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The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2021 Oct 12;2021(10):CD011589. doi: 10.1002/14651858.CD011589.pub2

Routine provision of feedback from patient‐reported outcome measurements to healthcare providers and patients in clinical practice

Chris Gibbons 1, Ian Porter 2, Daniela C Gonçalves-Bradley 3,4, Stanimir Stoilov 5, Ignacio Ricci-Cabello 6, Elena Tsangaris 7, Jaheeda Gangannagaripalli 8, Antoinette Davey 8, Elizabeth J Gibbons 9, Anna Kotzeva 10, Jonathan Evans 8, Philip J Wees 11, Evangelos Kontopantelis 12, Joanne Greenhalgh 13, Peter Bower 14, Jordi Alonso 15, Jose M Valderas 16,
Editor: Cochrane Effective Practice and Organisation of Care Group
PMCID: PMC8509115  PMID: 34637526

Abstract

Background

Patient‐reported outcomes measures (PROMs) assess a patient’s subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback  on PROMs can support decision‐making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback.

Objectives

To assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient‐reported health outcomes and processes of care.

Search methods

We searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field.

Selection criteria

Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information.

Data collection and analysis

Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta‐analyses of the results where possible.

Main results

We identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies.

The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias.

The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient‐physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI ‐0.17 to 0.24; 2 studies, 552 participants; low‐certainty evidence), social functioning (SMD 0.02, 95% CI ‐0.06 to 0.09; 15 studies; 2632 participants; moderate‐certainty evidence), and pain (SMD 0.00, 95% CI ‐0.09 to 0.08; 9 studies; 2386 participants; moderate‐certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion.

Authors' conclusions

PROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether   many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high‐quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.

Plain language summary

Using patient questionnaires for improving clinical management and outcomes

What is the aim of this review?

The aim of this Cochrane Review was to find out whether healthcare workers who receive information from questionnaires completed by their patients give better health care and whether their patients have better health. We collected and analysed all relevant studies.

Key messages

Patient questionnaire responses fed back to health workers and patients may result in moderate benefits for patient‐provider communication and small benefits for patients' quality of life. Healthcare workers probably make and record more diagnoses and take more notes. The intervention probably makes little or no difference for patient's general perceptions of their health, social functioning, and pain. There appears to be no impact on physical and mental functioning, and fatigue. Our confidence in these results is limited by the quality and number of included studies for each outcome.

What was studied in the review?

When receiving health care, patients are not always asked about how they feel, either about their physical, mental or social health. This can be a problem as knowing how the patient is feeling might help to make decisions about diagnosis and the course of the treatment. One possible solution is to ask the patients to complete questionnaires about their health, and then give that information to the healthcare workers and to patients.

What are the main results of the review?

We found 116 studies (49,785 participants), all of which were from high‐income countries. We found that feeding back patient questionnaire responses to healthcare workers and patients probably slightly improves quality of life and increases communication between patients and their doctors, but probably does not make a lot of difference to social functioning. We are not sure of the impact on physical and mental functioning or fatigue of feeding back patient questionnaire responses as the certainty of this evidence was assessed as very low. The intervention probably increases diagnosis and note‐taking. We did not find studies reporting on adverse effects defined as distress following or related to Patient‐reported outcomes measures (PROM) completion.

How up‐to‐date is this review?

The review authors searched for studies that had been published up to October 2020.

Summary of findings

Summary of findings 1. PROM feedback compared to usual care for improve processes and outcomes of care.

PROM feedback compared to usual care for improve processes and outcomes of care
Patient or population: ambulatory adult patients.
Setting: primary and secondary care settings in North America and Europe.
Intervention: PROM feedback reported to physicians or both patients and physicians.
Comparison: usual care.
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants
(studies) Certainty of the evidence
(GRADE) Comments
Risk with usual care Risk with PROM feedback
Quality of life SMD 0.15
(0.05 to 0.26) favouring PROM feedback vs usual care
 
2687
(11 randomised trials) ⊝⊕⊕⊕
Moderate 1
 
PROM feedback probably slightly improves quality of life.
 
Quality of life was assessed using the EuroQoL‐5D (EQ‐5D) KIDSCREEN‐10, Manchester Short Assessment for Quality of Life (MSAQ) , Short Form‐36 (SF‐36), and the Functional Assessment of Cancer Therapy (FACT) PROMs.
 
Three additional studies also measured overall quality of life; one favoured the intervention and for the other two there was little or no difference between groups.
General health perceptions SMD 0.04
(‐0.17 lower to 0.24) indicating little or no difference between PROM feedback and usual care. 
 
552
(2 randomised trials) ⊕⊕⊝⊝
Low 1, 2 PROM feedback may make little or no difference to general health perceptions.
 
Functioning Physical functioning  
SMD ‐0.10
(‐0.30 to 0.10) indicating little or no difference between PROM feedback and usual care.  2788
(14 randomised trials) ⊕⊝⊝⊝
Very low 3, 4 The evidence is very uncertain about the effect of PROM feedback on physical functioning.
 
Physical functioning was assessed using the physical functioning subscales of the Short Form‐12 (SF‐12), Short form‐36 (SF‐36) Patient‐Physican Communication on HRQOL, European Organization for Research and Treatment of Cancer (EORTC‐QLQ‐30) physical functioning, KIDSCREEN‐10, Functional Living Index ‐ Cancer (FLIC) PROMs.
Mental functioning  
SMD 0.16
(0.06 to 0.27) favouring PROM feedback vs usual care 7782
(34 randomised trials) ⊕⊝⊝⊝
Very low 1, 4 The evidence is very uncertain about the effect of PROM feedback on mental functioning.
 
Mental functioning was assessed using the Outcomes Questionnaire ‐ 45 (OQ‐45), the Outcomes Rating Scale (ORS), General Health Questionnaire (GHQ), Short Form ‐ 12 (SF‐12), Patient‐physician communication on HRQOL, European Organization for Research and Treatment of Cancer (EORTC‐QLQ‐30) mental functioning, World Health Organization ‐ 5 (WHO‐5), Beth Isreal‐UCLA Functional Status, Functional Living Index ‐ Cancer (FLIC) PROMs.
 
Six other studies also reported mental functioning, for five studies there was little or no difference between groups and for the sixth study it was not possible to ascertain the direction of the effect.
Social functioning  
SMD 0.02
(‐0.06 to 0.09) indicating little or no difference between PROM feedback and usual care.  2632
(15 randomised trials) ⊕⊕⊕⊝
Moderate 1 PROM feedback probably makes little or no difference to social functioning.
 
Social functioning was assessed using the Community‐Oriented Programs Environment Scale (COPES), the Functional Assessment of Cancer Therapy (FACT), Work and Social Adjustment Scale (WSAS), Short Form‐12 (SF‐12), Short Form‐36 (SF‐36), KIDSCREEN‐27, Beth Isreal‐UCLA Functional Status, Functional Living Index ‐ Cancer (FLIC) PROMs.
 
One study also reported social functioning, finding little or no difference between groups.
Symptoms Pain  
SMD ‐0.00
(‐0.09 to 0.08) indicating little or no difference between PROM feedback and usual care.  2386
(9 randomised trials) ⊕⊕⊕⊝
Moderate 1 PROM feedback probably makes little or no difference for pain.
 
Pain was assessed using the Short‐Form 36 (SF‐36), European Organization for Research and Treatment of Cancer (EORTC‐QLQ‐30) pain module, Symptom Monitor, and the Roland‐Morris Disability Questionnaire
Fatigue  
SMD 0.03
(‐0.29 to 0.36) indicating little or no difference between PROM feedback and usual care.  741
(4 randomised trials) ⊕⊝⊝⊝
Very low 1, 2, 4 The evidence is very uncertain about the effect of PROM feedback on fatigue.
 
Fatigue was assessed using the Chronic Heart Failure Questionnaire, Symptom Monitor, and the European Organization for Research and Treatment of Cancer (EORTC‐QLQ‐30) fatigue module.
Patient‐physician communication SMD 0.36
(0.21 to 0.52) favouring PROM feedback vs usual care 658
(5 randomised trials) ⊕⊕⊕⊝
Moderate 1 PROM feedback probably increases patient‐physician communication.
 
Communcation was assessed using patient‐physician communication on HRQOL, Consumer Assessment of Healthcare Providers and Systems Clinician and Group Survey (CAHPS) PROM, number of topics discussed.
 
One study not included in the pooled analysis indicated that participants allocated to the intervention rated communication with their physician better than those allocated to usual care.
Diagnosis and notation Study population RR 1.73
(1.44 to 2.08) 7223
(21 randomised trials) ⊕⊕⊕⊝
Moderate 4 PROM feedback probably increases diagnosis and notation.
 
Diagnosis and notation was assessed using chart review.
172 per 1,000 347 per 1,000
(278 to 423)
Disease control Study population RR 1.25
(1.10 to 1.41) 2806
(14 randomised trials) ⊕⊕⊕⊝
Moderate1 PROM feedback probably leads to an increase in disease control.
 
Disease control was assessed using both PROMs and chart‐based assessments including Partners for Change Outcome Measurement System (PRCOMS), Outcomes Questionnaire ‐ 45 (OQ‐45), Outcomes Rating Scale (ORS), Primary Care Screener for Affective Disorders, Cutting down; Annoyance by criticism, Guilty feeling, and Eye‐openers (CAGE) questionnaire; New York Heart Association class, Geriatric Depression Scale (GDS), Beck Depression Inventory (BDI), and Diagnostic and Statistical Manual (DSM; depression symptoms >= 1).
300 per 1,000 400 per 1,000
(345 to 458)
Adverse effects ‐‐ ‐‐ ‐‐ ‐‐ ‐‐ We did not find studies reporting on adverse effects.
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; OR: Odds ratio;SMD: Standardised mean difference.
GRADE Working Group grades of evidenceHigh certainty: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate certainty: we are moderately confident in the effect estimate; the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low certainty: our confidence in the effect estimate is limited; the true effect may be substantially different from the estimate of the effect.
Very low certainty: we have very little confidence in the effect estimate; the true effect is likely to be substantially different from the estimate of effect.

1 We downgraded one point for risk of unblinding due to the nature of the intervention in the majority of studies.

2 We downgraded one point for imprecision due to the small number of studies with wide confidence intervals included in meta‐analysis.

3 We downgraded one point for high risk of bias in multiple studies.

4 We downgraded one point for inconsistency due to statistical heterogeneity.

Background

Description of the condition

Definition of patient‐reported outcome measures

Patient‐reported outcomes measures (PROMs) assess patients' subjective appraisal of outcomes from their own perspective (Valderas 2008b). PROMs feedback offer complementary information to the objective measurements usually collected (Porter 2016).

Historically, the use of PROM information has been far less common in clinical practice than in research, where PROMs are often selected as outcome measures in clinical trials (FDA 2009;Fitzpatrick 1998; Nelson 2015Valderas 2008c). At an individual level and within the clinician‐patient interface, PROMs have been used for screening and monitoring a condition, such as depression symptoms; for monitoring the progress of the patient during the course of treatment or throughout time; and for promoting patient‐centred care, by explicitly assessing the patient’s perspective (Basch 2016; Greenhalgh 2009).

Description of the intervention

Patient reported outcomes (PRO) have been defined as assessments of any aspect of a patient’s health status which are provided directly by the patient (FDA 2009; Valderas 2008b), usually through a questionnaire scale referred to as PROMs. Patient‐reported outcome is an umbrella term: it can be applied to an array of different outcomes, including symptoms, functioning, perceived health status and health‐related quality of life (Black 2013; McKenna 2011).

PROMs that measure aspects of health which are relevant to all people are referred to as generic. One such example is the Short Form 36, which assesses, alongside specific symptoms, physical functioning and psychological well‐being, as well as evaluating overall self‐reported health (Garratt 1993Valderas 2008d). In theory, such generic measures can be used within and between populations, regardless of age, gender, and disease or condition. Concerns regarding the suitability of generic PROMs for patients and groups with specific conditions has led to the development of PROMs with a narrower focus on a single group of patients. (Garratt 2002). So called disease‐specific PROMs are widely available for common conditions such as diabetes (Bradley 1999), to less frequent ones, including amyotrophic lateral sclerosis (Gibbons 2011), and haemophilia (Arranz 2004).

When used in clinical practice at the level of the individual patient level, PROM feedback forms part of a complex intervention which can include a number of different components (Craig 2008). The fundamental components of a PROM intervention is that: a) patients complete one of more questionnaires and b) the results are fed back to the clinician, the patient, or both. The International Society for Quality of Life Research has defined a set of eight considerations which ought to be followed when implementing PROMs in clinical practice; establishing the goals;identifying patients and settings; selecting questionnaires; defining the administration and scoring procedures; reporting results; facilitating score interpretation; establishing protocols to address issues raised by the questionnaires; and assessing the eventual impact of the questionnaire in clinical practice (Snyder 2012).

While evidence can be found that these steps have been followed in many PROM feedback interventions, considerable variation is also apparent. For instance, instruments can be self‐completed (Rand 1988) or interviewer‐administered (German 1987); completed in the clinical setting (Christensen 2005) or posted to the patient’s home (Lewis 1996); and supported by an electronic format such as online or tablet administration (Basch 2016; Velikova 2004) or rely on pencil and paper (Trowbridge 1997). As for the feedback, discrepancies might exist between trials as to when the information is given to healthcare professionals, e.g. immediately before the visit (Berry 2011); and how it is given, e.g. printed form (Saitz 2003); and by whom, e.g. available in the notes (Linn 1980). More importantly, considerable differences occur regarding the amount of feedback provided. For example, in some studies the only information fed back to healthcare professionals were the scores each patient obtained in the PROM (Bergus 2005), whereas in other studies professionals were given information on how to apply interpretation guidelines for the scores (Rosenbloom 2007), or treatment guidelines for the conditions detected by the PROM (Saitz 2003). The number of times the patient completes the PROM can also vary considerably, from single responses (Hoeper 1984) to feedback at multiple points (Cleeland 2011; Klinkhammer‐Schalke 2012). Reflecting this, there is also variation in whether the clinician receives the PROM scores immediately or at given intervals (e.g. daily, weekly). Finally, the endpoints used to assess the impact of PROM feedback in clinical practice have also been a source of considerable variation, with trials inconsistently reporting on processes of healthcare (e.g. patient‐clinician communication), outcomes of healthcare (e.g. changes in the number or rate of symptoms or complaints), and patient experience (e.g. overall satisfaction with care).

How the intervention might work

The Feedback Intervention Theory (FIT) posits that behaviour is regulated through comparison with standards or goals, and that feedback can draw attention to existing gaps between current and ideal states (Kluger 1996). In the context of PROM feedback interventions, PROM scores are being presented to either patients or clinicians to highlight specific issues and, in some cases, are presented alongside information designed to help to address the highlighted issues (Greenhalgh 2017). For example, If a patient scores above the established cut‐off point in a depression screening PROM, then the healthcare professional will be made aware of this discrepancy between the desired state of psychological well‐being and the current distress experienced by the patient. In this case, the PROM feedback and the desired outcome may be measured by the same PROM. Other interventions may utilise PROM feedback to improve other outcomes, such as an intervention to feedback information relating to symptoms of cancer and its treatments with the goal of reducing emergency room visits.  Whether the same PROMs are used to provide feedback and measure outcomes or not, FIT further postulates that once the gap has been identified, different methods can be followed in order to decrease this gap and attain the standard, including increasing the effort currently being made(Kluger 1996). 

Feedback to patients and clinicians could be expected to modify a number of behaviours (Greenhalgh 2017Greenhalgh 2018Porter 2016). Feedback to clinicians could be substantiated by the professional using several strategies, including providing advice, referring to other services, or altering the patient's medication plan. All of these are processes of care that would, potentially, trigger improvements in outcomes, such as improved functioning and increased health‐related quality of life. Feedback given directly to patients could result in additional care being sought or implementing self‐management solutions relating to the PROM scores. However, whether these outcomes do materialise depends on a range of other contextual factors including the patient or clinician's willingness or ability to act on the provided feedback as well the patient’s acceptance of, and adherence to, any treatment changes and the effectiveness of that treatment.

Why it is important to do this review

In the UK, PROMs are one of the cornerstones of National Health Service reform for the transition towards a patient outcomes‐oriented performance model (Black 2016Calvert 2019Valderas 2012). In the USA, initiatives such as the Patient Reported Outcomes Measurement Information System (Alonso 2013PROMIS 2007), funded by the National Institutes of Health, or the inclusion of PROMs in electronic health record software, such as EpicCare (EpicCare 2015) held by Group Health Cooperative, highlight the progressive relevance these outcome measures play in healthcare contexts. The US Department of Health and Human Services also plans to incorporate PROMs into meaningful use standards, which is likely to prompt more widespread use (Hostetter 2011).

The level of evidence for the impact of assessing outcome using PROM feedback in clinical practice has been mixed (Espallargues 2000Gilbody 2001Greenhalgh 1999Marshall 2006Valderas 2008a). Valderas 2008a found that there was more evidence for impact upon the processes rather than the outcomes of care. Specifically, there was an increase for the rate of diagnoses and chart notations for the conditions targeted by the interventions (e.g. diagnosis of depression in primary care). Similarly, there was also a positive effect on the advice and education provided by the healthcare professionals. Furthermore, Valderas 2008a identified a total of 36 endpoints for the 28 randomised trials included in their systematic review, which seems to reiterate the lack of consensus amongst researchers of how the intervention should work and thus what constitutes a relevant indicator when using PROMs in clinical practice.

Notwithstanding the potential benefits for clinical practice, several objections have been raised in relation to their routine use. Healthcare professionals have expressed doubts about the clinical utility of PROM feedback, as they consider that little value is added to their clinical judgement (Leydon 2011Taylor 1996). Healthcare professionals have also described how burdensome the use of PROMs can be, as it requires time to administer the measures and time to learn how to analyse and interpret the results (Brown 2006) and also to integrate them into clinical practice in an efficient and non‐disruptive manner (Nelson 1990). Clinicians have voiced concerns that the PROMs might represent a threat to the holistic nature of the patient‐doctor relationship (Leydon 2011). It has also been suggested that PROMs increase the healthcare professional’s responsibility and burden of care, as they might detect problems that could otherwise go unnoticed (Tavabie 2009). Finally, the use of PROMs has been increasingly advocated for guiding the provision of care for people with multiple chronic conditionsValderas 2009Smith 2021Valderas 2019

Taking both the potential benefits and risks and the current health policy initiatives into account, it becomes essential to ascertain to what extent the use of PROMs in clinical practice does actually improve processes and outcomes of care. Previous reviews have provided mixed evidence and a number of relevant studies have been subsequently published (Valderas 2010).

Objectives

To assess the effects of Patient‐reported outcomes measures (PROMs) feedback to patients, healthcare workers, or both on patient‐reported health outcomes and processes of care.

Methods

Criteria for considering studies for this review

Types of studies

Randomised trials and cluster‐randomised trials, where individuals (healthcare professionals or patients) or groups of individuals (including whole hospitals or practices) were randomly allocated to either a control or an intervention group. We did not include studies that follow a non‐randomised design, such as before‐after studies and interrupted time series. The protocol of this review is available on the Cochrane LibraryGonçalves‐Bradley 2015.

Types of participants

We only included studies where participants have been recruited in primary (e.g. health practitioner’s office) or secondary/tertiary (e.g. hospital) care settings in order to ensure that interventions were delivered as part of clinical care. We excluded studies conducted outside primary and secondary/tertiary healthcare settings (e.g. assisted living facilities) in order to ensure that PROM feedback was used for clinical purposes only. There were no age or gender restrictions, nor restrictions based on the presence or absence of any specific disease.

Types of interventions

We only included studies if they reported a replicable intervention, where standardised or individualised PROMs were administered to patients and the resulting information on each individual patient was subsequently fed back to healthcare providers or patients, or both. Patient‐reported outcome measures were defined as the assessment of any aspect of a patient’s health status which is provided directly by the patient (FDA 2009), usually through a questionnaire or scale. PROMs could be used for a number of different outcomes, including measurements of health status, quality of life, symptoms and functioning (McKenna 2011). A replicable intervention was defined as one where details of the content and timing of the assessment and feedback provision were clearly described. We included studies regardless of whether feedback was provided to patients only or to healthcare providers only, or to both. We included studies irrespective of whether the results were fed back along with guidelines regarding their optimal use, or other educational strategies. We included studies if they were conducted either during a specific procedure, for instance a surgical procedure; or during routine care, for example a primary‐care appointment. The comparison (control) condition consisted of routine clinical practice without the feedback of any information to the healthcare professionals.

 When multiple control arms were included, we selected as control the arm that most closely reproduced standard care. For intervention arms, we selected the arm that included the least additional components (other than PROMs were fed‐back)Cochrane Handbook 5.1.0, Section 16.5.4.

Types of outcome measures

Our primary outcomes included generic or disease‐specific patient‐reported outcomes such as health‐related quality of life and functioning. Secondary outcome measures were considered to assess processes of care. 

The intervention is hypothesised to increase the awareness of those receiving feedback of health problems as perceived and reported by patients. Since the additionally available information on health problems that is fed back is patient‐reported, the main benefit of the intervention can be anticipated to be on health status as appraised by patient themselves (Greenhalgh 2017Greenhalgh 2018Porter 2016; Porter 2021). In addition, increased awareness of existing health problems can also have the negative effect of creating anxiety and distress on patients (Porter 2016Valderas 2012). 

Awareness of a health problem can potentially impact on a cascade of effects on processes of health care involving the appraisal of the severity of problem and consideration of whether it meets diagnostic criteria for a specific condition, proposing, implementing and monitoring a management. In the case of the patient as a recipient of the information, increased awareness may also trigger self‐management activities, activation and concordance with the agreed management plan (Greenhalgh 2017Greenhalgh 2018;Porter 2016Porter 2021). 

Primary outcomes

Our primary outcomes were:

  • patient‐reported outcomes: quality of life, general health perceptions, functioning, and symptoms, such as nausea, fatigue, and mental health‐related symptoms;

  • adverse effects: distress following or related to PROM completion.

Secondary outcomes

For the processes of health care, we considered the following endpoints:

  • patient‐physician communication (e.g. patients' ratings of the quality of the communication);

  • diagnosis and recognition (e.g. number of target diagnoses made);

  • treatment (e.g. changes to treatment);

  • health services and resource use (e.g. referral to specialist or social care);

  • patient behaviour (e.g. compliance with treatment);

  • patient empowerment (e.g. measured using available self‐reported instruments); and

  • healthcare professionals’ awareness of patients' quality of life.

Other outcomes included: patients' experiences (e.g. overall satisfaction with care) and healthcare professionals' perceptions (e.g. attitude and overall satisfaction with intervention); consultation length; healthcare costs.

Search methods for identification of studies

Electronic searches

We searched the Cochrane Database of Systematic Reviews (CDSR; to 2018, Issue 9) and the Database of Abstracts of Reviews of Effects (DARE; to 2015, Issue 2) for primary studies in related systematic reviews. We searched the following databases on 5 October 2020: 

  • MEDLINE Ovid (including in‐process and other non‐indexed citations; 1946 onwards) 

  • Cochrane Central Register of Controlled Trials (CENTRAL; 2020, Issue 10) in the Cochrane Library

  • Embase Ovid (1974 onwards) 

  • PsycINFO Ovid (1806 onwards) 

  • CINAHL EBSCO (Cumulative Index to Nursing and Allied Health Literature; 1980 onwards)

The EPOC Cochrane Information Specialist (CIS) developed the search strategies in consultation with the authors. Search strategies are comprised of natural language and controlled vocabulary terms. We applied no language or date limits. All search strategies used are provided in Appendix 1

Searching other resources

Trial Registries

We searched the following trials registries on 5 October 2020:

  • International Clinical Trials Registry Platform (ICTRP), Word Health Organization (WHO) www.who.int/ictrp/en/;

  • ClinicalTrials.gov, US National Institutes of Health (NIH) clinicaltrials.gov/.

We also conducted the following measures:

  • screened previously published reviews for potentially‐relevant references;

  • contacted authors of the included studies to request information about ongoing studies.

Data collection and analysis

Selection of studies

Two review authors independently assessed each reference in title and abstract form to ascertain whether they met the eligibility criteria. We piloted the eligibility criteria against a random sample of approximately 1% of all the documents received, after which two review authors independently screened all the references. Because we were aiming for maximum sensitivity at this stage, we included all references assessed as relevant by at least one team member, and only excluded references unanimously assessed as irrelevant.

We followed the same strategy for the full‐text documents selected for inclusion in the review. We conducted a sensitivity strategy with a random sample of approximately 1% of the records. As at this stage in order for maximum specificity to be achieved, we discussed disagreements between team members until consensus was reached, and we only include references rated as relevant by all the review authors. We involved a third review author where consensus was not achieved. Whenever pertinent and possible, we contacted authors for the documents that received a discrepant rating, in order to clarify any queries. We documented the selection process using a PRISMA flow diagram and described all the studies that fulfil the inclusion criteria in the Characteristics of included studies table.

Data extraction and management

We independently saved all the retrieved results to a bibliographic database using reference management software (Reuters 2011). We saved all the results and removed any duplicates. Two review authors independently extracted data from the studies assessed as relevant during the stage of study, and we resolved any disagreements through discussion. We designed the data extraction form according to aspects considered to be relevant for the present systematic review, including those suggested by the Cochrane Effective Practice and Organisation of Care Group (EPOC 2014), and covered the following domains.

a) Study features: clinical setting (type of setting, academic status, and country); method of randomisation (including allocation concealment and blinding); unit of randomisation and analysis (patient/healthcare professional or practice/hospital); number of arms.

b) Participants' features: inclusion and exclusion criteria; patients' characteristics (socio‐demographic information using the PROGRESS framework; health condition; and whether new or known to the healthcare professional); healthcare professionals' characteristics (profession; level of training; and previous experiences with PROM feedback).

c) Intervention features: design, which were either: single simple feedback (one PROM at a single time); multiple simple feedback (one PROM at multiple times); single complex feedback (multiple PROMs at a single time); multiple complex feedback (multiple PROMs at multiple times); and how PROMs were used (which may be for the intervention or for assessing outcomes, or both); constructs measured; PROM categories/domains.

d) Administration features: method for data collection (self‐reported; interviewer; other); support used (pencil and paper; computer‐assisted; other); setting of data collection (home; clinical; other); facilitator (no facilitator; clinical facilitator; research facilitator; other); other relevant administration‐related characteristics.

e) Feedback: timing (associated with visits or not; scores given before appointments, during or other); amount of information provided (last score; previous scores; application of interpretation guidelines; application of treatment guidelines; other); support used (printed form; computer‐assisted; other); method for feeding back the information (handed by patients; handed by research staff; available in notes; other).

f) Description of the intervention: narrative description as provided by authors.

g) Results: results as provided by authors, both for processes and outcomes of care.

h) Other features: study identifier; source of funding; ethical approval; sample size calculation; prospectively‐identified barriers to change; methodological quality.

Complex health interventions pose specific challenges to assessment (Craig 2008); and data synthesis (Shepperd 2009). Specific recommendations on how to overcome these limitations have now been suggested, including identifying key components of the interventions and categorising them according to those components (Shepperd 2009). Hence, when extracting data we also categorised the identified interventions according to their main components.

Given the heterogeneity of outcomes in this review, we handled the outcome results in a two‐stage approach. In the first stage, we carried out the following measures.

1) Collated data according to the headings outlined in the Types of outcome measures section.

2) Extracted the appropriate data for each arm according to the principle of intention‐to‐treat (i.e. according to the original random allocation). For dichotomous data: number of patients experiencing outcome/total patient number. For continuous data: total patient number, outcome mean and standard deviation (SD). We sought continuous data reported as mean and SD for change in outcome from baseline (adjusted for baseline score); and, where not available, mean absolute outcome and SD at follow‐up was recorded. For other outcome types (e.g. event rate, time to event) we extracted data appropriately.

3) Extracted outcome data for all follow‐up points.

4) Extracted outcome data by subgroups according to the characteristics of the intervention (straight feedback of the results to the healthcare professional; or feedback along with guidelines regarding how to interpret results or other educational strategies); and patient characteristics (educational level). When required and feasible, data were transformed in order to standardise outcomes, for instance for differences in the direction of the scales.

We piloted the data extraction form with a small sample of articles. The sample was purposively selected to ensure heterogeneity in terms of type of studies and interventions. All researchers who participated in the data extraction took part in this pilot. Extracted data were stored in an electronic database, which was created using RevMan 5 (RevMan 2012).

Assessment of risk of bias in included studies

We assessed risk of bias based on criteria suggested by Cochrane (Higgins 2011) and additional criteria proposed by EPOC (EPOC 2017c), assessing the following nine domains: random sequence generation; allocation concealment; participants' blinding (either patients or healthcare providers); blinding of outcome assessment; similarity of baseline measurement, both for outcome measures and participants’ characteristics; incomplete outcome data; protection against contamination; selective reporting; and other sources of bias, including whether the used PROMs have been previously validated for the specific setting and population. We classified each parameter as high risk of bias, low risk of bias, or unclear, and obtained information was summarised in tabulated form, using RevMan 5 (RevMan 2012). As a guide, we judged a study as at high risk of bias if more than three of the nine individual items were considered to be high risk. We expressed level of confidence in the evidence for each outcome using the GRADE criteria, by assessing the type of evidence, limitations in study design, indirectness of evidence, unexplained heterogeneity of findings, imprecision of results, and probability of publication bias in accordance with the guidance of Higgins 2011. We assessed publication bias by inspecting funnel plots for all analyses. 

Measures of treatment effect

We calculated risk ratios with 95% confidence intervals (CIs) for dichotomous data. Where studies used continuous scales of measurement to assess the effects of the intervention, we used mean differences (MD) with 95% CIs; or, when studies used different scales or measurements, we used the standardised mean difference (SMD). Where studies used other outcome metrics, e.g. rates of events or time to event, we sought the appropriate overall measure of effect, e.g. rate RR, hazard ratio (HR). We used established guidelines to aid interpretation of effect sizes (Cohen 1988),  and considered estimates <0.35 to represents a small effect, 0.35 to 0.65 a moderate effect, and d>0.65 a large effect. Similarly, we considered RR estimates to correspond to small (0.66>RR>1.5), moderate (between 033>RR>0.66 or 1.5>RR>3), and large effects (either RR<0.33 or RR>3).

Unit of analysis issues

Where included studies included a cluster design, we contacted the trial authors to obtain an estimate of the intra‐cluster correlation (ICC) where appropriate adjustments for the correlation between participants within clusters had not been made, or imputed it using estimates from the other included trials, or from similar external trials. Where necessary, we inflated the trial standard errors (SEs). We attempted to either reduce the size of trials to its ‘effective sample size’ or recalculate the effects using an approximately correct analysis and using design effect calculated from the ICC (Higgins 2011). Whenever studies included more than one intervention arm, we combined arms to create a single pair‐wise comparison or conducted pair‐wise comparisons by comparing each intervention arm to the control arm (splitting the control arm sample size).

Dealing with missing data

We attempted to obtain any missing information which was necessary to conduct our analyses by contacting the authors of the trials. Missing information included outcome data including estimates of distribution and number of patients included in each analysis. 

For dichotomous outcomes, we carried out analyses according to the intention‐to‐treat (ITT) method (Higgins 2011), which includes all participants irrespective of compliance or follow‐up. For the primary analyses, we assumed that participants lost to follow‐up were alive, and had no serious adverse events. For continuous outcomes, we performed available patient analysis and included data only on those for whom results were known (Higgins 2011). Wherever it had not been possible to obtain SDs either from authors or by calculation, we planned for the missing data to be imputed by using SDs from other included trials, specifically trials with a low risk of bias (Furukawa 2006). However, heterogeneity in populations and measures prevented us from doing so in all the relevant cases. 

Assessment of heterogeneity

We explored clinical heterogeneity across studies by comparing the population, intervention and control arms. We explored statistical heterogeneity observed in the trials both by visual inspection of a forest plot, and by using a standard Chi² value with a significance level of P = 0.10. We assessed heterogeneity using the I² statistic. An I² estimate greater than 50% was interpreted as evidence of a substantial problem with heterogeneity (Higgins 2011). Where this was the case, we explored reasons for heterogeneity.

Assessment of reporting biases

We did not assess reporting biases through visual inspection of funnel plots.

Data synthesis

We performed data synthesis according to recommendations in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), using RevMan 5 (RevMan 2012) and STATA v13 (StataCorp 2013). Given the likely heterogeneity of data in this review, we handled the outcome results in a two‐stage approach. In the first stage, we: (1) collated data according to the headings outlined in the Types of outcome measures section; (2) according to outcome, extracted the appropriate data for each arm according to the principle of ITT (i.e. according to the original random allocation): for dichotomous data: number of patients experiencing outcome/total patient number; for continuous data: total patient number, outcome mean and SD. We sought continuous data reported as mean and SD for change in outcome from baseline (adjusted for baseline score) and where not available, we recorded mean absolute outcome and SD at follow‐up. For other outcome types (e.g. event rate, time to event) we extracted data appropriately; (3) we extracted outcome data at all follow‐up points; (4) where reported, we also extracted this outcome data by subgroups according to the characteristics of the intervention (straight feedback of the results to the healthcare professional; feedback along with guidelines regarding how to interpret results or other educational strategies) and patient characteristics (educational level).

In the second stage, based on the quality and consistency of outcome reporting, we decided to synthesise results across studies using either a formal quantitative meta‐analytic approach or a more descriptive approach that focused on summarising the size and direction of treatment effect separately for each individual study. Where sufficient information was provided by the studies included in the review, the potential impact of moderator variables was considered through meta‐regression analysis. When required and feasible, we transformed data in order to homogenise outcomes, for instance for differences in the direction of the scales. We assessed heterogeneity using the I² statistic (Higgins 2003). Due to the expected heterogeneity of the data, we employed random‐effects methods (Deeks 2008). Further specification of the methods for analysis, e.g. MD versus SMD, was tailored to the type of outcome data. When the heterogeneity of studies was found to be substantial, i.e. I² above 50%, we performed a meta‐analysis to quantify the results by calculating effect sizes (EPOC 2014b).

Subgroup analysis and investigation of heterogeneity

We did not hypothesise interactions or effect modifiers in this review, and therefore we did not pre‐specify stratified meta‐analysis or meta‐regression analyses (except for risk of bias — see Sensitivity analysis below). However, where conducted, we extracted data and reported trial‐level subgroup analyses to inform hypothetical models of subgroup analysis for future meta‐analyses.

Sensitivity analysis

We conducted a sensitivity analysis by verifying the impact that the exclusion of certain studies (e.g. those with high overall risk of bias (see definition above), and those with large samples) has on the overall results. We defined a large sample as having more than twice the number of patients than the second largest study in that analysis. Whenever relevant and possible we attempted to contact study authors in order to obtain missing information. Where authors failed to provide missing information, existing data were analysed and the hypothetical impact of the missing data examined as a sensitivity analysis. Finally, we undertook a sensitivity analysis to examine the impact varying the ICC for reanalysis of cluster‐randomised trials.

Summary of findings and assessment of the certainty of the evidence

Four review authors (CSG, IP, ET, JMV) worked in two groups to assess the certainty of the evidence (high, moderate, low, and very low) using the five GRADE considerations: risk of bias, inconsistency, imprecision, indirectness, and publication bias (Guyatt 2008). We used methods and recommendations described in the Cochrane Handbook for Systematic Reviews of Interventions (Schünemann 2019) and the EPOC worksheets (EPOC 2017), using GRADEpro software (GRADEpro GDT). We resolved disagreements on certainty ratings by discussion and provided justification for decisions to down‐ or upgrade the ratings using footnotes in the table, making comments to aid readers' understanding of the review where necessary. We used plain language statements to report these findings in the review (EPOC 2017b).

We created a summary of findings table with the following outcomes in order to draw conclusions about the certainty of the evidence within the text of the review: quality of life, general health perceptions, functioning (physical, mental, and social), symptoms (pain and fatigue), patient‐physician communication, diagnosis and notation, and adverse effects.

We considered whether there was any additional outcome information that we were not able to incorporate into meta‐analyses, noted this in the footnotes and stated if it supports or contradicts the information from the meta‐analyses. When it was not possible to meta‐analyse the data, we summarised the results in the text and in the comments section of the summary of findings tables.

Results

Description of studies

See Characteristics of included studies for more information.

Results of the search

The electronic searches yielded 30,191 references for screening, with an additional 27 references identified from other sources. After we removed duplicates, we screened 16,653 records against title and abstract. Of these, we excluded directly or indirectly 16,009 records following title and abstract screening (Figure 1). We retrieved full texts for 644 records which two independent reviewers assessed for eligibility. We excluded further 457 records (see Characteristics of excluded studies). We included 116 studies in this review, from 125 records. We identified 51 ongoing studies (see Characteristics of ongoing studies), and there is one study awaiting classification (see Characteristics of studies awaiting classification).

1.

1

Study flow diagram.

Included studies

One hundred and sixteen studies met our inclusion criteria. The individual studies are described in detail in the Characteristics of included studies table.

Population/Participants

There was a total of 49,785 participants randomised across all the included studies. The number of patients randomised ranged from 30 (Blonigen 2015) to 2284 (Stuck 2015). There was a wide variation in the time to follow‐up between one month and two years. Studies were conducted across a broad range of settings including primary and secondary care clinics in North America and Europe.

Mean age varied between 22 (Lambert 2001) and 80 years (Hadjistavropoulos 2009). Seventy‐three studies recruited a higher percentage of women compared to men, including one study (Wheelock 2015) which recruited 100% women (breast cancer study). Twenty‐seven studies recruited more men than women, including two which had 100% male recruitment, one was a prostate cancer study (Davis 2013), the other too few women were recruited so were excluded from the sample altogether (Magruder‐Habib 1990). Three studies recruited an equal proportion of females and males (Anker 2009Rand 1988van der Hout 2020). A minority of studies did not report exact or accurate figures for gender, e.g. ‘about two thirds female’ (German 1987) including six which did not report clearly enough to indicate whether more men or women were recruited.

Description of the interventions

Included studies were conducted in high‐income countries including the USA, Canada, Ireland, Spain, the UK, France, the Netherlands, Norway, Denmark, Sweden, Switzerland, Italy, Australia and New Zealand.

All interventions were designed to elicit information from patients using a standardised patient‐reported outcome measure (PROM )and fed that information back to either patients, clinicians, or both. Different types of PROMs as well as administration methods and timings were used. Studies either assessed PROM feedback once at a single visit, multiple times prior to or during scheduled ambulatory visits, or by assessing patients in the community at pre‐specified intervals. 27 studies utilised single simple feedback (one PROM at a single time); 37 studies utilised multiple simple feedback (one PROM at multiple times); 7 studies utilised single complex feedback (multiple PROMs at a single time); 45 studies utilised multiple complex feedback (multiple PROMs at multiple times). The majority of studies (84 studies) utilised a domain or disease‐specific PROM, 24 studies used both and generic and disease‐specific tool, and the remaining 8 studies reported the use of a generic PROM alone.

In total, 58 of the included studies used paper‐based PROMs, 47 studies used electronic administration methods, while 3 studies used a combination of both. The assessment method was unclear in the remaining 8 studies. 

Information was most frequently fed‐back to clinicians alone (74 studies). Some studies reported feeding this information back to both patients and clinicians (35 studies). Only three studies fed the information back to patients alone (Gossec 2018LeBlanc 2019van der Hout 2020). In the Gossec 2018 study it was at patients’ discretion how many times they recorded information and received feedback, and in turn could share the feedback with clinicians at their instigation, while the LeBlanc 2019 and van der Hout 2020 studies both recommended professional health‐care options based upon symptoms.

Funding sources

Most studies were funded by governmental or academic grants. Some studies were partially or fully funded by pharmaceutical companies (Gilliam 2004Lugtenberg 2020Mathias 1994Mazonson 1996Moore 2019Myasoedova 2019Schriger 2001Schriger 2005van Os 2003), a health‐insurance fund (Scheidt 2012), a home‐assistance company (Mathias 1994), a contract research organisation (Gossec 2018), and a digital platform for early detection of disease (Denis 2017). Seventeen studies did not report funding sources.

Excluded studies

We excluded 58 studies (456 reports and present in the Characteristics of excluded studies the 58 studies for which we could not reach immediate consensus, or that readers might expect to see included in the review. The main reason for exclusion was wrong intervention, as PROMs feedback was not part of the intervention (49 studies).

Risk of bias in included studies

For a summary assessment of the risk of bias of the included studies see Figure 2 and Figure 3.  Most studies were at high risk of bias for blinding of patients and personnel (performance bias) and blinding of outcomes assessment (detection bias). We did not find any evidence of publication bias in the funnel plots of the studies included in the meta‐analyses except for studies evaluating the impact of the intervention in dyspnoea, anxiety, and disease control, for which there seemed to be a fewer studies  than expected with small sample sizes and negative results. 

2.

2

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

3.

3

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Allocation

We assessed sequence generation as high risk of bias in 10 studies (Absolom 2021Anker 2009Berking 2006Christensen 2005Dowrick 1995bGerman 1987McCusker 2001Scheidt 2012Subramanian 2004Zung 1983).

Thirty‐one studies had a high risk of allocation disclosure (Amble 2014Berking 2006; Calkins 1994Callahan 1994Callahan 1996Cherkin 2018Detmar 2002Goldsmith 1989Gutteling 2008Hadjistavropoulos 2009Hoekstra 2006Kendrick 2017Mathias 1994Mazonson 1996Murillo 2017Priebe 2007Puschner 2009Rand 1988Rubenstein 1995Ruland 2003Saitz 2003Scheidt 2012Slade 2006bStrasser 2016Subramanian 2004Trudeau 2001Wasson 1992White 1995Whooley 2000Wikberg 2017Wolfe 2014).

