Abstract
Patient Reported Outcomes (PRO) are at the core of assessing RA treatment response with patient assessments of global health or disease activity, pain, and physical function included in the calculation of American College of Rheumatology (ACR) responses. Progress has been made in assessing PROs that include additional patient-valued aspects of disease in recent RA randomized clinical trials (RCTs), particularly fatigue. Importantly, the National Institute of Health (NIH) - Patient Reported Outcomes Measurement Information System (PROMIS) development of psychometrically advanced generic health measures that span the range of symptoms potentially affected in RA, with high precision across the entire range of a symptom are undergoing additional study in RA and other rheumatologic diseases to establish their construct validity, responsiveness, and clinically meaningful cutoffs. PRO measures that are currently used and widely available can provide important perspectives not captured in composite clinical response criteria with the potential of better informing treatment decisions in clinical practice.
Keywords: Rheumatoid Arthritis (RA), Patient Reported Outcomes (PRO), Patient Reported Outcomes Measurement Information System (PROMIS), Fatigue, Stiffness
Introduction
In recent years, there has been increasing emphasis from multiple groups to integrate outcomes that reflect the symptoms and life impact of disease of most relevance to patients as endpoints in clinical trials and as part of standard clinical assessments in practice (1–4). Patient Reported Outcomes (PROs) are outcomes assessed directly from the patient, without interpretation from the physician.
Some PROs have been included as part of Rheumatoid Arthritis (RA) composite outcome measures used in clinical trials (CTs) and clinical assessment for many years. Those routinely collected however reflect only global disease activity or general health, pain, and physical function, and may not encompass the spectrum of symptoms, health related quality of life, and disease impact experienced by patients. The Outcome Measures in Rheumatology Clinical Trials (OMERACT) group played a crucial role in this effort which led to development of the first core set for outcomes in RA CTs in 1994 (5, 6). There is now evidence from a systematic review that elements in the initial RA core set are increasingly being assessed in RA clinical trials; however, the use of the core set is frequently incomplete, and there is wide heterogeneity in terms of choices for outcome measures (7). Heterogeneity in CT outcomes and outcome measures make treatment effectiveness comparisons more difficult.
Evolution of PRO Development and Validation
The original OMERACT filter (of measure truth, discrimination, feasibility) and framework (8) for selecting and developing core outcome measures was recently revised to be applicable across diseases and conditions, and emphasized the importance of patient input in determining the domains of relevance to their health condition and improve generalizability of the process across diseases and study designs (9–12). Recognizing the importance of the patient perspective, OMERACT involved patients as research partners in outcome measure development beginning in 2002 (13).
The US National Institutes of Health (NIH) initiative, Patient-Reported Outcomes Measurement Information System (PROMIS®, www.nihpromis.org) is a multi-disciplinary effort to develop and standardize PRO measures across the spectrum of domains of health-related quality of life applicable for multiple chronic medical conditions. This system was developed based on item response theory to provide a population-normalized metric, with limited floor and ceiling effects, and improved precision compared to most PROs in common use (14). The NIH-PROMIS framework is based on the 2001 World Health Organization (WHO) International Classification of Functioning Disability and Health (ICF) framework (15) and encompasses item banks and instruments for physical, emotional, and social health, applicable across many chronic diseases, including RA. PROMIS measures are reported as a T-score, with the US population mean of 50 for all domains, and a change in 10 representing 1 standard deviation.
In part because of the variability of PROs currently in use and questions concerning their validation within the patient populations included in clinical trials, the US Food and Drug Administration (FDA) has put forward guidance for the drug industry on the use of PROs as end points in RCTs, which includes a requirement for patient input at early stages to develop a conceptual framework and ensure the content validity of draft instruments (16). More recently, there has been guidance toward validating PRO instruments in new populations, a process that may begin in phase II RCTs, to hypothesize on and test psychometric properties of PROs before engaging in larger scale trials (17). The Critical Path Institute (C-Path) brings together the FDA and industry in a partnership to enhance development of therapeutics resulting from medical research. Within C-Path, the PRO Consortium is concerned with developing PRO measures for use as endpoints in CTs. An RA working group was established in 2010 to focus on RA-related signs and symptoms (18).