Blinding

Due to the nature of the interventions in this review, which all included the routine administration and feedback of PROMs in clinical practice, it was not feasible to blind participants and personnel, hence we necessarily assessed this criterion as high risk in most studies. We did not have enough information to make a decision for Atreja 2018Cooley 2016Haas 2016. Similarly, we deemed the blinding of outcomes assessment as high risk in most studies, as due to the nature of the interventions blinding of outcomes was not possible, PROMS used for feedback were also used to assess outcome. For 17 studies (Absolom 2021Atreja 2018Bastiaansen 2018Bryant 2020Cooley 2016Dueck 2015Franco 2020Haas 2016Kuo 2020LeBlanc 2019Lugtenberg 2020Moore 2019Myasoedova 2019Richardson 2019Tolstrup 2020Valles 2017van der Hout 2020), there was not enough information to make a decision and we assessed those studies to have an unclear risk of detection bias. We assessed one study to be at low risk of detection bias as the main outcome was objective and directly collected from the health records (Sandheimer 2020).

Baseline characteristics and outcome measurements

We assessed differences in baseline characteristics between intervention and control groups as high risk in nine studies (Amble 2014Hadjistavropoulos 2009McCusker 2001Puschner 2009Simon 2012Strasser 2016Thomas 2016Valles 2017Wagner 1997).

Ten studies had a risk of bias for differences in baseline outcome measurements between intervention and control groups (Anderson 2015Blonigen 2015De Jong 2014Denis 2017Kendrick 2017Nimako 2017Puschner 2009Trudeau 2001Valles 2017Zung 1983).

Incomplete outcome data

Inadequate strategies for addressing incomplete data leading to high risk of bias were evident in 26 studies (Anderson 2015Anker 2009Callahan 1994Callahan 1996De Jong 2012De Jong 2014Dowrick 1995aGossec 2018Haas 2016Hadjistavropoulos 2009Hawkins 2004Kazis 1990Kendrick 2017Lugtenberg 2020Magruder‐Habib 1990Moore 1978Murphy 2012Rubenstein 1995Saitz 2003Scheidt 2012Schottke 2019Simon 2012Strasser 2016Thomas 2016Whipple 2003Wikberg 2017). 

Protected against contamination

Thirty‐four studies were at high risk of contamination (Absolom 2021Amble 2014Anker 2009Bastiaansen 2018Bryant 2020Christensen 2005Cleeland 2011Detmar 2002Dowrick 1995aDowrick 1995bFranco 2020Hoeper 1984Kazis 1990Lambert 2001Linn 1980Lugtenberg 2020Magruder‐Habib 1990McLachlan 2001Nimako 2017Nipp 2019Pouwer 2001Richardson 2019Rubenstein 1995Saitz 2003Sandheimer 2020Simons 2015Slade 2006bStuck 2015Thomas 2016Tolstrup 2020Wagner 1997Whipple 2003Wikberg 2017Zung 1983).

Selective reporting

Six studies were at high risk for selective outcome reporting (Hoeper 1984LeBlanc 2019Lugtenberg 2020Mazonson 1996Reese 2009Yager 1981).

Other potential sources of bias

We did not assess other potential sources of bias.

Effects of interventions

See: Table 1

Our comprehensive search of the literature identified 116 randomised studies which evaluated the impact of patient‐reported outcome assessment and feedback on either processes or patient‐reported outcomes of care. We conducted 37 analyses in 15 categories of Quality of Life, Health Perceptions, Functioning, Symptoms, Communication, Clinician‐rated severity, diagnosis and notation, Pharmacological treatment, Counselling, Referrals, Visits and sessions, Hospital admissions and length of stay, Disease control, Patient perceptions, Quality of care, and Costs. For specific details on the certainty of the evidence, refer to Table 1 and Table 2.

1. PROM feedback compared to usual care for improve processes and outcomes of care.

PROM feedback compared to usual care for improve processes and outcomes of care: additional analyses not included in Summary of Findings.  
Patient or population: Ambulatory adult patients.
Setting: Primary and secondary care settings in North America and Europe.
Intervention: PROM feedback reported to physicians or both patients and physicians.
Comparison: Usual care.
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants
(studies) Certainty of the evidence
(GRADE) Comments
Risk with usual care Risk with PROM feedback
Symptoms Dyspnoea  
SMD ‐0.11
(‐0.32 to 0.11) indicating no difference between PROM feedback and usual care 765
(5 randomised trials) ⊕⊝⊝⊝
Very low 1, 2, 3 We are uncertain about the effect of PROM feedback on dyspnoea.
Nausea  
SMD ‐0.08
(‐0.76 to 0.59) indicating no difference between PROM feedback and usual care 239
(2 randomised trials) ⊕⊝⊝⊝
Very low 1, 2, 3 We are very uncertain about the effect of PROM feedback on nausea.
Cough  
SMD ‐0.14
(‐0.75 to 0.48) indicating no difference between PROM feedback and usual care 122
(2 randomised trials) ⊕⊝⊝⊝
Very low 1, 2, 3 The evidence is very uncertain about the effect of PROM feedback on cough.
Depressive symptoms  
SMD ‐0.12
(‐0.19 to ‐0.05) indicating no difference between PROM feedback and usual care 3449
(16 randomised trials) ⊕⊕⊕⊝ Moderate 1 PROM feedback probably results in a slight reduction in depressive symptoms.
Anxiety symptoms  
SMD ‐0.17
(‐0.31 to ‐0.03) indicating no difference between PROM feedback and usual care 2334
(8 randomised trials) ⊕⊝⊝⊝
Very low 1, 4 We are very uncertain about the effect of PROM feedback on anxiety.
Clinician severity ratings SMD 0.36
(0.12 to 0.6) favouring PROM feedback vs usual care.  312
(3 randomised trials) ⊕⊝⊝⊝
Very low 1, 4 We are very uncertain about the effect of PROM feedback on clinician severity ratings.
Pharmacological treatment Study population RR 1.21
(0.91 to 1.59) 2528
(10 randomised trials) ⊕⊕⊕⊝
Moderate 3 The evidence suggests that PROM feedback probably makes little or no difference for pharmacological treatment.
 
Pharmacological treatment was assessed using chart review.
 
Two additional studies reported little or no difference between groups, a third study reported that those allocated to the intervention were more Liley to have their pharmacological treatment changed.
195 per 1,000 256 per 1,000
(171 to 365)
Hospital admissions Study population RR 0.96
(0.82 to 1.11) 1681
(4 randomised trials) ⊕⊕⊕⊝
Moderate 1 PROM feedback probably results in little to no difference in hospital admissions.
66 per 1,000 60 per 1,000
(45 to 79)
Visits Visits  
Study population RR 1.09 (0.92 to 1.30) 2777
(8 randomised trials) ⊕⊝⊝⊝
Very low 1, 2, 3 The evidence is very uncertain about the effect of PROM feedback on visits.
502 per 1,000 514 per 1,000
(410 to 619)
ER visits  
Study population RR 0.83
(0.68 to 1.01) 812
(3 randomised trials) ⊕⊕⊕⊝
Moderate 3 PROM feedback may reduce ER visits slightly.
434 per 1,000 359 per 1,000
(293 to 427)
Unscheduled visits  
Study population RR 1.43
(0.55 to 3.74) 333
(2 randomised trials) ⊕⊕⊝⊝
Low 2, 3 PROM feedback likely results in little to no difference in unscheduled visits.
401 per 1,000 551 per 1,000
(194 to 862)
Number of visits  
SMD 0.02
(‐0.17 to 0.21) indicating no difference between PROM feedback and usual care.  2505
(7 randomised trials) ⊕⊝⊝⊝
Very low 2, 4 The evidence is very uncertain about the effect of PROM feedback on number of visits.
Referral Study population RR 2.00
(1.58 to 2.54) 2519
(10 randomised trials) ⊕⊝⊝⊝
Very low 1, 4 The evidence is very uncertain about the effect of PROM feedback on referral.
 
66 per 1,000 148 per 1,000
(113 to 190)
Counselling (provided or referred to) Study population RR 1.61
(1.02 to 2.53) 815
(4 randomised trials) ⊕⊝⊝⊝
Very low 1, 4 The evidence is very uncertain about the effect of PROM feedback on counselling (provided or referred to).
246 per 1,000 396 per 1,000
(251 to 622)
Patient satisfaction SMD 0.12 SD higher
(0.12 lower to 0.36 higher) indicating no difference between PROM feedback and usual care.  2760
(10 randomised trials) ⊕⊝⊝⊝
Very low 3, 4 The evidence is very uncertain about the effect of PROM feedback on patient satisfaction (overall).
Patient perceptions Self efficacy  
SMD ‐0.05
(‐0.21 to 0.32) indicating no difference between PROM feedback and usual care.  349
(2 randomised trials) ⊕⊕⊕⊝
Moderate 2 PROM feedback likely results in little to no difference in self efficacy.
Unmet needs  
SMD ‐0.10
(‐0.22 to 0.02)  indicating no difference between PROM feedback and usual care. 1025
(3 randomised trials) ⊕⊕⊕⊝
Moderate 2 PROM feedback probably results in little to no difference in unmet needs.
Patient‐physician relationship  
SMD 0.12
(‐0.12 to 0.36) indicating no difference between PROM feedback and usual care. 282
(2 randomised trials) ⊕⊕⊝⊝
Low 1, 3 PROM feedback may result in little to no difference in patient‐physician relationship.
Quality of care SMD 1.47
(1.00  to 2.17) favouring PROM feedback vs usual care.  1403
(2 randomised trials) ⊕⊕⊝⊝
Low 1, 2 PROM feedback may increase the quality of care but the evidence is uncertain.
Length of stay SMD 0.18
(‐0.12 to 0.49) indicating no difference between PROM feedback and usual care. 174
(2 randomised trials) ⊕⊕⊝⊝
Low 1, 2 The evidence is very uncertain about the effect of PROM feedback on length of stay
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: Confidence interval; SMD: standardised mean difference; RR: Risk ratio; OR: Odds ratio;
GRADE Working Group grades of evidenceHigh certainty: We are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect

1 We downgraded one point for high risk of unblinding due to nature of intervention for most studies.

2 We downgraded one point for imprecision due to the small number of studies with wide confidence intervals included in meta‐analysis.

3 We downgraded one point for inconsistency due to high heterogeneity.

4 We downgraded two points for inconsistency due to very high heterogeneity.

1. Primary outcomes

1.1 Quality of Life

In total, 16 randomised trials assessed overall quality of life (QoL) using a generic PROM (Aardoom 2016Basch 2016; Calkins 1994; Jha 2013Kendrick 2017LeBlanc 2019Murillo 2017Priebe 2007Richardson 2008Rosenbloom 2007Santana 2010Simons 2015Slade 2006bStrasser 2016van der Hout 2020Wikberg 2017). 

Our meta‐analysis involving 11 studies including 2687 patients revealed a small improvement in QoL for patients receiving the intervention (standardised mean difference (SMD) = 0.15, 95% confidence interval (CI) 0.05 to 0.26; Analysis 1.1). It was not possible to include the studies by Calkins 1994, LeBlanc 2019, Slade 2006b, Strasser 2016 and Wikberg 2017 in the meta‐analysis because of missing information. There was little or no difference between groups in satisfaction with health status at 12 months for Calkins 1994. There were little or no differences between groups in mean follow‐up patient‐rated quality of life for Calkins 1994, LeBlanc 2019Slade 2006b, and Wikberg 2017. For Strasser 2016 the between‐arm difference in global QoL scores was in favour of the intervention arm. We rated the certainty of the evidence as moderate for this analysis, downgrading one point for risk of bias in the included studies.

1.1. Analysis.

1.1

Comparison 1: Quality of Life, Outcome 1: Quality of life (all generic)

1.2 General health perceptions

We conducted a single meta‐analysis containing 552 patients from two randomised trials which had evaluated health perceptions (Mathias 1994Richardson 2008). Our meta‐analysis revealed no effect of the intervention (SMD = 0.04, 95% CI = ‐0.17 to 0.24; Analysis 2.1). We could not include Stuck 2015 in the meta‐analyses because of how the data were reported. Patients in the intervention group of this study reported better health perceptions than those in the control group. We rated the certainty of the evidence as low; downgrading both for risk of bias arising from intervention design and imprecision due to the small number of studies available for analysis.

2.1. Analysis.

2.1

Comparison 2: General health perceptions, Outcome 1: General health perceptions (overall)

1.3 Functioning

In total, 17 studies assessed the impact of the intervention on physical functioning using different measures (Absolom 2021Davis 2013Detmar 2002Girgis 2009Gutteling 2008Kornblith 2006Lugtenberg 2020Mathias 1994Murillo 2017Nimako 2017Richardson 2008Rosenbloom 2007Scheidt 2012Strasser 2016Subramanian 2004van Dijk‐de Vries 2015Wolfe 2014).  Our meta‐analysis of 14 studies included 2788 patients illustrated little or no effect of the intervention (SMD = ‐0.10, 95% CI ‐0.30 to 0.10; Analysis 3.1). We could not include in the meta‐analysis the studies by Absolom 2021 because of the way in which data had been reported, nor for Strasser 2016 or Wolfe 2014 due to missing information. There were little or no difference in physical functioning between intervention and control groups for any of these studies.

3.1. Analysis.

3.1

Comparison 3: Functioning, Outcome 1: Physical functioning

Forty studies evaluated the effect of the intervention on mental functioning (Amble 2014Anker 2009Berking 2006Brody 1990Calkins 1994Davis 2013De Jong 2012Detmar 2002Fann 2017Girgis 2009Gossec 2018Gutteling 2008Hansson 2013Hawkins 2004Jha 2013Kornblith 2006Lambert 2001Lugtenberg 2020Mathias 1994Murillo 2017Murphy 2012Nimako 2017Pouwer 2001Probst 2013Puschner 2009Reese 2009Richardson 2008Rosenbloom 2007Rubenstein 1995Scheidt 2012Schottke 2019Simon 2012Strasser 2016Subramanian 2004Trudeau 2001van der Hout 2020van Dijk‐de Vries 2015Whipple 2003Wikberg 2017Wolfe 2014). Our meta‐analysis of thirty‐four studies, which included 7782 patients demonstrated a small positive benefit of the intervention (SMD = 0.16, 95% CI 0.06 to 0.27; Analysis 3.2). It was not possible to include studies by Calkins 1994, De Jong 2012Strasser 2016Trudeau 2001Wikberg 2017 and Wolfe 2014 in the meta‐analysis because of missing information. In Calkins 1994 the number of patients in the intervention and usual care groups was not specified, and there was little or no difference between groups for De Jong 2012Strasser 2016Trudeau 2001Wikberg 2017, and Wolfe 2014.

3.2. Analysis.

3.2

Comparison 3: Functioning, Outcome 2: Mental functioning

Social functioning was assessed by 16 studies (Bastiaansen 2018Blonigen 2015Calkins 1994Davis 2013Detmar 2002Fann 2017Girgis 2009Kendrick 2017Lugtenberg 2020Mathias 1994Murillo 2017Nimako 2017Richardson 2008Rosenbloom 2007Rubenstein 1995van Dijk‐de Vries 2015). Meta‐analysis of 15 studies (Bastiaansen 2018Blonigen 2015Davis 2013Detmar 2002Fann 2017Girgis 2009Kendrick 2017Lugtenberg 2020Mathias 1994Murillo 2017Nimako 2017Richardson 2008Rosenbloom 2007Rubenstein 1995van Dijk‐de Vries 2015) including a total of 2632 patients revealed no effect of the intervention (SMD = 0.02, 95% CI ‐0.06 to 0.09; Analysis 3.3). It was not possible to include in the meta‐analysis the study by Calkins 1994 because of missing information. There was no difference between intervention and control participants in social function.

3.3. Analysis.

3.3

Comparison 3: Functioning, Outcome 3: Social Functioning

We rated the certainty of the evidence as very low for both the physical functioning and mental functioning meta‐analyses, downgrading the evidence for both risk of bias in the included studies and statistical heterogeneity (I2 = 85% and 80%, respectively). In both cases, the heterogeneity appeared to be driven by the inclusion of Subramanian 2004, a large study with high risk of bias that produced markedly different results to the majority of other studies.  The evidence for social functioning was rated as moderate, with the evidence downgraded due to risk of bias of the included studies on the basis of un‐blinding due to the nature of the intervention.

1.4 Symptoms

We conducted 11 meta‐analyses which assessed the impact of PROM feedback on patient symptoms including pain, fatigue, insomnia, anorexia, nausea, diarrhoea,  constipation, dyspnoea, cough, as well as symptoms of anxiety and depression.

We included nine studies (10 comparisons: Cherkin 2018Detmar 2002Hadjistavropoulos 2009Hoekstra 2006Kazis 1990Lugtenberg 2020Mathias 1994Nimako 2017Richardson 2008) in a meta‐analysis assessing the impact of the intervention on pain. Our analysis included 2386 participants and found little or no improvement in pain scores associated with the intervention (SMD = ‐0.00, 95% CI ‐0.09 to 0.08, Analysis 4.1). It was not possible to include in the meta‐analysis on pain the studies by Kroenke 2018 and Strasser 2016 because of missing information nor Bryant 2020 because of the nature of the categorical nature of the data. For Kroenke 2018, participants allocated to the intervention group had a slight improvement on the PROMIS pain scale (0.07; P > 0.10). There was little or no difference between groups in Strasser 2016 and Bryant 2020.

4.1. Analysis.

4.1

Comparison 4: Symptoms, Outcome 1: Pain

Seven studies evaluated fatigue (Bryant 2020Hoekstra 2006Kroenke 2018Lugtenberg 2020Nimako 2017Strasser 2016Subramanian 2004). Pooled analysis of four studies and 741 participants (Hoekstra 2006Lugtenberg 2020Nimako 2017Subramanian 2004) revealed little or no improvement for participants in the intervention group (SMD = 0.03, 95% CI ‐0.29 to 0.36, Analysis 4.2). It was not possible to include the study by Bryant 2020 because of the categorical nature of the reported data, nor the studies by Kroenke 2018 and Strasser 2016 in the meta‐analysis on fatigue because of missing information. For Kroenke 2018 there was a slight improvement for participants allocated to the intervention and there were little or no differences in Bryant 2020 and Strasser 2016.

4.2. Analysis.

4.2

Comparison 4: Symptoms, Outcome 2: Fatigue

Dyspnoea was assessed in six studies (Hoekstra 2006Lugtenberg 2020Nimako 2017Strasser 2016Subramanian 2004White 1995) and our meta‐analysis of five studies and 765 patients found no effect of the intervention (SMD = ‐0.11, 95% CI ‐0.32 to 0.11; Analysis 4.3). It was not possible to include the study by Strasser 2016 because of missing information (little or no differences reported for this study).

4.3. Analysis.

4.3

Comparison 4: Symptoms, Outcome 3: Dysponea

Cough was assessed in two studies (Hoekstra 2006White 1995) and our meta‐analyses (N = 122) suggested that the intervention had little or no effect on cough (SMD = ‐0.14, 95% CI ‐0.75 to 0.480; Analysis 4.4).

4.4. Analysis.

4.4

Comparison 4: Symptoms, Outcome 4: Cough

Nausea was assessed in three studies (Hoekstra 2006Rosenbloom 2007Strasser 2016). Our meta‐analysis of two studies (239 patients) revealed little or no effect of the intervention (SMD = 0.08, 5% CI ‐0.76 to 0.59; Analysis 4.5). The meta‐analysis did not include the study by Strasser 2016 due to missing information (no differences reported between intervention and control group).

4.5. Analysis.

4.5

Comparison 4: Symptoms, Outcome 5: Nausea

Vomiting was assessed in the study by Hoekstra 2006. The severity scores for vomiting in the control group were lower than those in the intervention group (median 2 compared to median 4, P < 0.05).

Symptoms of depression were evaluated in 16 studies which included 3449 patients (Bastiaansen 2018Boyer 2013Brodey 2005Cherkin 2018Dowrick 1995aFann 2017Hadjistavropoulos 2009Jha 2013Kazis 1990Kendrick 2017Kornblith 2006Lugtenberg 2020Picardi 2016Scheidt 2012Simons 2015Whooley 2000). Our meta‐analysis revealed a small improvement in depression symptoms for patients receiving the intervention (SMD = ‐0.12, 95% CI ‐0.20 to ‐0.05; Analysis 4.6). Anxiety was evaluated in eight studies which included 2334 (Brodey 2005Brody 1990Cherkin 2018Dailey 2002Kazis 1990Kornblith 2006Lugtenberg 2020Mathias 1994). Our meta‐analysis revealed a small improvement in anxiety symptoms (SMD = ‐0.17, 95% CI ‐0.31 to ‐0.03; Analysis 4.7).

4.6. Analysis.

4.6

Comparison 4: Symptoms, Outcome 6: Depressive symptoms

4.7. Analysis.

4.7

Comparison 4: Symptoms, Outcome 7: Anxiety symptoms

We graded the certainty of the evidence as moderate for the pain and depression analyses, downgrading the evidence for risk of bias. The certainty of the evidence for the fatigue, dyspnoea, cough, nausea, and anxiety symptoms was very low with studies being downgraded for risk of bias, inconsistency, and imprecision. The explaination for the heterogeneity was not found. 

1.5 Adverse effects

We did not find studies reporting adverse effects defined as distress following or related to PROM completion. Some studies reported on outcomes associated with the intervention that can be perceived as adverse (e.g. anxiety and depression), however we reported those outcomes in other categories. Three studies studied the impact of the intervention on adverse events related to the usual management of the relevant diseases (Gilliam 2004Murillo 2017Wikberg 2017). Due to differences in the nature and reporting of data it was not possible to conduct a meta‐analysis. In the study by Gilliam 2004, patients in intervention group experienced a significantly higher improvement in a self‐reported adverse events scale than those in the control group. There were no differences between intervention and control groups in number of hypoglycaemic events in the study by Murillo 2017, and no adverse events were reported for any participant in the study by Wikberg 2017. 
 

2. Secondary outcomes

2.1 Communication between patients and clinicians

Communication between patients and health professionals was evaluated in six studies (Davis 2013Detmar 2002Lugtenberg 2020Santana 2010van Os 2003Velikova 2004). Our meta‐analysis of five studies included 658 patients, and demonstrated a moderate improvement in communication associated with the intervention (SMD = 0.36, 95% CI 0.21 to 0.52; Analysis 5.1). It was not possible to include van Os 2003 in the meta‐analysis on communication between patients and physicians because of missing information. In the study patients using the 2‐COM PROM feedback tool rated communication with their doctor as better than patients on ‘standard care’ (2‐COM group mean score 3.4, standard care group mean score 3.2; adjusted = 0.33, P = 0.03). The certainty of the evidence in support of patient‐physician communication was rated as moderate, downgraded for risk of bias. 

5.1. Analysis.

5.1

Comparison 5: Communication, Outcome 1: Patient‐physician communication

2.2 Clinician assessed severity, diagnosis and notation

Three studies evaluated the impact of the intervention of ratings of patient severity as appraised by clinicians (Berking 2006Brody 1990Slade 2006b). We included three studies with a total of 312 patient in our meta‐analysis, which suggested a moderate improvement in severity ratings was associated with the intervention (SMD = 0.36, 95% CI 0.12 to 0.60; Analysis 6.1). We graded the certainty of the evidence as very low for clinician severity ratings due to risk and bias and imprecision. 

6.1. Analysis.

6.1

Comparison 6: Clinician severity ratings, Outcome 1: Clinician severity ratings

Twenty‐one studies assessed the impact of PROM feedback on diagnosis and notation (Brody 1990Callahan 1994Callahan 1996Christensen 2005Dowrick 1995bGerman 1987Gold 1989Hoeper 1984Linn 1980Magruder‐Habib 1990Mazonson 1996Moore 1978Rand 1988Rubenstein 1995Schriger 2001Schriger 2005Shapiro 1987Thomas 2016Williams 1990Yager 1981Zung 1983). Our meta‐analysis included 21 comparisons (N = 7223) and found a medium‐sized effect in favour of the intervention (risk ratio (RR) = 1.73, 95% CI 1.44 to 2.08; Analysis 7.1). We downgraded the evidence for high statistical heterogeneity ( = 67%) as we could find no clear explaination for the heterogeneity. 

7.1. Analysis.

7.1

Comparison 7: Diagnosis, Outcome 1: Diagnosis and notations

2.3 Pharmacological treatment

 Thirteen studies assessed the impact of PROM feedback on pharmacological treatment (Absolom 2021Boyer 2013Brody 1990Callahan 1994German 1987Gilliam 2004Kroenke 2018Mazonson 1996Rubenstein 1995Shapiro 1987Trowbridge 1997van Os 2003Wikberg 2017). Our meta‐analysis of 10 studies and 2528 patients revealed little or no effect of the intervention (RR = 1.21, 95% CI 0.91 to 1.59; Analysis 8.1). It was not possible to include studies by Kroenke 2018Rubenstein 1995 and van Os 2003 in the meta‐analysis on pharmacological treatment because of missing information. For Kroenke 2018 there were little or no difference between feedback and control group patients (P > 0.10) in number of medications. The study by Rubenstein 1995 reported no dispersion data. In the van Os 2003 study patients in the 2‐COM group were more likely to have had their treatment changed, as reported by the doctor, than were those in the standard care group (2‐COM 74%, standard care 61%; adjusted odds ratio (OR) = 2.2, 95%CI 1.02–4.7; number needed to treat for an additional benefit (NNTB) = 8). We graded the quality of evidence as moderate, downgrading once for imprecision due to statistical heterogeneity (I2 = 67%). No explaination for the heterogeneity was found. 

8.1. Analysis.

8.1

Comparison 8: Pharmacological treatment, Outcome 1: Pharmacological treatment

2.4 Counselling

We assessed four studies including 815 patients assessing referral or attendance at counselling (Detmar 2002German 1987Saitz 2003Shapiro 1987). Our meta‐analysis revealed a small effect favouring the intervention (RR = 1.38, 95% CI 1.14 to 1.65; Analysis 9.1), however, we rated the certainty of the evidence as very low; downgrading two points for risk of bias and one point for inconsistency.

9.1. Analysis.

9.1

Comparison 9: Counselling, Outcome 1: Counseling (provided or referred to)

2.5 Referrals

Eleven studies evaluated changes to referral (Brody 1990Callahan 1994Callahan 1996German 1987Gold 1989Kroenke 2018Kuo 2020Magruder‐Habib 1990Mazonson 1996Saitz 2003Shapiro 1987) with a total population of 1938 patients. Our meta‐analysis estimated a moderate increase for PROM feedback on referrals (RR = 2.00, 95% CI 1.58 to 2.54; 10 studies, 2519 participants; Analysis 10.1). It was not possible to include Kroenke 2018 in the meta‐analysis on referrals because of missing information. The study reported little or no difference between feedback and control group patients (P > 0.10) in referrals. We graded the evidence as very low, downgrading twice for both risk of bias and statistical heterogeneity (i² = 56%). The reason for the heterogenity was not clear. 

10.1. Analysis.

10.1

Comparison 10: Referral, Outcome 1: Referral

2.6 Number of visits

We conducted five meta‐analyses to evaluate the ability of the intervention to reduce the number of visits, we evaluated reduction of all visits, visits specifically to the emergency room (ER), and all unscheduled visits.

Eight studies evaluated the impact of the intervention on any visit (Absolom 2021Basch 2016Callahan 1996Cherkin 2018Denis 2017Mazonson 1996Sandheimer 2020Tolstrup 2020). We conducted ameta‐analysis of eight studies (some studies provided multiple estimates) including 2777 patients and found no support for the intervention (RR = 1.09, 95% CI 0.92 to 1.30; Analysis 11.1).

11.1. Analysis.

11.1

Comparison 11: Visits, Outcome 1: Visits

Three studies evaluated the impact of the intervention on ER visits (Basch 2016Callahan 1996Cherkin 2018). Our meta‐analysis with 812 patients did not find support for the intervention on reducing ER visits (RR = 0.83, 95% CI 0.68 to 1.01; Analysis 11.2).

11.2. Analysis.

11.2

Comparison 11: Visits, Outcome 2: Emergency room visits

Two studies evaluated the impact of the intervention on unscheduled visits (Callahan 1996Denis 2017). Our meta‐analysis consisted of 333 patients and did not reveal any support for the intervention (RR = 1.43, 95% CI 0.55 to 3.74; Analysis 11.3).

11.3. Analysis.

11.3

Comparison 11: Visits, Outcome 3: Unscheduled visits

In total, seven studies evaluated the impact of the intervention on the number of visits (Gilliam 2004Kazis 1990Slade 2006bSubramanian 2004Wheelock 2015Whooley 2000Wikberg 2017). Our meta‐analysis included 2505 patients and did not find any support for the intervention (SMD = 0.02, 95% CI ‐0.17 to 0.21; Analysis 11.4).

11.4. Analysis.

11.4

Comparison 11: Visits, Outcome 4: Number of visits

A meta‐analyses of the two studies (262 participants) that assessed the length of visits (Lugtenberg 2020Velikova 2004) revealed little or no difference between intervention and control groups (SMD = 0.21, 95% CI ‐0.28 to 0.71; Analysis 11.5). 

11.5. Analysis.

11.5

Comparison 11: Visits, Outcome 5: Length of visits

Four studies (1681 participants)which assessed the impact of the intervention on number of therapy sessions attended (Amble 2014Callahan 1996Hawkins 2004Whipple 2003); our meta‐analysis found no evidence to support the intervention (SMD = 0.02, 95% CI ‐0.11 to 0.15; Analysis 12.1). 

12.1. Analysis.

12.1

Comparison 12: Sessions, Outcome 1: Number of sessions

We graded the certainty of the evidence in support of reducing ER visits as moderate, downgrading once for risk of bias in the included studies. There was substantial heterogeneity between the two studies which evaluated unscheduled visits in terms of outcome as well as increased uncertainty due to wide confidence intervals, resulting in the certainty of the evidence being low. The analyses which evaluated any reduction of visits, the number of visits, and the length of visits were graded as very uncertain. We rated the certainty of the evidence for number of therapy sessions as very low, downgrading multiple times for risk of bias and once for imprecision.

2.8 Hospital admissions

Five studies measured the impact of the intervention on hospital admissions (Mazonson 1996Slade 2006bBasch 2016Cherkin 2018Absolom 2021). Our meta‐analysis of four studies with a total of 1681 patients revealed no effect of the intervention (RR = 0.96, 95% CI 0.82 to 1.11; moderate‐certainty evidence, Analysis 13.1). It was not possible to include Slade 2006b in the meta‐analysis on hospital admissions because of missing information. The study reported intervention‐group patients had reduced hospital admissions, and with fewer admissions in the six months before follow‐up (mean 0.13 versus 0.33, bootstrapped 95% CI ‐0.46 to ‐0.04). We graded the certainty of the evidence as high.

13.1. Analysis.

13.1

Comparison 13: Hospital admissions, Outcome 1: Hospital admissions (patients)

We included two studies in a single meta‐analysis of the impact of PROM feedback on length of stay (Anker 2009Blonigen 2015). Our meta‐analysis did not reveal support for the intervention (SMD = 0.18, 95% CI ‐0.12 to 0.49; Analysis 14.1). We graded the certainty of the evidence as low, downgrading twice for risk of bias and once for imprecision due to the small number of studies included in the analysis.

14.1. Analysis.

14.1

Comparison 14: Length of stay, Outcome 1: Length of stay

2.9 Patient perceptions

We conducted three meta‐analysis concerning the ability of the intervention to positively alter patient's perceptions of themselves, their needs, their relationship with their physician and their overall satisfaction.

Four studies evaluated the impact of the intervention on self‐efficacy (Cherkin 2018van Dijk‐de Vries 2015Absolom 2021Bastiaansen 2018); our meta‐analysis included 837 patients and did not support the intervention (SMD = ‐0.05, 95% CI ‐0.21 to 0.32; Analysis 15.1). 

15.1. Analysis.

15.1

Comparison 15: Patient perceptions, Outcome 1: Self‐Efficacy

Unmet needs was evaluated by three studies (Priebe 2007Slade 2006bvan der Hout 2020). We included 1025 patients in our meta‐analysis which revealed no support for the intervention (SMD = ‐0.10, 95% CI ‐0.22 to 0.02; Analysis 15.2). It was not possible to include Slade 2006a in the meta‐analysis on unmet needs because of missing information. The study reported no evidence for differences between groups in mean follow‐up patient‐rated unmet need (mean difference 0.15, 95% CI ‐1.20 to 1.49, P = 0.83).

15.2. Analysis.

15.2

Comparison 15: Patient perceptions, Outcome 2: Unmet needs

Two studies evaluated the effect of the intervention on patient‐physician relationship (Rosenbloom 2007Slade 2006b). Our meta‐analysis or 282 patients did not support the intervention (SMD = 0.12, 95% CI ‐0.12 to 0.36; Analysis 15.3).

15.3. Analysis.

15.3

Comparison 15: Patient perceptions, Outcome 3: Patient‐physician relationship

We graded the certainty of the evidence self‐efficacy and unmet needs as moderate, downgrading once for inconsistency due to the small number of studies, and we ranked the evidence of patient‐physician relationship as low risk of bias.

We conducted a meta‐analysis of overall satisfaction (Blonigen 2015Brody 1990Davis 2013Detmar 2002Gossec 2018Kazis 1990Kendrick 2017Priebe 2007Rosenbloom 2007Subramanian 2004). Our meta‐analysis of 2760 patients revealed no support for the intervention (SMD = 0.12, 95% CI ‐0.12 to 0.36; Analysis 16.1). It was not possible to include Ruland 2003 and Williams 1990 in the meta‐analysis on patient satisfaction because of missing information. Both Ruland 2003 and Williams 1990 reported little or no difference in patients satisfaction between intervention and control groups. We rated the certainty of the evidence as very low, downgrading multiple times for imprecision. The exaplaination for heterogenetiy was unclear. 

16.1. Analysis.

16.1

Comparison 16: Patient satisfaction, Outcome 1: Patient satisfaction

2.10 Disease control

We conducted a single meta‐analysis including 14 studies which had evaluated the impact of the intervention on disease control (Anker 2009De Jong 2014Hawkins 2004Murphy 2012Picardi 2016Probst 2013Reese 2009Saitz 2003Simon 2012Subramanian 2004van Dijk‐de Vries 2015Whooley 2000Wikberg 2017Williams 1990). We included 2806 patients in our meta‐analysis for which a small effect in favour of the intervention was observed RR = 1.25, 95% CI 1.10 to 1.41; Analysis 17.1). We were not able to include Murillo 2017 because of the nature of the data reported (no differences between intervention and control groups in disease control as measured by HbA1C).

17.1. Analysis.

17.1

Comparison 17: Disease control, Outcome 1: Disease control

The certainty of the evidence in support of disease control was rated as moderate, with a single downgrade for risk of bias.

2.11 Quality of care

We conducted a single meta‐analysis to evaluate the impact of the intervention on quality of care. Our meta‐analysis of two studies (Rosenbloom 2007Subramanian 2004) and 1403 patients did not reveal an impact of the intervention for the intervention (RR = 1.47, 95% CI 1.00 to 2.17; Analysis 18.1). We graded the certainty of the evidence as low, downgrading twice for risk of bias.

18.1. Analysis.

18.1

Comparison 18: Quality of care, Outcome 1: Quality of care

2.12 Healthcare costs

We included three studies in a single meta‐analysis to evaluate the impact of the intervention on costs (Simons 2015Slade 2006bvan der Hout 2020). Our meta‐analysis with 833 patients did not reveal support for the intervention (SMD = ‐0.12, 95% CI ‐0.34 to 0.09; Analysis 19.1). We graded the certainty of the evidence as low, downgrading twice for risk of bias and once for imprecision due to the small number of studies included in the analysis.

19.1. Analysis.

19.1

Comparison 19: Costs, Outcome 1: Overall costs

3. Other outcomes not reported in the included studies

We included the following outcomes in our protocol, but none of the included studies reported them: patient behaviour, patient empowerment, healthcare professionals awareness of patients' quality of life, and healthcare professionals perceptions.

Sensitivity Analyses

We conducted sensitivity analyses to investigate the impact of studies which were either large, at high overall risk of bias, or both. The majority of the analyses were unchanged however removal of studies with a high risk of bias from the clinicial severity ratings (Berking 2006Slade 2006b) resulted in a single study remaining in the analysis. Additionally, removal of high risk of bias studies from analysis of referral or attendance counselling analysis (Detmar 2002Saitz 2003) suggested no effect of the intervention (RR = 1.10 95% CI 0.70 to 1.75).

Discussion

Summary of main results

In this systematic review, we present a comprehensive compilation of the evidence on the feeding back of information from patient‐reported outcomes measures (PROMs) to inform clinical practice. We identified 116 randomised trials involving 49,785 participants) eligible for inclusion in the review, with an overall low risk of bias, although it was also frequently unclear, particularly for blinding of outcomes assessment, assessment of missing data, contamination, and adequate prevention of allocation knowledge.

There was considerable variation in participants, settings, interventions, and measures used to quantify outcomes. Studies evaluated the impact of feeding back information on a wide variety of condition‐specific and also generic PROMs in ambulatory primary care and specialised and in inpatient settings across a wide range of outcomes most frequently including other PROMs as well as health service processes. Given this variation, a meta‐analysis could be done only on a substantially reduced number of studies.

The most profound improvements were generally seen in processes of care, with PROM feedback leading to moderate improvements in diagnosis and notation (patients in the intervention arm almost twice more likely to receive a relevant diagnose or have a relevant notation in their medical records), based on both a large number of studies and a very large number of randomised participants. Moderate improvements were also apparent in patient's perceptions of communication with their providers, although the number of studies and randomised patients, although substantial, was relatively smaller. PROM feedback was associated with small improvements in both disease control and patient quality of life. There were little or no effects for general health perceptions, social functioning and pain, and we are uncertain of the effect of the intervention on physical and mental functioning and fatigue. No studies reported on adverse effects of the intervention, defined as distress as a result of completing the PROM.

These heterogeneous results provide partial support for a cascade of effects whereby PROMs feedback would be linked to changes in process of care (diagnosis, treatment, and quality of care and use of health services), which would then result in improvements in outcomes (symptoms, functioning, and quality of life). Such a cascade would anticipate decreasing effect sizes alongside the proximal‐distal continuum of effects of the intervention. Our findings confirm the largest impact for processes of care that are typically the results of decisions made by the physicians who would have received the information, and smaller effects for other variables. There is also consistency in a positive small impact across a number of health outcomes (mental symptoms and functioning and overall quality of life). We failed, however, to detect many positive impacts for many of the intermediate variables in the cascade of effects (treatments, use of health services, patient self‐efficacy).

Given the importance of developing identifying the best ways in which the routine measurement and feedback of PROMs could be implemented in clinical practice, our review demonstrates that the majority of interventions in included studies had multiple components incorporating different elements, making direct and accurate comparison of intervention effects difficult. In addition, many of the studies utilised different measures of the same construct.

Overall completeness and applicability of evidence

Most of the outcomes that were deemed relevant in our protocol were not reported in the majority of studies. The largest meta‐analysis (mental function) included less than a third or all studies. However, the large number different outcomes analysed allowed for the first comprehensive picture of the impact of the intervention and of the potential cascade of effects, from more proximal (a physician's impression of the severity of symptoms) to the more distal (quality of life). A limitation of the studies reviewed is the absence of any study using any techniques which could tailor the information provided within the questionnaire to the individual patient, such as individualised questionnaires or computerised adaptive testing.

This review has identified many more studies than previous reviews conducted by some co‐authors (Espallargues 2000Valderas 2008a) and others (Kendrick 2016). Many of these additional studies are relatively recent reflecting the fact that this is an area of increasing interest, both reinforcing the need for this review and suggesting that this evaluation may benefit from being updated in near future.

The included studies do not provide evidence that the proposed interventions would reduce inequalities. All studies were conducted in high‐income countries, which makes inference on the generalisability of the observed effects of the interventions to lower‐/middle‐ income countries tentative. Studies did not take special measures to ensure the inclusion of disadvantaged populations, nor were attrition, adherence or results disaggregated by key characteristics relevant to the understanding of inequalities (socioeconomic status, ethnicity).

Quality of the evidence

All the included studies were randomised trials. Overall, they were of mixed quality with low proportion of studies with high risk of bias (except for risk of allocation concealment and contamination, which exceeded 25%), and a high proportion of studies unclear risk of bias (the most frequent category for sequence generation, attrition and reporting bias, contamination and prevention of knowledge of allocated interventions). Twenty‐eight of the included studies used a cluster design to reduce the risk of contamination. Low risk of bias could be established for over 50% of studies for only three out of 10 domains and as many as 16 studies met criteria for being at overall high risk of bias. Although none of these studies at high risk bias was included in the analyses because they did not consider the relevant outcomes, the quality of the included studies seriously limits our ability to evaluate the impact of feedback based on the available evidence.

Potential biases in the review process

The review was carried out in accordance with EPOC guidelines and using the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). Potential limitations in the search process relate to the lack of MeSH term for either patient‐reported outcomes (PROs) or PROMs. This meant that we had to use broad search terms which led to a high yield of citations to be searched. The review authors are active researchers in the field of PROMs, many have contributed to a previous review and are unaware of any potentially eligible studies that were missed by the search. We were also unable to retrieve some missing data from authors.

Agreements and disagreements with other studies or reviews

This review substantially expands the scope and comprehensiveness of any previous reviews. Taking this into consideration, our results are broadly in agreement with the literature. A previous review conducted by co‐authors of this review (Valderas 2008a), which identified a great heterogeneity of impact and concluded that contexts and interventions that could yield important benefits remained to be clearly defined. Our results are also in agreement with a Cochrane Review on the use of PROMs feedback for common mental health disorders (Kendrick 2017), whose authors found insufficient evidence to support the use of routine outcome monitoring using PROMs in the treatment of common mental health disorders, in terms of improving patient outcomes or in improving management. They considered their findings subject to considerable uncertainty however, due to the high risk of bias in the large majority of trials meeting the inclusion criteria, which means further research is very likely to have an important impact on the estimate of effect and is likely to change the estimate. Both reviews highlighted the need for more research of better quality, particularly addressing issues of attrition and blinding, especially given the complex nature of the intervention. 

Authors' conclusions

Implications for practice.

Patient‐reported outcomes measures (PROMs) feedback probably produces small to moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and small improvements in quality of life. Limitations brought about by study design and heterogeneity of outcomes limited the quality of the results.

Despite the mixed certainty of the evidence, due mainly to issues with blinding and concealment which are difficult to overcome in trials of complex interventions that include feedback elements, the data suggest that routine use of PROM feedback in clinical practice could thus improve the quality of health care.

PROMs data can also inform clinical practice at a broader level by facilitating comparative effectiveness between different treatments, and supporting value‐based healthcare, and quality improvement initiatives and may have considerable value beyond their usefulness solely as a clinical tool. PROMs interventions do generate data which can be used not only at the individual patient level but also be aggregated and used to conduct comparative effectiveness research to inform continuous quality improvement.

When considering using PROMs in clinical practice, policymakers and clinicians should take opportunity costs into account in this context.

Implications for research.

Large cluster‐randomised trials are needed that evaluate the impact of feedback in different clinical contexts in which both clinicians and their patients are provided with sufficient training on the interpretation of PROM scores and tailored feedback on those scores. Such trials would also benefit from allowing sufficient time to both clinicians and patients to familiarise themselves with the administration methods, the scoring system and their interpretation, as to give a proper chance to the intervention to be fully integrated into the clinical context. Further work is required to assess the cost‐effectiveness of PROMs feedback interventions. In addition, collection and feedback may be best evaluated using the usual information systems available in the standard setting, rather than bespoke systems, wherever feasible. The widespread occurrence of electronic health records in many care settings now permits PROMs feedback interventions to be assessed within an infrastructure which is becoming more familiar to providers and is increasingly a standard component of care at many institutions, particularly as part of value based health care delivery. There are therefore new opportunities to design and implement interventions which may be more effective at translating increased detection of healthcare issues into tangible improvements in patient‐reported outcomes.

Further research on the mechanisms by which this complex intervention operates is needed as well as research on specific clinical applications and circumstances in which PROMs feedback can provide added value. In particular  a paucity of research in supporting the management of people with multimorbidity was found.  

The current review contains studies which span more than 30 years. During this period, the rise in popularity of personal computers and, more recently, smart devices and integrated systems such as electronic health records have fundamentally changed the way in which information is collected, scored, and displayed to doctors and patients. Studies included in the review typically do not provide rich details about how users interfaced with the interventions, which may have important effects on their usability, perceived usefulness and, resultantly, the probability that their use will successfully improve processes and outcomes of care. Though some notable studies have already been published in this area (Bantug 2016Brundage 2015), further research is warranted to define standards for user interfaces in PROM assessment and feedback applications.

In the future, comparability of PROMs feedback interventions could be improved if an international consensus could be reached on which measures were most suitable for different constructs or if metrics were widely available to cross‐link different measures of the same construct. Of course, the type of PROM used is one part of a complex intervention. Other such initiatives could similarly be used to standardise the feedback gained from PROMS in terms of format and timing as well as structure the process by which salient information from PROMs are used to improve the processes and outcomes of care. 

History

Protocol first published: Issue 4, 2015

Acknowledgements

The authors would like to thank the editorial support from the Cochrane Effective Practice and Organisation of Care (EPOC) Group, including Chris Cooper (managing editor), Paul Miller (information specialist), Michel Wensing/Luciana Balini (contact editors), Simon Lewin(internal editor), and Andrew Hutchings (statistical editor). The authors are also grateful to Michelle Peters and Kurt Kroenke (peer referees) for providing insightful commentaries on drafts of the review. The authors are also grateful to contributors to the protocol for this review, in particular Bobrovitz NJH, Fitzpatrick R, Rajmil L, Roberts NW, and Taylor RS.

This work was partly funded by Clinician Scientist Award NIHR/CS/010/024. National Institute for Health Research,UK. Improving the management of long term conditions with the clinical use of patient reported outcome measures in Primary Care UK. Period: 01/3/2011‐01/3/2016

We are also thankful to the National Institute for Health Research, via Cochrane Infrastructure funding to the Effective Practice and Organisation of Care Group. The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the Systematic Reviews Programme, NIHR, NHS or the Department of Health.

Appendices

Appendix 1. Search strategies

MEDLINE

No. Search terms Results
1 patient reported outcome measures/ 6425
2 ((quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL) adj5 (tool? or questionnaire? or scale? or instrument? or index or indices or measure? or profile? or assess*)).ti,ab. 90539
3 self administ*.ti,ab. 45512
4 ((patient? or self) adj2 (report* or apprais* or rate* or rating* or response* or evaluat*)).ti,ab. 537609
5 ((patient? or adult?) adj5 complet*).ti,ab. 178035
6 self‐assess*.ti,ab. 16003
7 patient questionnaire?.ti,ab. 2312
8 ((function* or health) adj2 status adj2 report*).ti,ab. 2763
9 (screen* adj2 (tool? or questionnaire? or instrument?)).ti,ab. 35539
10 or/1‐9 837800
11 ((physician? or doctor? or nurse? or dentist? or practitioner? or clinician? or team? or anesthetist? or cardiologist? or dentist? or dermatologist? or gastroenterologist? or gp? or geriatrician? or gerontologist? or gynaecologist? or gynecologist? or hematologist? or haematologist? or intensivist? or neurologist? or obstetrician? or oncologist? or paediatrician? or pediatrician? or psychiatrist? or radiologist? or rheumatologist? or surgeon? or urologist?) adj5 (notif* or inform* or disclos* or report* or provid* or result* or recei* or summar* or availab*)).ti,ab. 238678
12 feedback/ 29891
13 (feedback or feed back or fed back).ti,ab. 143160
14 or/11‐13 388946
15 ((routine* or regular*) adj2 (quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL)).ti,ab. 309
16 (14 and 10) or 15 37618
17 exp randomized controlled trial/ 515015
18 controlled clinical trial.pt. 93863
19 randomi#ed.ti,ab. 644220
20 placebo.ab. 213528
21 randomly.ti,ab. 348255
22 Clinical Trials as topic.sh. 193083
23 trial.ti. 227648
24 exp animals/ not humans/ 4738847
25 or/17‐23 1374896
26 25 not 24 1269096
27 16 and 26 5786

 

Embase

No. Search terms Results
1 patient‐reported outcome/ 24762
2 ((quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL) adj5 (tool? or questionnaire? or scale? or instrument? or index or indices or measure? or profile? or assess*)).ti,ab. 143294
3 self administ*.ti,ab. 59000
4 ((patient? or self) adj2 (report* or apprais* or rate* or rating* or response* or evaluat*)).ti,ab. 804303
5 ((patient? or adult?) adj5 complet*).ti,ab. 292954
6 self‐assess*.ti,ab. 22600
7 patient questionnaire?.ti,ab. 3820
8 ((function* or health) adj2 status adj2 report*).ti,ab. 3617
9 (screen* adj2 (tool? or questionnaire? or instrument?)).ti,ab. 53444
10 or/1‐9 1265437
11 ((physician? or doctor? or nurse? or dentist? or practitioner? or clinician? or team? or anesthetist? or cardiologist? or dentist? or dermatologist? or gastroenterologist? or gp? or geriatrician? or gerontologist? or gynaecologist? or gynecologist? or hematologist? or haematologist? or intensivist? or neurologist? or obstetrician? or oncologist? or paediatrician? or pediatrician? or psychiatrist? or radiologist? or rheumatologist? or surgeon? or urologist?) adj5 (notif* or inform* or disclos* or report* or provid* or result* or recei* or summar* or availab*)).ti,ab. 349639
12 (feedback or feed back or fed back).ti,ab. 183192
13 *feedback system/ 14588
14 or/11‐13 526104
15 ((routine* or regular*) adj2 (quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL)).ti,ab. 508
16 (14 and 10) or 15 63642
17 random*.ti,ab. 1580844
18 factorial*.ti,ab. 39074
19 (crossover* or cross over*).ti,ab. 108687
20 ((doubl* or singl*) adj blind*).ti,ab. 236559
21 (assign* or allocat* or volunteer* or placebo*).ti,ab. 1060144
22 crossover procedure/ 64535
23 single blind procedure/ 40363
24 randomized controlled trial/ 622762
25 double blind procedure/ 176401
26 or/17‐25 2387512
27 exp animal/ not human/ 4831880
28 26 not 27 2150229
29 16 and 28 11821

 

CENTRAL (Cochrane Library) 

No. Search terms Results
#1 [mh "patient reported outcome measures"] 575
#2 (("quality of life" or wellbeing or well‐being or QoL or HRQoL or HRQL) near/5 (tool* or questionnaire* or scale* or instrument* or index or indices or measure* or profile* or assess*)):ti,ab 42929
#3 self next administ*:ti,ab 6070
#4 ((patient* or self) near/2 (report* or apprais* or rate* or rating* or response* or evaluat*)):ti,ab 98275
#5 ((patient* or adult*) near/5 complet*):ti,ab 47638
#6 self next assess*:ti,ab 3428
#7 patient next questionnaire*:ti,ab 749
#8 ((function* or health) near/2 status near/2 report*):ti,ab 374
#9 (screen* near/2 (tool* or questionnaire* or instrument*)):ti,ab 2763
#10 {OR #1‐#9} 178772
#11 ((physician* or doctor* or nurse* or dentist* or practitioner* or clinician* or team* or anesthetist* or cardiologist* or dentist* or dermatologist* or gastroenterologist* or gp* or geriatrician* or gerontologist* or gynaecologist* or gynecologist* or hematologist* or haematologist* or intensivist* or neurologist* or obstetrician* or oncologist* or paediatrician* or pediatrician* or psychiatrist* or radiologist* or rheumatologist* or surgeon* or urologist*) near/5 (notif* or inform* or disclos* or report* or provid* or result* or recei* or summar* or availab*)):ti,ab 26466
#12 (feedback or feed back or "fed back"):ti,ab,kw 17072
#13 {or #11‐#12} 41898
#14 ((routine* or regular*) near/2 ("quality of life" or wellbeing or well‐being or QoL or HRQoL or HRQL)):ti,ab 101
#15 (#10 and #13) or #14 10244

 

CINAHL (EBSCO)

No. Search terms Results
S1 (quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL) N5 (tool? or questionnaire? or scale? or instrument? or index or indices or measure? or profile? or assess*) 68,582
S2 self administ* 20,543
S3 (patient? or self) N2 (report* or apprais* or rate* or rating* or response* or evaluat*) 295,502
S4 (patient? or adult?) N5 complet*) 51,068
S5 self‐assess* 15,184
S6 patient questionnaire? 20,684
S7 (function* or health) N2 status N2 report*) 1,910
S8 (screen* N2 (tool? or questionnaire? or instrument?) 15,594
S9 S1 OR S2 OR S3 OR S4 OR S5 OR S6 OR S7 OR S8 430,899
S10 (physician? or doctor? or nurse? or dentist? or practitioner? or clinician? or team? or anesthetist? or cardiologist? or dentist? or dermatologist? or gastroenterologist? or gp? or geriatrician? or gerontologist? or gynaecologist? or gynecologist? or hematologist? or haematologist? or intensivist? or neurologist? or obstetrician? or oncologist? or paediatrician? or pediatrician? or psychiatrist? or radiologist? or rheumatologist? or surgeon? or urologist?) N5 (notif* or inform* or disclos* or report* or provid* or result* or recei* or summar* or availab*) 142,257
S11 MH "Feedback" 15,059
S12 (feedback or feed back or fed back) 42,673
S13 S10 OR S11 OR S12 181,234
S14 (routine* or regular*) N2 (quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL) 528
S15 (MH "clinical trials+") 305,113
S16 pt clinical trial 106,213
S17 (clin* n25 trial*) 278,842
S18 (singl* n25 blind*) or (doubl* n25 blind*) or (trebl* n25 blind*) or (tripl* n25 blind*) 78,095
S19 (singl* n25 mask*) or (doubl* n25 mask*) or (trebl* n25 mask*) or (tripl* n25 mask*) 1,289
S20 random* or placebo* 437,377
S21 (MH "random assignment") 63,755
S22 (MH "placebos") 12,558
S23 (MH "quantitative studies") 27,864
S24 control* or prospective* or volunteer* 1,702,170
S25 S15 OR S16 OR S17 OR S18 OR S19 OR S20 OR S21 OR S22 OR S23 OR S24 1,943,917
S26 (MH "Patient‐Reported Outcomes") 2,654
S27 S9 OR S26 430,899
S28 S13 AND S27 29,365
S29 S28 or S14 29,864
S30 S25 AND S29 13,337

 

PsycINFO

No. Search terms Results
1 ((quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL) adj5 (tool? or questionnaire? or scale? or instrument? or index or indices or measure? or profile? or assess*)).ti,ab. 31270
2 self administ*.ti,ab. 18536
3 ((patient? or self) adj2 (report* or apprais* or rate* or rating* or response* or evaluat*)).ti,ab. 191385
4 ((patient? or adult?) adj5 complet*).ti,ab. 23761
5 self‐assess*.ti,ab. 8452
6 patient questionnaire?.ti,ab. 251
7 ((function* or health) adj2 status adj2 report*).ti,ab. 1014
8 (screen* adj2 (tool? or questionnaire? or instrument?)).ti,ab. 12619
9 or/1‐8 267663
10 ((physician? or doctor? or nurse? or dentist? or practitioner? or clinician? or team? or anesthetist? or cardiologist? or dentist? or dermatologist? or gastroenterologist? or gp? or geriatrician? or gerontologist? or gynaecologist? or gynecologist? or hematologist? or haematologist? or intensivist? or neurologist? or obstetrician? or oncologist? or paediatrician? or pediatrician? or psychiatrist? or radiologist? or rheumatologist? or surgeon? or urologist?) adj5 (notif* or inform* or disclos* or report* or provid* or result* or recei* or summar* or availab*)).ti,ab. 67442
11 (feedback or feed back or fed back).ti,ab. 67050
12 feedback/ or "knowledge of results"/ 18724
13 or/10‐12 134676
14 ((routine* or regular*) adj2 (quality of life or wellbeing or well‐being or QoL or HRQoL or HRQL)).ti,ab. 94
15 (13 and 9) or 14 13856
16 exp clinical trial/ 12439
17 random*.ti,ab. 203832
18 ((clinical or control*) adj3 trial*).ti,ab. 76256
19 ((singl* or doubl* or trebl* or tripl*) adj5 (blind* or mask*)).ti,ab. 26736
20 (volunteer* or control group or controls).ti,ab. 250010
21 placebo/ or placebo*.ti,ab. 40810
22 or/16‐21 465835
23 15 and 22 2700

 

ClinicalTrials.gov

Interventional Studies | "patient reported outcome" OR "patient reported outcomes" OR "functional status" [INTERVENTION TERMS]

Interventional Studies | routine AND ("quality of life" OR well‐being OR wellbeing OR QoL OR HRQL OR HRQoL)

 

WHO ICTRP

patient reported OR functional status [intervention terms]

Data and analyses

Comparison 1. Quality of Life.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1.1 Quality of life (all generic) 11 2687 Std. Mean Difference (IV, Random, 95% CI) 0.15 [0.05, 0.26]

Comparison 2. General health perceptions.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
2.1 General health perceptions (overall) 2 552 Std. Mean Difference (IV, Random, 95% CI) 0.04 [‐0.17, 0.24]

Comparison 3. Functioning.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
3.1 Physical functioning 14 2788 Std. Mean Difference (IV, Random, 95% CI) ‐0.10 [‐0.30, 0.10]
3.2 Mental functioning 34 7782 Std. Mean Difference (IV, Random, 95% CI) 0.16 [0.06, 0.27]
3.3 Social Functioning 15 2632 Std. Mean Difference (IV, Random, 95% CI) 0.02 [‐0.06, 0.09]

Comparison 4. Symptoms.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
4.1 Pain 9 2386 Std. Mean Difference (IV, Random, 95% CI) ‐0.00 [‐0.09, 0.08]
4.2 Fatigue 4 741 Std. Mean Difference (IV, Random, 95% CI) 0.03 [‐0.29, 0.36]
4.3 Dysponea 5 765 Std. Mean Difference (IV, Random, 95% CI) ‐0.11 [‐0.32, 0.11]
4.4 Cough 2 122 Std. Mean Difference (IV, Random, 95% CI) ‐0.14 [‐0.75, 0.48]
4.5 Nausea 2 239 Std. Mean Difference (IV, Random, 95% CI) ‐0.08 [‐0.76, 0.59]
4.6 Depressive symptoms 16 3449 Std. Mean Difference (IV, Random, 95% CI) ‐0.12 [‐0.19, ‐0.05]
4.7 Anxiety symptoms 8 2334 Std. Mean Difference (IV, Random, 95% CI) ‐0.17 [‐0.31, ‐0.03]
4.8 Insomnia 2 202 Mean Difference (IV, Random, 95% CI) ‐3.10 [‐14.77, 8.57]
4.9 Anorexia 2 202 Std. Mean Difference (IV, Random, 95% CI) ‐0.09 [‐0.37, 0.19]
4.10 Constipation 2 202 Std. Mean Difference (IV, Random, 95% CI) 0.14 [‐0.14, 0.42]
4.11 Diarrhoea 2 202 Std. Mean Difference (IV, Random, 95% CI) ‐0.05 [‐0.33, 0.22]

4.8. Analysis.

4.8

Comparison 4: Symptoms, Outcome 8: Insomnia

4.9. Analysis.

4.9

Comparison 4: Symptoms, Outcome 9: Anorexia

4.10. Analysis.

4.10

Comparison 4: Symptoms, Outcome 10: Constipation

4.11. Analysis.

4.11

Comparison 4: Symptoms, Outcome 11: Diarrhoea

Comparison 5. Communication.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
5.1 Patient‐physician communication 5 658 Std. Mean Difference (IV, Random, 95% CI) 0.36 [0.21, 0.52]

Comparison 6. Clinician severity ratings.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
6.1 Clinician severity ratings 3 312 Std. Mean Difference (IV, Random, 95% CI) 0.36 [0.12, 0.60]

Comparison 7. Diagnosis.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
7.1 Diagnosis and notations 21 7223 Risk Ratio (M‐H, Random, 95% CI) 1.73 [1.44, 2.08]

Comparison 8. Pharmacological treatment.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
8.1 Pharmacological treatment 10 2528 Risk Ratio (M‐H, Random, 95% CI) 1.21 [0.91, 1.59]

Comparison 9. Counselling.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
9.1 Counseling (provided or referred to) 4 815 Risk Ratio (M‐H, Random, 95% CI) 1.38 [1.14, 1.65]

Comparison 10. Referral.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
10.1 Referral 10 2519 Risk Ratio (M‐H, Fixed, 95% CI) 2.00 [1.58, 2.54]

Comparison 11. Visits.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
11.1 Visits 8 2777 Risk Ratio (M‐H, Random, 95% CI) 1.09 [0.92, 1.30]
11.2 Emergency room visits 3 812 Risk Ratio (M‐H, Random, 95% CI) 0.83 [0.68, 1.01]
11.3 Unscheduled visits 2 333 Risk Ratio (M‐H, Random, 95% CI) 1.43 [0.55, 3.74]
11.4 Number of visits 7 2505 Std. Mean Difference (IV, Random, 95% CI) 0.02 [‐0.17, 0.21]
11.5 Length of visits 2 262 Std. Mean Difference (IV, Random, 95% CI) 0.21 [‐0.28, 0.71]

Comparison 12. Sessions.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
12.1 Number of sessions 4 1593 Std. Mean Difference (IV, Random, 95% CI) 0.02 [‐0.11, 0.15]

Comparison 13. Hospital admissions.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
13.1 Hospital admissions (patients) 4 1681 Risk Ratio (M‐H, Random, 95% CI) 0.96 [0.82, 1.11]

Comparison 14. Length of stay.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
14.1 Length of stay 2 174 Std. Mean Difference (IV, Random, 95% CI) 0.18 [‐0.12, 0.49]

Comparison 15. Patient perceptions.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
15.1 Self‐Efficacy 4 837 Std. Mean Difference (IV, Random, 95% CI) 0.05 [‐0.21, 0.32]
15.2 Unmet needs 3 1025 Std. Mean Difference (IV, Random, 95% CI) ‐0.10 [‐0.22, 0.02]
15.3 Patient‐physician relationship 2 282 Std. Mean Difference (IV, Random, 95% CI) 0.12 [‐0.12, 0.36]

Comparison 16. Patient satisfaction.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
16.1 Patient satisfaction 10 2760 Std. Mean Difference (IV, Random, 95% CI) 0.12 [‐0.12, 0.36]

Comparison 17. Disease control.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
17.1 Disease control 14 2806 Risk Ratio (M‐H, Random, 95% CI) 1.25 [1.10, 1.41]

Comparison 18. Quality of care.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
18.1 Quality of care 2 1403 Risk Ratio (M‐H, Random, 95% CI) 1.47 [1.00, 2.17]

Comparison 19. Costs.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
19.1 Overall costs 3 833 Std. Mean Difference (IV, Random, 95% CI) ‐0.12 [‐0.34, 0.09]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Absolom 2021.

Study characteristics
Methods Randomised trial, UK. 
Participants 508 patients with colorectal, breast, or gynaecological cancer treated with curative intent. Median age 56 (18‐79) years, 79.9% female.  
Interventions Patients who were commencing chemotherapy were randomly assigned to usual care (UC) or usual care with the addition of eRAPID (weekly online symptom reporting for 18 weeks).
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: FACT‐General, FACT‐PWB, EQ‐5D‐VAS, European Organisation for Research and Treatment of Cancer (EORTC QLQ‐C30)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Realtime feedback over 18 weeks (at least weekly plus when having symptoms)
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Management recommendations
Outcomes Real‐time monitoring with electronic patient‐reported outcomes improved physical well‐being (6 and 12 weeks) and self‐efficacy (18 weeks) in a patient population predominantly treated with curative intent,
without increasing hospital workload.
Notes Funded by the National Institute for Health Research (UK). The study ran from 29/09/2014 until 23/10/2018. The following conflicts of interest were declared.
Julia Brown
Research Funding: Roche
Other Relationship: NIHR
Galina Velikova
Honoraria: Eisai, Novartis, Pfizer, Roche UK
Consulting or Advisory Role: Roche UK, Eisai, Novartis
Speakers' Bureau: Novartis
Research Funding: Pfizer
Travel, Accommodations, Expenses: Roche UK, Novartis, Eisai
Other Relationship: University of Leeds
No other potential conflicts of interest were reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Random assignment of clinicians not possible.
Allocation concealment (selection bias) Unclear risk Not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Patient and provider aware of group allocation. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk All measurements the same. 
Baseline characteristics similar Low risk Characteristics similar (no statistical test performed). 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported. 
Was study protected against contamination High risk Single‐site study. 
Selective reporting (reporting bias) Low risk No evidence of selective reporting

Amble 2014.

Study characteristics
Methods Multisite randomised trial, Norway
Participants 377 adult patients with moderate to severe dysfunction in and outpatient in Norwegian naturalistic psychiatric setting. mean age 35.8 years (SD: 11.66, Range: 18‐65), 68% female
Interventions All patients were asked to online fill out the OQ‐45 prior to each session. Both patients and physicians in the intervention arm received feedback about their OQ‐45 outcome.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: The Outcome Questionnaire‐45.2
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific
 
Administration features
Where PROMs administered: Unclear
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Before each session with therapist
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Interpretation guidance
Outcomes Main outcomes: number of sessions; proportion of signal cases
Other outcomes: recovery rate (OQ‐45 score)
Notes Funding information not stated. The study ran from June 2010 until September 2013. No conflicts of interest were reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Patients randomised in blocks of 8 and by gender
Allocation concealment (selection bias) High risk Patients notified of their status.
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (crossed design; study looking at feedback).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 2 provided similar outcome measurements for the first scores
Baseline characteristics similar High risk Table 1 provided the characteristics across the clinics and there were big differences between the number of feedback sessions, gender breakdown and other characteristics
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There was no discussion on missing data.
Was study protected against contamination High risk No blinding.
Selective reporting (reporting bias) Low risk None apparent.

Anderson 2015.

Study characteristics
Methods Randomised trial, USA
Participants 60 low‐income African American and Latina women with breast cancer and cancer‐related pain recruited in the outpatient medical oncology clinic of a large public hospital in Houston, Texas, that treats underserved patients.
Interventions Pilot study of an automated, telephone‐based, interactive voice response (IVR) intervention. Women in the intervention group were called twice weekly by the IVR system and asked to rate the intensity of their pain and other symptoms.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: MD Anderson Symptom Inventory (MDASI), The Barriers Questionnaire II (BQ‐II), The Eastern Cooperative Oncology Group performance status scale, Pain management index
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Patients called 2 times a week for 8 weeks. Clinicians provided IVR symptom ratings before clinics.
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcomes: severity of cancer‐related symptoms; patient beliefs that are barriers to optimal pain treatment
Notes Supported by American Cancer Society Grant RSGT‐05‐219‐01‐ CPPB and in part by the National Institutes of Health/National Cancer Institute through The University of Texas MD Anderson Cancer Center’s Support Grant P30 CA016672. The trial period is not reported. Reported conflicts of interest state: Dr. Cleeland has a patent for the MD Anderson Symptom Inventory
(MDASI), which is licensed to The University of Texas MD Anderson Cancer Center and Charles Cleeland; he is a consultant
to Astra Zeneca, Abbott, Genentech, Amgen, Bristol‐Myers Squibb, Pfizer, Estellas, Bayer, Acetylon, Johnson & Johnson, and
Novartis.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Participants were randomly assigned by an electronic protocol management system ‐ although it did not specify who ran this.
Allocation concealment (selection bias) Unclear risk Electronic protocol management system conducted the allocation ‐ but unclear who administered this.
Blinding of participants and personnel (performance bias)
All outcomes High risk Research staff knew which patients were in the intervention group ‐ but it was unclear whether patients knew. Physicians also knew the patients in the intervention group.
Blinding of outcome assessment (detection bias)
All outcomes High risk No mention of blinding outcomes.
Baseline outcome measurements similar High risk No comparisons were made at baseline between intervention and control groups.
Baseline characteristics similar Low risk No differences between characteristics of intervention and control groups.
Incomplete outcome data (attrition bias)
All outcomes High risk No discussion in the analysis section on how missing data were handled. High attrition rate for outcome assessment completion for intervention group (> 80%) and lower for control (< 70%).
Was study protected against contamination Low risk Controls did not have access to the IVR system.
Selective reporting (reporting bias) Low risk All outcome measurements mentioned in methods section was reported in results.

Anker 2009.

Study characteristics
Methods Randomised trial, Norway
Participants 906 adults (453 couples) who sought outpatient couple therapy services at a family counselling agency providing free government‐subsidised services in southern Norway
Interventions Investigated the effects of providing treatment progress and alliance information to both clients and therapists during couple therapy. Outpatients at a community family counselling clinic were randomly assigned to 1 of 2 groups: treatment as usual (TAU) or feedback.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: The Outcomes Rating Scale (ORS); The Locke‐Wallace (LW) Marital Adjustment Test 
Constructs measured: Functioning
Instrument categories/domains: Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Each session
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: psychological functioning and distress
Notes Funding information not reported. The study ran from October 2005 to December 2007. No conflicts of interest are reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Participants were randomised to one of two groups following phone intake. Intake forms were shuffled, and then a coin flip determined assignment to the feedback vs. TAU groups
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk Only clients were not informed about the different conditions of feedback and TAU but not possible to blind therapists due to the nature of the intervention.
Blinding of outcome assessment (detection bias)
All outcomes High risk The PROM used for feedback was also used for outcome assessment.
Baseline outcome measurements similar Low risk Imbalanced but appropriate adjusted analysis was performed.
Baseline characteristics similar Unclear risk Not clear in the text and no table was provided.
Incomplete outcome data (attrition bias)
All outcomes High risk A total of 245 (59.8%) out of 410 individuals, representing 149 couples, responded to 6‐month follow‐up.
Was study protected against contamination High risk Therapists was aware that the couples were participants in the study.
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section.

Atreja 2018.

Study characteristics
Methods Randomised trial, USA. 
Participants 320 patients with irritable bowel syndrome. 47% female. 
Interventions Intervention patients update their information and receive a disease summary of quality of care metrics and IBD‐specific quality of life trends.
 
Atreja 2018
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: HealthPROMISE app measuring quality of care and quality of life
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (IBD)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Whenever HealthPROMISE patients updated their information 
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Primary outcome was change in quality of care. Secondary outcomes were disparities in IBD‐related emergency room visits and hospitalisations, change in quality of life score from baseline, and proportion of patients reporting controlled disease status.
Notes Funding information not provided. The study period is not reported. Conflicts of interest are not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Abstract only. 
Allocation concealment (selection bias) Unclear risk Abstract only. 
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Abstract only. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Abstract only. 
Baseline outcome measurements similar Unclear risk Abstract only. 
Baseline characteristics similar Unclear risk Abstract only. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Abstract only. 
Was study protected against contamination Unclear risk Abstract only. 
Selective reporting (reporting bias) Unclear risk Abstract only. 

Basch 2016.

Study characteristics
Methods Randomised trial, USA
Participants 766 patients initiating chemotherapy at Memorial Sloan Kettering Cancer Center (MSK) in New York for metastatic breast, genitourinary, gynaecological, or lung cancers.
Interventions Nonblinded, randomised, controlled trial of web‐based self‐reporting of symptoms, compared with usual care.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: STAR (Symptom Tracking and Reporting)
Constructs measured: Health related Quality of Life, Symptoms
Instrument categories/domains: Generic, Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic and paper (clinicians received symptom printouts, nurses received email alerts when patient symptoms worsening)
How often information fed back: At each clinic visit
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcome: change in HRQL at 6 months from baseline
Other outcomes: survival at 1 year, quality‐adjusted survival
Notes Funded by the Conquer Cancer Foundation of the American Society of Clinical Oncology. The study ran from March 2014 until January 2017. Two authors reported receiving funding from pharmaceutical companies (MGK; HIS).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer generation random.
Allocation concealment (selection bias) Low risk Allocations conducted by different service.
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (crossed design; study looking at feedback).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline variables were well balanced between groups.
Baseline characteristics similar Low risk All baseline characteristics relatively balanced between sub groups within intervention and usual care.
Incomplete outcome data (attrition bias)
All outcomes Low risk Multiple sensitivity imputation analysis conducted for incomplete data past baseline measurements.
Was study protected against contamination Low risk Controls did not do intervention or had access to intervention system.
Selective reporting (reporting bias) Low risk All outcome measurements mentioned in methods section was reported in results.

Bastiaansen 2018.

Study characteristics
Methods Pragmatic randomised trial, the Netherlands.
Participants 161 patient with a primary diagnosis of depression. Mean age 32 years (12), 54% female. 
Interventions Systematic self‐monitoring in combination with digital feedback reports and face‐to‐face discussion. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times) 
PROM(s) used as intervention: Routine Outcome Monitoring web application (RoQua)
Constructs measured: Symptoms, Functioning, Other (Empowerment)
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic 
How often information fed back: Weekly
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: change in depression symptom severity.
Other outcomes: psychological functioning, empowerment, and costs.  
Notes Funded by grants from the Gratama, Stichting tot Steun VCVGZ, and the Dutch Depression Foundation. The study ran from 1 March 2016 until 31 July 2018. The authors did not report any conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Sequential block allocation using randomisation tool. 
Allocation concealment (selection bias) Low risk Sequentially‐numbered sealed envelopes. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Blinding impossible due to nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Baseline measurement identical. 
Baseline characteristics similar Low risk Characteristics all similar. 
Incomplete outcome data (attrition bias)
All outcomes Low risk Intention‐to‐treat analysis. Multiple imputation of missing data. 
Was study protected against contamination High risk Multi‐site study with randomisation at the patient level. 
Selective reporting (reporting bias) Low risk Published protocol. 

Berking 2006.

Study characteristics
Methods Individual randomised controlled trial, Germany
Participants 118 patients in a cognitive‐behavioural oriented impatient setting
Interventions Half of the therapists were provided with systematic feedback on their patients’ progress.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: 10‐Item‐Form des Emotionalitätsinventars (EMI‐B), 11‐Item‐Form des Brief Symptom Inventory (BSI), 12‐Item‐Form des Inventars Interpersonaler Probleme (IIP), 10‐Item‐Form des Inkongruenzfragebogens (INK).
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (Mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Routine systematic feedback
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcome: impact of psychotherapy measured with: 10‐Item‐Form des Emotionalitätsinventars (EMI‐B); 11‐Item‐Form des Brief Symptom Inventory (BSI); 12‐Item‐Form des Inventars Interpersonaler Probleme (IIP); 10‐Item‐Form des Inkongruenzfragebogens (INK).
Notes Funding information not reported. Study period not reported. Conflicts of interest not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Tossing a coin
Allocation concealment (selection bias) High risk Tossing a coin
Blinding of participants and personnel (performance bias)
All outcomes High risk Could not occur given the nature of the intervention
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Unclear
Baseline characteristics similar Low risk No significant differences between the control and experimental groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Pre and post data sets reported
Was study protected against contamination Unclear risk Not enough information to make a decision
Selective reporting (reporting bias) Low risk No evidence of selective reporting

Blonigen 2015.

Study characteristics
Methods Pilot randomised trial, USA
Participants 30 patients entering a 90‐day residential substance use disorder treatment program.
Mean age 49 (range 26‐64) years, 93.3% male.
Interventions Patients completed assessments of sociodemographics, treatment history, substance‐ related functioning, and personality and worked with an Intervention Co‐ordinator (IC) to work on assessment questions. At patient‐centred feedback session (13.8 mean days after treatment entry) they received a summary of their personality profile and recommendation to help address problematic behavior tendencies. At 1‐month follow‐up sessions patient completed assessment regarding their adjustment to the residential program.
response time: 13.8 mean days via face‐to‐face
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: The Brief Addiction Monitor, The NEO PI‐R measure of normal‐range personality, The Assessment Questionnaire (AQ) measuring satisfaction with the patient‐centred assessment process.
Constructs measured: Functioning, Other (Satisfaction)
Instrument categories/domains: Domain/Disease specific (Mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: At feedback session and one month follow up
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: assessment Questionnaire (AQ)
Other outcomes: length of stay in the program and whether or not patient dropped out of the program
Notes The study was supported by Career Development Award‐2, VA Office of Research and Development (Clinical Sciences R&D); Locally Initiated Project (LIP13DB1), VA Palo Alto Centre for Innovation to Implementation (Ci2i). The study period was not reported. The authors declared no competing interesting. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Numbers randomly added to an excel spreadsheet
Allocation concealment (selection bias) Unclear risk Patients notified of their status
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (crossed design; study looking at feedback).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk No information on baseline measurements
Baseline characteristics similar Low risk None apparent
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No discussion on missing data
Was study protected against contamination Unclear risk No discussion on whether the clinician delivering the intervention interacted with the control group patients
Selective reporting (reporting bias) Low risk All outcome measurements mentioned in methods section was reported in results

Boyer 2013.

Study characteristics
Methods Prospective, randomised open‐label trial, France
Participants 124 adult patients with the diagnosis schizophrenia and a stable disease status.
Mean age 41.1 years (SD 11.8), 67.7% male.
Interventions Patients with schizophrenia were assigned to one of three groups: patients completed the standard face‐to‐face psychiatric assessment (PANSS, CDSS, ESRS, GAF), patients completed a QoL questionnaire (S‐QOL) in addition to the standard psychiatric assessment, feedback regarding the QoL scores was presented to clinicians in addition to the standard psychiatric assessment.
Evaluations were performed at three different time points: (a) at randomisation (baseline; T0) as well as 3 months (T1) and at 6 months (T2). The effect of QOL assessments and feedback on patient’s satisfaction was measured.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: S‐QoL (Schizophrenia Quality of Life) questionnaire
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (Mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Completed on paper, item scores entered on computer by researcher
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: At each evaluation session
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: patient satisfaction (QSH‐45)
Other outcomes: psychotic symptomatology (PANSS), depression (CDSS), drug‐induced movement disorder (ESRS), global Functioning (GAF).
Notes The study was supported by Institutional grants ‐ 2005 Programme Hospitalier Recherche Clinique National. Sponsor: Assistance Publique, Hopitaux de Marseille, France. The study period was not reported. The authors declared no conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation.
Allocation concealment (selection bias) Low risk Computer generated randomisation using permuted block design
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (crossed design; study looking at feedback).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk No significant differences (table of sociodemographics and clinical characteristics provided)
Incomplete outcome data (attrition bias)
All outcomes Low risk Only 2 patients out of 124 did not complete follow up assessments
Was study protected against contamination Low risk None apparent
Selective reporting (reporting bias) Low risk All outcome measurements mentioned in methods section was reported in results

Brodey 2005.

Study characteristics
Methods Randomised trial, USA
Participants 1374 adult patients
87,5% white, 4,5% black, 4% Hispanic, 4% multiracial
Interventions Patients complete 11 items from the SCL‐90 at starting point and 6 weeks later. In the intervention group a report detailing survey results were given after the initial and 6‐week administration to the clinician.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: S‐QoL (Schizophrenia Quality of Life) questionnaire
Constructs measured: Symptoms
Instrument categories/domains: Generic, Domain/Disease specific (Mental health)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper, or via telephone system
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: At intake and at 6 weeks
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: depression (SCL‐11), anxiety (SCL‐11)
Other outcomes: clinician satisfaction
Notes National Institute of Mental Health grant (1 R43MH57614‐O1 A1). The study period was not reported. No conflicts of interest were reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation method not stated.
Allocation concealment (selection bias) Unclear risk Not clear as randomisation method was not discussed
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (crossed design; study looking at feedback).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk None apparent
Incomplete outcome data (attrition bias)
All outcomes Low risk None apparent
Was study protected against contamination Unclear risk Unclear as the patients were contacted via telephone or post
Selective reporting (reporting bias) Unclear risk Outcome measurements collected were reported

Brody 1990.

Study characteristics
Methods Randomised trial, USA
Participants 106 patients. Mean age 57.1 years. 77% female
Interventions Trial Residents received feedback about their patient’s mental health problem (GHQ and ad hoc questionnaire about life stress) prior to seeing that patient. Residents received this feedback + a counselling protocol. And a control group with no feedback.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: GHQ 12 ‐ General Health Questionnaire
Constructs measured: Symptoms
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians 
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: assessment of patient mental health problem and types or amounts of mental health treatment provided
Other outcomes: patient and physician evaluation of the care provided during the medical visit.
Notes The study was funded by the Robert Wood Johnson Foundation (Princeton, NJ) and Henry J. Kaiser Foundation (Meulo Park, CA)
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation of participating clinics not specified
Allocation concealment (selection bias) Low risk Cluster‐randomised design.
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (crossed design; study looking at feedback).
Blinding of outcome assessment (detection bias)
All outcomes High risk Participants of the intervention group received the outcomes as it was part of the protocol.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk No significant differences (table of baseline characteristics provided)
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There was no discussion on missing data
Was study protected against contamination Low risk Each clinic were either a control or intervention group and were provided with the relevant protocols
Selective reporting (reporting bias) Low risk All measures mentioned in the methods section were reported in the results

Bryant 2020.

Study characteristics
Methods Pilot randomised trial, USA. 
Participants 76 hospitalised haematopoietic stem cell transplantation patients.
Interventions Symptom monitoring using the PRO‐CTCAE with daily feedback to nurse. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: PRO‐CTCAE survey
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer symptoms)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 7, 10 and 14 days
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcome: symptom burden on days 7, 10, and 14 following hospitalisation. 
Notes University of North Carolina Cancer Research Fund and Lineberger Comprehensive Cancer Center Core Grant. The study recruited between May 2015 and June 2017. Dr. Bill Wood reported funding support from Pfizer, Genetech, Koneksa Health, and Best Doctors. Dr. Wood did not have a financial
relationship with the organisation that sponsored the research.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation process not described. 
Allocation concealment (selection bias) Low risk Screening, enrolment, randomisation,and study orientation were conducted by a research coordinator who was not a member of the clinical care team.
Blinding of participants and personnel (performance bias)
All outcomes High risk Blinding not possible due to nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Baseline measurements the same. 
Baseline characteristics similar Low risk No apparent differences between groups. 
Incomplete outcome data (attrition bias)
All outcomes Low risk Missing data distributed evenly between both groups. 
Was study protected against contamination High risk Single‐institution study, nurses saw patients in both groups. 
Selective reporting (reporting bias) Unclear risk Reporting consistent with pre‐registration information. 

Calkins 1994.

Study characteristics
Methods Randomised trial, USA
Participants 497 adults’ patients with a least 2 visits to the outpatient internal medicine department in the preceding year. Mean age 59 years. 77% female.
Interventions Patient had to fill out the Functional Status Questionnaire (FSQ) 4 times at 4‐month interval for 1 year. The clinician in the intervention group received report summarising the results of the questionnaire.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Functional Status Questionnaire (FSQ)
Constructs measured: Functioning
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Unclear
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 4 month intervals over a year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: functional status (FSQ)
Notes The study was supported by the Robert Wood Johnson Foundation (Princeton, NJ). Study period was not reported. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Paper is 'brief report', lacking detail.
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No significant differences between baseline scores on FSQ (Functional Status Questionnaire)
Baseline characteristics similar Unclear risk Paper is 'brief report', lacking detail.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Paper is 'brief report', lacking detail.
Was study protected against contamination Unclear risk Paper is 'brief report', lacking detail.
Selective reporting (reporting bias) Unclear risk Paper is 'brief report', lacking detail.