Developing the evidence towards qualified PROs requires considerable validation efforts and a rigorous process to ensure that measures are reflective of the intended concept, and are reliable, responsive, and interpretable in their intended setting. The COnsensus-based Standards for the selection of health status Measurement Instruments (COSMIN) group had previously developed a checklist to ensure PRO properties and quality were standardized (19, 20). The International Society of Quality of Life Research (ISOQoL) and the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) have recently published standards for PRO development and validation (21–26).
The European League against Rheumatism (EULAR) (27) has also recognized the importance of patient involvement as partners in research and practice guideline development, and has developed new PROs for RA (28) and psoriatic arthritis (29) that are more inclusive of patient-valued domains of health than the current RA core set. EULAR has also established an outcome measure library (http://oml.eular.org/) where multiple PRO measures are available with information on source, development process, existing evidence for validation and available translations (30).
The Patient Centered Outcomes Research Institute (PCORI) in the US issued methods guidance for medical research (4, 31) to prioritize patient centered outcomes, in contrast to traditional comparative effectiveness research endpoints. PCORI methodology standards place emphasis on patient involvement in all stages of medical research, from decisions on prioritization of research agenda to dissemination and implementation of research findings.
There have been a number of new developments in PROs for RA since the last review on the topic in 2012 (32). RCTs of tofacitinib have been finalized and this drug gained FDA approval for RA treatment and including PRO endpoints (33–36). Head-to-head biologic (37–39) and medication tapering RCTs have also been conducted (40, 41) with information on PROs. Consensus on important patient-valued aspects of health-related quality of life for RA patients experiencing a flare has been reported that expands beyond the traditional RA Core set to include fatigue, stiffness, participation, and self-management (42–45). And as noted above EULAR has developed a new PRO, the RA Impact of Disease (RAID) to more comprehensively assess the range of patient-valued domains, including fatigue, sleep, physical/emotional well-being and coping. The introduction of fatigue as a core PRO represents a landmark in RA and is a direct consequence of patient involvement as research partners (12, 13, 46).
Patient Reported Outcomes in RA Clinical Trials
Methods
Prior reviews of PROs in RA have been published in 2012 (32) and 2013 (7), and evaluated measures used through 2011 and early 2012, respectively. It was our purpose to provide an update on PROs used in RA CTs performed in 2012 through present, and to discuss PROs recently developed or in development for RA.
We performed a literature search of PubMed on 8/25/2014 using terms ("Arthritis, Rheumatoid"[Mesh] OR "rheumatoid arthritis" OR "RA") AND ("Clinical Trial" [Publication Type] OR "clinical trial" OR "RCT" OR "randomized" OR "clinical" OR "trial") and activated filters: clinical trial, publication date from 2012/01/01 to 2014/12/31 and humans. The following data were uniformly extracted from each paper: agent/intervention, study type, number of participants, primary endpoint, primary endpoint PRO (y/n) and specific PRO used, secondary endpoint PRO(s) (y/n) and specific PRO(s) used.
Results
The literature search yielded 879 entries. After review of titles and abstracts, 121 entries representing randomized controlled trials (RCTs) conducted in RA and reported in the English language were included and were retained for full text review. Based on full text review, 15 papers were excluded for the following reasons (number of entries): secondary analyses of RCT data (5); no full text available (5); focus was not RA (3); longitudinal observational study (1); phase I clinical trial (1). One hundred and six papers representing 96 unique RCTs were retained for data extraction and constitute the basis for this review.
Of 96 RCTs one was phase IV, 63 were phase III and 33 were phase II or proof of concept. There were 64 biologic Disease Modifying Anti-Rheumatic Drugs (bDMARDs) (2 biosimilar), 8 traditional DMARDs (tDMARDs) and prednisone, 16 other agents (small molecules, other drugs/formulations); and 8 non-drug interventions. In 13 RCTs PROs were assessed as primary outcomes (6 phase III bDMARD, 1 tDMARD, 6 non-drug). In 44 RCTs PROs were assessed as secondary outcomes. Primary outcomes of the 96 RCTs are summarized in Table 1.
Table 1.