Callahan 1994.

Study characteristics
Methods Randomised trial, USA
Participants 175 patients who screened positive for depression on the CES‐D and the HAM‐D and were under the care of 103 physicians at a multi‐speciality ambulatory care clinic associated with an urban county hospital. Average age for participants was 65.
Interventions Physicians of intervention patients were provided with patient‐specific treatment recommendations during three visits to address the symptoms of depression. Guidelines for antidepressant prescription were provided.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Centers for Epidemiologic Studies Depression Scale (CES‐D), Hamilton Depression Rating Scale (HAM‐D), Short Portable Mental Status Questionnaire (SPMSQ), CAGE alcoholism questionnaire
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Unclear
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper (added to medical record)
How often information fed back: 3 times over 3 months
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: frequency of recorded depression diagnosis, stopping medications associate with depression, initiating antidepressant medication, psychiatry referrals, mean changes in both HAM‐D and Sickness Impact Profile (SIP) scores.
Notes The study was supported by the John A. Hartford Foundation, Inc. New York. The study period is not reported. Conflicts of interest are not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Only mentioned randomly assigned
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Not clearly reported
Baseline characteristics similar Low risk There were no significant differences between these 2 groups in any of the baseline characteristics.
Incomplete outcome data (attrition bias)
All outcomes High risk Among the 254 patients who completed the second stage assessment with the HAM‐D, 175 (68%) scored 15 or greater and comprise the study sample.
Was study protected against contamination Low risk Control group had no access to the intervention. 3 sessions were excluded because the investigators involved in this study practiced in them.
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section

Callahan 1996.

Study characteristics
Methods Cluster‐randomised trial
Participants 222 adults aged over 60 in primary care.
Interventions Feedback plus additional interventions for patients and clinicians
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Patient depression (measured with the HAM‐D); Patient function (measured with the SIP)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Unclear
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: diagnosis of depression
Other outcomes: discontinue medications associated with depression, initiate antidepressants, referral to psychiatry, patient depression (measured with the HAM‐D), patient function (measured with the SIP)
Notes The study was supported in part by a grant from the John A. Hartford Foundation, New York, New York. Dr. Callahan was supported by grant K08 AG00538‐02 from the National Institutes of Health. Dr. Tierney was supported by grants HS07632, HS07763, and HS07719 from the Agency for Health Care Policy and Research. The study period is not reported. Conflicts of interest are not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Only mentioned randomly assigned
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk There were no statistically significant differences between the intervention and control groups
Baseline characteristics similar Low risk There were no significant differences by study group
Incomplete outcome data (attrition bias)
All outcomes High risk An ‘intention‐to‐treat’ analysis was performed
Was study protected against contamination Low risk Control group had no access to the intervention. No physician had both intervention and control patients.
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section

Cherkin 2018.

Study characteristics
Methods Cluster‐randomised trial, USA
Participants 2138 patients visited the intervention clinics and 2571 the control clinics. Six primary care clinics were pair randomised, three to training in the STarT Back strategy and three to serve as controls.
Interventions The STarT Back risk‐stratification strategy matches treatments for LBP to physical and psychosocial obstacles to recovery using patient‐reported data (the STarT Back Tool) to categorize patients’ risk of persistent disabling pain.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: STarT Back tool (back pain)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (back pain)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 3 times (baseline, 2 months, and 6 months)
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: back‐related physical function and pain severity
Other outcomes: healthcare utilisation.
Notes Funding for this trial was provided by the Patient Centered Care Research Institute (“Evaluation of a Patient‐Centered Risk Stratification Method for Improving Primary Care for Back Pain”: Contract #398) and by the National Center for Complementary and Integrative Health/NIH (“Implementing Evidence‐Based Treatments for Persistent Back Pain into Primary Care”: Grant No. R21AT0007326). Martin Levine, Diane Piekara, and Pam Rock received support to participate in the quality improvement activities from Group Health. Nadine E Foster, an NIHR Senior Investigator, and Jonathan C. Hill were supported through an NIHR Research Professorship (NIHR‐RP‐ 011‐015) awarded to Nadine Foster. The study recruited between March 2013 and December 2015. The authors do not report conflicts of interest information. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Trial biostatistician randomly assigned participants using computer‐generated system.
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Similar results of baseline outcomes in Table 1.
Baseline characteristics similar Low risk Characteristics of both groups similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk Interviewers used to collect outcome data via telephone to reduce missing data.
Was study protected against contamination Low risk Intervention was delivered in separate clinics.
Selective reporting (reporting bias) Low risk All outcome measurements mentioned in methods section was reported in results.

Christensen 2005.

Study characteristics
Methods Randomised trial, Denmark
Participants 1785 adult patients with a new health problem consult their primary care doctor.
Mean age (SD): IG: 39.3 years (12.9); CG: 38.2 years (12.9)
Gender (% female): IG: 59%; CG: 61%
Interventions Patient were screened before consultation using a screening questionnaire (SQ): including SCL‐90R, SCL‐SOM, Whiteley‐7, SCL‐8, CAGE and SF‐36). In the intervention group the questionnaires were disclosed and scored by GPs before consultation, and in the control group the results were not scored and thus blinded.
Immediately after the consultation, the GPs completed a questionnaire on their own assessment, subjects of conversation, actions taken, and self‐reported benefit from disclosed screening results, if any.
 
Intervention features
Single complex feedback (multiple PROMs at a single time) 
PROM(s) used as intervention: SCL‐90R somatisation subscale (SCL‐SOM), Whiteley‐7 scale, anxiety and depression (SCL‐8) subscale, alcohol abuse scale (CAGE), SF‐36     
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health, alcohol abuse)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Management recommendations
Outcomes Main outcome: GPs recognition and provision of care
Other outcomes: outline useful strategies for case‐finding
Notes Interdisciplinary Research Programme of the Danish National Research Council: Quote: “Sundhedsfremme og forebyggelsesforskning” (grant# 9801278). GPs training participation, data collection and use of SQs* by The Regional Health Assurance in Aarhus County through a local pay agreement (project# 0871). The study recruited from 3 March to 1 May 2000. The authors reported no conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk How randomisation was done was not discussed
Allocation concealment (selection bias) Low risk Colour‐coded allocation used by medical secretaries only.
Blinding of participants and personnel (performance bias)
All outcomes High risk Medical secretaries aware of allocation arm.
Blinding of outcome assessment (detection bias)
All outcomes High risk Not possible due to study design (disclosure of questionnaire versus not)
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk No significant differences (table of baseline characteristics provided)
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Unanswered questions were scored zero and analysis was based on random allocation
Was study protected against contamination High risk Study design not optimal enough so contamination likely.
Selective reporting (reporting bias) Low risk None apparent.

Cleeland 2011.

Study characteristics
Methods Randomised trial, USA
Participants 100 adult patients receiving thoracotomy for lung cancer or lung metastasis
Mean age intervention group: 59.2 years (SD 13.6) and 44.7% female.
Mean age control group: 60.9 years (SD 11.8) and 48.8% female.
Interventions This study examines whether at‐home symptom monitoring plus feedback to clinicians about severe symptoms contributes to more effective postoperative symptom control.
After hospital discharge, patients rated symptoms twice weekly for 4 weeks via automated telephone calls. For intervention group patients, an e‐mail alert was forwarded to the patient’s clinical team for response if any of a subset of symptoms (pain, disturbed sleep, distress, shortness of breath, or constipation) reached a predetermined severity threshold using the M.D. Anderson Symptom Inventory (MDASI).
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: M.D. Anderson Symptom Inventory (MDASI)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered by telephone
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Patients rated symptoms twice weekly for 4 weeks via automated telephone calls
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcomes: number of symptom threshold events (MDASI); mean symptom severity between discharge and follow‐up(MDASI)
Other outcomes: mean symptom interference (MDASI), patient satisfaction (AD HOC)
Notes American Cancer Society, Atlanta, GA (grant# RSGPB‐03‐244‐01‐BBP); National Cancer Institute, Bethesda, MD (grant# R01CA026582). The study period was not reported. The authors indicated no potential conflicts of interest.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Paper only states randomisation was performed electronically using the medical centre's 'protocol management system'.
Allocation concealment (selection bias) Unclear risk Not clear whether allocation concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Clinicians knew about intervention patients due to their email alert system
Blinding of outcome assessment (detection bias)
All outcomes High risk Clinicians and surgical nurses were informed of symptoms through the IVR‐alerts which was an outcome
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk No significant differences (patient demographics provided)
Incomplete outcome data (attrition bias)
All outcomes Low risk None apparent
Was study protected against contamination High risk In the discussion the authors highlighted the possibility of the intervention patients knowing their symptoms were being monitored possibly affecting their results
Selective reporting (reporting bias) Low risk All the outcomes were reported in the results section

Cooley 2016.

Study characteristics
Methods Randomised trial, USA
Participants 179 patients. Mean age 63 years, 58% female.  
Interventions Web‐based symptom assessment using the Treatment Outcome Index. Tailored report provides longitudinal symptoms and recommendations for management provided to clinicians.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Web‐based symptom assessment
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Each visit
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Improvement in the Treatment Outcome Index, better management for depression, anxiety, and fatigue. More palliative care consults.
Notes No funding information provided. The study period was not reported. The authors did not report conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Abstract only. 
Allocation concealment (selection bias) Unclear risk Abstract only. 
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Abstract only. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Abstract only. 
Baseline outcome measurements similar Unclear risk Abstract only. 
Baseline characteristics similar Unclear risk Abstract only. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Abstract only. 
Was study protected against contamination Unclear risk Abstract only. 
Selective reporting (reporting bias) Unclear risk Abstract only. 

Dailey 2002.

Study characteristics
Methods Randomised trial, England
Participants 123 Adult patients going to their first dental treatment visit with an anxiety for the dentist measured with the Modified Dental Anxiety Scale (MDAS).
Mean age intervention group: 40.1 years (SD 13.0, Range 19‐67).
Mean age control group: 42.5 years (SD 15.0, Range 19‐51).
Interventions All patient fills out the MDAS prior to seeing the dentist. In the intervention group the dentist was informed about their patients MDAS score. Prior and after treatment patient completed the Spielberger State Anxiety Inventory for State Anxiety (STAI‐S).
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: State Anxiety Inventory Scores (STAI‐S) and Modified Dental Anxiety Scale (MDAS)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: change in state of anxiety (STAI‐S)
Notes The study was supported by the Department of Clinical Dental Sciences, The University of Liverpool, School of Dentistry, Liverpool, UK. The study period was not reported. The authors did not report any conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Paper states "Randomization was generated prior to the start of the study by means of a computerized stratified block design".
Allocation concealment (selection bias) Low risk Opaque envelopes were used for the randomisation process
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (disclosing questionnaire versus not)
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk No significant differences (table of baseline characteristics available)
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Unclear risk The dentist could have been aware of the intervention patients because of the screening forms but not sure if the patients were aware
Selective reporting (reporting bias) Low risk Outcomes mentioned in the methods were reported in results

Davis 2013.

Study characteristics
Methods Randomised controlled trial, the Netherlands
Participants 413 adult mental health (mood, anxiety, adjustment and personality disorder) patients in an outpatient setting
Control group mean age 36.9 years (SD 11.8), female 60%
Feedback group mean age 36.7 (SD 12.1) female 62%
Interventions Patient progress in terms of symptom distress, interpersonal relations, and social role (OQ‐45)
Feedback propensity (IEFPS and adaption of CFIT User Survey)
Use of feedback (post hoc question wether or not the therapist had used treatment and in what way)
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Prostate Cancer Subscale (PCS) of the Functional Assessment of Cancer Therapy‐Prostate (FACT‐P)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Twice, participants completed a total of 2 monitoring interventions in approximately 7 months.
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Primary
Effect of feedback on the rate of change in patients
Secondary
Therapist characteristics
Notes The study was funded by the National Cancer Institute (grant# R03 ‐ CA119765‐01A1a). The study period was not reported. Potential conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk RandomiSation performed using a telephone‐based system.
Allocation concealment (selection bias) Unclear risk Randomisation was done over a telephone‐based system so unclear as to whether it was known to others
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk No significant differences mentioned.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Low risk Control group did not have access to the intervention system
Selective reporting (reporting bias) Low risk Outcomes mentioned in the methods were reported in results

De Jong 2012.

Study characteristics
Methods Randomised trial, the Netherlands
Participants 413 adult mental health (mood, anxiety, adjustment and personality disorder) patients in an outpatient setting
Control group mean age 36.9 YEARS (SD 11.8), female 60%
Feedback group mean age 36.7 YEARS (SD 12.1) female 62%
Interventions Patient progress in terms of symptom distress, interpersonal relations, and social role (OQ‐45)
Feedback propensity (IEFPS and adaption of CFIT User Survey)
Use of feedback (post hoc question whether or not the therapist had used treatment and in what way)
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Outcome Questionnaire‐45 (OQ‐45), The Internal and External Feedback Propensity Scales, (an adaptation of) the CFIT* User Survey
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: At each of the first five sessions of therapy, and subsequently every fifth session for a maximum period of 1 year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: effect of feedback on the rate of change in patients
Other outcomes: therapist characteristics
Notes Funding information was not reported. The study period was not reported. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Patients assigned to groups by software
Allocation concealment (selection bias) Low risk Allocation concealed to patients
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk Paper states"'The groups did not differ on most variable".
Incomplete outcome data (attrition bias)
All outcomes High risk High rates of attrition in both groups which was not adequately addressed
Was study protected against contamination Unclear risk No mention as to what the control group did and whether they had access to the feedback for the intervention group
Selective reporting (reporting bias) Low risk Outcomes mentioned in the methods were discussed in the results section

De Jong 2014.

Study characteristics
Methods Randomised trial, the Netherlands
Participants 475 adult patients, recruited from private psychotherapy practices and outpatient mental health institutions
Mean age 38.2 YEARS (SD 12.0)
Female 68%
Interventions Patient progress in terms of symptom distress, interpersonal relations, and social role (OQ‐45)
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Questionnaire‐45 (OQ‐45)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Patients could log in anywhere, but most completed on laptop provided in therapist's waiting room
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Each therapy session
Who information fed back to: One intervention group clinician only, one intervention group clinicians and patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Main outcome: patient progress (OQ‐45)
Notes The study was supported by The Netherlands Organization for Health Research and Development (grant# 94506414). The study period was from 1 July 2006 to 31 June 2011. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation using an online system
Allocation concealment (selection bias) Unclear risk Randomisation was done online so unclear as to whether participants or therapists knew of allocation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk Significant differences (P = 0.01) found between conditions.
Baseline characteristics similar Low risk None apparent.
Incomplete outcome data (attrition bias)
All outcomes High risk High rates of attrition in both groups which was not adequately addressed
Was study protected against contamination Unclear risk Not clear what the control group had access to
Selective reporting (reporting bias) Low risk Outcomes mentioned in the methods were discussed in the results section

Denis 2017.

Study characteristics
Methods InvididualLY‐randomised controlled trial, France
Participants Five hospitals and clinics in France, advanced‐stage lung cancer patients without evidence of disease progression after or during initial treatment.
Interventions Patients were randomly assigned to be followed with either a web‐mediated prompting of follow‐up imaging or scheduled interval imaging.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: 5 self‐assessed symptoms (appetite loss, fatigue [asthenia], pain, cough, and breathlessness)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Weekly
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcome: overall survival
Notes The study was supported by Sivan Innovation Ltd. Ths study ran from June 1 2014 to January 9 2016. The funder had no role in the design of the study; the collection, analysis, or interpretation of the data; the writing of the manuscript; or the decision to submit the manuscript for publication. No further conflicts were reported.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random allocation sequence was generated by the study team
Allocation concealment (selection bias) Low risk Study team enrolled and assigned allocations to participants
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk Difference in FACIT score between groups
Baseline characteristics similar Low risk Baseline characteristics had no sig differences between groups
Incomplete outcome data (attrition bias)
All outcomes Low risk Primary endpoint was overall survival in advanced lung cancer patients
Was study protected against contamination Unclear risk Unclear whether the study was protected from contamination
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Detmar 2002.

Study characteristics
Methods Randomised trial, the Netherlands
Participants 214 adult patients undergoing outpatient palliative chemotherapy after at least 2 cycles of chemotherapy
Mean age 57 years
Female 76%
Interventions HRQL (QLQ‐C30 version 3.0) with feedback for physician and patient before consultation
Patient management (with audiotapes of consultations)
Physician's awareness of patients' health problems (comparing COOP and WONCA between physician and patient)
Patients self‐reported HRQL (SF‐36)
Patient and physician evaluation of intervention (questionnaire and telephone interview regarding their experience with the intervention)
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire‐Core 30 (QLQ‐C30)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: At 3 successive outpatient visits
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcome: patient‐physician communication
Other outcomes: physician awareness of patients' HRQL (agreement between physician and patients' reporting of problems)
Notes The study was supported by the Dutch Cancer Society. The study ran from June 1996 to June 1998. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Cross‐over design and the physicians took part in both the intervention and control
Allocation concealment (selection bias) High risk Not possible to blind clinicians due to study design.
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (intervention group received graphical summary of questionnaire results)
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 1 shows similar baseline results of the outcome measurements
Baseline characteristics similar Low risk Table provided and paper states: "The intervention and control groups were well‐balanced on variables except primary diagnosis, with the control group having proportionally more breast cancer patients than the intervention group."
Incomplete outcome data (attrition bias)
All outcomes Low risk Comparisons were made between those complete datasets and those who did not complete the follow‐ups
Was study protected against contamination High risk Cross‐over design so contamination likely
Selective reporting (reporting bias) Low risk None apparent.

Dowrick 1995a.

Study characteristics
Methods Randomised trial, UK
Participants 116 patients with a score of at least 14 but below 35 on the Beck depression inventory (BDI)
Interventions Disclosure of depression scores to general practitioners for participants with an undetected depression.
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: Beck Depression Inventory; ICD‐10* Criteria for depression
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: depression status (BDI)
Other outcome: management of depression, intention to treat depression (no intention, possible intention, definite intention)
Notes The study did not receive external funding.The study ran from 1993‐1994. The authors reported no conflicts of interest.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation method not stated.
Allocation concealment (selection bias) Unclear risk Doctors were aware of patients scores but not sure for which group.
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (disclosure of questionnaire to GP versus not)
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Unclear risk No characteristics presented in a table ‐ only mentioned that there were no sig differences between groups
Incomplete outcome data (attrition bias)
All outcomes High risk A total of 10,99 consented to take part but the numbers presented in the tables are of only 227 (table 4)
Was study protected against contamination High risk the clinical researcher was not blind to the group status of the subjects, and this could have led to selection bias at the diagnostic interview.
Selective reporting (reporting bias) Low risk None apparent.

Dowrick 1995b.

Study characteristics
Methods Randomised trial, UK
Participants 179 adults with a positive depression screen attending primary care.
Interventions Feedback plus additional interventions (patients and clinicians).
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Beck Depression Inventory (BDI)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
 
Outcomes Main outcome: depression scores (measured with the BDI‐21)
Notes No funding declared. The study was conducted in 1993. The authors reported no conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Participants were randomly subdivided on a 6:5 ratio (to allow later diagnoses to be discounted in assessing changes in depressing status)
Allocation concealment (selection bias) Low risk Allocated using sealed envelopes
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (intervention group received graphical summary of questionnaire results)
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk There were no statistically significant differences between the intervention and control groups
Baseline characteristics similar Low risk There were no significant differences between the two groups in terms of age, gender, civil, employment or physical health status.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk An ‘intention‐to‐treat’ analysis was performed
Was study protected against contamination High risk The researcher performing the interview and analysing the data were aware that the patient was a participant in the study
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section

Dueck 2015.

Study characteristics
Methods Cluster‐randomised trial, USA. 
Participants 269 patients with rectal cancer. 
Interventions Symptom feedback to clinicians using the PRO‐CTCAE.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: National Cancer Institute’s Patient‐Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO‐CTCAE)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: At time of toxicity assessments
Who information fed back to: Clinicians
Information fed back: Unclear
Outcomes Clinician reporting of adverse events.
Notes The study was sponsored by the Alliance for Clinical Trials in collaboration with the National Cancer Institute (NCI) and the Canadian Cancer Trials Group. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information provided. 
Allocation concealment (selection bias) Unclear risk Insufficient information provided. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Insufficient information provided. 
Baseline outcome measurements similar Unclear risk Insufficient information provided. 
Baseline characteristics similar Unclear risk Insufficient information provided. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Insufficient information provided. 
Was study protected against contamination Unclear risk Insufficient information provided. 
Selective reporting (reporting bias) Unclear risk Insufficient information provided. 

Fann 2017.

Study characteristics
Methods Randomised trial, USA
Participants Adult patients starting cancer therapy
Interventions Adult patients starting cancer therapy were randomised to receive usual education about symptoms and quality of life (SxQOL) topics (control) or usual education plus self‐care instruction for SxQOL issues, communication coaching, and the opportunity to track SxQOL between clinic visits (intervention). Clinicians received summaries of participant reports at each time point in both groups.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: PHQ‐9=Patient Health Questionnaire‐9, EF=QLQ‐C30 emotional functioning, HSCT=hematopoietic stem cell transplant, RF=QLQ‐C30 role functioning, SF=QLQ‐C30 social functioning
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: PROMs were administered before treatment (T1), 3–6 weeks after starting treatment (T2), 2 weeks later (T3), and 2–4 weeks after treatment ended or at  the next restaging visit for participants who continued to receive treatment (T4). 
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Secondary analysis of psychosocial outcomes of the ESRA‐C‐II study by examining the effects of the intervention on depression and on social, emotional and role functioning.
Notes The study was funded by the National Institute of Nursing Research R01 NR008726. The study recruited from October 2008 until December 2013. The authors reported no conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer generated.
Allocation concealment (selection bias) Unclear risk No information provided about who did allocations.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Mean scores were similar between groups.
Baseline characteristics similar Low risk No significant differences in characteristics.
Incomplete outcome data (attrition bias)
All outcomes Low risk Original paper stated that incomplete data was removed.
Was study protected against contamination Low risk Controls did not do intervention or had access to intervention system.
Selective reporting (reporting bias) Low risk Main outcome reported in the results.

Franco 2020.

Study characteristics
Methods Randomised trial. Italy.
Participants 222 patients with uncontrolled epileptic seizures. 
Interventions Assessment of adverse events using the Adverse Event Profile (AEP) and communication of patient scores to treating physicians. 
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: 31‐item epilepsy‐specific Quality of Life Inventory ‐ Epilepsy–31 (QOLIE‐31), 19‐item AEP questionnaire, Beck Depression Inventory II (BDI), 5‐digit Clinical Global Impression (CGI) scale
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (epilepsy)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: 0 (enrolment), 6, 12, and 18 months
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcome: adverse events measured by the AEP and quality of life measured by the Quality of Life Inventory for Epilepsy‐31 (QOLIE‐31).
Notes Funded by the Italian Medicines Agency (Agenzia Italiana del Farmaco [AIFA]) (FARM52K2WM_003) and the University Pavia. The study was conducted between 2006 and 2009. No conflicts of interest are reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation. 
Allocation concealment (selection bias) Low risk Secure online system delivered allocation. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Measurements the same.
Baseline characteristics similar Low risk Characteristics similar. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported. 
Was study protected against contamination High risk Multi‐site no cluster design.
Selective reporting (reporting bias) Unclear risk No published protocol. 

German 1987.

Study characteristics
Methods Randomised trial, USA
Participants 809 adults recruited from general practices who had a 'positive' score on the GHQ.
Interventions Feedback of depression scores reported to the physician.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: General Health Questionnaire (GHQ)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: number of enrolled on treatment program.
Other outcomes: percentage of patients attending counselling, percentage of patients attending social agency contact, percentage of patients with psychotropic drugs noted or prescribed, referral to mental health specialist or other agency.
Notes The study was supported in part by contract 278‐81‐0026(DB) from the National Institute of Mental Health to the Health Services Research and Development Center, Department of Health Policy and Management, School of Hygiene and Public Health, The Johns Hopkins University. The study took place between December 1981 and March 1982. No conflicts of interest are reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Random samples were taken from each day's appointment list.
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Not clearly reported
Baseline characteristics similar Unclear risk Not clearly reported
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not clearly reported
Was study protected against contamination Low risk Control group had no access to the intervention.
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section

Gilliam 2004.

Study characteristics
Methods Randomised trial, USA
Participants 62 epilepsy patients with an AEP (Adverse Events Profile) score of at least 45
AEP provided group mean age 38.6 years (SD 9.5) female 68%
AEP inaccessible group mean age 38.9 (SD 11.9) female 67%
Interventions Measuring drug side effects (AEP)
Measuring quality of life of epilepsy patients (QOLIE‐89)
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: The Adverse Events Profile (AEP)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (epilepsy)
 
Administration features
Where PROMs administered: Unclear
How administered: Unclear
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Over 4 months. Mean clinic visits 2.2 (SD, 0.89), range 1 to 4.
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcome: improvement in drug side effects (AEP)
Other outcomes: quality of life (QOLIE‐89)
Notes The study was funded by National Institutes of Health (grant NS01794), GlaxoSmithKline (unrestricted grant). The study took place between 1 February 2001 and 1 April 2001. No conflicts of interest are reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The randomisation was performed with a computer program
Allocation concealment (selection bias) Low risk Participants were not informed of their randomisation status (stated in paper)
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No significant differences in baseline
Baseline characteristics similar Low risk No significant differences in characteristics
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No discussion of how incomplete data was addressed ‐ attrition rate was between 63% and 78%
Was study protected against contamination Low risk Unlikely as standard practice was used for control patients when scores were not available
Selective reporting (reporting bias) Low risk All the outcome assessments reported in methods were presented in the results section

Girgis 2009.

Study characteristics
Methods Randomised trial, Australia
Participants 356 patients with non‐localised breast or colorectal cancer within 6 months of diagnosis
Usual care mean age 57.4 years female 71.8%
O/GP mean age 58.3 years female 72.3%
TCW mean age 57.8 years female 72.5%
Interventions Feedback of PROs via either a telephone caseworker or a oncologist/GP
Anxiety and depression (HADS)
Quality of Life (EORTC version 3)
Perceived needs (Suportive Needs Survey‐Short Form)
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: European Organisation for Research and Treatment of Cancer (EORTC QLQ‐C30), 34‐item Supportive Needs Survey‐SF (perceived needs), 10 items from the Needs Assessment for Advanced Cancer Patients Questionnaire (other prevalent needs)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic, Paper
How often information fed back: 3 times (baseline, 3 months, and 6 months)
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: impact of supportive care models
Other outcomes: anxiety and depression (HADS), quality of Life (EORTC version 3), perceived needs (Suportive Needs Survey‐Short Form). The study period is not reported. The authors declare no conflicts of interest. 
Notes The study was funded by National Health and Medical Research Council of Australia Palliative Care Research (grant# 300807; Medical Benefits Fund of Australia; Hunter Medical Research Institute (infrastructure support); Afaf Girgis
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation performed quote: "using a computer‐generated algorithm".
Allocation concealment (selection bias) Low risk Computer‐generated randomisation at baseline
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk No baseline outcome scores provided ‐ only at T2 and T3 in table 1
Baseline characteristics similar Low risk Paper states quote: "All groups had similar baseline demographic and clinical characteristics" (table provided).
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Unclear risk GPs and oncologists nominated by control groups participants but intervention participants allocated case workers ‐ unclear as to whether either group could have had access to the other information
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Gold 1989.

Study characteristics
Methods Randomised trial, USA
Participants 599 non critical emergency department patients
Mean age unknown
Female 61.2%
Interventions Providing the results of a psychiatric screening instrument (GHQ) to emergency physicians.
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: The General Health Questionnaire‐28 (GHQ‐28)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once 
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: patient judged to have a psychiatric problem (psychiatric diagnosis and/or psychosocial referral)
Other outcomes: acceptance rate of psychosocial referral, medical management (number of laboratory test or medical/surgical referrals)
Notes The study was funded by National Institute of Mental Health (grant# RO 1 MH 3703). The study was conducted between 1 January 1983 and 1 February 1984. No statement was given concerning conflicts of interest. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Paper only states quote "Patients were assigned to the control or intervention group based on the time they presented to the ED."
Allocation concealment (selection bias) Unclear risk Not stated in text
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk There was only one measure ‐ i.e. no baseline and follow‐up.
Baseline characteristics similar Unclear risk Not reported.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Unclear risk The physicians would have had a different process for intervention patients ‐ but it was unclear as to whether they knew what to expect
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Goldsmith 1989.

Study characteristics
Methods Cluster‐randomised trial, USA
Participants 62 older adults (mean age 70 years) with at least one chronic illness attending a family physicians.
Interventions Feedback of score from the SIP immediately before a visit.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Sickness Impact Profile (SIP)
Constructs measured: Functioning
Instrument categories/domains: Domain/Disease specific (physical health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: physician and patient agreement on the presence of disabilities.
Notes The study was funded by American Academy of Family Physicians. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Startified randomisation method
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Not clearly reported
Baseline characteristics similar Low risk There were no statistically significant differences between the intervention and control groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Unclear risk Not reported
Selective reporting (reporting bias) Unclear risk All relevant outcomes in the methods section are reported in the results section

Gossec 2018.

Study characteristics
Methods Randomised trial, France
Participants 320 rheumatoid arthritis (RA) patients in 13 rheumatology centres across France.
Interventions Online interactive electronic e‐health platform developed to allow patient self‐assessment and self‐monitoring.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: RAPID3 Health Assessment Questionnaire, RA Impact of Disease scores, as well as symptoms as free text
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (rheumatoid arthritis)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Patients not prompted, at their discretion how many times they recorded information and received feedback.
Who information fed back to: Patients (who can share with clinicians at their instigation)
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcome: change in patient‐physician inter‐ actions, assessed using the Perceived Efficacy in Patient–Physician Interactions questionnaire (PEPPI‐5), over 12 months.
Notes The study was funded by UCB France and e‐Health Services Sanoia. The study period was between June 2014 and April 2016. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk No mention of how randomisation was done.
Allocation concealment (selection bias) Unclear risk No information about randomisation.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Outcome scores in Table 2 similar at baseline.
Baseline characteristics similar Low risk No sig differences between groups.
Incomplete outcome data (attrition bias)
All outcomes High risk Missing data were imputed using last observation carried forward.
Was study protected against contamination Low risk Control group not informed of the intervention.
Selective reporting (reporting bias) Low risk Primary and secondary outcomes reported in the results.

Gutteling 2008.

Study characteristics
Methods Randomised trial. the Netherlands
Participants 162 adults (mean age 48 years)
Interventions Computerized HRQOL assessment completed and feedback graphically to clinicians.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: 12‐Item Short Form Survey (SF‐12), PCS Physical Component Summary, MCS Mental Component Summary, LDSI 2.0 Liver Disease Symptom Index 2.0
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (liver disease, mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Before each consultation for the duration of one year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: generic HRQOL (measured with the SF‐12), disease‐specific HRQOL (measured with the LDSI 2.0)
Notes No funding declared. The study was initiated between September 2004 and September 2005. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Restricted randomisation procedure through blocking
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to the nature of the intervention, it was impossible to blind physicians to group assignment
Blinding of outcome assessment (detection bias)
All outcomes High risk The PROM used for feedback was also used for outcome assessment
Baseline outcome measurements similar Low risk Adjusted for analysis
Baseline characteristics similar Low risk There were statistically significant differences between the intervention and control groups
Incomplete outcome data (attrition bias)
All outcomes Low risk Out of 327, 162 patients were included in the data analyses
Was study protected against contamination Low risk physicians rather than patients were randomly assigned to either the intervention or control group.
Selective reporting (reporting bias) Low risk None reported

Haas 2016.

Study characteristics
Methods Randomised trial, USA.
Participants 117 patients with cancer beginning chemo, hormone, or radio therapy. 
Interventions Assessment of symptoms using the FACT‐G bi‐weekly with feedback to clinical team vs usual care. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: SymptomCareAnywhere (SCA) 
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (Cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: At lease weekly
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: FACT‐G scores.
Notes Funding source not reported. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not reported ‐ abstract only. 
Allocation concealment (selection bias) Unclear risk Not reported ‐ abstract only. 
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not reported ‐ abstract only. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported ‐ abstract only. 
Baseline outcome measurements similar Unclear risk Not reported ‐ abstract only. 
Baseline characteristics similar Unclear risk Not reported ‐ abstract only. 
Incomplete outcome data (attrition bias)
All outcomes High risk Only regular users of the interventions were included in the analysis (22 of 51 randomised). 
Was study protected against contamination Unclear risk Not reported ‐ abstract only. 
Selective reporting (reporting bias) Unclear risk Not reported. 

Hadjistavropoulos 2009.

Study characteristics
Methods Randomised trial, Canada
Participants 114 patients at least 65 years old with complex medical problems and who where being assessed by case coordinators working for the local health region
Mean age 80.7 (SD 7.9)
Female 70.4%
Interventions Integrate geriatric depression scale (GDS‐SF) and a Pain Assessment Battery (21‐point box scale, GPM, GDS‐SF and Pain drawing) into usual care
Quantify medications (MQS‐III).
 
Intervention features
Single complex feedback (multiple PROMs at a single time) 
PROM(s) used as intervention: The 21‐point box pain scale, the Geriatric Pain Measure (GPM), the Geriatric Depression Scale ‐ short form (GDS‐SF)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (geriatric health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: change in medication practices, change in patient self‐reports of pain
Notes The study was funded by Canadian Institutes of Health Research. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation procedure not stated
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Only baseline outcomes presented for experimental group not the control group
Baseline characteristics similar High risk Baseline measurements not collected from control group participants.
Incomplete outcome data (attrition bias)
All outcomes High risk No mention of how missing data would be handled but there were 30 dropouts from the experimental group from baseline to follow‐up
Was study protected against contamination Unclear risk The study was announced in the local clinicians meetings and mailed the study information ‐ although patients were recruited through case coordinators ‐ thus unclear who knew what information
Selective reporting (reporting bias) Low risk None apparent.

Hansson 2013.

Study characteristics
Methods Randomised trial, Sweden
Participants 374 patients from a psychiatric outpatient clinic
Mean age 39 years (SD 13)
Female 73%
Interventions Feedback of treatment progress with OQ‐45 scores to the patient and therapist.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Questionnaire 45 (OQ‐45) Swedish version
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Weekly
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores
Outcomes Main outcome: efficacy in patients regarding changes in the total OQ‐45 scale
Other outcomes: changes in the OQ‐45 subscales of psychiatric symptoms, interpersonal problems and social functioning, frequency of OQ‐45 scores indicating alert status
Notes The study was funded by Improved process for reporting of illness (grant), Skåne, Skåne County Council; Skåne County Council’s Research and Development Foundation; Swedish Social Insurance Agency, Malmö. The study period was not reported. The authors reported no conflicts of interest. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Block randomisation performed using a pre‐prepared list
Allocation concealment (selection bias) Low risk Paper reads:quote: 'Everyone involved—patient, receptionist, therapist and researcher—were blinded to the allocation."
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 2 presented similar baseline scores between groups
Baseline characteristics similar Low risk Table provided and paper states:quote: "'No significant differences were found between first visits and other study participants concerning the number of visits during the study year, sex and age."
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Intention‐to‐treat analysed performed with last value carried forward for missing data.
Was study protected against contamination Unclear risk Unsure whether patients were able to access information on intervention and control groups. All the therapists in the intervention group were trained but there was no info about the control group
Selective reporting (reporting bias) Low risk None apparent

Hawkins 2004.

Study characteristics
Methods Randomised trial, USA
Participants 201 outpatients at a hospital‐based psychotherapy clinics
Mean age 30.8 years (SD 10.5)
Female 68%
Interventions Feedback of treatment progress with the OQ‐45 to only therapists, and to both patients and therapists.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Questionnaire 45 (OQ‐45)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Each session
Who information fed back to: One intervention group therapists only, one intervention group therapists and patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Main outcome: effect of feedback on OQ‐45 scores
Other outcomes: effect of feedback on amount of psychotherapy
Notes Funding source not disclosed. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk A randomised block design was used.
Allocation concealment (selection bias) Unclear risk Not stated
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Unclear risk Baseline measurements provided but significance in difference not discussed.
Incomplete outcome data (attrition bias)
All outcomes High risk High rate of attrition, 112 of 313 participants (35.8%) excluded from analysis
Was study protected against contamination Unclear risk Unsure what information was provided to controls ‐ although therapists were either intervention or control.
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Hoekstra 2006.

Study characteristics
Methods Randomised trial, the Netherlands
Participants 146 patients with cancer in the palliative phase
Interventions Symptom reporting with a systematic symptom monitoring instrument (Symptom Monitor).
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Symptom Monitor (assessing 10 symptoms)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Weekly
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcome: prevalence and severity of symptoms (Symptom Monitor)
Notes The study was funded by the Dutch Cancer Society (grant). The study recruited between January 2000 and June 2002. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Block design (randomisation by GP practice)
Allocation concealment (selection bias) High risk Patients knew their allocation and so did the therapist in the intervention group
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Tables 2 and 3 compare the prevalence and symptom severity scores at baseline between groups which are similar
Baseline characteristics similar Low risk Table is provided and paper states that the baseline characteristics were quote "distributed equally in terms of age and gender between the two groups".
Incomplete outcome data (attrition bias)
All outcomes Low risk The study group expected a high dropout rate due to death and analysis was done separately for complete datasets
Was study protected against contamination Low risk Randomisation by GP practice.
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Hoeper 1984.

Study characteristics
Methods Randomised trial, USA
Participants 1452 adult patients from a multi‐speciality group practice
Mean age unknown
Female 58.4%
Interventions Providing the results of GHQ mental disorder scores to the physician.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: GHQ‐28
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: effect of mental disorder screening with GHQ on the rate of detection of mental disorders
Notes The study was funded by National Institute of Mental Health (contract 278‐79‐0013). Patients were recruited between 29th Oct 1979, and 1st April 1980.Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation method not stated.
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (disclosure of questionnaire to physician versus not)
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Unclear risk Paper states quote "There were only slight sociodemographic differences between groups."
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination High risk Physicians saw participants from both the intervention and control groups.
Selective reporting (reporting bias) High risk Paper states quote: "analyses of several characteristics thought to influence physician diagnosis were done."

Jha 2013.

Study characteristics
Methods Randomised trial, UK
Participants 48 patients (24 recovery, 24 on‐treatment) with early dementia visiting a specialist mental health team. The sample included mainly females (n = 37,77%) with a mean age of 78.4 years in the recovery group and 79 in the treatment (control) group
Interventions Recovery patients received pre‐diagnostic well‐being assessment and counselling, diagnostic consultation with written feedback and post‐diagnostic support over a period of 6 months.
 
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: Mini Wellness State Examination (MWeSE) ‐ adapted from WHO‐Five Well‐Being Index
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (Mental health)
 
Administration features
Where PROMs administered: Clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Management recommendations
Outcomes Main outcome: recovery‐focused pre‐diagnostic well‐being assessment and the WHO Wellbeing Index
Other outcomes: mental state (Mini Mental State Examination), depression (Cornell Scale for Depression in Dementia, HRQOL (EUROQOL EQ‐5D), caregiver burden (Zarit Burden Interview)
Notes Study funding not disclosed. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk A computer‐generated randomisation list, prepared by the study statistician, was used.
Allocation concealment (selection bias) Low risk Single‐blind design.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Table 2 provided similar outcome measurements for baseline
Baseline characteristics similar Unclear risk Baseline characteristics provided but no indication of significance testing for differences.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Unclear risk All intervention patients were allocated to a specific nurse and controls to other nurses ‐ possibly to limit contamination
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Kazis 1990.

Study characteristics
Methods Randomised trial, USA
Participants 1920 patients with rheumatoid arthritis treated at Boston University (BU) Arthritis Center and the Vanderbilt University (VU) Division of Rheumatology and Immunology. BU participants were mainly female (78%) with an average age of 56 years. VU participants were mostly female (78%) with an average age of 57 years.
Interventions The health status report of the intervention group involved quarterly patient assessments coupled with quarterly health status reports sent to the patients’ doctors every 3 months over 1 year. The attention placebo group completed quarterly assessments, but health status reports were not fed back to the doctors.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Arthritis Impact Measurement Scales (AIMS), Modified Health Assessment Questionnaire (MHAQ)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (arthritis)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Up to 5 administrations over a year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: Arthritis Impact Measurement Scales (AIMS), Modified Health Assessment Questionnaire (MHAQ)
Notes The study was supported by Robert Wood Johnson Foundation Program on Functional Status, NIH Multipurpose Arthritis Centre (grant AR20613), NIH (grant AM‐21393) (ARAMIS), Arthritis Foundation, Jack C. Massey Foundation. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation procedure not stated.
Allocation concealment (selection bias) Unclear risk No mention of who knew about the allocations
Blinding of participants and personnel (performance bias)
All outcomes High risk Physicians knew the patients in the intervention group because they were sent weekly reports
Blinding of outcome assessment (detection bias)
All outcomes High risk Only placebo group physicians were sent outcome assessment discussion with their physician
Baseline outcome measurements similar Low risk Table 2 had no sig differences between groups for baseline data
Baseline characteristics similar Low risk First paragraph of the results showed similar characteristics of both groups
Incomplete outcome data (attrition bias)
All outcomes High risk No mention of how they would deal with missing data
Was study protected against contamination High risk Study completed at two sites, with 'similar study designs'.
Selective reporting (reporting bias) Low risk None apparent.

Kendrick 2017.

Study characteristics
Methods Partly individually randomised, partly cluster‐randomised controlled trial, UK
Participants 47 adults with new episodes of depression, in 9 general practices in Southern England.
Interventions Patient Health Questionnaire, Distress Thermometer Analogue Scale and PSYCHLOPS problem profile for monitoring depression, following diagnosis and at 10–35 days later. Feedback of scores to patients was determined by practitioners.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: PHQ‐9 for depressive symptoms, Distress Thermometer Analogue Scale for distress, PSYCHLOPS profile rating of one or two problems individual to the patient
Constructs measured: Health related Quality of Life, Symptoms, Functioning, Other (Rating of one or two problems individual to the patient ‐ PSYCHLOPS)
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical and non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Twice (follow up consultation 10‐35 days later)
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: Beck Depression Inventory (BDI‐II).
Other outcomes: Work and Social Adjustment Scale (WSAS), EuroQol Five‐item, Five‐level (EQ‐5D‐5L), Scale for quality of life, modified Client Service Receipt Inventory for costs, Medical Informant Satisfaction Scale (MISS)
Notes The study was supported by National Institute for Health Research (NIHR) Research for Patient Benefit (RfPB) Programme (grant number PB‐PG‐0613‐31004). The study period was not reported. The authors declared no conflicts of interest.
 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Trial statistician used computer sequence generation.
Allocation concealment (selection bias) High risk Due to (part) cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk Control group patients had higher scores for depression, social functioning was whose and anxiety higher at baseline.
Baseline characteristics similar Low risk Reasonably balanced ‐ but there were more married/cohabiting patients in intervention group.
Incomplete outcome data (attrition bias)
All outcomes High risk Did not mention how they would deal with incomplete data ‐ but this was a feasibility study.
Was study protected against contamination Low risk Control did not complete any PROMs.
Selective reporting (reporting bias) Low risk All outcome measurements mentioned in methods section was reported in results.

Kornblith 2006.

Study characteristics
Methods Randomised trial, USA
Participants 192 older patients with breast, prostate, and colorectal cancers who had advanced disease and currently were receiving treatment (initiate 2 months or less prior to recruitment). Mean age was 73 years in the TM+EM group and 74 in the EM group. No significant differences in sociodemographic characteristics between treatment arms
Interventions Patients were randomised to receive either telephone monitoring (TM) + educational materials (EM) or EM alone. EM involved support for people with cancer and the people who care about them, eating hints for cancer patients, helping hand, as well as available resources that were specific to each disease site. TM involved 1 telephone call each month for 6 months from centralized, trained telephone monitors.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Hospital Anxiety and Depression Scale (HADS), European Organisation for Research and Treatment of Cancer (EORTC) QoL questionnaire (QLQ‐C30), Medical Outcomes Study (MOS) 
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health, cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 3 times (study entry, 6 months, 9 months)
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcome: depression (HADS)
Other outcomes: General physical symptoms (EORTC QLQ‐C30), general physical health (Older American Resources and Services Questionnaire), depression (GDS‐SF), social support (MOS Social Support Survey), mental health services (Utilisation of Mental Health and Psychosocial Services instrument). life events (Geriatric Schedule of Recent Experience (GSRE)), cognitive impairment (Patient Satisfaction with the Research Program BOMC test)
Notes The study was supported by National Cancer Institute (grants# CA31946, CA33601); Cancer and Leukemia Group B Foundation. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation procedure not stated.
Allocation concealment (selection bias) Unclear risk Two researchers conducted telephone interviews with patients but it was unclear as to who knew which group they were in
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (telephone monitoring + educational materials versus educational materials only)
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 2 ‐ baseline outcome measurements were similar between the two groups
Baseline characteristics similar Low risk Paper reads: quote: No significant differences with regard to sociodemographic or disease characteristics were observed."
Incomplete outcome data (attrition bias)
All outcomes Low risk A plan to deal with missing data was put into place due to the potential low rates of attrition due to the population group
Was study protected against contamination Low risk Only the telephone monitor phoned the patients to collect the data and the patients had no contact with others who knew about the study
Selective reporting (reporting bias) Unclear risk None apparent.

Kroenke 2018.

Study characteristics
Methods Randomised trial, USA
Participants 300 patients in general internal medicine and family practice clinics in an academic healthcare system.
Interventions After completing the PROMIS symptom measures electronically immediately prior to their visit, the 300 study participants were randomised to a feedback group in which their clinician received a visual display of symptom scores or a control group in which scores were not provided to clinicians.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: PROMIS (Patient‐Reported Outcome Measure Information System)
Constructs measured: Symptoms
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: 3‐month change in composite SPADE score
Other outcomes: individual symptom scores, symptom documentation in the clinic note, symptom‐specific clinician actions, and patient satisfaction
Notes Supported by Patient‐Centered Outcomes Research Institute (PCORI) Contract ME‐1403‐12043. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer generated. participants were allocated to the feedback or control group in randomly alternating computer‐generated blocks of 2 and 4.
Allocation concealment (selection bias) Unclear risk Not reported.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline variables were well balanced between groups.
Baseline characteristics similar Low risk Baseline charactereistics reported in text and table.
Incomplete outcome data (attrition bias)
All outcomes Low risk 85.3% follow‐up at 3‐month period.
Was study protected against contamination Unclear risk Clinicians were allocated within a clinic or clinics and it is possible that communication between intervention and control professionals could have occurred.
Selective reporting (reporting bias) Low risk None apparent.

Kuo 2020.

Study characteristics
Methods Randomised trial, Canada. 
Participants 96 patients with advanced non‐small cell lung cancer. 
Interventions Electronic Lung Cancer Symptom Scale scores delivered to clinicians at each visit vs. usual care. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Electronic Lung Cancer Symptom Scale (eLCSSl‐QL) 
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (lung cancer)
 
Administration features
Where PROMs administered: In clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Patients completed the elcss‐ql at baseline,  before each chemotherapy cycle, and at subsequent follow‐up visits until disease progression. 
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Management recommendations
Outcomes Main outcome: palliative care referral rates. 
Secondary outcome: health‐related quality of life. 
Notes Funded by the Princess Margaret Research Foundation and the Ontario Cancer Research Network. Patients were recruited between November 2004 and May 2011. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not reported. 
Allocation concealment (selection bias) Unclear risk Not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Baseline measurement the same. 
Baseline characteristics similar Low risk Baseline characteristics similar.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported. 
Was study protected against contamination Low risk Cluster‐randomised design at the level of the oncologist. 
Selective reporting (reporting bias) Unclear risk Not reported. 

Lambert 2001.

Study characteristics
Methods Randomised trial, USA
Participants 609 clients treated in a university counselilng centre. Mean age of participants was 22.23 years and were mainly female (70%)
Interventions Participants were randomly assigned to the experimental (feedback) or control (no feedback) groups. Feedback was provided to participants weekly by a therapist and was based on participant scores on the Outcome Questionnaire.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Questionnaire (OQ)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Unclear
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Weekly
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: psychological dysfunction (Outcome Questionnaire)
Notes The study was supported by Brigham Young University; German‐American Academic Council Foundation. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation procedure not reported.
Allocation concealment (selection bias) Unclear risk Both control and experimental groups of therapists were given same information. Clients were unaware
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk All pretreatment OQ scores were similar at baseline
Baseline characteristics similar Low risk No sig differences were found between groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how incomplete data was handled
Was study protected against contamination High risk Physicians saw participants from all groups so cross‐contamination possible.
Selective reporting (reporting bias) Unclear risk None apparent.

LeBlanc 2019.

Study characteristics
Methods Randomised trial, USA. 
Participants 50 patients with advanced cancer. 
Interventions Assessment of symptoms using the Edinburgh Symptom Assessment Scale with feedback. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: App developed based on the Edmonton Symptom Assessment Scale, ESAS)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Repeated over 12 weeks
Who information fed back to: Appears to be patients only
Information fed back: Scores, Management recommendations
Outcomes Main outcome: feasibility of using the app. 
Secondary outcomes: Knowledge of care programmes, usability, satisfaction, quality of life, and patient activation. 
Notes The study was sponsored by Duke University Cancer Centre and AstraZeneca. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information reported. 
Allocation concealment (selection bias) Unclear risk Insufficient information reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Insufficient information reported. 
Baseline outcome measurements similar Unclear risk Insufficient information reported. 
Baseline characteristics similar Unclear risk Insufficient information reported. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Insufficient information reported. 
Was study protected against contamination Unclear risk Insufficient information reported. 
Selective reporting (reporting bias) High risk Reported outcomes differ to trial registration information.

Linn 1980.

Study characteristics
Methods Randomised trial, USA
Participants 150 ambulatory care patients.
Interventions Feedback of depression scores inserted into patient note.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Zung self‐rating depression scale (SDS)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: presence of depression notation in the patient's note at two weeks.
Notes The study was supported by grant 2177 from the Robert Wood Johnson Foundation and by U.S. Public Service training grant 1‐D28‐19157‐01. The study was conducted between August and October 1979. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly assigned
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Not clear
Baseline characteristics similar Unclear risk Not reported
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination High risk clinicians were allocated within a clinic or clinics and it is possible that communication between intervention and control professionals could have occurred
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Lugtenberg 2020.

Study characteristics
Methods Randomised trial, the Netherlands. 
Participants 113 patients with Stage I‐IIIB breast cancer treated with chemotherapy. 
Interventions Scores from a PROM assessing quality of life, distress, and care needs fed back to clinicians before chemotherapy cycles vs. usual care. 
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: The European Organization for Research and Treatment of Cancer BR‐23 breast cancer questionnaire, The Care Notebook (CNB), The National Comprehensive Cancer Network (NCCN) Distress Thermometer (DT), One free text dialog box (patients were invited to list topics or specific questions they would like to discuss with their HCP during their next hospital visit),
One question assessing additional supportive care needs. 
Constructs measured: Health related Quality of Life, Symptoms, Functioning, other (additional supportive care needs)
Instrument categories/domains: Domain/Disease specific (cancer) 
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 3 episodes of recording. Fed back on second and third visit
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Primary outcome: number of quality of life topics discussed prior to chemotherapy initiation.  
Notes Funded by Dutch Pink Ribbon Foundation and Pfizer, Japan. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation tool not described. 
Allocation concealment (selection bias) Unclear risk Not reported.
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Baseline measurement the same. 
Baseline characteristics similar Low risk Baseline characteristics similar. 
Incomplete outcome data (attrition bias)
All outcomes High risk Missing data not dealt with. 
Was study protected against contamination High risk Randomisation at the patient level. 
Selective reporting (reporting bias) High risk No protocol. 

Magruder‐Habib 1990.

Study characteristics
Methods Randomised trial, USA
Participants 100 depressed patients, both new and known.
Interventions Feedback of depression scores inserted into patient note.
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: Zung self‐rating depression scale (SDS)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Primary: percentage of patients treated for depression.
Notes The study was supported in part by a grant (R01MH39730) from the National Institute of Mental Health, and the A.W. Mellon Foundation. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer generated
Allocation concealment (selection bias) Unclear risk Patients were randomised by a personal computer in blocks of 10, however it is not clear who did this
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No significant differences were found
Baseline characteristics similar Low risk There were no statistically significant differences between the intervention and control groups
Incomplete outcome data (attrition bias)
All outcomes High risk Of the 880 eligible patients, 112 (12.7%) who met both screening criteria and were considered quote: "unrecognized" depressed patients
Was study protected against contamination High risk Hawthorne effect for the physicians, which would increase contamination of the control group
Selective reporting (reporting bias) Low risk None reported

Mathias 1994.

Study characteristics
Methods Randomised trial, USA
Participants 75 physicians and 573 primary care patients with unrecognised and untreated anxiety at TakeCare, a mixed‐ model health maintenance organisation (HMO) in central Colorado. Mean age of participants was 41.5 years for the demonstration group and 43.6 for the control and were mainly female (61.1% for the demonstration group and 54.6% for the control)
Interventions Participating physicians were randomised to either the demonstration or the control arm, and patients were assigned to a study arm based on the randomisation of their physicians.The patients were followed for change in outcome measures during the five‐month study period. The physician intervention was to providing an educational demonstration of anxiety in the primary care setting and to provide a reporting system for summarising the anxiety symptom levels and functioning status of the patients enrolled in the study.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Global Anxiety Score (GAS), Global Severity Index (GSI), Highest Anxiety Subscale Score (HASS)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic and Paper
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: 3 times
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcomes: anxiety symptoms (GAS, HASS)
Other outcomes: psychological distress (the Global Severity Index (GSI), functioning and well‐being (SF‐36), global improvement (perceived changes in anxiety level, functioning and well‐being, and perceived changes in communication with their physicians since the baseline survey). The study period was not reported. Conflicts of interest were not reported. 
Notes The study was supported by Upjohn Company, Kalamazoo, MI; TakeCare,CO.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Physicians were randomised by call group but no other information available about how that was done
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk Table of baseline characteristics provided and no significant differences identified.
Incomplete outcome data (attrition bias)
All outcomes Low risk Baseline characteristics of those lost to follow‐up were compared with those who completed the study
Was study protected against contamination Low risk None apparent
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Mazonson 1996.

Study characteristics
Methods Randomised trial, USA
Participants 573 adult patients with depression or anxiety.
Interventions Patient‐reported mental health information was fedback to clinicians.
 
Intervention features
Single complex feedback (multiple PROMs at a single time)
PROM(s) used as intervention: Anxiety and Depression Symptom Checklist (SCL‐90‐R), Functioning and well‐being measures (SF‐36), Diagnostic Interview schedule (DIS)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: notation in chart, mental health referral, psychotropic medications.
Other outcomes: any hospitalisation, any office visit
Notes The study was supported by Upjohn Company, Kalamazoo, Mich. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomly assigned
Allocation concealment (selection bias) High risk Patients were assiigned based on the assignment of the primary care physicians practice group
Blinding of participants and personnel (performance bias)
All outcomes High risk Physician practices rather than patients were randomised
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Adjusted for analysis
Baseline characteristics similar Low risk There were no statistically significant differences between the intervention and control groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not clearly reported
Was study protected against contamination Low risk To minimise contamination physicians and physician extenders were randomised to intervention or control by physician‐call group
Selective reporting (reporting bias) High risk None reported

McCusker 2001.

Study characteristics
Methods Multicentre randomised trial, Canada
Participants 388 older adults (65.2% male).
Interventions Feedback and notification to primary care and home care teams.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Older American Resources and Services scale (OARS), Geriatric Depression Scale (GDS)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health, physical health ‐ functional decline)
 
Administration features
Where PROMs administered: Clinical setting (ED waiting room) and non clinical setting (by telephone)
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: 3 times
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcomes: functional decline (OARS ADL), depressive symptoms (GDS‐SF)
Notes The study was supported by the Health Transition Fund, Health Canada. The study was conducted from 14th September 1998 to 1st April 1999. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Patients were randomised to the intervention or usual care group by day of recruitment.
Allocation concealment (selection bias) Low risk Each of two intervention nurses was assigned to two hospitals and rotated between them on a schedule assigned by the statistician, using blocked randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Research assistants did not inform staff which patients were recruited into the study. However, the intervention nurses coordinated the intervention with other staff, who were therefore
aware of certain intervention group patients.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Adjusted for analysis
Baseline characteristics similar High risk There was a significant difference by study group in the proportion of patients with a family caregiver: 76.4% in the intervention group and 65.2% in the control group.
Incomplete outcome data (attrition bias)
All outcomes Low risk Of 2,166 eligible patients, 63 (2.9%) declined the screening and 11 could not be found to complete the screening.
Was study protected against contamination Low risk Research assistants did not inform staff which patients were recruited into the study.
Selective reporting (reporting bias) Low risk Not reported

McLachlan 2001.

Study characteristics
Methods Randomised trial, Australia
Participants 450 patients with cancer from the ambulatory clinics at Peter MacCallum Cancer Institute. Median age of participants was 61 years (range, 18 to 92) and were mainly male (59%).
Interventions Self‐reported cancer needs, QOL, and psychosocial information was collected using standardized questionnaires via a touch‐screen computer. For a randomly chosen 2/3, the information was made available to the health care team who coordinated targeted psychosocial interventions. Information from the remaining 1/3 was not seen. Patients were assessed 2 and 6 months after randomisation for changes in their cancer needs, QOL, and psychosocial functioning and satisfaction with overall care received.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Cancer Needs Questionnaire–short form (CNQ), European Organisation for Research and Treatment of Cancer (EORTC QLQ‐C30), Beck Depression Inventory (BDI) Short Form
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health, cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 3 times
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: psychological and Information Scales of the Cancer Needs (Cancer Needs Questionnaire–short form, CNQ)
Other outcomes: remaining domains of the CNQ, HRQOL (EORTC QLQ‐C30), depression (BDI)
Notes The study was supported by the Commonwealth of Australia; State Government of Victoria. Patients were recruited between March1999 and February 2000. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation performed using quote: "Computer‐generated randomization charts".
Allocation concealment (selection bias) Low risk All patients completed the same measurements at the same times ‐ although the intervention received the feedback ‐ unsure whether patients knew which group they were in
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table provided similar outcome scores at baseline for both groups
Baseline characteristics similar Low risk Paper states quote: "Patient demographics were well balanced in the two arms."
Incomplete outcome data (attrition bias)
All outcomes Low risk Attrition rates were high and similar across the groups
Was study protected against contamination High risk Doctors and clinic nurses were involved in seeing both intervention and control patients in the ambulatory care clinics. The health professionals’ behavior may have changed as a result of a heightened awareness of the study purposes and issues raised by patients in the intervention group
Selective reporting (reporting bias) Low risk None apparent

Mellema 2015.

Study characteristics
Methods Randomised trial, USA
Participants 136 orthopaedic patients.
Interventions Patients were randomly assigned to either receive feedback about the Patient‐Reported Outcomes Measurement Information System (PROMIS) Pain Interference computer‐adaptive test (CAT) prior to the visit with the hand surgeon or not.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: (PROMIS) Pain Interference computer‐adaptive test (CAT)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: patient satisfaction with the consultation
Other outcomes: patient‐physician communication
Notes No funding was reported for this study. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk computer‐generated random numbers and using a permuted block approach
Allocation concealment (selection bias) Unclear risk Not reported.
Blinding of participants and personnel (performance bias)
All outcomes High risk Patient and physician were not blinded to the assignment of intervention research fellows, and research fellows that have evaluated the patient‐physician communication were aware of the allocation of intervention.
Blinding of outcome assessment (detection bias)
All outcomes High risk Outcome data collected by research fellows. And research fellows that have evaluated the patient‐physician communication were aware of the allocation of intervention.
Baseline outcome measurements similar Low risk The participants of the intervention and control groups also had similar baseline scores.
Baseline characteristics similar Low risk The intervention and control groups were well balanced.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not clearly reported.
Was study protected against contamination Unclear risk Only one surgeon at a orthpaedic outpatient clinic participated in the study.
Selective reporting (reporting bias) Low risk None apparent.

Moore 1978.

Study characteristics
Methods Randomised trial, USA
Participants 212 adults attending family practices.
Interventions A note was attached to the patient's visit note indicating depression status as assessed with SDS.
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: Zung self‐rating depression scale (SDS)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered and interviewer‐administered (patients unable to complete the self‐rating form were interviewed using the interviewer completed form)
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: recognition of depression
Notes No funding was reported for this study. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Paper states quote:"For randomisation an on‐line random number generator was utilised."
Allocation concealment (selection bias) Low risk Discrete labelling of patient files.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk T‐tests used to analyse demographics for differences ‐ no significance found.
Incomplete outcome data (attrition bias)
All outcomes High risk High rates of attrition, not adequately addressed
Was study protected against contamination Low risk All the clients had numbered files so did not know which group they were allocated
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Moore 2019.

Study characteristics
Methods Pilot randomised trial, Australia. 
Participants 32 patients with multiple myeloma
Interventions Quality of life assessment using the Myeloma Patient Outcome Scale and feedback to clinicians. 
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Myeloma Patient Outcome Scale (MyPOS6)
Constructs measured: Health related Quality of Life, Symptoms
Instrument categories/domains: Domain/Disease specific (multiple myeloma)
 
Administration features
Where PROMs administered: Unclear
How administered: Both self‐administered and interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Non assessed. 
Notes Funded by Gilead Australia Fellowship Research Grant and a grant from Takeda Pharmaceuticals Australia Pvt Ltd. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not reported. 
Allocation concealment (selection bias) Unclear risk Not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Unclear risk Not reported. 
Baseline characteristics similar Unclear risk Not reported. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported. 
Was study protected against contamination Low risk Non‐cluster design but no risk to reported outcomes. 
Selective reporting (reporting bias) Low risk Pilot study reporting acceptability and completion metrics. 

Murillo 2017.

Study characteristics
Methods Cluster‐randomised trial, Spain
Participants 136 patients recruited from five centres in Barcelona, Spain (72 girls, mean age 13.4 years).
Interventions The HRQOL intervention consisted of discussing the HRQOL scores between the doctor and the patient at each visit from visit 1 to visit 3, emphasising those points where the result was worse. The scores are reflected in a few simple graphics which the doctor showed the patient on a computer screen.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: KIDSCREEN‐27
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (diabetes ‐ children)
 
Administration features
Where PROMs administered: Both clinical and non‐clinical setting. Questionnaires were completed online at home within 48 hours of visit 1 and 4, patients without home internet completed the questionnaire at hospital.
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 4 times
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcome: HRQOL assessed using KIDSCREEN‐27 collected online
Notes The study was funded by the Spanish Ministry of Health, contract No. PI12/01296. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Only stated quote: "patients were randomly allocated".
Allocation concealment (selection bias) High risk Due to cluster‐randomised design not possible to conceal allocation from clinicians.
Blinding of participants and personnel (performance bias)
All outcomes High risk Patient and physician were not blinded to the assignment of intervention.
Blinding of outcome assessment (detection bias)
All outcomes High risk HRQOL was assessed using KIDSCREEN‐27 collected online.The intervention group discussed the results of HRQOL face‐to‐face with the physician, quarterly over a year.
Baseline outcome measurements similar Low risk No statistically significant differences were found at baseline between HRQOL intervention and control group regarding age, sex, type of family, or the highest family education level.
Baseline characteristics similar Low risk baseline characteristics of the study and control providers are reported and similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk 87.5% of participants at baseline completed data at follow‐up.
Was study protected against contamination Unclear risk Paediatrician randomisation was used rather than patients’, to avoid contamination at paediatricians’ level but the paediatricians could have communicated.
Selective reporting (reporting bias) Low risk None apparent.

Murphy 2012.

Study characteristics
Methods Randomised trial between participants design, Ireland
Participants 60 clients attending an Irish university counselling service. Mean age of participants was 23.82 and were mainly female (58.2%)
Interventions Participants were randomly assigned to the feedback or no feedback groups. Feedback was provided to participants session‐by‐session progress feedback by a therapist that was based on participant scores on the Outcome Rating Scale.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: A.S.I.S.T. for Agencies ‐ a PC‐based version of the Outcome Rating Scale (ORS)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcome: ORS
Notes Funding information not reported. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Paper states quote: "For randomisation an on‐line random number generator was utilised."
Allocation concealment (selection bias) Low risk Discrete labelling of patient files.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk T‐tests used to analyse demographics for differences ‐ no significance found.
Incomplete outcome data (attrition bias)
All outcomes High risk High rates of attrition, not adequately addressed
Was study protected against contamination Low risk All the clients had numbered files so did not know which group they were allocated
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Myasoedova 2019.

Study characteristics
Methods Randomised trial, USA. 
Participants Adult patients with rheumatoid arthritis. 
Interventions Flare Assessment in Rheumatoid Arthritis (FLARE‐RA) PROM assessment with  nurse‐led counselling or an expedited visit with a rheumatology provider offered to patients in the intervention arm who indicated they were in flare versus usual care.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: FLARE‐RA (devised and validated to improve the detection of current and recent flares in rheumatoid arthritis)
Constructs measured: Health related Quality of Life, Symptoms, Functioning, other (social and emotional wellbeing)
Instrument categories/domains: Generic, Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Unclear
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: 4 times
Who information fed back to: Clinicians
Information fed back: Scores, Management recommendations
Outcomes Primary outcome: Flare rate by OMERACT 9 definition.
Secondary outcomes: disease activity, remission, flare by provider opinion, treatment change, patient satisfaction, musculoskeletal ultrasound. 
Notes This work was financially supported by a grant from Pfizer (Grant ID 15322005). The study period was not reported. Conflicts of interest were reported as follows: Disclosures Elena Myasoedova: no disclosures or COI
Cynthia S. Crowson: no disclosures or COI
Rachel E. Giblon: no disclosures or COI
Kathleen McCarthy‐Fruin: no disclosures or COI
Daniel E. Schaffer: no disclosures or COI
Kerry Wright: no disclosures or COI
Eric L. Matteson: Grant/Research/Clinical Trial Support (rheumatoid
arthritis)
Genentech, Mesoblast, Novartis, Pfizer, Sun Pharmaceutical
Industries, Ltd
Editorial functions: UpToDate
John M. Davis, III: Grant/Research/Clinical Trial Support (rheumatoid
arthritis) Pfizer
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Block randomisation was by a computer‐generated random number algorithm prepared by a statistician
Allocation concealment (selection bias) Unclear risk Not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Adjusted analysis. 
Baseline characteristics similar Low risk Baseline characteristics similar. 
Incomplete outcome data (attrition bias)
All outcomes Low risk Intention‐to‐treat protocol. 
Was study protected against contamination Unclear risk Not reported. 
Selective reporting (reporting bias) Unclear risk Protocol not published. 

Nimako 2017.

Study characteristics
Methods Randomised trial, UK
Participants 138 patients attending the Royal Marsden Hospital for cancer treatment.
Interventions Participants were randomised in equal numbers (1:1:1) to either one of the three groups (Intervention, Attention and Control groups). (1) an Intervention group that completed the European Organisation for Research and Treatment of Cancer–Core Quality of Life Questionnaire and Lung Cancer Module (EORTC QLQ‐C30 and LC13) at baseline and received feedback during a clinic, (2) an Attention group that completed the questionnaire at baseline without feedback and (3) a Control group that did not complete the questionnaire.
 
Intervention features
Single complex feedback (multiple PROMs at a single time) 
PROM(s) used as intervention: European Organisation for Research and Treatment of Cancer (EORTC QLQ‐C30), Lung Cancer Module (LC13)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores
Outcomes Main outcome: cancer‐related symptoms
Notes There was no formal funding for this study but the authors acknowledge NHS funding to the Royal Marsden Hospital/Institute of Cancer Research NIHR Biomedical Research Centre and an academic grant from Philips Healthcare. Dr Popat is in receipt of a clinical senior lectureship award from the Higher Education Funding Council for England. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Stratified randomisation was used.
Allocation concealment (selection bias) Low risk The clinical trials unit carried out randomisation electronically.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk The PROM used for feedback was also used for outcome assessment.
Baseline outcome measurements similar High risk There was a significant difference between the Intervention and Control groups for the mean number of QoL issues identified at baseline.
Baseline characteristics similar Low risk Baseline characteristics of the study and control providers are reported and similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk Ninety‐five per cent (131/138) of the participants completed the outcome questionnaire at 6 weeks.
Was study protected against contamination High risk As the doctors performing the consultation were aware that the patient was a participant in the study, they may have raised the care that they gave to the patients.
Selective reporting (reporting bias) Low risk None apparent. all relevant outcomes in the methods section are reported in the results section.

Nipp 2019.

Study characteristics
Methods Pilot randomised trial, USA. 
Participants Hospitalised patients with cancer. 
Interventions Daily symptom reports using the Edmonton Symptom Assessment System and Patient Health Questionnaire‐4 with graphical feedback including alerts to clinical team during daily rounds. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Edmonton Symptom Assessment System and Patient Health Questionnaire‐4
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Daily
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Primary outcome: feasibility defined as >75% of patients hospitalised for 3 days or longer completing >2 symptom reports. 
Secondary outcome: preliminary assessment of feasibility. 
Notes Funded by National Cancer Institute (USA), Massachusetts General Hospital Cancer Centre, and Schullen Centre for Cancer Data Analysis. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Block randomisation using a computer. 
Allocation concealment (selection bias) Unclear risk Not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by design. 
Blinding of outcome assessment (detection bias)
All outcomes High risk Unblinded by design. 
Baseline outcome measurements similar Low risk Adjusted for within analysis. 
Baseline characteristics similar Low risk Baseline values were similar. 
Incomplete outcome data (attrition bias)
All outcomes Low risk Intention‐to‐treat analysis. 
Was study protected against contamination High risk Chance that control arm patients can report symptoms.  
Selective reporting (reporting bias) Unclear risk Protocol not published. 

Picardi 2016.

Study characteristics
Methods Randomised trial, Italy
Participants 115 patients in 13 primary care practices who screened positive for depression and did not report suicidal ideation.
Interventions Those who screened positive and did not report suicidal ideation were randomised to an intervention group (communication of the result and offer of psychiatric evaluation and treatment free of charge; 56) or a control group (no feedback on test result for 3 months; 59).
 
Intervention features
Single complex feedback (multiple PROMs at a single time) 
PROM(s) used as intervention: The 5‐item version of the PC‐SAD (PC‐SAD5), WHOQOL‐Bref
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc)
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcomes: depression (PC‐SAD), QoL (WHOQOL‐Bref)
Notes The study was funded by Italian Ministry of Health in the framework of the ‘Programma Ricerca Finalizzata 2006’. The study ran from January2009 to June 2010.  Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated simple randomisation list.
Allocation concealment (selection bias) Low risk Participants were given an envelope containing a sociodemographic form and the Primary Care Screener for Affective Disorders (PC‐SAD) and WHOQOL‐Bref questionnaires to complete. Participants placed the completed questionnaires back in the envelope, and they put it in a transparent drop box located in the waiting room. The PC‐SAD was scored through an automated system by a researcher who was not involved in subsequent assessments.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No significant differences in baseline.
Baseline characteristics similar Low risk Baseline characteristics of the study and control providers are reported and similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk 87% of randomised patients (intervention group,N = 46; control group,N = 54) completed the 3‐month assessment.
Was study protected against contamination Low risk Control group had no access to the intervention.
Selective reporting (reporting bias) Low risk None apparent.

Pouwer 2001.

Study characteristics
Methods Randomised trial, the Netherlands
Participants 400 outpatients with diabetes treated at the outpatient diabetes clinic of Vrije Universiteit Medical Center. Mean age of participants was 53 years for the monitoring group and 54 for the standard care group and were mainly female for the monitoring group (57%) and male for the standard care group (52%)
Interventions The standard care group had regular appointments with an internist (3‐ to 4‐month intervals) and, if needed, other members of the diabetes team, as well as at least two 15‐minute consultations with the diabetes nurse specialist (DNS) in which various topics related to diabetes were discussed (including psychosocial issues). No formal assessment of psychological well‐being was performed. The diabetes nurse specialist assessed and discussed psychological well‐being with the patient (with an interval of 6 months) in addition to standard care for patients in the monitoring group.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Computerized Well‐being Questionnaire (W‐BQ)
Constructs measured: Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: 3 times
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcome: mood, HbA1c, quality of diabetes care at 1‐year follow‐up (Well‐being Questionnaire).
Other outcomes: number of referrals to the psychologist. The study was conducted between May 1997 and December 1999. Conflicts of interest were not reported. 
 
Notes The study was funded by Dutch Diabetes Research Foundation (grant# 95.805).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated random numbers were used.
Allocation concealment (selection bias) Unclear risk It was unclear whether patients were aware of their allocation. Formal assessments were made in the intervention group by clinicians thus they may have known
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (nurse discussion with patient about their psychological well‐being versus standard care).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk None apparent
Baseline characteristics similar Low risk Tables provided and paper states Quote:"The monitoring group did not differ signifi‐cantly from the standard care group with regard to demographic, clinical, and psy‐chological variables at baseline."
Incomplete outcome data (attrition bias)
All outcomes Low risk Analysis was intention‐to‐treat and complete‐case analysis
Was study protected against contamination High risk Possible contamination by the nurses administering the measurements
Selective reporting (reporting bias) Low risk None apparent

Priebe 2007.

Study characteristics
Methods Cluster‐randomised trial, Spain, the Netherlands, UK, Sweden, Germany, and Switzerland
Participants 134 clinicians and 507 patients from community psychiatric services in participating countries. Mean age of participants was 41.8 years for the treatment as usual group and 42.5 for the intervention group and were mainly male for both groups (64.8% and 67.5%, respectively)
Interventions Clinicians in the control group continued with standard treatment with their participating patients. Clinicians in the intervention group continued with standard treatment with their participating patients and implemented DIALOG to discuss satisfaction with 11 domains [life domains (mental health, physical health, accommodation, job situation, leisure activities, friendships, relationship with family/partner, personal safety) and treatment domains (practical help, psycho‐ logical help and medication)].
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: DIALOG covering 8 life domains and 3 treatment domains, Manchester Short Assessment of Quality of Life (MANSA), Camberwell Assessment of Need Short Appraisal Schedule, patient‐rated version (CANSA ‐ to assess unmet needs), Client Satisfaction Questionnaire (CSQ–8)
Constructs measured: Health related Quality of Life, Symptoms, Functioning, Other (treatment satisfaction)
Instrument categories/domains: Generic, Domain/Disease specific (mental health, life satisfaction, treatment satisfaction)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Every 2 months for 1 year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcome: QoL (Manchester Short Assessment of Quality of Life (MANSA)
Other outcomes: met needs (Camberwell Assessment of Need Short Appraisal Schedule), satisfaction with treatment at 12 months (Client Satisfaction Questionnaire (CSQ–8))
Notes The study was funded by Research Directorate of the European Commission within Framework Programme 5 (QLG5‐CT‐2002‐01938). The study ran from December 2002  until May 2005. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation using a quote: "computer‐generated random block number allocation sequence".
Allocation concealment (selection bias) High risk Cluster‐randomisation design was used.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 1 presented similar baseline outcome measurements for both groups
Baseline characteristics similar Low risk Table provided and paper states 'quote: "There were no significant differences in the characteristics of participants in the control and intervention groups."
Incomplete outcome data (attrition bias)
All outcomes Unclear risk None apparent
Was study protected against contamination Low risk Separate clinicians used for control and intervention groups
Selective reporting (reporting bias) Unclear risk None apparent.

Probst 2013.

Study characteristics
Methods Randomised trial, Germany
Participants 43 patients of two psychosomatic clinics. Mean age of participants was 43.45 years for the experimental group and 47.34 for the control. Participants in the experimental group were mainly female (60.9%), but for the control group there was an equal number of males and females.
Interventions Patients were randomised either into the experimental group or the control group. Both groups were tracked weekly with the Outcome Questionnaire 45 and the Assessment of Signal Cases tool. Therapists received feedback from both instruments for only the experimental group patients and the therapists could choose to discuss the feedback information with the patient, the clinic team and/or supervisors.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Outcome Questionnaire 45 (OQ‐45), Assessment of Signal Cases (ASC) ‐ clinical support tools instrument
Constructs measured: Symptoms, Functioning, Other (therapeutic alliance, social support, motivation for change, life events)
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Weekly, at least 3 times
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcomes: patient progress (OQ‐45), clinical support (Assessment of Signal Cases, ASC)
Notes The study was funded by Susa Young Gates University (Professorship awarded to Michael J. Lambert). The study was conducted between 2010 and 2012. The authors declared no conflicts of interest.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation method not specified.
Allocation concealment (selection bias) Unclear risk No information how randomisation occurred although sealed envelopes of scores were given to therapists for their experimental group
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk There were similar outcome scores for both groups at baseline (T1 measurement)
Baseline characteristics similar Low risk Table provided and no significant differences identified.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Incomplete data was excluded from the analysis
Was study protected against contamination Unclear risk Therapists received closed envelopes with experimental patients feedback, unclear as to whether patients knew or could find out
Selective reporting (reporting bias) Low risk No evidence of selective reporting

Puschner 2009.

Study characteristics
Methods Randomised trial, USA
Participants 294 adults receiving inpatient mental health care.
Interventions Continous feedback of patient‐reported treatment outcome information to physicians in the intervention arm.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: EB‐45, the German version of the Outcome Questionnaire 45.2 (OQ‐45.2)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Administered weekly, feedback continuous until discharge
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Main outcome: measured by the (German version of OQ‐45)
Notes The study was funded by German Federal Ministry of Education and Research (grant number: 01GL0504). The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk An independent unit (Ulm Universitys Institute for Biometrics) randomised all clinicians at the wards where the study took place to either intervention or control group.
Allocation concealment (selection bias) High risk Cluster‐randomisation with the therapists
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk Statistically significant differences were found for the outcomes
Baseline characteristics similar High risk Statistical differences were found for education and diagnosis
Incomplete outcome data (attrition bias)
All outcomes Low risk Low dropout
Was study protected against contamination Low risk Cluster‐randomisation with clinicians as the unit of randomisation. there were changes of patients between clinicians during inpatient treatment
Selective reporting (reporting bias) Low risk None reported

Rand 1988.

Study characteristics
Methods Randomised trial, USA
Participants 32 residents and 1040 patients visiting a family practice site. Participants were mainly between the ages of 18 to 40 years and female
Interventions Participants in the experimental group were provided feedback on the GHQ by the residents.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: GHQ‐28
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores
Outcomes Main outcomes: psychiatric screening (GHQ), chart audit form (psychologic or psychiatric of condition, and patient demographics (sex, race, age))
Notes The study was funded by University of Alabama and College of Community Health Sciences Research Grants Committees. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation method not specified.
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster‐randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible to blind physicians
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Outcome measurements were similar at baseline.
Baseline characteristics similar Low risk Table is provided and paper states that no significant differences between groups were found.
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Missing data were not mentioned in terms of how it was handled statistically
Was study protected against contamination Low risk Sites were randomised but it was not clear whether the sites were in contact with each other
Selective reporting (reporting bias) Low risk None apparent.

Reese 2009.

Study characteristics
Methods Randomised trial, USA
Participants Study 1: 74 clients that received individual therapy at a university counselling centre (UCC). Study 2: 74 clients receiving individual therapy at a graduate training clinic for a marriage and family therapy master’s program (MFC)
Interventions Study 1: Clients in the feedback condition completed the ORS at the beginning of each session and the SRS at the end of each session. Participants in the no‐feedback condition completed the ORS only at the beginning and end of treatment. Study 2: Clients in the feedback condition completed the ORS at the beginning of each session and the SRS at the end of each session. Clients in the no‐feedback condition completed the ORS at the beginning of each session, rather than just at the beginning and end of treatment.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Rating Scale (ORS)
Constructs measured: Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Each session over academic year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: outcomes (ORS), therapeutic alliance (Session Rating Scale, SRS)
Notes Funding not reported. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk A randomised block design was used.
Allocation concealment (selection bias) Unclear risk Randomisation was not detailed enough to determine whether patients or clinicians knew of their allocation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Pretreatment mean differences were not statistically significant between groups
Baseline characteristics similar Unclear risk No mention of characteristics of the sample
Incomplete outcome data (attrition bias)
All outcomes Low risk None apparent
Was study protected against contamination Unclear risk Unsure as it was not clear how therapists and clients were randomised
Selective reporting (reporting bias) High risk Not all results presented from feedback group

Richardson 2008.

Study characteristics
Methods Randomised trial, Canada
Participants 265 community‐dwelling people from family practice units. Mean age of participants was 73.89 years for the control group and 73.61 for the intervention group and were mainly female for both groups (55.1% and 53.6%, respectively)
Interventions Participants in the intervention group attended a functional status lab at baseline, 9 months and 18 months post baseline. The intervention group received feedback (approximately 30 minutes) from a physiotherapist or occupational therapist about the results of their assessments.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Self‐Reported Task Modification and Disability Scale, Health Utilities Index – Mark III, Short Form‐36 (SF‐36) 
Constructs measured: Symptoms, Functioning 
Instrument categories/domains: Generic, Domain/Disease specific (physical health – older adults)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Unclear
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 3 times: baseline, 9 months and 18 months post baseline
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: health status (SF‐36), functional status (Task Modification and Disability Scale)
Other outcomes: utilisation of health services, number of falls or exercise programme attendance, equipment purchase or medication change and were recorded in the encounter log
Notes The study was funded by Change Foundation, Toronto, Ontario. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated numbers were used to randomise participants to either intervention or control groups
Allocation concealment (selection bias) Low risk Sealed envelopes were used
Blinding of participants and personnel (performance bias)
All outcomes High risk The assessors were not blinded to the group allocation as they were collecting the outcome measurements
Blinding of outcome assessment (detection bias)
All outcomes High risk Outcome assessments were collected by the therapist delivering the intervention
Baseline outcome measurements similar Low risk Table 2 in the study showed baseline measurements were similar between intervention and control
Baseline characteristics similar Low risk Paper states quote: "Participants were similar with respect to age, sex, education and income." Table provided and no significant differences identified.
Incomplete outcome data (attrition bias)
All outcomes Low risk Intention‐to‐treat analysed performed.
Was study protected against contamination Low risk The participants and physicians in the control group did not see the information about the intervention
Selective reporting (reporting bias) Unclear risk None apparent.

Richardson 2019.