RCT Outcomes | Primary (N=96) |
Co-primary |
---|---|---|
Composite | ||
ACR20/50/70 | 45 | 2 |
ACR-N | 2 | - |
DAS28 | 15 | 4 |
DAS44 | 1 | - |
EULAR response | 3 | - |
Modified ACR remission | 1 | - |
Patient Reported | ||
HAQ-DI | 2 | 8 |
DASH | 1 | - |
Pain VAS | 1 | - |
RADAI | - | 1 |
Clinician Reported | ||
DAS28CRP | 7 | - |
TJC, SJC | 2 | - |
Other | ||
Radiologic | 8 | 7 |
Safety | 5 | - |
NSAID requirement | 1 | - |
Joint protection behavior | 1 | - |
LDL reduction | 1 | - |
Abbreviations in order of appearance in text:ACR20/50/70 American College of Rheumatology response indices; ACR-N American College of Rheumatology Index of Improvement; DAS28 disease activity index with 28 swollen/tender joint counts; EULAR European League Against Rheumatism;HAQ-DI Health Assessment Questionnaire Disability Index; DASH Disability of the Arm Shoulder and Hand; VAS Visual Analog Scale; RADAI Rheumatoid Arthritis Disease Activity Index; DAS28CRP DAS28 disease activity index with 28 swollen/tender joint counts and C reactive protein; TJC, SJC tender, swollen joint counts; NSAID nonsteroidal anti-inflammatory drug; LDL low density lipoprotein;
PROs used in RA RCTs, in order of frequency were: physical function (HAQ-DI), ACR core set PRO components (patient pain, patient global, physical function), fatigue (FACIT-fatigue, fatigue 100 mm VAS), HRQL (SF-36, SF-12, EQ5-D, RAQoL), morning stiffness duration, patient self-assessment of disease activity (RAPID3, RADAI), self-efficacy (RASE, ASES-D), depression/anxiety and sleep (Table 2).
Table 2.
Patient Reported Domain | PROs (secondary outcomes, multiple outcomes per each RCT) |
Number of RCTs (N=96) |
---|---|---|
Physical Function* | HAQ-DI | 65 |
Patient Global* | VAS 100mm | 27 |
Pain* | Pain 100mm VAS | 30 |
McGill Pain Questionnaire | 1 | |
Brief Pain Inventory | 2 | |
Morning pain intensity | 1 | |
Fatigue | FACIT-Fatigue | 13 |
Fatigue 100mm VAS | 3 | |
RAQoL item #21 | 1 | |
Health Related Quality of Life | SF-36 | 16 |
RAQoL | 4 | |
SF-12 | 3 | |
EQ5D | 4 | |
EUROHIS-QUOL8 | 1 | |
Patient Reported Disease | RAPID3 | 2 |
Activity | RADAI | 1 |
Stiffness | Morning stiffness duration | 8 |
Self-Efficacy | ASES | 3 |
RASE | 1 | |
Mood | Beck Depression Inventory | 1 |
HADS Depression | 1 | |
HADS Anxiety | 2 | |
STAI Anxiety | 1 | |
Work Limitations | WLQ | 1 |
Sleep | MOS Sleep Scale | 1 |
PROs in the ACR RA core set(6)
Abbreviations in order of appearance in table: HAQ-DI Health Assessment Questionnaire - Disability Index;VAS Visual Analog Scale; FACIT-Fatigue Functional Assessment Chronic Illness Therapy-Fatigue; RAQoL Rheumatoid Arthritis Quality of Life; SF-36 Medical Outcomes Study Short Form-36; SF-12 Short Form-12; EQ5D EuroQoL 5D questionnaire; EUROHIS-QUOL8 EUROHIS (World Health Organization) Quality of Life 8-item index; RAPID3 Routine Assessment of Patient Index Data 3; RADAI Rheumatoid Arthritis Disease Activity Index; ASES Arthritis Self-Efficacy scale; RASE Rheumatoid Arthritis Self-Efficacy scale; HADS Hospital Anxiety and Depression Scale; STAI State-Trait Anxiety inventory; WLQ Work Limitations Questionnaire; MOS Sleep scale Medical Outcomes Study Sleep scale.
ACR Core Set PROs
The ACR core set (6) is measured in RA clinical trials through the ACR20/50/70 composite responses which require assessment of 3 PROs (patient global assessment of disease activity, pain, and disability) in addition to physician and laboratory data (tender/swollen joint counts, physician global assessment and inflammatory markers) (47). Disability as measured by the HAQ-DI has also been reported separately as a secondary outcome in a majority of RA trials. Pain and patient global assessment are rarely reported as separate outcomes, although it was demonstrated in CT datasets these PROs are significant independent predictors of treatment response (48) and they should also be reported individually.