Study characteristics
Methods Randomised trial.
Participants 300 paediatric primary care patients.
Interventions Electronic screening and clinician feedback versus. usual care. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: HEADSS (home, education, activities, depression, sexual activity, safety, and substance use) framework
Constructs measured: Functioning, Other (emotional wellbeing)
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: On day 1 and 3 months
Who information fed back to: Clinicians
Information fed back: Scores
 
Outcomes Main outcome: self‐report of counselling and risk behaviours
Notes Study was funded by Health Resources and Services Administration of the US Department of Health and Human Services. The study was conducted between 13th March 2015 and 8th August 2016. Conflicts were reported as: Drs Richardson and McCarty reported receiving grants from Health Resources and Services Administration Maternal Child Health Bureau during the conduct of the study. Drs Richardson and McCarty reported having a license agreement with Tickit Health Inc as inventors of the Check Yourself Tool whereby they will receive royalties from the future sale of the tool to other health care companies; Seattle Children’s Hospital has a management plan in place to oversee their interests with Tickit Health Inc. No other disclosures were reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated list. 
Allocation concealment (selection bias) Unclear risk Not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not reported. 
Baseline outcome measurements similar Low risk Baseline outcome measurements the same.
Baseline characteristics similar Low risk Baseline characteristics similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk Intention‐t0‐treat analysis.
Was study protected against contamination High risk Non‐cluster design. 
Selective reporting (reporting bias) Low risk Reporting as per protocol. 

Rosenbloom 2007.

Study characteristics
Methods Randomised trial, USA
Participants 213 adults with metastatic breast, lung or colorectal cancer
Interventions 3 arm: usual care, HRQL assessment, HRQL assessment + structured interview and discussion.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Functional Assessment of Cancer Therapy‐General (FACT‐G), Functional Living Index‐Cancer (FLIC), Brief Profile of Mood States (Brief POMS‐17)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health, cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered and interviewer‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Baseline and 1, 2, 3, 6 months
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores
Outcomes HRQL: Functional Living Index Cancer (FLIC); Brief Profile of Mood States (Brief POMS‐17) for distress outcomes; Medical Outcomes Study Patient Satisfaction Questionnaire‐ III (PSQ‐III) for satisfaction with medical treatment. Lastly a composite clinical treatment change variable was computed.
Notes Study was funded by American Cancer Society (grant #PBR 6132); National Cancer Institute (grant #R29 CA51926).The study was conducted between 1990 and 1992.  Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation procedure not stated.
Allocation concealment (selection bias) Unclear risk No mention of who knew about the allocations
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design
Blinding of outcome assessment (detection bias)
All outcomes High risk Not possible due to study design
Baseline outcome measurements similar Low risk All baseline assessments were of similar levels
Baseline characteristics similar Low risk Table of patient demographics and clinical characteristics provided. No significant P values returned.
Incomplete outcome data (attrition bias)
All outcomes Low risk Missing data was examined using AUC and models created to which there were no significant differences found
Was study protected against contamination Low risk Data from the control group (non‐assessment control) were not shared with the treatment nurses
Selective reporting (reporting bias) Low risk Unclear whether selective reporting took place

Rubenstein 1995.

Study characteristics
Methods Randomised trial, USA
Participants 557 primary care patients
Interventions 1. Computer‐generated feedback about functional pt status; patient reported (complaint and problem specific resource) and management suggestion. 2. brief interactive educational sessions for physicians.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Beth Israel‐UCLA Functional Status Questionnaire (FSQ), CAGE alcoholism screening questionnaire
Constructs measured: Symptoms, Functioning, Other (chief complaint)
Instrument categories/domains: Generic, Domain/Disease specific (alcoholism)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered and interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 2 times: Baseline and 6 months
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: functional status (FSQ), management plans, physician attitude (scale 1‐5)
Notes The study was funded by Robert Wood Johnson Foundation. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Stratified randomisation was used
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Adjusted for analysis
Baseline characteristics similar Low risk Statistical differences were found for all variables
Incomplete outcome data (attrition bias)
All outcomes High risk A total of 190 of 309 patients {61%) in the experimental group and 152 of 248 (61%) in the control group completed both baseline and six‐month postintervention functional status
surveys. No mention of how missing data would be handled.
Was study protected against contamination High risk Clinicians were allocated within a clinic or clinics and it is possible that communication between intervention and control professionals could have occurred
Selective reporting (reporting bias) Low risk The outcomes reported in the methods section were presented in the results section

Ruland 2003.

Study characteristics
Methods Clinician level randomised into two groups, USA
Participants 59 patients undergoing treatment for various cancer diagnoses; 27 experiment group, 25 control group
Interventions Participant reported symptoms and preferences prior to their consultation and in experimental group presented to clinician.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: CHOICEs (to assess health problems, symptoms, and preferences)
Constructs measured: Health related Quality of Life, Symptoms, Functioning, Other (priorities for treatment/care)
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic and paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores
Outcomes Main outcome: patient satisfaction (Patient Satisfaction with Decision Making)
Other outcome: ease of use
Notes The study was funded by Hitchcock Foundation (grant # 250‐442). The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation was done at clinician level not patient level so the clinician kept the same consultation style
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Tables 1 and 3 were similar
Baseline characteristics similar Low risk Similar numbers in each roup although the mean age was only reported for the whole sample
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There was only one time point
Was study protected against contamination Low risk the researcher was on site helping the control and experimental group and the clinicians were randomised so there is a low likelihood of contamination
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Ruland 2010.

Study characteristics
Methods Randomised trial, Norway
Participants 145 patients starting treatment for leukaemia or lymphoma
Interventions (Computer‐assisted) Interactive tailored patient assessment (ITPA) tool.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Interactive tailored patient assessment (ITPA) tool
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Each visit for up to a year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcomes: number of patient symptoms and problems addressed by physicians and nurses in patient records, changes in symptom distress, changes in patients' need for symptom management support over time
Notes The study was funded by Norwegian Research Council (grant #154739/320).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk computer‐generated minimisation algorithm used to randomise clinicians
Allocation concealment (selection bias) Low risk Because the study’s intervention was to provide nurses and physicians with assessment summaries of patient symptoms, problems, and concerns, a patient’s group assignment
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 1 presented similar baseline outcome measurements for both groups
Baseline characteristics similar Low risk Table 1 presented similar characteristics of patients in both groups
Incomplete outcome data (attrition bias)
All outcomes Low risk Charts were assessed by a blinded rater for outcomes
Was study protected against contamination Unclear risk All patients interacted with a researcher and data collection was conducted with them
Selective reporting (reporting bias) Unclear risk All measures mentioned in the methods section were reported in the results

Saitz 2003.

Study characteristics
Methods Randomised trial, USA
Participants 301 patients described as hazardous drinkers.
Interventions Feedback and specific recommendations about management.
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: CAGE alcoholism questionnaire
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (alcoholism)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Management recommendations
Outcomes Main outcomes: occurrence of physician discussions regarding alcohol problems, decrease in patient drinking (drinks per drinking day)
Notes The study was funded by Robert Wood Johnson Foundation (grant 031489), Princeton, New Jersey. The study enrolled patients between February 1998 and August 1999. The authors declared no conflicts of interest.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk No blinding
Blinding of outcome assessment (detection bias)
All outcomes High risk No blinding
Baseline outcome measurements similar Low risk Adjusted for analysis
Baseline characteristics similar Low risk No statistically significant difference found
Incomplete outcome data (attrition bias)
All outcomes High risk 102 out of 146 (39 dropouts) in intervention group‐ 134 out of 162 (28 dropouts)
Was study protected against contamination High risk Cluster‐randomised trial at the physician level because randomisation at the patient level would have risked contamination.
Selective reporting (reporting bias) Low risk None reported

Sandheimer 2020.

Study characteristics
Methods Cluster‐randomised  trial, Sweden. 
Participants 271 patients attending primary care clinics. 
Interventions PRO assessment using the Work Stress Questionnaire and clinician feedback versus usual care. 
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Work stress questionnaire (WSQ)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (work related stress)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Primary outcome: perceived stress.
Secondary outcomes: healthcare use.
Notes The study was funded by the Swedish Research Council for Health, Working Life and Welfare (FORTE). The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random generation. 
Allocation concealment (selection bias) Low risk Random allocation. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by the nature of the intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Low risk Main outcome is objective and obtained from health records.
Baseline outcome measurements similar Unclear risk Not enough information. 
Baseline characteristics similar Low risk Similar between groups. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Higher proportion of patient assigned to the control group declined to participate (10% versus 2%). 
Was study protected against contamination High risk Clinicans were the cluster and could provide care to patient in either group. 
Selective reporting (reporting bias) Unclear risk There are several publications associated with this trial; it is not made clear that some refer to secondary outcomes.

Santana 2010.

Study characteristics
Methods Randomised trial, USA
Participants 213 outpatient lung transplant patients in routine clinical care
Interventions Feedback to cliniicians (of Health utilities Index Mark 2 and 3)
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Every clinic visit for up to 6 months
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcomes: issues discussed, changes in clinical management (medication changes, number of referrals and test ordered), EQ‐5D
Notes The study was funded by Institute of Health Economics (IHE), Edmonton, AB, Canada. The study period was not reported. The authors reported that David Feeny has a proprietary interest in Health Utilities Incorporated, Dundas, Ontario, Canada. HUInc. distributes copyrighted Health Utilities Index (HUI) materials and provides methodological advice on the use of HUI.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Quote: "The randomization scheme was generated by using the Web site Randomization.com"
Allocation concealment (selection bias) Low risk Computer conducted the assignment and the patients were unaware of assignment
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 2 presented similar baseline outcome measurements for both groups
Baseline characteristics similar Low risk Table 1 presented similar characteristics of patients in both groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk An intention to treat analysis where missing values were imputed using the last value carried forward
Was study protected against contamination Unclear risk Unlikely as the patients completed the touch screen questionnaire and went in the consultation immediately
Selective reporting (reporting bias) Unclear risk All measures mentioned in the methods section were reported in the results

Scheidt 2012.

Study characteristics
Methods Cluster‐randomised controlled trial, Germany
Participants Outpatient psychotherapy patients
Interventions Therapist decisions based on feedback. 400 psychotherapists in private practice participated in a cluster‐randomised comparison study, 200 were allocated to the intervention group, and 200 to the control group.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Brief Symptom Inventory (BSI), Inventar für Interpersonale Probleme (IIP‐D), Beck Depressionsinventar (BDI), Fragebogen zu Körperbezogenen Ängsten, Kognitionen und Vermeidung (AKV), Hamburger Zwangsinventar (HZI), Eating Disorder Inventory (EDI), Screening für Somatoforme Störungen (SOMS), Helping Alliance Questionnaire (HAQ), 12‐Item Short Form Survey (SF‐12)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic, Paper
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 3 points in time, one at the beginning of treatment, one at the end of treatment and one at follow‐up 12 months post‐treatment
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: Brief Symptom Inventory (BSI), Inventar für Interpersonale Probleme (IIP‐D)
Other outcomes: depression(BDI), Fragebogen zu Körperbezogenen Ängsten, Kognitionen und Vermeidung (AKV), Hamburger Zwangsinventar (HZI), Eating Disorder Inventory (EDI), Screening für Somatoforme Störungen (SOMS), Helping Alliance Questionnaire (HAQ), SF‐12
Notes The study was funded by Techniker Krankenkasse health insurance programme. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Drawing lots
Allocation concealment (selection bias) High risk Therpists aware of allocation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Unclear
Baseline characteristics similar Unclear risk Unclear
Incomplete outcome data (attrition bias)
All outcomes High risk High rates of attrition, not adequately addressed
Was study protected against contamination Unclear risk Unclear
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Schmidt 2006.

Study characteristics
Methods Randomised trial, UK
Participants 61 patients with eating disorder who received 14 sessions of cognitive behavioural guided self‐care
Interventions Adding personalised feedback on current physical and psychological status, risk and problems, and variables facilitating or hindering change.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: TREAT‐EAT, Short Evaluation of Eating Disorders (SEED), Hospital Anxiety and Depression Scale (HADS)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered and interviewer‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic, Paper
How often information fed back: 14 sessions (10 weekly, 4 monthly booster sessions)
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Management recommendations
Outcomes Main outcome: patient‐rated measures of bulimic symptoms at the end of treatment and at 6‐month follow‐up.
Notes Funding source not disclosed. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The randomisation sequence was generated by an independent investigator using a random numbers table.
Allocation concealment (selection bias) Low risk Allocation sequences were contained in sequentially numbered, sealed opaque envelopes that were opened by the clinical assessor after the initial assessment during which eligibility and willingness to participate had been obtained.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 1 presented similar baseline outcme measurements for both groups
Baseline characteristics similar Low risk Table 1 presented similar characteristics of patients in both groups
Incomplete outcome data (attrition bias)
All outcomes Low risk Missing data was dealt with using bootstrapping methods
Was study protected against contamination Unclear risk Unclear as to whether the patients knew which group they were in
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Schottke 2019.

Study characteristics
Methods Randomised trial, Germany. 
Participants 230 adult patients receiving psychotherapy. 
Interventions Psychotherapy progress monitoring with feedback. 
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: FEP‐2, OQ‐30, Beck Depression Inventory (BDI‐2), Symptom Checklist‐90 (SCL‐90‐R), Patient Health Questionnaire (PHQ‐D)
Constructs measured: Health related Quality of Life, Symptoms
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: At the beginning of each calendar quarter
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance
 
Outcomes Primary outcome: impairment measured using the Outcomes Questionnaire 30.
Notes The funding source was not reported. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Not enough information to make a judgement. 
Allocation concealment (selection bias) Unclear risk Not enough information to make a judgement. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes High risk Self‐reported outcome from participants who were aware of group allocation. 
Baseline outcome measurements similar Low risk Baseline outcome measurements are the same. 
Baseline characteristics similar Low risk Baseline characteristics are similar.
Incomplete outcome data (attrition bias)
All outcomes High risk 1911 patients randomised but only baseline data collected for 1124 participants.
Was study protected against contamination Unclear risk Unclear if stratification meant cluster design. 
Selective reporting (reporting bias) Low risk Pre‐registration information provided. 

Schriger 2001.

Study characteristics
Methods Randomised trial, USA
Participants 95 Patients who presented at the EDept at daytime with diffuse somatic complaints not mandating acute care or somatically diagnosed.
Interventions Prior to seeing the physician. computerized PRIME‐MD to screen psychiatric domains.
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: PRIME‐MD
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: diagnosis by the PRIME‐MD software leading to psychiatric consultation or referral / treatment.
Notes The study was funded by Pfizer Corporation and MedAmerica corporation (unrestricted gifts). The study ran from March 1998 through August 1999. Conflicts of interest were not reported.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk PRIME‐MD was programmed to create random assignments
Allocation concealment (selection bias) Low risk Patients were not informed of their assignment. Physicians caring for patients in the report group were provided with the results of the computer interview
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 2 presented similar outcome measurements
Baseline characteristics similar Low risk Baseline characteristics between the groups were similar
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Although the figure reported missing charts ‐ there was no discussion on how incomplete data was managed
Was study protected against contamination Unclear risk Unclear as to whether there was contamination
Selective reporting (reporting bias) Low risk All measures mentioned in the methods section were reported in the results

Schriger 2005.

Study characteristics
Methods Randomised trial, USA
Participants 190 nonspecific complaints potentially associated with occult psychiatric illness (e,g, long‐standing headache, abdominal or back pain), filling out the Primary Care Evaluation of Mental Disorders
Interventions Informing physicians of the PRIME‐MD results
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: PRIME‐MD
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once 
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: influence of PRIME‐MD on treatment: a psychiatric diagnosis, consultation, or referral from the emergency physician
Notes The study was funded by Pfizer Corporation (unrestricted gift). The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random number function used in STATA
Allocation concealment (selection bias) Unclear risk Unclear as to whether the patients knew of their allocation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Similar results of baseline outcomes in Table 2
Baseline characteristics similar Low risk Similar characteristics in both groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how incomplete data was managed although it seemed a one off data collection
Was study protected against contamination Unclear risk No mention of potential contamination ‐ all patients were attending ED departments
Selective reporting (reporting bias) Low risk All measures mentioned in the methods section were reported in the results

Shapiro 1987.

Study characteristics
Methods Randomised trial, USA
Participants Adult patients that filled out the general health questionnaire (GHQ), home interview and DIS
Interventions Feedback of GHQ or DIS results
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: General Health Questionnaire (GHQ)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: effect of feedback information on detection and management of psychiatric disorders
Notes The study was funded by National Institute of Mental health, USA (contract 278‐81‐0025). The study was run from 1st December 1981 until 31st March 1982. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk No mention of how randomisation was done
Allocation concealment (selection bias) Unclear risk No mention of who knew about the allocations
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline measurements were similar between groups
Baseline characteristics similar Low risk Characteristics of both groups similar
Incomplete outcome data (attrition bias)
All outcomes Unclear risk no mention of how missing data was managed
Was study protected against contamination Unclear risk Not sure whether there was contamination
Selective reporting (reporting bias) Low risk none apparent

Simon 2012.

Study characteristics
Methods Cluster Randomised trial, USA
Participants 370 patients at outpatient psychotherapy clinic.
Interventions The primary purpose of this study was to investigate the effects of progress feedback interventions on (not on track) NOT patients’ outcomes in a psychiatric setting, using the OQ‐45 alert system, and the Clinical Support Tool intervention.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Questionnaire (OQ‐45)
Constructs measured: Symptoms, Functioning, Other (Therapeutic Alliance, Social Support, Motivation for Therapy, and Life Events)
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper and electronic
How often information fed back: Each session 
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Management recommendations
Outcomes Main outcomes: OQ‐45, ASC‐40
Notes The study was funded by the Funded by the Susa Young Gates University Professorship awarded to Michael J. Lambert. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Block randomisation design using therapists as blocking variable.
Allocation concealment (selection bias) Unclear risk No mention how randomisation happened.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline outcomes were balanced between therapists and between intervention/control groups.
Baseline characteristics similar High risk No characteristics presented.
Incomplete outcome data (attrition bias)
All outcomes High risk High rates of attrition, not adequately addressed
Was study protected against contamination Unclear risk No discussion of controls in methods section ‐ so unclear as to if there was a possibility of cross contamination.
Selective reporting (reporting bias) Low risk All outcomes were presented in results.

Simons 2015.

Study characteristics
Methods Randomised trial, the Netherlands
Participants 102 depressed out‐patients receiving psychopharmacological treatment
Interventions Three arms: (i) an experimental group receiving six weeks of experience sampling method (ESM) self‐monitoring combined with weekly feedback sessions, (ii) a pseudo‐experimental group participating in six weeks of ESM self‐monitoring without feedback, and (iii) a control group (treatment as usual only).
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Experience sampling method (ESM) a validated, structured diary technique consisting of repeated in‐the‐moment micro‐measurements of affect and context
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 6 feedback sessions over 6 weeks
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: empowerment (Dutch Empowerment questionnaire, economic evaluation, depression (HDRS), quality adjusted life years (QALYs)
Notes The study was funded by the Dutch Health Research Council (ZON‐MW) (grants nos. 171001002 and 91501003). The study recruited between 2010 and February 2012. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Stratified randomisation method.
Allocation concealment (selection bias) Low risk Allocation took place using opaque, sealed, sequentially numbered envelopes (prepared by an independent research coordinator) with a number sequence produced by an electronic random sequence generator (http://www.random.org), in blocks of six.
Blinding of participants and personnel (performance bias)
All outcomes High risk Owing to the nature of the intervention, it was not possible to blind participants.
Blinding of outcome assessment (detection bias)
All outcomes High risk Interviewers were not blind to the patients’ treatment allocation due to nature of the intervention.
Baseline outcome measurements similar Low risk There was no significant difference in baseline HDRS depressive symptoms between patients who fully completed the intervention period and those who did not.
Baseline characteristics similar Low risk Baseline characteristics of the study and control providers are reported and similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk Of the 69 patients allocated to the experimental or pseudo‐experimental group, 59 (85.5%) completed the six‐week intervention period; Pre‐intervention empowerment scores were available for
respectively 32 of 33 (control), 35 of 36 (pseudo‐experimental), and 33 of 33 (experimental) participants. Post‐intervention empowerment scores were available for 30 (control), 32 (pseudo‐ experimental), and 27 (experimental) participants. Two participants had incomplete assessments of empowerment (front page only, i.e. 15 items), their total scores (mean item score 40) were retained in the analyses.
Was study protected against contamination High risk As the psychologist or psychiatrist performing the interview were aware that the patient was a participant in the study.
Selective reporting (reporting bias) Low risk None apparent.

Slade 2006a.

Study characteristics
Methods Invididual randomised controlled trial, UK
Participants Patients attending one of eight Community Mental Health Teams in Croydon, South London, for at least 3 months, and were aged between 18 and 64 inclusive.
Interventions The hypothesis tested was that pre‐morbid IQ impacts on the response to the intervention of routine outcome assessment.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Camberwell Assessment of Need Short Appraisal Schedule patient version CANSAS‐P, Manchester Short Assessment (MANSA), Helping Alliance Scale patient version (HAS‐P)     
Constructs measured: Health related Quality of Life, Symptoms, Functioning, Other (patient’s met and unmet needs)
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Electronic, Paper
How often information fed back: Monthly
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores
Outcomes Main outcomes: patient‐rated unmet need (CANSAS‐P) and quality of life (MANSA)
Notes The study was funded by the Dutch Health Research Council (ZON‐MW (grants nos. 171,001,002 and 91,501,003). The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Stratified random sampling was used for sample selection using STATA
Allocation concealment (selection bias) Unclear risk Unclear as to whether the patients knew of their allocation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No sig differences between groups for outcome measurements
Baseline characteristics similar Low risk More male and white participants n the intervention group
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how incomplete data was managed although some explanation for dropouts were discussed
Was study protected against contamination Unclear risk Patients and staff were posted questionnaires ‐ but unsure whether there was contamination
Selective reporting (reporting bias) Low risk None apparent ‐ all the measurements mentioned in methods reported

Slade 2006b.

Study characteristics
Methods As Slade 2006a
Participants As Slade 2006a
Interventions As Slade 2006a
Outcomes As Slade 2006a
Notes As Slade 2006a
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Following baseline assessment, patients were allocated by an independent statistician who was masked to the results of the baseline assessment.
Allocation concealment (selection bias) High risk Staff and patients were aware of their allocation status
Blinding of participants and personnel (performance bias)
All outcomes High risk Staff and patients were aware of their allocation status
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline measurements were similar between groups
Baseline characteristics similar Low risk Characteristics of both groups similar (age, gender, education, diagnosis)
Incomplete outcome data (attrition bias)
All outcomes Low risk Missing values imputed from baseline data
Was study protected against contamination High risk Quote: “In the control group, 46 (78%) of the 59 patients had a member of staff who also had an intervention‐group patient, indicating that contamination was possible between the two groups.”
Selective reporting (reporting bias) Low risk Primary and secondary outcomes reported in the results

Strasser 2016.

Study characteristics
Methods Randomised trial, Switzerland
Participants Patients with incurable, symptomatic, solid tumours, who received new outpatient chemotherapy with palliative intention, were eligible. In 8 centres, 82 oncologists treated 264 patients (median 66 years; overall survival intervention 6.3, control 5.4 months) with various tumours.
Interventions Real‐time monitoring of both symptoms and clinical syndromes to improve symptom management by oncologists and patient outcomes.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Edmonton Symptom Assessment System (ESAS), European Organisation for Research and Treatment of Cancer (EORTC QLQ‐C30)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Weekly during oncology outpatient visits 
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcome: Global Quality of Life (G‐QoL), measured as the difference in G‐QoL between baseline and after last study visit (6 weeks), QoL (EORTC‐QLQ‐C30)
Notes This work is supported by a scientific grant from Swiss Cancer League/Swiss Cancer Research foundation (formerly Oncosuisse, OSC 01696‐04‐2005), the Swiss State Secretariat for Education, Research and Innovation (SERI), unrestricted grants from Sanofi‐ Aventis and Amgen (no grant number) and an EURO IMPACT— Marie Curie PhD training grant for DB. The study was run from February 2007 until January 2012. The authors declared no conflicts of interest.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Stratified randomisation procedure.
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Significant differences only in baseline G‐QoL
Baseline characteristics similar High risk Baseline characteristics of the study and control providers are reported but dissimilar.
Incomplete outcome data (attrition bias)
All outcomes High risk For the primary analysis, 102 (39%) patients were included. Main reasons for non‐inclusion were attrition (missing QoL measurement at week 6, 78 patients), <4 physician visits (44 patients) and insufficient cognitive function (58 patients).
Was study protected against contamination Low risk Cluster design
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section.

Stuck 2015.

Study characteristics
Methods Randomised trial, Switzerland
Participants Individuals aged 65 years or older registered with one of 19 primary care physician (PCP) practices in a mixed rural and urban area in Switzerland. A total of 4,115 patients aged 65 years and older were assessed for eligibility, 3,493 were eligible, and 2,284 were included in the study and underwent randomisation. In all, 874 participants were allocated to the intervention group, and 1,410 to the control group.
Interventions The intervention consisted of HRA based on self‐administered questionnaires and individualised computer‐generated feedback reports, combined with nurse and PCP counselling over a 2‐y period.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Health Risk Assessment for Older Persons (HRA‐O)
Constructs measured: Functioning
Instrument categories/domains: Domain/Disease specific (geriatric health)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Twice (baseline and 1 year)
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Management recommendations
Outcomes Main outcomes: health behaviours, preventive care use (2 years), all‐cause mortality (8 years)
Notes The study was supported by a European Union (QLK6‐CT‐1999‐02205) (AS SI CS); the Federal Education and Science Ministry (Bern, Switzerland, BBW 990311.1) (AS); the Swiss National Science Foundation (32‐52804.97) (AS); the Swiss National Science Foundation Swiss National Cohort (projects 0071, 3347CO‐108806, 33CS30_134273 and 33CS30_148415) (ME); the Swiss Foundation for Health Promotion (Project No. 398) (AS); the Velux Foundation (AS); the Langley Research Institute (JCB). The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated method.
Allocation concealment (selection bias) Low risk Group allocation.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk There were no statistically significant differences between the intervention and control groups for self‐reported dependency in basic activities of daily living or for nursing home admissions.
Baseline characteristics similar Low risk There were no significant differences between the intervention and control groups in any of the baseline characteristics.
Incomplete outcome data (attrition bias)
All outcomes Low risk 94% intervention group and 93% control group of the participants completed the outcome questionnaire at 2 year follow‐up.
Was study protected against contamination High risk Primary care physicians received training and gained experience in preventive care, which likely resulted in improved care for individuals in the control group.
Selective reporting (reporting bias) Low risk None apparent.

Subramanian 2004.

Study characteristics
Methods Randomised trial, USA
Participants 720 heart failure patients
Interventions Care suggestions, generated with electronic medical record data (also in control group) and symptom data obtained from pre visit questionnaires (only intervention group).
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Kansas City Cardiomyopathy Questionnaire (KCCQ
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (heart failure)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered, Interviewer administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Each scheduled primary care visit over a year
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Management recommendations
Outcomes Main outcomes: physician treatment decisions, QoL, satisfaction (NYAH, SF‐36 (rash), McMaster, Chronic Heart Failure Questionnaire’s five scales, patient satisfaction with doctor, Medical Outcomes Study Visit‐Specific Questionnaire)
Notes The study was supported by Department of Veterans Affairs Health Services Research and Development Service (CPG 97‐001‐B and REA 01‐098); Department of Veterans Affairs Health Services Research and Career Development Program. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Coin flip was used to randomise clinicians
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Baseline outcome measurements were not presented
Baseline characteristics similar Low risk The only significant baseline difference between intervention and control patients was NYHA class, for which all comparative analyses were adjusted
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how incomplete data was handled
Was study protected against contamination Unclear risk Unclear as patients were required to post back questionnaires, clinicians knew their allocation
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Thomas 2016.

Study characteristics
Methods Randomised trial, Canada
Participants 54 families
Interventions This trial’s purpose is to: (1) compare identification rates of developmental problems by GPs/family physicians using four evidence‐based tools with non‐evidence based screening, and (2) ascertain whether the four tools can be completed in 10‐min pre‐visit on a computer.
 
Intervention features
Single complex feedback (multiple PROMs at a single time) 
PROM(s) used as intervention: Parents’ Evaluation of Developmental Status (PEDS), the PEDS‐Developmental Milestones (PEDS‐DM), the Modified Checklist for Autism in Toddlers (M‐CHAT) and PHQ9 (maternal depression)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (child development, autism, mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores
Outcomes Main outcomes: Parents’ Evaluation of Developmental Status (PEDS), PEDS‐Developmental Milestones (PEDS‐DM), Modified Checklist for Autism in Toddlers (M‐CHAT), maternal depression (PHQ9).
Notes Funding not disclosed. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated method.
Allocation concealment (selection bias) Low risk Allocation was done by research assistant by computer to ‘usual care’ or evidence‐based screening.
Blinding of participants and personnel (performance bias)
All outcomes High risk Neither the participants nor family physicians could be blinded due to the nature of the intervention.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Not clearly reported.
Baseline characteristics similar High risk The usual care and evidence based care groups were very similar in gestational age at birth and age at screening (17.84 and 17.59 months). They differed markedly in female gender (40%, 62%)
Incomplete outcome data (attrition bias)
All outcomes High risk In the ‘usual care’ group four (16%) and in the evidence‐based tools group 18 (62%) were identified as having a possible developmental problem.
Was study protected against contamination High risk As the physician or research associate were aware that the patient was a participant in the study.
Selective reporting (reporting bias) Low risk All relevant outcomes in the methods section are reported in the results section.

Tolstrup 2020.

Study characteristics
Methods Randomised trial, Denmark. 
Participants 146 patients with multiple myeloma receiving immunotherapy. 
Interventions Symptom report using the PRO‐CTCAE with clinician feedback versus usual care. 
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Patient‐Reported Outcomes version of the Common Terminology Criteria for Adverse Event (PRO‐CTCAE) 
Constructs measured: Symptoms
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Unclear
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: Patients reported symptoms weekly but not clear if they were also fed back weekly
Who information fed back to: Clinicians
Information fed back: Unclear
Outcomes Main outcome: number of Grade 3 or 4 adverse events assessed by the Common Terminology for Cancer Adverse Events.
Notes The study was funded by the Danish Cancer Society.  The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information. 
Allocation concealment (selection bias) Unclear risk Insufficient information. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Insufficient information. 
Baseline outcome measurements similar Low risk Baseline outcome measurements are similar.                                                                                                                                                                                                                                                                                                                                                                                                                                                                               
Baseline characteristics similar Unclear risk Baseline characteristics are similar. Statistical tests conducted. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Insufficient information. 
Was study protected against contamination High risk Single‐centre study. Clinicians can treat patients in intervention and control group. 
Selective reporting (reporting bias) Low risk Pre‐publication information available. 

Trowbridge 1997.

Study characteristics
Methods Randomised trial, USA
Participants 320 cancer patients with oncological pain
Interventions Provide pain assessment forms to oncologist
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Pain Management Index (PMI)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Main outcomes: prescriptions, incidence of pain in follow‐up
Notes The study was supported by 1995 William Campbell Felch CME Research Award. The study ran from 5th July 1995 until 30th September 1995. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk No mention of how randomisation was done
Allocation concealment (selection bias) Unclear risk Unsure as to whether patients knew, but clinicians in the intervention group were required to look at their patients' charts
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Similar outcomes at baseline between the groups
Baseline characteristics similar Low risk Similar characteristics although age ranges were different (means were similar)
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how incomplete data was managed ‐ only differences between groups were reported
Was study protected against contamination Unclear risk Unsure whether any contamination was possible
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Trudeau 2001.

Study characteristics
Methods Randomised trial, USA
Participants 127 clients at mental health centre in rural area.
Interventions Outcomes Questionnaire (OQ), a monitoring system measuring mental health symptoms and functioning.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcomes Questionnaire (OQ)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 3 times
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: self‐esteem (Rosenberg self esteem scale ‐ RSE), mental heath (OQ, SF‐36)
Notes Funding source not reported. The study period was not reported. Conflicts of interest were not reported.  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Clients were randomly assigned by case number to either the control condition for case numbers ending in 3, 6 or 9, or one of the feedback conditions
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk Quasi‐experimental design of the study. quote: ''[...] even though randomization of therapists to the feedback conditions and clients to the control and experimental conditions was performed, the cells were unbalanced, and there was a significant difference between the assigned treatment groups on the initial measure of mental health status, the Total Mental Health composite.''
Baseline characteristics similar Low risk No sig differences in characteristics
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Those participants who dropped out were compared with those in the study and no sig differences were found
Was study protected against contamination Unclear risk Unclear as to whether the study was protected from contamination
Selective reporting (reporting bias) Low risk No evidence of selective reporting

Valles 2017.

Study characteristics
Methods Randomised trial, Spain. 
Participants 136 paediatric patients with Type 1 diabetes mellitus. 
Interventions Health‐related quality of life assessed by the KIDSCREEN‐27 with feedback to clinician vs usual care. 
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: KIDSCREEN‐27
Constructs measured: Health related Quality of Life
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: Quarterly
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
Outcomes Primary outcome: change in health‐related quality of life. 
Notes Funded partially by Spanish Ministry of Health. The study ran from July 2014 until December 2014. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation tool not described. 
Allocation concealment (selection bias) Unclear risk Allocation method not reported. 
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Insufficient information. 
Baseline outcome measurements similar High risk Baseline outcome measurements the same
Baseline characteristics similar High risk Statistically significant differences in both family affluence and reported adherence between both groups. 
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Insufficient information. 
Was study protected against contamination Unclear risk Randomised at the level of the clinician but unclear if clinicians worked at different sites. 
Selective reporting (reporting bias) Unclear risk Pre‐registration information not available. 

van der Hout 2020.

Study characteristics
Methods Randomised trial, the Netherlands. 
Participants 625 cancer survivors not on active treatment. 
Interventions PRO assessment and feedback to patients using the Oncokompass tool versus usual care. 
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Oncokompas (an eHealth self‐management application)
 
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic
How often information fed back: 3 and 6 months
Who information fed back to: Patients (In case of seriously elevated well‐being risks, professional health‐care options are offered). 
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Primary outcome: patient activation (knowledge, skills, and confidence for self‐management) at 3‐ and 6‐month follow‐up. 
Secondary outcomes: health‐related quality of life (including tumour‐specific symptoms within the tumour groups), mental adjustment to cancer, supportive care needs, self‐efficacy, personal control,  perceived efficacy in patient–physician interaction, cost‐effectiveness.
Notes Funded by the Dutch Cancer Society. The study period was not reported. Conflicts of interest were reported as: IMV‐dL has received grants from the Dutch Cancer Society (KWF Kankerbestrijding), Pink Ribbon, the Netherlands Organization for Health Research and Development (ZonMW), the SAG Foundation–Zilveren Kruis Health Care Assurance Company, Danone Ecofund–Nutricia, Red‐kite (distributor of eHealth tools), and
Bristol‐Myers Squibb, during the conduct of this study. CRL has received personal fees for global advisory board participation from MSD, during the conduct of this study. All other authors have no conflicts of interest.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Insufficient information.
Allocation concealment (selection bias) Unclear risk Insufficient information.
Blinding of participants and personnel (performance bias)
All outcomes High risk Unblinded by nature of intervention. 
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Insufficient information. 
Baseline outcome measurements similar Low risk Baseline outcome measurements are the same. 
Baseline characteristics similar Low risk Baseline characteristics are similar.
Incomplete outcome data (attrition bias)
All outcomes Low risk Intention‐to‐treat analysis. 
Was study protected against contamination Low risk Feedback to individual patients. 
Selective reporting (reporting bias) Low risk Pre‐registration information available. 

van Dijk‐de Vries 2015.

Study characteristics
Methods Pragmatic cluster‐randomised trial, the Netherlands
Participants 40 practice nurses specialised in diabetes mellitus in general practitioner practices (19 intervention versus 21 control). 264 patients (117 intervention, 147 usual care; 46% female patients, average age 65years).
Interventions Biopsychosocial self‐management support (SMS)
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Daily Functioning Thermometer (DFT), Distress Screener (DS), Four‐Dimensional Symptom Questionnaire (4DSQ)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health ‐ emotional distress, physical health ‐ diabetes)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Both self‐administered and interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 3 times (baseline, 4 months, and 12 months)
Who information fed back to: Clinicians, Patients
Information fed back: Scores
 
Outcomes Main outcome: dichotomised Visual Analog Scale on perceived effect of diabetes on daily functioning
Other outcomes: patients’ diabetes‐related distress (PAID), quality of life (SF12), autonomy and participation (IPA), self‐efficacy (GSES‐12), self‐ management (PIH)
Notes The study was supported by the Dutch Diabetes Research Foundation (Diabetes Fonds) (grant# 2010.13.1366). The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random number seed computer program to assign PNs to study arms, assuming an allocation ratio of 1:1.
Allocation concealment (selection bias) Unclear risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Patients of both groups were comparable for the primary and secondary outcomes at the baseline measurement except for the sum score on the PIH scale.
Baseline characteristics similar Low risk Table 1 had similar baseline characteristics for both groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Missing items were imputed using patients’ individual mean score if at least 50% of items were available.
Was study protected against contamination Low risk Risk of contamination was considered by the research team and practice was done to avoid it
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

van Os 2003.

Study characteristics
Methods Pragmatic randomised trial, international European study (the Netherlends, UK, Italy, Spain, Denmark, Germany, France)
Participants 134 patients with clinical diagnosis of schizophrenia or schizoaffective disorder 976 vs 67). Mean age 40.8 years, 61% women.
Interventions Two‐Way Communication Checklist (2‐COM).
 
Intervention features
Single simple feedback (one PROM at a single time)
PROM(s) used as intervention: Two‐Way Communication Checklist (2‐COM)
Constructs measured: Symptoms, Functioning, Other (patient‐clinician communication)
Instrument categories/domains: Domain/Disease specific (patient‐clinician communication)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores
Outcomes Main outcomes: patient‐reported quality of patient–clinician communication (self‐developed question: "How easy did you find it to discuss the problems and worries you have with your doctor at today’s clinic appointment?" on 4‐point scale), physician‐reported change in behaviour (dichotomous question)
Notes The study was supported by AstraZeneca (unrestricted grant). The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Patients were randomised centrally by an independent, non‐investigator agency using a predetermined random sequence
Allocation concealment (selection bias) Unclear risk No mention of who knew about the allocations
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Similar GAF scores between the groups
Baseline characteristics similar Low risk Similar patient characteristics between the groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk There is no discussion around missing data
Was study protected against contamination Unclear risk Unsure about potential contamination between groups
Selective reporting (reporting bias) Unclear risk None apparent

Velikova 2004.

Study characteristics
Methods Randomised trial, UK
Participants 286 cancer patients visiting the Leeds cancer centre. mean age participants 54.9years. 73% female.
Interventions Use of health‐related quality‐of‐life (HRQL) data in oncology practice.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: European Organisation for Research and Treatment of Cancer (EORTC QLQ‐C30), Hospital Anxiety and Depression Scale (HADS)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health, cancer)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Self‐administered, Interviewer‐administered
Format of PROMs questionnaire(s): Electronic, Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Before every encounter for approximately 6 months
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: HRQOL over time using FACT, physician‐patient communication, clinical management measured by content analysis of audiotaped‐recorded encounters.
Notes The study was supported by Cancer Research UK; National Lotteries Charities Board; National Health Service Research and Development. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk The random assignment was stratified by site of cancer in random permuted blocks. Random assignment was carried out by telephone, by the Administrative Office at Cancer Research UK Centre
Allocation concealment (selection bias) Unclear risk No mention of who knew about the allocations
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk All baseline assessments were of similar levels
Baseline characteristics similar Low risk All baseline characteristics were similar between the groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Intention‐to‐treat analysis
Was study protected against contamination Unclear risk Unsure as to whether contamination could be possible
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Wagner 1997.

Study characteristics
Methods Randomised trial, USA
Participants 210 epilepsy patients visiting an outpatient neurology clinic.
Interventions Optically scanned versions of the SF‐36 were presented to physicians in the intervention group before their encounter with the patients.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: MOS SF‐36 Health Survey (SF‐36)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Each visit
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance
Outcomes Main outcomes: physician's perceptions on the usefulness of SF‐36 assessment, patient perceptions about their satisfaction with care.
Notes The study was supported by Cancer Research UK; National Lotteries Charities Board; Department of Health. The study ran between January 1994 and June 1994. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Patients were randomly assigned to two groups using a random number table
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk No blinding
Blinding of outcome assessment (detection bias)
All outcomes High risk No blinding
Baseline outcome measurements similar Low risk No statistically significant differences were found for the outcomes
Baseline characteristics similar High risk Significant differences were found for most of the variables
Incomplete outcome data (attrition bias)
All outcomes Low risk Low number of dropouts
Was study protected against contamination High risk Clinicians were allocated within a clinic or clinics and it is possible that communication between intervention and control professionals could have occurred
Selective reporting (reporting bias) Low risk None reported

Wasson 1992.

Study characteristics
Methods Randomised trial, USA
Participants 56 clinicians were randomised (29 intervention vs 27 control).
Interventions Self‐developed health assessment form
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: Dartmouth COOP Charts
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: effect of short‐term health‐assessment on the process of care (self‐developed clinician form) and patients' satisfaction (self‐developed 10‐item patient satisfaction questionnaire)
Notes The study was supported by the Epilepsy Foundation of America. The study period was not reported. Conflicts of interest were not reported. 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Clinicians were randomised by blocks
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline data on Table 1 were similar between chart and control groups
Baseline characteristics similar Low risk Little or no differences between the groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how missing data were handled
Was study protected against contamination Unclear risk No mention about potential contamination
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Wheelock 2015.

Study characteristics
Methods Randomised trial, USA
Participants 102 patients with TNM stage I to III breast cancer, average age 53yrs, average time from diagnosis 3.2 years
Interventions SIS.NET (System for Individualized Survivorship Care, based on patient self‐reported data, with review by nurse practitioners, targeted Education, and Triage) vs usual care.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Web based application SIS.NET (System for Individualized Survivorship Care, based on patient self‐reported data, with review by Nurse practitioners, targeted Education, and Triage) including ‐ 36‐Item Short Form Survey (SF‐36), Personal Health Questionnaire Depression Scale (PHQ‐8), (modified questions from) Memorial Symptom Assessment Scale
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health, cancer)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic, Paper
How often information fed back: Patients in the SIS.NET arm were scheduled for 3 breast cancer‐related clinic visits with the providers of their choice (breast surgeon, medical oncologist, and radiation oncologist) during the 18‐month duration of the study, with additional appointments scheduled later as needed. The SIS.NET intervention also included the integration of online health questionnaires at 3‐month intervals between clinic visits evaluating symptoms that were monitored and followed by telephone as necessary by a designated nurse practitioner (NP).
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores
Outcomes Primary endpoint: time in days between symptom reporting and remote evaluation of symptoms (i.e. time elapsed between completion of questionnaire (as documented automatically by the ISS software) and the NP’s documentation of attempts to contact the patient to evaluate the symptom and make treat‐ ment recommendations).
Other outcome: use of healthcare resources (breast cancer‐related visits, total medical appointments, and laboratory and imaging studies) over an 18‐month period.
Notes The study was supported by the Henry J. Kaiser Family Foundation (grant). The study period was not reported. Conflicts of interest were reported as: Ms. Wheelock, Dr. Melisko, Dr. Martin, Ms. Ernest, and Ms.
Bock report that the Safeway Foundation provided financial
support for the Athena Breast Health Network and Survivorship
Programming for work performed as part of the current study.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomisation occurred by block design developed by the statistician
Allocation concealment (selection bias) Unclear risk Allocation was done by the research coordinator, but unclear if patients/personnel aware
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Baseline data on Table 1 were similar between chart and control groups
Baseline characteristics similar Low risk No significant differences between the groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how missing data were handled
Was study protected against contamination Unclear risk No mention about potential contamination
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Whipple 2003.

Study characteristics
Methods Randomised trial, USA
Participants Participants were 981 clients of a possible 1,339 treated in a university counseling center.
Interventions The authors examined whether feedback regarding client progress and the use of clinical support tools (CSTs) affected client outcome and number of psychotherapy sessions attended.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Outcome Questionnaire–45 (OQ‐45)
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Every session
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Main outcomes: psychological dysfunction (OQ‐45)
Notes The funding source was not reported. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The participants in the experimental and control groups were divided into groups based on random assignment
Allocation concealment (selection bias) Low risk An administrative employee blinded to the aim of the trial drew names.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk There were no statistically significant differences between the intervention and control groups.
Baseline characteristics similar Low risk No significant differences were found between the participants in the intervention and TAU groups at baseline.
Incomplete outcome data (attrition bias)
All outcomes High risk At the 12 month follow up, participation rate was almost thesame in intervention and control groups; 70% and 69%, respectively.
Was study protected against contamination High risk The nurse was aware that the patient was a participant in the study.
Selective reporting (reporting bias) Low risk None apparent.

White 1995.

Study characteristics
Methods Randomised trial, UK
Participants 23 general practices with at least 20 asthmatic patients in their practice
Interventions Receiving feedback on control of asthma versus no feedback.
 
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Self‐developed asthma questionnaire
Constructs measured: Symptoms, Functioning
Instrument categories/domains: Domain/Disease specific (asthma)
 
Administration features
Where PROMs administered: Non‐clinical setting
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Electronic, Paper
How often information fed back: First questionnaire then 4 further questionnaires mailed at 6 month intervals
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: type/frequency asthma symptoms, use of health services, use of asthma drugs (i.e. self‐developed questionnaire)
Notes The study was supported by the Department of Health. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk No mention of how randomisation was done
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Table 5 presented similar outcomes for both groups
Baseline characteristics similar Low risk Baseline characteristics between the groups were similar
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of how incomplete data were addressed
Was study protected against contamination Unclear risk Intervention practices and control practices different ‐ although one control practice was paired with an intervention
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Whooley 2000.

Study characteristics
Methods Randomised trial, USA
Participants 13 primary care medical clinics (7 intervention, 6 control).
Interventions Feedback of Geriatric Depression Scale (GDS)
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: Geriatric Depression Scale (GDS‐15)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (geriatric mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Main outcomes: patient‐reported GDS outcomes, physician diagnosis of depression, antidepressant use, prevalence of depression
Notes The study was supported by the Garfield Memorial Fund (grant). The study recruited between June 1994 and October 1995. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated randomisation occurred for practices
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No sig difference in outcome scores between the groups
Baseline characteristics similar Low risk Only significant differences in income and education between the groups
Incomplete outcome data (attrition bias)
All outcomes Unclear risk No mention of missing data handling
Was study protected against contamination Unclear risk Practices were in different groups
Selective reporting (reporting bias) Unclear risk Unclear whether selective reporting took place

Wikberg 2017.

Study characteristics
Methods Randomised trial, Sweden
Participants The trial took place at 22 Swedish PHCCs between March 2010 and December 2013. All 98 PHCCs in the region were invited to participate in the intervention; 22 agreed to participate. 258 Study participants were patients aged 18 and up who visited the PHCCs and were identified and diagnosed by a GP with a new episode of mild/moderate depressive disorder.
Interventions The intervention consisted of using a patient depression self‐rating scale (MADRS‐S) in recurrent monthly consultations during the 3‐month intervention. Patients made 4 visits to their GPs, at which time they completed MADRS‐S to monitor changes in their depressive symptoms that were then discussed in the person‐centred consultation. MADRS‐S was used as a supplement to, rather than as a substitute for, TAU.
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: Beck Depression Inventory‐II (BDI‐II), EQ‐5D, 12‐ item General Health Questionnaire (GHQ‐12)
Constructs measured: Health related Quality of Life, Symptoms, Functioning
Instrument categories/domains: Generic, Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Unclear
 
Feedback features
Format of PROMs feedback: Unclear
How often information fed back: 4 times over 3 months
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
 
Outcomes Main outcome: depression severity (BDI‐II), depression remission, quality of life (EQ‐5D), overall psychological well‐being (GHQ‐12), prescriptions for antidepressants, prescriptions for sedatives, sick leave, healthcare use.
Notes The study was supported by the Department of Health. The study period was not reported. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk The participants in the experimental and control groups were divided into groups based on random assignment.
Allocation concealment (selection bias) High risk Allocation concealment not possible due to cluster randomisation
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Unclear risk Not reported.
Baseline characteristics similar Unclear risk Not reported.
Incomplete outcome data (attrition bias)
All outcomes High risk 1339 randomised, of whom 358 (26.7%) excluded due to not completing an outcome measure, or not returning for a second session.
Was study protected against contamination High risk Therapists was aware that the patient was a participant in the study.
Selective reporting (reporting bias) Low risk None apparent.

Williams 1990.

Study characteristics
Methods Randomised trial, USA
Participants 969 adults (mean age 58 years)
Interventions Diagnostic information relating to the patient's depression status was reported to the physician following either a single item assessment of the CES‐D.
 
Intervention features
Single simple feedback (one PROM at a single time) 
PROM(s) used as intervention: 20‐item Center for Epidemiologic Studies Depression Screen
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcome: depression recognition
Other outcomes: changes to treatment, recovery from depression symptoms, number of depressive symptoms
Notes The study was supported by Supported by a Robert Wood Johnson Generalist Physician Faculty Award (No. 22324) and the Hispanic Healthy Aging Center, NIA Grant No. IT20AG12044‐04. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Random assignment was stratified by site
Allocation concealment (selection bias) Low risk Computer‐generated, blocked randomisation log.
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk No statistically significant differences were found for the outcomes
Baseline characteristics similar Low risk No statistically significant difference found
Incomplete outcome data (attrition bias)
All outcomes Low risk Intervention‐3 month follow‐up‐ 5/2 dropouts
Control‐ 3 month follow‐up‐ 7dropouts
Was study protected against contamination Low risk Control group had no access to the intervention
Selective reporting (reporting bias) Low risk None reported

Wolfe 2014.

Study characteristics
Methods Randomised trial, USA
Participants 104 oncologists (51 intervention, 53 control) at paediatric cancer centres.
Interventions Summary feedback of PediQUEST data to oncologists and families
 
Intervention features
Multiple complex feedback (multiple PROMs at multiple times) 
PROM(s) used as intervention: PQ Memorial Symptom Assessment Scale (PQ‐MSAS), Pediatric Quality of Life Inventory 4.0 Generic Core Scales (PedsQL4.0), overall sickness question (Sickness) developed de novo
Constructs measured: Health related Quality of Life, Symptoms
Instrument categories/domains: Domain/Disease specific (cancer ‐ children)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) and non‐clinical setting
How administered: Self‐administered and proxy (by families)
Format of PROMs questionnaire(s): Electronic
 
Feedback features
Format of PROMs feedback: Electronic and paper
How often information fed back: At most once a week over 3 month period
Who information fed back to: Clinicians, Patients
Information fed back: Scores, Previous scores, Interpretation guidance, Management recommendations
Outcomes Main outcomes: child distress (PQ‐MSAS), HRQoL (PedsQL4.0), satisfaction with PediQUEST (self‐developed questionnaire)
Notes The study was supported by the National Institutes of Health/National Cancer Institute PediQUEST Study (Evaluation of Pediatric Quality of Life and Evaluation of Symptoms Technology); Charles H. Hood Foundation Child Health Research Award; American Cancer Society Pilot and Exploratory Project Award in Palliative Care of Cancer Patients and Their Families. The study ran between December 2004 and December 2009. The authors declared no conflicts of interest.
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Computer‐generated random sequence by site
Allocation concealment (selection bias) High risk Allocation not concealed
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar Low risk Outcome measurements were similar at baseline.
Baseline characteristics similar Low risk Baseline characteristics were similar
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Missing data approach for the trial
Was study protected against contamination Unclear risk Contamination effect could not be ruled out by authors
Selective reporting (reporting bias) Low risk None reported

Yager 1981.

Study characteristics
Methods Randomised trial, USA
Participants 150 patients from a University Medical Ambulatory Care Clinic, mostly related to chronic diseases (82%)
Median age 56 years
71% female
Interventions Assessing depression screening scores (Zung SDS) to patients
Assessing Global Depression Index (GDI) to both patients and treating physician.
Providing the results of patients' depression screening scores (Zung SDS) to physicians.
 
Intervention features
Single complex feedback (multiple PROMs at a single time) 
PROM(s) used as intervention: Zung self rating depression scale (SDS), Global Depression Index (GDI)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Self‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: Once
Who information fed back to: Clinicians
Information fed back: Scores, Interpretation guidance
Outcomes Main outcomes: effects of screening, feedback, and sensitisation on notation and treatment, physician‐patient agreement about patient depression
Notes Funding source not reported. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Paper only states quote:"Patients were randomly assigned to one of six groups"
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk Not possible due to study design (physicians either given the global depression index and/or the Zung self rating depression scale or not).
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Baseline outcome measurements similar Unclear risk No comparisons were made between groups
Baseline characteristics similar Unclear risk Some demographics provided but no indication of any significance testing for differences
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not reported
Was study protected against contamination Unclear risk Unclear as to whether the physicians knew which group they were in
Selective reporting (reporting bias) High risk Tables do not provide summaries for each of the intervention group rather blocked them together

Zung 1983.

Study characteristics
Methods Randomised trial, USA
Participants 143 adults (mean age years) attending a family medical practice with a positive screen for depression
Interventions Feedback and prompts to evaluate further depending on need.
Intervention features
Multiple simple feedback (one PROM at multiple times)
PROM(s) used as intervention: Zung self rating depression scale (SDS)
Constructs measured: Symptoms
Instrument categories/domains: Domain/Disease specific (mental health)
 
Administration features
Where PROMs administered: Clinical setting (e.g. waiting room, office, etc) 
How administered: Interviewer‐administered
Format of PROMs questionnaire(s): Paper
 
Feedback features
Format of PROMs feedback: Paper
How often information fed back: 2 times (second time after 4 weeks)
Who information fed back to: Clinicians
Information fed back: Scores, Previous scores
 
Outcomes Main outcome: depression recognition
Notes Funding source not reported. The study period was not reported. Conflicts of interest were not reported. 
 
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) High risk Random assignment ‐ not reported
Allocation concealment (selection bias) Unclear risk Not reported
Blinding of participants and personnel (performance bias)
All outcomes High risk Due to nature of intervention not possible to blind patients and personnel.
Blinding of outcome assessment (detection bias)
All outcomes High risk Due to nature of the intervention blinding of outcomes not possible: PROM used for feedback also used to assess outcome, patients were aware they received the intervention.
Baseline outcome measurements similar High risk Not clear
Baseline characteristics similar Low risk Statistically significant differences were found for sex
Incomplete outcome data (attrition bias)
All outcomes Unclear risk Not clearly reported
Was study protected against contamination High risk Clinicians were allocated within a clinic or clinics and it is possible that communication between intervention and control professionals could have occurred
Selective reporting (reporting bias) Low risk None reported

AEP: Adverse Events Profile;ASC: Assessment for Signal Clients; AUC: area under the curve; BDI: Beck Depression Inventory; CAGE: cut‐annoyed‐guilty‐eye; CDSS: Calgary Depression Scale for Schizophrenia; CES‐D: Center for Epidemiologic Studies Depression Scale; CG: control group; COOP: Dartmouth Cooperative Functional Assessment Charts; DIS: Diagnostic Interview Schedule; ED: eating disorder; EDept: emergency department; EORTC: European Organisation for Research and Treatment of Cancer; EQ‐5D: EuroQol 5 Dimensions; ESRA‐C: Electronic Self‐Report Assessment‐Cancer; ESRS: Manual for the Extrapyramidal Symptom Rating Scale; FACIT: Functional Assessment of Chronic Illness Therapy; FACT: Functional Assessment of Cancer Therapy; FSQ: Functional Status Questionnaire; G‐QoL: Global Quality of Life; GAF: Global Assessment of Functioning; GAS: Global Anxiety Score; GDS‐SF: Geriatric Depression Scale, short form; GHQ: General Health Questionnaire; GPs: general practitioners; HADS: Hospital Anxiety and Depression Scale; HASS: Highest Anxiety Subscale Score; HAM‐D: Hamilton Depression Rating Scale; HbA1c: glycated haemoglobin; HRS: Health risk assessment; HRQL/HRQOL: health‐related quality of life; IG: intervention group; IVR: interactive voice response; MDAS: Modified Dental Anxiety Scale; MDASI: M.D. Anderson Symptom Inventory; MQS: Medication Quantification Scale; NYHA: New York Heart Association; O/GP: oncologist/general practitioner; OARS ADL: Older Americans Resources and Services Activities of Daily Living Scale; OQ‐45: Outcome questionnaire 45; ORS: Outcome Rating Scale; PANSS: Positive and Negative Syndrome Scale; PC‐SAD: Primary Care Screener for Affective Disorders; PCP: primary care physician; PHQ: Patient Health Questionnaire; PRIME‐MD: Primary Care Evaluation of Mental Disorders; PROM: patient‐reported outcome measure; PROMIS: Patient‐Reported Outcomes Measurement Information System; QLQ‐C30: Quality of Life Questionnaire‐Core 30; QoL: quality of life; QOLIE: Quality of LIfe in Epilepsy Inventory; R&D: Research and Development; S‐QOL: Schizophrenia Quality of Life Questionnaire; SCL: Symptom Checklist; SD: standard deviation; SDS: Zung Self‐rating Depression Scale; SF‐36: Short Form Health Survey; SIP: Sickness Impact Profile; SPADE: Sleep disturbance, pain, anxiety, depression and low energy/fatigue; STAI‐S: Spielberger State Anxiety Inventory for State Anxiety; TAU: treatment as usual; TC; W: telephone caseworker; WCL: wait control list; WHOQOL: World Health Organization Quality of Life; WONCA: World Organization of Colleges, Academies and Academic Associations of General Practitioners/Family Physicians.

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Aakhus 2016 Wrong intervention
Aardoom 2016 Wrong setting. Patients were recruited from the community through a website.
Adamowicz 2017 Wrong intervention
Adams 2015 Wrong intervention
Adams 2016 Wrong intervention
Ahmed 2016 Wrong intervention
Al Jundi 2016 Wrong intervention
Anderson 2018 Wrong intervention
Baron 2017 Wrong intervention
Baron 2017a Wrong intervention
Boogaard 2018 Wrong intervention
Boyce 2018 Wrong intervention. Aggregate PRO data are fed‐back to clinicians to improve their practice over time
Carlson 2010 Wrong comparator
Cook 2016 Wrong setting
Cruickshank 2015 Wrong intervention
Curtis 2018 Wrong intervention
daSilvaRibeiro 2015 Wrong intervention
Davidson 2017 Wrong intervention
Dougados 2015 Wrong intervention
Freyer Adam 2018 Wrong intervention
Friedly 2016 Wrong intervention
Gallo 2016 Wrong intervention
Gossec 2016 Wrong intervention
Graetz 2018 Wrong comparator
Hanling 2016 Wrong intervention
Indovina 2016 Wrong intervention
Jaeger 2017 Abstract without eligible outcomes, tried to retrieve protocol for confirming eligibility: not found; messaged contact e‐mail on trial website, no response.
Janse 2015 Wrong intervention
Janssens 2015 Wrong intervention
Jones 2016 Wrong intervention
Kesanen 2017 Wrong intervention
Kwan 2017 Wrong intervention
Liimatta 2017 Wrong outcomes
Lowenstein 2018 Wrong intervention
McCombie 2020 Wrong intervention
Mooney 2015 Wrong intervention
Murff 2017 Wrong intervention
Olson 2017 Wrong intervention
Paterson 2017 Wrong intervention
Piette 2015 Wrong comparator
Riese 2015 Wrong comparator
Roberts 2017 Wrong intervention
Sanchez 2018 Wrong intervention
Sepucha 2019 Wrong intervention. Information fed back was not a PRO measure
Skinner 2016 Wrong intervention
Smith 2018 Wrong comparator
Sonal Sekhar 2018 Wrong intervention
Stump 2017 Wrong intervention
Szots 2016 Wrong intervention
Uchitomi 2015 Wrong intervention
Valle 2018 Wrong intervention
vanderWeegen 2015 Wrong intervention
vanDijk 2015 Wrong intervention
Voruganti 2017 Wrong intervention
Weiss 2019 Wrong intervention. Readiness to discharge (information fed back) is not a measure of health, hence not a PRO measure.
Williamson 2015 Wrong intervention
Wright 2018 Wrong intervention
Yee 2017 Wrong intervention

PRO: patient‐reported outcome

Characteristics of studies awaiting classification [ordered by study ID]

Castillo 2017.

Methods Randomised trial, Uruguay
Participants 67 adults diagnosed with cancer
Interventions Intervention: regular completion of touch‐screen health‐related quality of life questionnaires and feedback of results to physician; telephone follow‐up
Comparison: telephone follow‐up
Outcomes Main outcome: health‐related quality of life
Notes  

Characteristics of ongoing studies [ordered by study ID]

Absolom 2017.

Study name Electronic patient self‐Reporting of Adverse‐events: Patient Information and aDvice (eRAPID): a randomised controlled trial in systemic cancer treatment
Methods Randomised trial, UK
Participants 1) Adult patients (aged 18 years or over) attending St James’ Institute of Oncology, Leeds with breast cancer undertaking either neo‐adjuvant or adjuvant systemic treatment pathways, gynaecological or colorectal cancer requiring chemotherapy. 2) Prescribed at least 3 months of planned chemotherapy cycles at the time of study consent. 3) Able and willing to give informed consent. 4) Able to read and understand English. 5) Access to the Internet at home.
Interventions eRAPID (electronic patient self‐Reporting of Adverse‐events: Patient Information and aDvice) is an Internet based system for patients to self‐report symptoms and side effects (adverse events or AE) of cancer treatments. Participants (adult patients with breast cancer on neo‐adjuvant or adjuvant chemotherapy, colorectal and gynaecological cancer receiving chemotherapy) are randomised to receive the eRAPID intervention or usual care over 18 weeks of treatment. Participants in the intervention arm receive training in using the eRAPID system to provide routine weekly adverse event reports from home. Hospital staff can access eRAPID reports via the EPR and use the information during consultations or phone calls with patients.
Outcomes The primary outcome of the trial is quality of life (FACT‐G) with secondary outcomes including health economics (costs to patients and the NHS), process of care (e.g. contacts with the hospital, number of admissions, clinic appointments and changes to treatment/medications) and patient self‐efficacy. Outcome data is collected at baseline, 6, 12, 18 weeks and 12 months. The intervention is also being evaluated via end of study interviews with patient participants and clinical staff.
Starting date May 2016
Contact information Galina Velikova, Section of Patient Centred Outcomes Research (PCOR), Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK. Email: g.velikova@leeds.ac.uk
Notes  

ACTRN12619001126101.

Study name PROpatient: Can symptom monitoring and care coordination improve the quality of life of people with upper gastrointestinal cancer
Methods Randomised parallel trial, Australia
Participants Inclusion criteria: patients aged 18 years and older newly diagnosed with pancreatic, oesophageal and gastric cancer
Interventions Participants allocated to the intervention group complete a self‐report questionnaire on their smartphone, tablet or computer every two‐weeks, severe or worsening symptoms are automatically flagged, in which case care coordinators contact the participant. Participants allocated to the control group receive usual care.
Outcomes Main outcome: health‐related quality of life (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire) at 3, 6, and 12 months post‐baseline
Other outcomes: patient information needs, health services use, emergency department visits, median survival, referral to palliative care
Starting date June 2020 (estimated completion date June 2022)
Contact information John Zalcberg (john.zalcberg@monash.edu)
Notes  

ACTRN12620000174987.

Study name Using patient‐reported outcome measures for children with life‐altering skin conditions in routine clinical practice: A pilot randomised effectiveness‐implementation study (PEDS‐ePROM)
Methods Randomised parallel trial, Australia
Participants Inclusion criteria: children and adolescents aged <16 years, with burn scars and infantile haemangiomas, receiving outpatient treatment at eligible hospital
Exclusion criteria: inability to provide consent or understanding written English, involvement with Child Safety
Interventions Intervention: prior to each appointment generic and disease‐specific health‐related quality of life measures will be complete by the children or their caregivers. A summary will be printed and given to the children and the parents, as well as the attending physicians, and an electronic copy will be added to the medical records.
Comparison: children and their caregivers will also complete the same questionnaires prior to each appointment, and results will be available at the end of the follow‐up period (6 months after baseline)
Outcomes Main outcomes: generic child overall health‐related quality of life (Pediatric Quality of Life Evaluation ‐ total score)
Other outcomes: health‐related quality of life, quality of life, disease‐specific health‐related quality of life, number and type of referrals
Starting date January 2020 (estimated completion date February 2021)
Contact information Zephanie Tyack (z.tyack@uq.edu.au)
Notes  

Arts 2017.

Study name Lymphoma InterVEntion (LIVE) – patient‐reported outcome feedback and a web‐based self‐management intervention for patients with lymphoma: study protocol for a randomised controlled trial
Methods Randomised trial, Netherlands
Participants Patients who have been diagnosed with Hodgkin lymphoma, non‐Hodgkin lymphoma, including chronic lymphocytic leukaemia, as registered in the Netherlands Cancer Registry in various hospitals will be selected for participation. Patients are invited via their haemato‐oncologist 6 to 15 months after diagnosis.
Interventions The LIVE randomised trial consists of three arms: (1) standard care, (2) PRO feedback, and (3) PRO feedback and the Living with lymphoma intervention. Patients with lymphoma from various hospitals in the Netherlands will be included and asked to complete questionnaires at four points in time: baseline (T0; 6 to 15 months after diagnosis), after 16 weeks (T1; post intervention), after 12 months (T2), and after 24 months (T3). The PRO feedback includes a graphical overview of patients ’ own symptom and functioning scores and an option to compare their scores with those of other patients with lymphoma and a normative population of the same age and sex. The Living with lymphoma intervention is based on cognitive behavioural therapy components and includes information, assignments, assessments, and videos.
Outcomes To examine whether PRO feedback and the Living with lymphoma intervention will increase self‐management skills and satisfaction with information and reduce psychological distress.
Starting date Not available
Contact information Lindy P. J. Arts, Department of Research, Netherlands Comprehensive Cancer Organisation, PO Box 190793501 DB Utrecht, the Netherlands.
Notes Trial registry NTR5953

Atreja 2016.

Study name Impact of the Mobile HealthPROMISE Platform on the Quality of Care and Quality of Life in Patients With Inflammatory Bowel Disease: Study Protocol of a Pragmatic Randomised trial.
Methods Randomised trial, USA
Participants This study will prospectively enrol about 300 patients with Crohn's Disease or Ulcerative Colitis presenting at the Mount Sinai Health System.
Interventions Patients using HealthPROMISE will be asked to use the application once every two weeks at a minimum to provide updates on health information. Providers can use the data entered by patients in real time. Patients will get alerts requesting them to contact their providers if their quality of life scores fall below a certain threshold or their symptoms scores are worrisome. Both patients and physicians are also sent regular notifications with data about their own health or health of their patient panel respectively. Both patients and providers are encouraged to use existing communication tools (phone, office visits, personal health records) since direct patient‐physician messaging is not provided in the HealthPROMISE platform. Reminders through app, email and SMS will be used to facilitate patient engagement. Physicians will also be encouraged to check the physician panel to see how patients are doing through weekly updates and monthly quality improvement meetings.
Outcomes Primary Outcome Measure: Improvement in Quality Indicators (adapted from the American Gastroenterological Association (AGA) outpatient IBD quality metrics and other consensus recommendations) [Time Frame: up to 2 years]. Quality metrics for primary end‐point will be adapted from the American Gastroenterological Association (AGA) outpatient IBD quality metrics and other consensus recommendations.
Starting date December 2014
Contact information Ashish Atreja, Icahn School of Medicine at Mount Sinai
Notes  

Bansback 2019.

Study name A PROMs Based Educational Tool (PROM‐DA) for Patients Considering Total Knee Arthroplasty: Development and a Pilot Randomized Controlled Trial
Methods Randomised parallel trial, Canada
Participants Adults aged >=30 years, with knee osteoarthritis
Interventions Intervention: participants complete the Patient Reported Outcome Measure informed Decision Aid
Comparison: usual care
Outcomes Main outcome: decision quality
Other outcomes: quality of life, depression, satisfaction, other outcomes
Starting date June 2017 (estimated completion date March 2020)
Contact information Nick Bansback
Notes Trial registry NCT03240913

Bubb 2018.

Study name Incorporation of Patient Reported Outcomes Data in the Care of US Veterans With Rheumatoid Arthritis
Methods Randomised parallel trial, USA
Participants Adults aged >=18 years, US veterans
Interventions Intervention: participants will complete patient‐reported outcome measures and their scores will be provided to the treating physician
Comparison: participants will complete patient‐reported outcome measures and their scores will not be provided to the treating physician
Outcomes Main outcome: physician/lab‐derived instruments of clinical efficacy
Other outcomes: patient satisfaction, medication compliance
Starting date February 2015 (estimated completion date June 2021)
Contact information Michael R Bubb
Notes Trial registry NCT02326532

ChiCTR1800018769.

Study name The application of patient reported outcomes in preventing relapse of depression
Methods Randomised parallel trial, China
Participants Inclusion criteria: patients aged 18 to 65 years, diagnosed with current major depressive disorder, who have been treated for 6‐12 weeks in acute phase
Exclusion criteria: presence of other mental health conditions, suicidal ideation, pregnancy
Interventions Quote: "The patients in PRO treatment group were required to complete the self‐evaluation of PHQ‐9, GAD‐7, AIS, MARS, Q‐LES‐Q‐SF and other related symptoms, medication compliance and quality of life according to the regulations. The patients in PRO treatment group were asked to complete the self‐evaluation periodically based on the way of Wechat public signal platform, and then the doctors made a comprehensive evaluation according to the results of self‐evaluation and adjusted the treatment according to the research plan. At the same time, the patients were given health education. The self‐evaluation, feedback and patient education were all pushed on the platform of Wecaht public number. Finally, the differences between the two groups were compared."
Outcomes Main outcome: sustained response time (measured with Hamilton Rating Scale for Depression)
Other outcomes: relapse rate, compliance
Starting date April 2018
Contact information Hu Chang‐Qing (coannhu@126.com)
Notes  

ChiCTR1900020846.

Study name A study for perioperative symptom management in patients with lung cancer based on patient‐reported outcomes
Methods Randomised parallel trial, China
Participants Inclusion criteria: people aged 18 to 75 years, diagnosed with primary lung cancer (clinical stage I‐IIIA), waiting to receive surgery and willing to answer a repeated electronic questionnaire on a smartphone or tablet.
Exclusion criteria: neoadjuvant therapy, other malignant tumours, inability to understand the study requirements.
Interventions Quote: "After enrolment, all the patients will use their WeChat app to connect with the participating specialists’ WeChat app via a mini programme (ePRO Cell). Then, they will be taught how to use the programme. The ePRO questionnaires will be set to send to the patients’ WeChat app automatically after randomisation. Patients are required to complete the ePRO questionnaires on their smartphones or tablets before surgery (baseline, typically 1–3 days before the operation), daily after surgery (in‐hospital, typically 1 to 7 days after the operation) and twice a week after discharge until 4 weeks or the start of postoperative oncological treatment (typically collecting PRO data six to eight times after discharge). In a hospital setting, if the patients do not complete the ePRO questionnaires within the scheduled time, an electronic reminder (e‐reminder) and up to two bedside reminders will be delivered at the same day. After discharge, if the patients fail to
complete the ePRO questionnaires within the scheduled time, an e‐reminder and up to two phone reminders will be delivered with 24 hours." (Protocol)
Outcomes Main outcome: mean symptom threshold events using the MDASI lung cancer‐specific scale
Other outcomes: symptom severity, daily functioning and quality of life, revisit rate after discharge
Starting date 1 December 2018 (estimated completion date 31 December 2020)
Contact information Qiang Li (liqiang@sichuancancer.org)
Notes  

Gorini 2016.

Study name A web‐based interactive tool to improve breast cancer patient centredness
Methods Randomised trial, Italy
Participants Women with breast cancer aged 18 to 75 years diagnosed with primary breast cancer who undergo a radical surgery. Patients with recurrent breast cancer or overt psychiatric illness that could interfere with the measurement of psychological variables will be excluded from the study. The study will be conducted at the European Institute of Oncology (IEO) in Milan, Italy, and patients will be recruited via medical oncologists operating in the same Institute.
Interventions The study will be implemented as a two‐arm randomised trial with 100 adult breast cancer patients who fill in the ALGA‐BC questionnaire, a computerised validated instrument to evaluate the patient’s physical and psychological characteristics following a breast cancer diagnosis. The IEm tool will collect and analyse the patient’s answers in real time and send them, together with specific recommendations to the physician’s computer immediately before physician’s first encounter with the patient. Patients will be randomised to either the intervention group using the IEm tool or to a control group who will only fill in the questionnaire without taking advantage of the tool (physicians will not receive the patient’s profile).
Outcomes To evaluate the effect of an interactive empowerment tool (IEm) on enhancing the breast cancer patient–physician experience, in terms of increasing empowerment, i.e. by providing physicians with a personalised patient’s profile, accompanied by specific recommendations to advise them how to interact with each individual patient on the basis of her personal profile.
Starting date Not available
Contact information Alessandra Gorini. Email: alessandra.gorini@unimi.it
Notes  

Grove 2018.

Study name  
Methods Randomized trial, Denmark. 
Participants Outpatients with chronic kidney disease. 
Interventions Assessment and feedback of PROM information. 
Outcomes Main outcome: loss of renal function evaluated by estimated glomerule filtration rate. 
Secondary outcomes: intiation of acute dialysis, hospitalisation, mortality, utilisation of healthcare resources, quality of life, and illness perceptions. 
Starting date  
Contact information  
Notes Funded by Karen Elise Jensen foundation, Helsefonden and Trygfonden. 

Grove 2019.

Study name PROKID study
Methods Parallel randomised trial, Denmark
Participants Adults age >=18 years, referred to renal care services at eligible sites
Interventions Arm 1: participants complete a questionnaire every 3 months, which is used as a decision aid alongside other clinical information to decide whether the participant needs an appointment or not.
Arm 2: participants complete a questionnaire every 3 months prior to a telephone appointment, the information is used during the appointment.
Arm 3: comparison (usual care)
Outcomes Main outcome: Change from baseline Estimated Glomerular Filtration Rate (eGFR) at 18 months
Other outcomes: mortality, hospital admission, kidney transplant, health‐related quality of life (among others)
Starting date December 2018
Contact information Birgith Grove
Notes Trial registry NCT03847766

Holch 2018.

Study name eRAPID electronic patient self‐Reporting of Adverse‐events: Patient Information and aDvice: a pilot study protocol in pelvic radiotherapy
Methods Randomised trial, UK
Participants Patients attending St James ’ s University hospital cancer centre and The Christie Hospital Manchester undergoing pelvic radiotherapy+/ − chemotherapy/hormonotherapy for prostate, lower gastrointestinal and gynaecological cancers.
Interventions Prospective 1:1 randomised (intervention or usual care) parallel group design with repeated measures and mixed methods will be employed. Aim is to recruit 168 patients following recommendations for sample size estimates for pilot studies. Participants using eRAPID will report AE (at least weekly) from home weekly for 6 weeks and 6 weeks post‐treatment (12‐week total) then at 18 and 24 weeks.Hospital staff will review eRAPID reports and use information during consultations. Notifications will be sent to the relevant clinical team when severe symptoms are reported.
Outcomes The objectives are to establish feasibility, recruitment, integrity of the system and attrition rates, determine effect sizes and aid selection of the primary outcome measure for a future randomised trial.
Starting date September 2016
Contact information Trish Holch, Department of Psychology, School of Social Sciences, Leeds Beckett University, Calverley Building, Room CL 815 City Campus, Leeds LS1 9HE, UK. Email: T.Holch@Leedsbeckett.ac.uk
Notes  

ISRCTN82172279.

Study name Reconceptualising patient‐reported outcome measures for back pain
Methods Cluster randomised controlled trial (cRCT) and process evaluation
Participants Private patient at least 16  years old presenting to the musculoskeletal clinic with self‐reported back pain
Interventions Patients will be asked to complete PROMs at various stages during their treatment. The PROMs will be the Musculoskeletal Health Questionnaire (MSK‐HQ) and the Patient Global Impression of Change Scale (PGIC). The chiropractors recruited into the study will be randomly allocated to one of the three groups using a randomisation generator. Patients booking in with these chiropractors will be asked if they would like to take part in the study and those who consent to take part to the study will be allocated to that chiropractor’s group in the trial. Depending whether patients have booked in with chiropractors in the routine PROM group or the intensive PROM group, they will be asked to complete PROMs at various stages during their treatment. Patients in the routine PROM group will be asked to complete PROMs three times. Patients in the intensive PROM group will be asked to complete PROMs seven times. Those in the control group will not complete PROMs. Chiropractors in the routine and intensive PROM groups will be asked to discuss PROMs with their patients at every session after a PROM has been completed. The follow up will be 90 days.
Outcomes Back pain (physical functioning and disability) measured with the Roland‐Morris Questionnaire at baseline and 90 days
Starting date 31/01/2018
Contact information University of Southampton, University Road, Southampton, SO17 1PS
United Kingdom
Notes  

Kendrick 2020.

Study name Patient‐reported outcome measures for monitoring primary care patients with depression: PROMDEP randomised controlled trial
Methods Randomised cluster trial, UK
Participants Adults aged >=18 years who attended their general practices within the last 2 weeks and assigned Read computerised medical record codes by GPs or nurse practitioners (NPs) for new presentations with diagnoses or symptoms of depression
Interventions Intervention: participants will complete patient‐reported outcome measure and receive their score as well as treatment recommendations to discuss with their general practitioner
Comparison: usual care
Outcomes Main outcome: symptoms of depression (12 weeks)
Other outcomes: symptoms of depression (26 weeks), social functioning, quality of life, costs of consultations, quality of life
Starting date November 2021 (estimated completion date October 2021)
Contact information Rachel Dewar‐Haggart (r.v.dewar‐haggart@soton.ac.uk)
Notes Trial registry ISRCTN17299295

Klinkhammer‐Schalke 2015.

Study name Direct improvement of quality of life in colorectal cancer patients using a tailored pathway with quality of life diagnosis and therapy (DIQOL): study protocol for a randomised controlled trial
Methods Randomised trial, Germany
Participants Patients are included under broad inclusion criteria: (1) diagnosis of primary colorectal cancer and (2) surgery in one of the four participating hospitals.
Interventions In the intervention group, QoL scores are transformed into a QoL profile. This is sent to the coordinating practitioner (general practitioner, internist, or oncologist) with an expert report including treatment recommendations for QoL deficits. The control group receives routine follow‐up care attending the guideline recommendations for colorectal cancer without profile or expert report. At the primary endpoint (12 months), the rates of patients with diseased QoL in both groups are compared.
Outcomes The primary objective of the study is to improve QoL of colorectal cancer patients during follow‐up care with systematic QoL diagnosis and targeted treatment.
Starting date December 2014
Contact information Monika Klinkhammer‐Schalke, Tumor Center Regensburg e.V., An‐Institute of the University of Regensburg, Josef‐Engert‐Straße 9, 93053 Regensburg, Germany. Email: Monika.Klinkhammer‐Schalke@ukr.de
Notes  

Kuklinski 2020.

Study name PROMoting Quality ‐ Intersectoral use of Patient Reported Outcome Measures to increase patient‐relevant outcome quality
Methods Randomised parallel trial, Germany
Participants Adults aged >= 18 years, awaiting for primary elective surgery for total knee replacement and total hip replacement
Interventions Intervention: participants will complete an electronic patient‐reported outcome measure at regular intervals and the results will be shared with treating healthcare professional and study staff
Comparison: usual care
Outcomes Main outcome: composite measure of PROMs and clinical outcome measures; direct and follow‐up health care cost of the procedures; cost of implementing the designed intervention
Other outcomes: functionality, health‐related quality of life, patient satisfaction
Starting date November 2019
Contact information David Kuklinski
Notes Trial registry DRKS00019916

Kyte 2018.

Study name RePROM pilot/feasibility study in chronic kidney disease
Methods Parallel randomised trial, UK
Participants Adults aged >= 18 with advanced chronic kidney disease
Interventions Intervention: participants provide monthly reports on their health status using an online electronic Patient‐Reported Outcome Measure (ePROM) system.
Comparison: usual care
Outcomes Main outcomes: recruitment and retention rates, data collection processes, data completeness and adherence to the ePROM intervention
Other outcomes: health‐related quality of life, clinical condition, clinical event data, health resource use
Starting date January 2017
Contact information Derek Kyte (kytedg@bham.ac.uk)
Notes Trial registry ISRCTN12669006

Mamguem Kanga 2020.

Study name  
Methods Randomised trial, France. 
Participants Women with non‐metastatic hormone receptor‐positive breast cancer. 
Interventions Health‐related quality of life assessment with delivery of scores to clinicians vs usual care. 
Outcomes Primary outcome: compliance with endocrine therapy at 12 months. 
Starting date  
Contact information  
Notes The study was funded by the Georges François LeClerc Center, Burgundy, France. 

Matsuda 2018.

Study name  
Methods Randomised trial, Japan.
Participants Patients with cancer receiving palliative care. 
Interventions Quality of life assessment and feedback to clinicians using the Care Notebook
Outcomes Main outcome: global health status measured by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative PROM
Starting date  
Contact information  
Notes Study is funded by the Japanese Ministry of Education, Culture, Sports, Science and Technology.

Morton 2019.

Study name Symptom Monitoring with Feedback Trial (SWIFT)
Methods Cluster randomised trial, Australia and New Zealand
Participants Adults aged >= 18 years with kidney disease receiving in‐centre haemodialysis or haemodiafiltration
Interventions Intervention: regular symptom monitoring with feedback to the renal team
Comparison: collection of health‐related quality of life at baseline and follow‐up
Outcomes Main outcomes: overall response rate, barriers and facilitators to using patient‐reported outcome measures
Other outcomes: time taken to complete measures, patient representativeness and retention
Starting date December 2018
Contact information Rachael Morton (rachael.morton@ctc.usyd.edu.au)
Notes Trial registry ACTRN12618001976279

NCT02591472.

Study name An integrated‐delivery‐of‐care approach to improve patient outcomes, safety, well‐being after orthopaedic trauma.
Methods Randomised trial, USA
Participants 111 participants with serious musculoskeletal injury, being treated at to the University of Florida's (UF) Orthopaedic Trauma service at UF Health at Shands Hospital, randomised between the two groups (intervention and usual care).
Interventions The research study will determine whether the Usual Care or Integrated Care (which is Usual Care plus emotional support, and education/information during the hospital stay) helps patients feel better about their physical function and emotional well‐being.
Participants with serious musculoskeletal injury, being treated at to the University of Florida's (UF) Orthopaedic Trauma service at UF Health at Shands Hospital, will be randomised (like tossing a coin) between the two groups.
Usual Care will follow all the highest standards for injury treatment.
Integrated Care will include medical care and emotional support. Study Staff are trained to provide emotional support and teach patients the skills for goal setting, taking ownership of journey, establishing lifelines, mobilizing resources and reducing stressors.
In addition, questionnaires and simple functional tests will be collected at the hospital and at normal follow‐up visits at weeks 2, 6 and 12 and months 6 and 12.
Outcomes Primary outcome 1: Change in baseline, at weeks 2, 6 and 12 and months 6 and 12 on the Patient Reported Outcome Measurement Information System (PROMIS) ‐ Physical Function between the groups. [ Time Frame: Change in Baseline, at weeks 2, 6 and 12 and months 6 and 12 ]
Survey questionnaire measures the perception of Physical Function. Physical Function Average: T score = 50±10 Min: 10 Max: 90
Primary outcome 2: Change in baseline, at weeks 2, 6 and 12 and months 6 and 12 on the Patient Reported Outcome Measurement Information System (PROMIS) ‐ Social Roles between the groups. [ Time Frame: Change in Baseline, at weeks 2, 6 and 12 and months 6 and 12 ]
Survey questionnaire measures the perception of Social Roles. Social Roles Average: T score = 50±10 Min: 10 Max: 90
Primary outcome 3: Change in baseline, at weeks 2, 6 and 12 and months 6 and 12 on the Patient Reported Outcome Measurement Information System (PROMIS) ‐ ‐ Psychosocial Illness Impact‐positive between the groups. [ Time Frame: Change in Baseline, at weeks 2, 6 and 12 and months 6 and 12 ]
Survey questionnaire measures the perception of Psychosocial Illness Impact. Psychosocial Average: T score = 50±10 Min: 13.8 Max: 68.7
Starting date January 2016
Contact information Heather K Vincent, Ph.D. University of Florida Department of Orthopaedics.
Notes  

NCT02673580.