Physical Function
Health Assessment Questionnaire - Disability Index (HAQ-DI) (49) a 41 item questionnaire (20 items for daily activities, 13 items assistive devices, 8 items for help from others), or its shortened 8 item version (M-HAQ) (50) have been almost universally assessed as secondary outcomes in RA RCTs according to the ACR core set (6). Recently the HAQ-DI was assessed as co-primary outcome with ACR20 responses and DAS indices in tofacitinib (33, 34), golimumab (51) and traditional DMARD (52) RCTs. Even though the concepts of disability and physical function are related, the HAQ–DI is limited by a floor effect in the absence of disability (a normal score is 0 to 0.5; total range is 0 to 3) since it has limited ability to detect change within the range of normal physical function (53). The M-HAQ is further limited by floor and ceiling effects. As expectations for functional status in RA have improved over the past decades (54) measures that can discriminate changes within the normal and higher performance range of physical abilities are needed. A change of 0.22 – 0.25 in the HAQ-DI is currently accepted as the minimum clinically important difference (MCID) in RCTs, however a recent study suggests the minimum clinically important improvement (MCII) is larger: a decrease of 0.375 would be needed in the HAQ score (55).
Patient Reported Outcomes Measurement Information System (PROMIS) -Physical Function
PROMIS is an NIH-funded project consisting of a library of generic health measures developed using item response theory and normalized to the US general population to compare health status in chronic diseases. PROMIS measures are free to use through www.nihpromis.org and the Assessment Center (www.assessmentcenter.net), and international expansion is ongoing (56). The PROMIS physical function PRO has been reported to date for RA (57–59), osteoarthritis (60) and scleroderma (61). The responsiveness of the PROMIS - Physical Function was superior to SF-36 and HAQ-DI in a study of RA patients, and the suggested MCID from a longitudinal observational study in RA was 0.2 SD (57). In a recent study the PROMIS - Physical Function 10-item computer adaptive test (CAT) had the most desirable coverage across the range of physical function, with greatly improved precision, especially at lower levels of disability and improved physical function compared to HAQ-DI and SF-36 physical functioning scale (58).
PROs of RA disease activity
Routine Assessment of Patient Index Data 3 (RAPID3) is a composite disease activity index consisting of the 3 PROs included in the ACR Core Set: disability, pain, and patient global assessment of disease activity (62). Disability is measured using the multidimensional HAQ (MD-HAQ) (63) a 10-item questionnaire that adds 2 items “(over the last week were you able to) walk 2 miles or 3 kilometers” and “participate in recreational activities and sports as you would like” to the 8-item MHAQ. For the calculation of RAPID3, MD-HAQ (range 0–3), patient global assessment of disease activity (DA) VAS (range 1–10) and pain intensity VAS (range 1–10) are entered into a total weighted score: (MDHAQ×3.33) + DA + Pain. RAPID3 scores range is 0–30, and disease activity categories are remission 0–3, low >3.1–6, moderate >6.1–12, and high >12. RAPID3 is currently used in clinical care by an estimated 29% of US rheumatologists and has been assessed in longitudinal cohorts (64). In a post-hoc analysis of a RCT of certolizumab, RAPID3 (computed using the original HAQ instead of the MDHAQ), had highest correlations with pain VAS (0.94) and patient global assessment (0.95) as might have been expected as they are components of the composite index. Correlations with DAS28 and with CDAI, which both include a patient global assessment, were 0.73 and 0.70 (65), respectively. In a longitudinal RA study, the correlation of RAPID3 with DAS28 and CDAI scores (averaged across 4 clinicians) was lower, 0.43 and 0.61 respectively (66). The MCID/MCII has not been defined for RAPID3. Additional questions concerning sleep and coping with (“dealing with”) anxiety/depression are included on the RAPID3 form suggested for use in clinical care, but are not included in the calculation of the value. Two RCTs with biologic agents included in this review assessed RAPID3 as a secondary outcome (Table 2). In the case of tocilizumab mean baseline RAPID3 scores were 5.2 and there was a statistically significant difference in RAPID3 mean decrease from baseline to 24 weeks (p<0.0001) between treatment arms: −2.33 in the tocilizumab arm versus −1.29 in the placebo arm (67). In a non-inferiority trial of abatacept versus adalimumab, RAPID3 scores at 52 weeks similarly decreased from baseline in both arms: −2.87 versus −2.74 respectively (37).