Study name Tele‐patient‐reported Outcomes (telePRO) in clinical practice
Methods Randomised trial, Denmark
Participants 593 participants. Inclusion Criteria:
Males and females from Age 15 years
Diagnosis of epilepsy
Referred to standard telePRO by a clinician
Access to Internet (web‐responders in standard telePRO)
Can speak and understand Danish
Interventions To compare quality of care and patient experiences in two outpatients follow‐up activities: 1) Standard telePRO (fixed interval telePRO follow‐up) and 2) Open Access telePRO (patient‐initiated telePRO follow‐up)
Outcomes Primary outcome: Number of contacts [Time Frame: 18 months] includes all contacts with the outpatient clinic in the study follow‐up period
Starting date January 2016
Contact information Niels Henrik Hjollund, Professor Regional Hospital West Jutland
Notes  

NCT02818478.

Study name Patient reported outcomes reported via PC/ tablet home versus touch screen at hospital among patients with arthritis (PRO)
Methods Randomised trial, Denmark
Participants Inclusion Criteria
Rheumatoid arthritis OR axial spondyloarthritis
Active treatment and monitoring of the Knowledge Center for Rheumatology and Spine diseases, Rigshospitalet, Denmark
Patients must have reported patient reported outcome measures via DANBIOs touch‐screen solution ≥ 3 times
Exclusion Criteria
Impaired vision
Non‐Danish speaking
No electronic device at home,, tablet or computer
Interventions To investigate if electronic reporting of patient reported outcome measures from home is comparable to the traditional touch‐screen solution to hospital among patients with rheumatoid arthritis and axial spondyloarthritis
Outcomes Primary outcome: The Health Assessment Questionnaire (HAQ) developed to retrieve quantitative information on outcomes among patients with rheumatoid arthritis
Starting date May 2016
Contact information Merete M Hetland, Rigshospitalet, Denmark
Notes  

NCT02917954.

Study name Electronic patient reported outcome (ePRO) mobile application pragmatic trial
Methods Randomised trial, Canada
Participants A FHT patient at one of the FHT sites selected and is 60 years or older;
Physical capability to use a tablet and/or a caregiver who can use the tablet on their behalf;
Ability to read and write in English and/or the availability of a caregiver who can do so on their behalf;
Has complex care needs defined as two or more chronic conditions and 10 or more visits to their primary health care provider within the last 12 months; and
Be thinking about or ready to make changes to support their self‐management.
Interventions During the ePRO Tool intervention participants will complete surveys at every 3 months intervals starting month at 4 or month 7, for study duration. Surveys capture patient demographics, assessment of quality‐of‐life, chronic disease management, primary care experience, and Electronic Patient Reported Outcome (ePRO) Mobile Application tool usability.
Participants will also meet with their provider to setup and monitor a health goal to track during the study via the ePRO application. During the study, participants will meet with their primary care providers 4‐5 times to discuss their health goal monitoring. Post‐study participants will discuss their experience using the ePRO app in an interview or focus group setting.
Outcomes Primary outcome: Change from baseline Assessment of Quality‐of‐Life at 3 month intervals for 15 months [ Time Frame: Baseline, 3 months, 6 months, 9 months, 12 months, and study end (15‐months)]
Starting date May 2017
Contact information Carolyn Steele Gray. Email: Carolyn.SteeleGray@sinaihealthsystem.ca
Notes  

NCT02949167.

Study name MyHealth: Follow‐up after breast cancer treatment
Methods Randomised trial, Denmark
Participants 494 primary BC patients will be recruited from the Departments of Oncology at Naestved and Roskilde Hospital. Inclusion criteria: Complete remission following primary treatment for loco‐regional BC (stage I‐II) ‐ No confirmed genetic predisposition to BC
Female gender
Performance status ≤3
Read, understand and speak Danish
No severe cognitive problems
No severe psychiatric disease requiring treatment or any substance abuse.
Interventions The MyHealth intervention is a nurse‐led individually tailored symptom management program, focused on patient education and regularly collection of Patient Reported Outcomes (PRO) subsequently evaluated by specialist nurses and navigation to health care service. The nurse will meet with the patient on three‐five planned appointments focused on adjustment of life after breast cancer treatment including information on symptoms of relapse or late effects and how to react on these. Close relatives are invited if patients accept. Patients will report PRO´s on symptoms of recurrence and late effects every three months during the first year and thereafter every six months.The appointments with the nurse are finalized within 3‐6 month and patients will be followed with PRO for three years.
Outcomes Primary outcome: Changes in breast cancer specific symptom burden (TOI‐PFB) [ Time Frame: at inclusion, 6 months,12 months, 24 months, 36 months and 60 months]
Starting date November 2016
Contact information Christoffer Johansen, The Cancer Society Research Center, Survivorship
Notes  

NCT02996201.

Study name Electronic patient reporting of side effects to chemotherapy: A cluster randomised trial
Methods Randomised trial, Denmark
Participants Breast cancer patients starting adjuvant chemotherapy in the period November 1, 2015 ‐ September 1, 2016 in Danish oncology clinics
Interventions To determine whether the use of breast cancer patients' own electronic reporting of side effects to chemotherapy in a treatment setting has an impact on the handling of side effects and on the number of hospitalizations, febrile neutropenia and dose adjustments. Study uses the Patient‐Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO‐CTCAE) for the patients' reporting of side effects. Patients report PRO‐CTCAE symptoms on a tablet computer before each cycle of chemotherapy.
Outcomes Primary outcome: Dose adjustments reported in the medication treatment sheet before each cycle of chemotherapy (5 time points with three weeks interval) [ Time Frame: up to 18 weeks of treatment in the period between November 1, 2015 and January 31, 2017 ]
Starting date November 2015
Contact information Helle Pappot, Rigshospitalet, Denmark
Notes  

NCT03056469.

Study name Patient‐reported outcomes integrated in the follow‐up of patients with hematological cancer
Methods Randomised trial, New Zealand
Participants Patients newly diagnosed with not curable, chronic hematological cancer
Interventions This study investigates, if use of the patient‐reported outcome (PRO) questionnaires are useful in the assessment of the patients needs and health care providers decision making regarding supportive care interventions. It investigates, if completion of PRO questionnaires changes the number and kind of supportive care interventions. In one randomisation arm the participants submit patient‐reported outcomes, and the care providers have access to the patient‐reported outcomes. In another randomisation arm the participants submit patient‐reported outcomes, but the care providers do not have access to the patient‐reported outcomes. In the last randomisation arm the participants are randomised to standard follow‐up, do not complete PRO questionnaires and are thus controls.
Outcomes Primary outcome: Number and kind of supportive care interventions are registered. Supportive care actions are defined as: a) a plan for rehabilitation, b) an intervention by a physiotherapist, occupational therapist, dietician, or social worker, c) consultation with a psychologist or talk with a priest, d) an intervention done by a general practitioner because of the hematological cancer after contact between the hematological department and the general practitioner, e) use of offers like group talks etc offered by the Danish Cancer Society, or f) other supportive care interventions
Starting date September 2016
Contact information Nana Brochmann. Email: nmor@regionsjaelland.dk
Notes  

NCT03093649.

Study name Measuring patient‐reported adverse events in oncology practice improves quality of life in nasopharyngeal carcinoma
Methods Randomised trial, China
Participants Patients with newly histologically confirmed non‐keratinizing carcinoma (according to WHO histological type)
Interventions Patients report adverse events using patient reported outcomes version of common terminology criteria for adverse events (PRO‐CTCAE) through Application (APP) during the treatment. The summary report is transferred to their clinician immediately. Oncologists alarmed if patients reports exceed the pre‐defined threshold.
Outcomes Primary outcome: Score of physical functioning in quality of life
Starting date July 2017
Contact information Ying Sun, Sun Yat‐sen University
Notes  

NCT03202732.

Study name DiabetesFlex ‐ Patient involvement and patient‐reported outcome measures in Type 1 Diabetes
Methods Randomised trial, Denmark
Participants Adults with T1DM for more than 2 years
Interventions DiabetesFlex consists of one mandatory and two optional consultations. Before the consultations patients receive the AmbuFlex Diabetes questionnaire.
The AmbuFlex Diabetes questionnaire is based on both validated questionnaires and clinical consensus. The AmbuFlex Diabetes questionnaire consists of: SF36 well‐being question, WHO‐5 Well‐being Index. Questions concerning: HgA1c, home‐based blood pressure monitoring, incidents of hypoglycaemia, diabetes complications, regular eye check, regular food check, erectile dysfunction and peripheral neuropathy, The PAID scale, Topics patients may want to talk with the health care professional about, the patient's evaluation of the need for diabetes care. View the AmbuFlex Diabetes questionnaire at the homepage: www.diabetesflex.auh.dk.
Outcomes Primary outcome: Non‐inferiority with respect to HbA1c
Starting date October 2017
Contact information Annesofie L. Jensen. Email: anejns@rm.dk
Notes  

NCT03240913.

Study name A PROMs based educational tool (PROM‐DA) for patients considering total knee arthroplasty
Methods Randomised trial, Canada
Participants Inclusion Criteria:
Adult (age≥30) patients with knee osteoarthritis (OA)
Have an appointment with a surgeon for consultation about Total Knee Arthroplasty at the Edmonton Bone and Joint Centre
Understands, speaks and reads English; and
Able to provide informed consent.
Interventions 1) develop an educational tool known as the Patient Reported Outcome Measure informed Decision Aid (PROM‐DA) that will describe the options for patients considering total knee arthroplasty (TKA) surgery, and help them imagine what to expect if they choose either option; 2) assess the extent that the PROM‐DA improves patients decision quality; 3) determine the feasibility of a larger trial to test the PROM‐DA in multiple sites and more patients.
Outcomes Primary outcome: Decision quality [ Time Frame: 40 to 52 weeks after baseline ]
Hip and Knee Decision Quality Instrument (HK‐DQI)
Starting date June 2017
Contact information  
Notes  

NCT03249090.

Study name Electronic patient reporting of symptoms during cancer treatment (PRO‐TECT)
Methods Randomised trial, USA
Participants Inclusion Criteria:
Adults (21+) with advanced/metastatic cancer of any type (EXCEPT leukaemia or indolent [slow growing] lymphoma)
Receiving outpatient systemic cancer treatment for non‐curative/palliative intent, including chemotherapy, targeted therapy, or immunotherapy.
Enrolled at any point in their treatment trajectory, meaning during any line of treatment, and at any point during a course or cycle of treatment.
Can understand English, Spanish, and/or Mandarin Chinese.
Interventions At baseline, CRAs will train patients to self‐report symptoms and physical functioning weekly for up to a year, with a choice to do so online or via an automated telephone system. Whenever a concerning symptom is reported, an automated "email alert" notification will be sent to the site CRA. The CRA will forward the alert to the responsible clinical nurse (or other covering clinician) and CC the site's Nurse Champion. Within 72 hours, the CRA will document what action(s), if any, were taken by the nurse in response to the alert (entered by the CRA into a form in the PRO‐Core system). A symptom report will be printed/generated by the site CRA whenever the patient has a clinic visit and will be given to the oncologist and nurse caring for the patient.
Outcomes Primary outcomes: 1) Physical Functioning [Time Frame: 3 months]
Physical functioning will be measured via the QLQ‐C30
2) Overall Survival [Time Frame: Up to 24 months]
Based on the number of events observed. Overall survival will be compared between arms using a stratified log‐rank rest.
Starting date October 2017
Contact information Sydney Henson. Email: seriggsb@email.unc.edu
Notes  

NCT03471104.

Study name Patient‐reported outcome measures in diabetes care (DiaPROM)
Methods Randomised trial, Norway
Participants Inclusion Criteria: type 1 diabetes for more than one year
Interventions The intervention starts when participants complete PROMs before an annual consultation. The physician reviews the PAID (problem areas in diabetes scale) scores with the participant. Participants with one or more single PAID item(s) scored 3 or 4, or a PAID score ≥30, will be referred to extra follow‐up which will consist of at least two diabetes nurse consultations. The nurses will follow a communication manual based on key elements from empowerment theory and self‐determination theory.
The participants then complete the PROMs prior to the next annual consultation with the physician.
Outcomes Primary outcome: Change in Diabetes Distress Scale (DDS) [ Time Frame: Baseline, 12 months and 24 months. ]
Self reported diabetes‐related distress. 17 items are scored on a 6 point Likert scale from 1 "not a problem" to 6 "very serious problem". Scores are summated and divided by 17 to form a mean/average score. There are also four subscales; emotional burden (5 items), physician‐related distress (4 items), regimen‐related distress (5 items) and interpersonal distress (3 items). The subscales scores are calculated similar to the total score except for dividing by the number of items for each subscale. A total DDS‐score or subscale score of more than 3 is regarded as high degree of diabetes distress. Whilst a score of 2 indicate moderate diabetes distress and a score of 1 is considered as low degree of diabetes distress.
Starting date September 2020
Contact information Lars Birger Nesje, Haukeland University Hospital, Bergen, Hordaland, Norway, 5021. Email: lars.birger.nesje@helse‐bergen.no
Notes  

NCT03535922.

Study name Evaluation of routinely measured patient‐reported outcomes in haemodialysis care
Methods Randomised trial, Canada
Participants Inclusion criteria:
Undergoing haemodialysis within an eligible in‐centre dialysis unit in Alberta or Ontario
18 years or older at the start of the study
Willing and able to complete the PROMs as part of the trial
Interventions In the trial, patients will be invited to complete the PROMs, and results of the measures will be linked to treatment aids for clinicians, providing specific information on how symptoms can best be managed. These care pathways will also be available to patients not receiving PROMs. The main outcome of this study will be patient‐clinician communication, which will be assessed using a questionnaire called the "Communication Assessment Tool". In addition to assessing the effect of using these questionnaires on patient‐provider communication, this study will allow us to explore whether their use affects patient management and symptoms, use of healthcare services, and the overall cost of implementing these questionnaires in clinical practice.
Each dialysis unit (including all patients) will be randomised to one of four study groups: 1) Patients will complete the disease‐specific PROM; 2) Patients will complete the generic PROM; 3) Patients will complete both the disease‐specific and generic PROM; 4) Patients will receive usual care.
Clinicians (in dialysis units randomised to PROMs, groups 1‐3) will receive the results of the questionnaires completed by the patients. This is intended to trigger the clinician to ask the patient about certain symptoms if any exist. All clinicians in all study groups will have access to the clinical "treatment aids", which are tools that help identify and manage certain symptoms that patients might have. For example, people with severe itching will be cared for based on a step‐wise treatment algorithm. Patients will also receive a report of their questionnaire(s) results, with an explanation of what it means.
Outcomes Primary outcome: Change in Communication Assessment Tool (CAT) scores over 12 months [ Time Frame: Measured at baseline, 6 months, and 12 months ]
The CAT assesses patient perceptions of clinicians' interpersonal and communication skills. 'Communication' refers to the interactions between members of the healthcare team (i.e., nurses, nephrologists) and the patient.
Starting date September 2018
Contact information Jeffrey Johnson, University of Alberta
Notes  

NCT03608410.

Study name Intensified follow‐up of lung cancer using weekly questionnaires via the Internet (ProWide)
Methods Randomised trial, Denmark
Participants Inclusion Criteria:
Patients with lung cancer (NSCLC and SCLC), who have received 1st line induction treatment* for lung cancer and have no sign of progressive disease at first evaluation CT scan.
Patients diagnosed with stage III treated with palliative intention, and stage IV, regardless of treatment intention.
Interventions Patients will be asked to fill in a web‐based Patient Reported Outcome (PRO) questionnaire every week. If one of the reported symptoms worsens and exceed a predefined threshold of severity, a notification is automatically sent to the hospital. A nurse will review the questionnaire and contact the patient for verification of symptoms. If progression of disease is suspected, a CT scan will be made. Otherwise, the nurse will schedule a visit at the clinic for physical examination and evaluation by a clinician. If progressive disease is not suspected, supportive care will be adjusted and the patient will continue follow up according to the usual schedule.
Outcomes Primary outcome: Overall survival [ Time Frame: 2 years ]
Starting date September 2018
Contact information Rasmus Friis. Email: rasfri@rm.dk
Notes  

NCT03850912.

Study name SIMPRO Research Center: Integration and Implementation of PROs for Symptom Management in Oncology Practice
Methods Randomised parallel trial, USA
Participants Adults aged >= 18 years, who meet one of the following:
  • Suspected thoracic cancer [lung or bronchus] AND is inpatient following thoracic surgery.

  • Suspected gastrointestinal cancer [colorectal, pancreas, liver/biliary, esophagus,or gastric] AND is inpatient following gastrointestinal surgery.

  • Suspected gynecologic cancer [ovary, uterus, or cervix] AND is inpatient following gynecologic surgery.

  • Diagnosis of thoracic cancer [lung or bronchus] AND scheduled to start a new treatment plan for thoracic cancer.

  • Diagnosis of gastrointestinal cancer [colorectal, pancreas, liver/biliary, esophagus,or gastric] AND scheduled to start a new treatment plan for gastrointestinal cancer.

  • Diagnosis of gynecologic cancer [ovary, uterus, or cervix] AND scheduled to start a new treatment plan for gynecologic cancer

Interventions Intervention: participants will receive patient‐reported outcome measures and receive feedback
Comparison: participants will receive patient‐reported outcome measures and not receive feedback
Outcomes Main outcome: 'Emergency Department ‐ Treat and Release' (EDTR) Rate at 30‐days
Other outcomes: symptom burden, patient satisfaction, initiation of adjuvant chemotherapy, sustainability of the intervention
Starting date July 2019 (estimated completion date September 2023)
Contact information Deborah Schrag
Notes  

NCT03995082.

Study name A Randomized Study of Breast Cancer Patient Engagement With Patient Reported Outcome Measure Survey Results
Methods Parallel randomised trial, USA
Participants Women aged >=18, diagnosed with breast cancer
Interventions Intervention: participants complete a patient‐reported outcome measure and receive a graphic depiction of their score
Comparison: participants complete a patient‐reported outcome measure but are not provided feedback
Outcomes Main outcome: patient satisfaction with patient‐provider communication
Other outcomes: patient satisfaction (other domains), healthcare use
Starting date October 2019 (estimated completion date July 2021)
Contact information Sarah Tevis (sarah.tevis@ucdenver.edu)
Notes  

NCT04066868.

Study name Evaluating the Use of Patient‐Reported Outcome Measures for Improving the Inter‐Rater Reliability of Common Terminology Criteria for Adverse Event Ratings
Methods Randomised parallel trial, Austria
Participants Inclusion criteria: patients >=18 years with a cancer diagnosis, currently receiving chemotherapy or immunotherapy, with symptom burden equal or greater score 3 of the screening question "On a scale of 0 to 10, to what degree did you experience physical or emotional symptoms/problems during the last week?"
Exclusion criteria: psychiatric diagnosis or mental health problems
Interventions All participants complete patient‐reported outcome measures, the physicians of patients allocated to the intervention group receive feedback about their scores
Outcomes Main outcomes: patient‐reported quality of life, physician‐rated quality of life
Starting date February 2020 (estimated completion date August 2021)
Contact information Bernhard Holzner (bernhard.holzner@tirol‐kliniken.at
Notes  

NCT04069455.

Study name A Randomized, Multi‐center, Prospective Study Evaluating e‐Patient Report Outcomes (ePRO) for Adjuvant Chemotherapy in Chinese Patients With Colorectal Cancers
Methods Randomised parallel trial, China
Participants Adults aged 18 to 75 years old, diagnosed with colorectal cancer, who underwent radical surgery for cancer
Interventions Intervention: participants will report their symptoms using a we‐based system, and will receive severity‐based advice
Comparison: usual care
Outcomes Main outcomes: global health and functional scores; health‐related quality of life
Other outcomes: adverse events; proportion of completed chemotherapy; overall survival
Starting date October 2019 (estimated completion date September 2024)
Contact information Ding Ke‐Feng
Notes  

NCT04164004.

Study name Randomized Trial of Patient‐Reported Outcome Measurement in Heart Failure Clinic
Methods Randomised parallel trial, USA
Participants Adults aged >= years, attending Heart Failure clinic
Interventions Intervention: participants will complete a condition‐specific patient‐reported outcome measures and results will be made available to the treating clinicians
Comparison: usual care
Outcomes Main outcome: health status, completion of patient‐reported outcome measure
Other outcomes: percentage of participants on different medications, percentage of participants with other therapies, referral to other clinics, medication adjustment, healthcare use
Starting date May 2020 (estimated completion date May 2022)
Contact information Alexander T Sandhu
Notes  

NCT04342260.

Study name Improving Quality of Life After Thoracic Surgery Using Patient‐Reported Outcomes
Methods Randomised parallel trial, USA
Participants Adults aged >= 18 years, presenting for inpatient thoracic surgery
Interventions Intervention: participants will complete patient‐reported outcome measures, treating clinicians will be alerted when the scores exceed baseline postoperative scores by 2 points or more, or when 'severe' or 'very severe' symptoms are reported
Comparison: participants will complete patient‐reported outcome measures, however treating clinicians will not be alerted
Outcomes Main outcomes: quality of life, disease‐specific quality of life, percentage of completed surveys, percentage of surveys that trigger a response, barriers and facilitators of using patient‐reported outcome measures
Other outcomes: readmission, overall survival, percentage of quality of life surveys completed
Starting date April 2020 (estimated completion date May 2024)
Contact information Gita Mody
Notes  

NCT04356209.

Study name Improving Theempowerment in Patients With Severe Breast Fibrosis Radio‐induced Treated by Pravastatin: Benefit of e‐PROs (Electronic " Patient Reported Outcome ") on Breast‐related Quality of Life
Methods Randomised parallel trial, France
Participants Adults aged >=18 years, treated by conserving surgery followed by adjuvant RT
Interventions Intervention: symptoms and health status will be collected using patient‐reported outcome measures, supported by a web interface
Comparison: usual care
Outcomes Main outcome: breast‐related quality of life
Other outcomes: health‐related quality of life; use of antidepressants, analgesics and anxiolytics; other outcomes
Starting date September 2020 (estimated completion date June 2025)
Contact information Celine Bourgier (celine.bourgier@ivm.unicancer.fr)
Notes  

NCT04393571.

Study name The Utility of Mobile Based Patient Reported Outcome Measures(PROMS) in Patients With Acetabular Fractures: A Randomized Controlled Trial.
Methods Randomised parallel trial, Egypt
Participants Adults aged >= 18 years scheduled for surgery for an acetabular fracture
Interventions Intervention: participant's quality of life will be collected using a mobile application
Comparison: unclear
Outcomes Main outcome: percentage of missed follow up data
Other outcome: ability of the mobile application to rapidly detect the occurrence of serious postoperative complication
Starting date October 2020 (estimated completion date October 2023)
Contact information Mohammed Kamal Abdelnasser
Notes  

NCT04401332.

Study name Integrating Patient‐Reported Outcomes Into Routine Primary Care: Monitoring Asthma Between Visits
Methods Randomised parallel trial, USA
Participants Inclusion criteria: patients attending primary care appointments at one of eligible outpatient clinics, with at least one asthma‐related visit in the past 12 months, aged >=18 years, able to provide consent, speak English and use a compatible smartphone
Interventions Patients allocated to intervention will have access to asthma symptom monitoring via a clinically integrated mobile health (mHealth) app installed on their smartphones. Comparison will be usual care.
Outcomes Main outcome: asthma‐related quality of life (6 and 12 months, using Mini Asthma Quality of life Questionnaire)
Other outcome: asthma‐related healthcare use
Starting date  
Contact information Robert S Rudin (rrudin@rand.org)
Notes  

NCT04492007.

Study name Feasibility Testing of Patient Reported Outcomes ‐ Informed Symptom Management System (PRISMS)
Methods Randomised parallel trial, USA
Participants Inclusion criteria: patients aged >=40 years who have underwent surgery for colorectal, bladder, ovarian, cervical, or uterine cancer with curative intent; be within 2 weeks of hospital discharge of a newly created ostomy with curative intent; have a caregiver. Caregivers: >= 18 years, without a previous diagnosis of cancer.
Exclusion criteria: additional cancer diagnosis, unable to understand English or provide consent
Interventions Participants allocated to the intervention have access to PRISMS, an online portal where they can complete questionnaires, receive personalised feedback and guidance based on their symptoms and signs, and access a peer support online forum. Those allocated to the comparison group receive usual care.
Outcomes Main outcomes: recruitment rate, enrolment rate, retention rate, satisfaction with the programme, perceived ease of use of the programme
Other outcomes: quality of life, healthcare use
Starting date November 2020 (estimated completion rate June 2021)
Contact information Shenmeng Xu (shenmeng@email.unc.edu)
Notes  

Paladino 2019.

Study name THRIVE Breast Cancer App Study (THRIVE)
Methods Randomised parallel trial. USA
Participants Inclusion criteria: Adult female patients (age≥18) diagnosed with ductal carcinoma in situ or Stage I‐III hormone receptor‐positive breast cancer, who have been prescribed an aromatase inhibitor or tamoxifen and have access to a mobile device or home computer and an email address.
Interventions Intervention arm 1: patients will access an application to report medication adherence and symptoms; concerning changes or symptoms will trigger an automatic alert to the oncology team.
Intervention arm 2: similar to arm 1; additionally, patients will receive weekly tailored feedback messages and/or images.
Arm 3: "Usual Care" group
Outcomes Main outcome: medication adherence
Other outcomes: change in Functional Assessment Of Cancer Therapy‐Endocrine Subscale (FACT‐ES) Score; Short Form Health Survey (SF‐12) Score; Patient‐Reported Outcomes Measurement Information System (PROMIS) Self‐Efficacy for Managing Symptoms Score
Starting date Novermber 2018 (expected completion date September 2022)
Contact information Andrew Paladino
Notes Trial registry NCT03592771

Roberts 2019.

Study name Patient Reported Outcomes in the Medical Oncology Setting (iPROMOS)
Methods Cluster randomised trial, Australia
Participants Adults aged >= years, attending for medical review in oncology outpatient settings
Interventions Intervention: when attending clinic, participants will be asked to complete a patient‐reported outcome measure; feedback will be given to the participant and a copy put into their medical record
Comnparison: usual care
Outcomes Main outcome: successful implementation of the intervention
Other outcomes: hospital admissions, emergency room presentations, survival
Starting date March 2018
Contact information Natasha Roberts
Notes Trial registry ACTRN12618000398202

Rogers 2018.

Study name Improving Quality of Life Through the Routine Use of the Patient Concerns Inventory for Head and Neck Cancer Patients
Methods Parallel randomised trial, UK
Participants Adults aged between 18 and 90 years, with head and neck cancer
Interventions Intervention: participants complete the patient‐reported outcome measure during clinics
Comparison: usual care
Outcomes Main outcome: overall quality of life
Other outcomes: distress, health economics
Starting date January 2017
Contact information Simon N Rogers
Notes Trial registry NCT03086629

Rogers 2019.

Study name  
Methods Randomised trial, United Kingdom.
Participants Patients with head and neck cancer. 
Interventions Assessment and feedback using the Patient Concerns Inventory (PCI) vs usual care. 
Outcomes Main outcome: percentage of patients with less than good overall quality of life at one year. 
Secondary outcomes: Social‐emotional quality of life, distress thermometer, and health economic measures including quality‐adjusted life years. 
Starting date  
Contact information  
Notes Funded by the National Institute for Health Research (UK). 

Seppen 2020.

Study name SeMoRa‐3 study. Self‐monitoring in rheumatoid arthritis
Methods Randomised parallel trial. The Netherlands
Participants Inclusion criteria: Adults who own a smartphone, diagnosed with rheumatoid arthritis by a rheumatologist for >=2 years, with low disease activity and taking a disease‐modifying anti‐rheumatic drug
Interventions Patients allocated to the intervention group will have access to the MyRheumatism application, which collects weekly self‐assessed questionnaire data (up to three reminders). Data will be transmitted through secure servers to the electronic medical record, where it will be revised by healthcare professionals.
Outcomes Main outcomes: disease activity, number of outpatient clinic visits
Starting date 1 June 2019
Contact information Bart Seppen. Email: b.seppen@reade.nl
Notes Trial registry NL7715

Serrano‐Ripoll 2019.

Study name Improving Patient Safety in Spanish Primary Care (PC) Centres (SinergiAPS)
Methods Randomised cluster trial, Spain
Participants Inclusion criteria: Spanish speaking patients who have visited their primary care centre at least once in the previous 12 months
Exclusion criteria: overt psychosis/critically ill/altered mental status, unable to provide written informed consent
Interventions Patients attending practices allocated to the intervention complete a questionnaire about their safety experiences, which are immediately fed back to the primary healthcare providers. Patients in control practices complete the same questionnaire, which are fed back to the primary healthcare providers after post‐intervention data have been collected.
Outcomes Main outcome: change in the Patient Safety Climate Synthetic Index
Other outcomes: patient safety experiences in Primary Care settings (PREOS‐PC), rate of avoidable hospitalisations
Starting date May 2019 (estimated completion date December 2020)
Contact information Ignacio Ricci‐Cabello (ignacio.ricci@ssib.es)
Notes Trial registry NCT03837912

Differences between protocol and review

We modified the search strategies based on editorial feedback received while conducting the review.

For the main outcomes, we specified the patient‐reported outcomes as quality of life, general health perceptions, functioning (physical, mental, and social), and symptoms (pain, fatigue, nausea, vomiting, cough, anxiety, and depression).

Contributions of authors

  • Conceiving and designing the review: CG, DBG, JMV

  • Coordinating the review: CG, JMV

  • Data collection for the review: CG, IP, IRC, DGB, EJG, AK, PB, JA, JG, PJvdW, EK, ET, JG, AD, SS, JE

  • Data management for the review: CG, IP, JMV

  • Analysis of data: CG, IP, JMV

  • Interpretation of data: CG, IP, DGB, JMV

  • Writing the review: CG, IP, DGB, JMV

  • Providing general advice on the review: CG, IP, IRC, DGB, EJG, AK, PB, JA, JG, PJvdW, EK, ET, JG, AD, SS, JE, JMV

All the authors approved the final version submitted for publication.

 

Contributions of the editorial base (since 2019)

Managing editor (EPOC): Organised and contributed to one round of peer review and organised two rounds of corrections with the editorial staff and editors.

Contact editor: contributed to one round of peer review and subsequent rounds of corrections. Led sign‐off of the review for publication (Michel Wensing). 

Information specialist (EPOC): undertook two rounds of searching and contributed to peer review (Paul Miller); and

Statistical Editor (EPOC): contributed to peer review, provided feedback to the authors to support revisions, and provided input to two rounds of further corrections. Provided sign‐off for the statistical elements of the review (Andrew Hutchings)

Sources of support

Internal sources

  • University of Exeter, UK

    Provided salary for Jose M Valderas throught the period

External sources

  • National Institutes of Health Research (NIHR) grant, UK

    “Improving the management of long term conditions with the clinical use of patient reported outcome measures in Primary Care”, awarded to Jose M Valderas (NIHR/CS/010/024)

Declarations of interest

All of the authors have completed deceleration of interest forms as standard procedure for undertaking a Cochrane review. These decelerations were updated and re‐checked prior to publication. With the exception of the following authors, all authors declared no known conflicts interest. The authors declaring below are not perceived to hold any conflict of interest related to the review and its work. 

Chris Gibbons: Chris holds an National Institute for Health Research (UK) ‐ Post‐doctoral and career development Fellowship. This grant is designed to foster his development as an independent researcher. As part of this work, he will develop a computerised questionnaire administration system with the goal of improving patient‐provider communication in primary care. 

Joanne Greenhalgh is currently President‐Elect of the International Society for Quality of Life Research (ISOQOL) and from 2021‐2023 will be president of ISOQOL.

Anna Kotzeva has not received any payment or services from a third party for any aspect of the submitted work. Ann would like to note the following, albeit that this does not constitute a conflict of interest with this review:  In the beginning of the review Anna was employed by the Agencia de Qualitat i Avaluacio Sanitaries de Catalunya (Spain) and this institution has received grants from the Spanish Ministry of Science and Innovation and the European commission (ICT PSP as part of the Competitiveness and Innovation Framework Programme). Currently, Anna is employed by F. Hoffmann ‐ La Roche (Basel, Switzerland) but has not received any payment or funding for the work on this manuscript.
The author has had financial relationships with: the Universitat Oberta de Catalonia (UOC) receiving remuneration for online lectures and development of educational materials; the European Patient Forum covering travel and accommodations expenses for speaking at conference workshops.

Jose Valderas has undertaken consultancy for the WHO but this is unrelated to this review. 

New

References

References to studies included in this review

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Schriger 2001 {published data only}

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Anderson 2018 {published data only}

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Janssens 2015 {published data only}

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Jones 2016 {published data only}

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Kesanen 2017 {published data only}

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Kwan 2017 {unpublished data only}

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Liimatta 2017 {published data only}

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Murff 2017 {published data only}

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Paterson 2017 {published data only}

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Roberts 2017 {published data only}

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Sepucha 2019 {published data only}

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Sonal Sekhar 2018 {published data only}

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Stump 2017 {published data only}

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Voruganti 2017 {published data only}

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Weiss 2019 {published data only}

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Absolom 2017 {published data only}

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ACTRN12620000174987 {published data only}

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Arts 2017 {published data only}

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ChiCTR1900020846 {published data only}

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Grove 2018 {published data only}

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Kendrick 2020 {published data only}

  1. ISRCTN17299295. Patient-reported outcome measures for monitoring primary care patients with depression: PROMDEP randomised controlled trial. www.isrctn.com/ISRCTN17299295 (first received 1 January 2018).
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Kuklinski 2020 {published data only}

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Kyte 2018 {published data only}

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Mamguem Kanga 2020 {published data only}

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Matsuda 2018 {published data only}

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NCT02591472 {published data only}

  1. NCT02591472. An integrated-delivery-of-care approach to improve patient outcomes, safety, well-being after orthopaedic trauma. clinicaltrials.gov/ct2/show/NCT02591472 (first received 29 October 2015).

NCT02673580 {published data only}

  1. NCT02673580. Tele-patient-reported Outcomes (telePRO) in clinical practice. clinicaltrials.gov/ct2/show/NCT02673580 (first received 4 February 2016).

NCT02818478 {published data only}

  1. NCT02818478. Patient reported outcomes reported via PC/ tablet home versus touch screen at hospital among patients with arthritis (PRO). clinicaltrials.gov/ct2/show/NCT02818478 (first received 29 June 2016).

NCT02917954 {published data only}

  1. NCT02917954. Electronic patient reported outcome (ePRO) mobile application pragmatic trial. clinicaltrials.gov/ct2/show/NCT02917954 (first received 28 September 2016).

NCT02949167 {published data only}

  1. NCT02949167. MyHealth: follow-up after breast cancer treatment. clinicaltrials.gov/ct2/show/NCT02949167 (first received 31 October 2016).

NCT02996201 {published data only}

  1. NCT02996201. Electronic patient reporting of side effects to chemotherapy: a cluster randomized controlled trial. clinicaltrials.gov/ct2/show/NCT02996201 (first received 19 December 2016).
  2. Pappot H, Baeksted C, Knoop A, Mitchell SA, Nissen A, Johansen C. Routine surveillance for symptomatic toxicities with real-time clinician reporting in Danish breast cancer patients-Organization and design of the first national, cluster randomized trial using the Patient-Reported Outcomes version of Common Terminology C. Breast Journal 2019;25(2):269-272. [DOI] [PubMed] [Google Scholar]

NCT03056469 {published data only}

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NCT03093649 {published data only}

  1. NCT03093649. Measuring patient-reported adverse events in oncology practice improves quality of life in nasopharyngeal carcinoma. clinicaltrials.gov/ct2/show/NCT03093649 (first received 28 March 2017).

NCT03202732 {published data only}

  1. NCT03202732. DiabetesFlex - Patient involvement and patient-reported outcome measures in Type 1 diabetes. clinicaltrials.gov/ct2/show/NCT03202732 (first received 29 June 2017).

NCT03240913 {published data only}

  1. NCT03240913. A PROMs based educational tool (PROM-DA) for patients considering total knee arthroplasty. clinicaltrials.gov/ct2/show/NCT03240913 (first received 7 August 2017).

NCT03249090 {published data only}

  1. NCT03249090. Electronic patient reporting of symptoms during cancer treatment (PRO-TECT). clinicaltrials.gov/ct2/show/NCT03249090 (first received 15 August 2017).
  2. Stover AM, Henson S, Deal AM, Stricker CT, Hammelef KJ, Bennett AV, et al. Methods for alerting clinicians to concerning symptom questionnaire responses during cancer care: approaches from two randomized trials (STAR, AFT-39 PRO-TECT). Journal of Clinical Oncology 2018;36:30. [Google Scholar]

NCT03471104 {published data only}

  1. NCT03471104. Patient-reported outcome measures in diabetes care (DiaPROM). clinicaltrials.gov/ct2/show/NCT03471104 (first received 20 March 2018).

NCT03535922 {published data only}

  1. NCT03535922. Evaluation of routinely measured patient-reported outcomes in hemodialysis care. clinicaltrials.gov/ct2/show/NCT03535922 (first received 24 May 2018).

NCT03608410 {published data only}

  1. NCT03608410. Intensified follow-up of lung cancer using weekly questionnaires via the Internet (ProWide). clinicaltrials.gov/ct2/show/NCT03608410 (first received 1 Augus 2018).

NCT03850912 {published data only}

  1. NCT03850912. Symptom Management Implementation of Patient Reported Outcomes in Oncology (SIMPRO). clinicaltrials.gov/ct2/show/NCT03850912 (first received 22 February 2019).

NCT03995082 {published data only}

  1. NCT03995082. Breast cancer patient engagement with patient reported outcome measure survey. clinicaltrials.gov/ct2/show/NCT03995082 (first received 21 June 2019).

NCT04066868 {published data only}

  1. NCT04066868. Evaluating the use of patient-reported outcome measures for improving the inter-rater reliability of common terminology criteria for adverse event ratings. clinicaltrials.gov/ct2/show/NCT04066868 (first received 26 August 2019).

NCT04069455 {published data only}

  1. NCT04069455. ePRO for adjuvant therapy of colorectal adenocarcinoma. clinicaltrials.gov/ct2/show/NCT04069455 (first received 28 August 2019).

NCT04164004 {published data only}

  1. NCT04164004. Patient-Reported Outcome Measurement in Heart Failure Clinic (PRO-HF). clinicaltrials.gov/ct2/show/NCT04164004 (first received 15 November 2019).

NCT04342260 {published data only}

  1. NCT04342260. Improving quality of life after thoracic surgery using patient-reported outcomes. clinicaltrials.gov/ct2/show/NCT04342260 (first received 10 April 2020).

NCT04356209 {published data only}

  1. NCT04356209. Improving The empowerment inpatients with severe breast fibrosis radio-induced treated by pravastatin: benefit of e-PROs (Electronic " Patient Reported Outcome ") on breast-related quality of life (PRAVACUR-02). clinicaltrials.gov/ct2/show/NCT04356209 (first received April 2020).

NCT04393571 {published data only}

  1. NCT04393571. The utility of mobile based patient reported outcome measures in patients with acetabular fractures: a randomized controlled trial. clinicaltrials.gov/ct2/show/NCT04393571 (first received 19 May 2020).

NCT04401332 {published data only}

  1. NCT04401332. A randomized controlled trial of AppS To Home Monitor your Asthma (ASTHMA). clinicaltrials.gov/ct2/show/NCT04401332 (first received 26 May 2020).

NCT04492007 {published data only}

  1. NCT04492007. Feasibility Testing of Patient Reported Outcomes - Informed Symptom Management System (PRISMS). clinicaltrials.gov/ct2/show/NCT04492007 (firs received 30 July 2020).

Paladino 2019 {published data only}

  1. Paladino AJ, Anderson JN, Krukowski RA, Waters T, Kocak M, Graff C, et al. THRIVE study protocol: a randomized controlled trial evaluating a web-based app and tailored messages to improve adherence to adjuvant endocrine therapy among women with breast cancer. BMC Health Services Research 2019;19(1):977. [DOI] [PMC free article] [PubMed] [Google Scholar]

Roberts 2019 {published data only}

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Rogers 2018 {published data only}

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Rogers 2019 {published data only}

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Seppen 2020 {published data only}

  1. Seppen BF, L'ami MJ, Duarte Dos Santos Rico S, Ter Wee MM, Turkstra F, Roorda LD, et al. A smartphone app for self-monitoring of rheumatoid arthritis disease activity to assist patient-initiated care: protocol for a randomized controlled trial. JMIR Research Protocols 2020;9(2):e15105. [DOI: 10.2196/15105] [DOI] [PMC free article] [PubMed] [Google Scholar]

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