Rheumatoid Arthritis Impact of Disease (RAID) is a multidimensional PRO developed by EULAR with extensive patient involvement in selection of domains and domain weight attributions (28, 68). Domains assessed (highest to lowest weight as ranked by patients) are pain, functional disability, fatigue, sleep, physical/emotional well-being, and coping, measured as a separate numerical rating scale (NRS) for each concept measured. A simplified domain sum scoring has been proposed instead of the weighted score to increase feasibility (69).
Preliminary validation of RAID in RA has been performed in 1 multinational study (n=570 patients) where the highest correlations observed were with patient global assessment VAS (0.76), and DAS 28 (0.69) (28). Reliability in the same study was high (0.9, 95%CI: 0.96, 1.00), and the measure was sensitive to change after changes in treatment (standardized response mean 0.98, 95%CI: 0.96, 1.00)(28). The RAID was also examined in a cross-sectional study in the Oslo RA registry (n=1086) in which the highest correlations were observed with patient global VAS (0.82), pain VAS (0.80) and the Rheumatoid Arthritis Disease Activity Index (RADAI (0.82) (70). RAID thresholds for clinically significant change (minimally clinically important improvement, and patient acceptable symptom state) have been recently examined in one data set but require further study (71). While RAID is reflective of important domains and responsive to change, its utility as an endpoint in RCTs and clinical care has yet to be established, and its psychometric evaluation using modern measurement theory methods has not been reported. Importantly, RAID includes an assessment of fatigue, the third highest domain prioritized by patients in its derivation and also confirmed as important in many prior studies (46).
Health Related Quality of Life
Medical Outcomes Study Short Form – 36 (SF-36) is a generic 36-item HRQL measure that is frequently used in RA clinical trials with higher scores indicating better health (72). The measure is proprietary with a charge per use and its complex scoring algorithm severely limits its utility in clinical practice settings. The SF-36 has 8 component sub-scales (physical functioning, role physical, bodily pain, general health, vitality, social functioning, role-emotional, mental health) and can also be scored into 2 summary scales: the physical health summary (PCS) and the mental health summary (MCS). The minimally important changes in these scales have been determined in RA at 4.4 for PCS and 3.1 for MCS (73, 74). There is a similar RAND-36 measure of HRQL (the original SF-36 used in the Medical Outcomes Study) that is free of charge, but its utility in clinical care is similarly limited by its complex scoring algorithm (75). SF-12 Health Survey is a generic 12-item short form derived from the original SF-36 items to increase feasibility of administration (76) (77). The SF-36 physical functioning scale has been compared to the HAQ-DI and to PROMIS physical function. The performance of the SF-36 physical functioning scale and HAQ-DI are largely dependent on the level of physical function with the SF-36 best identifying change in the normal physical function range and HAQ-DI in the lower physical function range, limiting the usefulness of either one for patients along the continuum of physical abilities or at higher levels of physical functioning (53, 58, 78). Variation in physical capacity is expected to occur during the course of rheumatologic disease, RA in particular where periods of flare and remission are part of the disease experience (9, 43).
Rheumatoid Arthritis Quality of Life (RAQoL) is a RA-specific multidimensional 30- item questionnaire with dichotomous (yes/no) items. The questionnaire has data to support reliability, validity and sensitivity to change in RA, it is however infrequently used in RA clinical trials due to its impractical length as a single disease-specific measure and the inherent psychometric limitations of instruments containing only dichotomous response options (79).
Fatigue
Fatigue was first recommended for inclusion in RA clinical trials by OMERACT since 2007 (46, 80) and is increasingly is being assessed in RCTs; measures of fatigue were specifically reported in 17 of 96 RCTs in the past 2 years. The different fatigue measures used in RA have been previously reviewed (81) including a VAS and the Functional Assessment Chronic Illness Therapy-Fatigue (FACIT-F). New validation data concerning the use of the RA-specific Bristol Rheumatoid Arthritis Fatigue (BRAF) measure are available as well as preliminary data on use of PROMIS-Fatigue measures in osteoarthritis (60), scleroderma (61) and RA (82). As noted above the RAID includes a fatigue item within its calculation, but the independent fatigue scores have not been reported in clinical trials to date.
Functional Assessment Chronic Illness Therapy-Fatigue (FACIT-F) has commonly used in RA RCTs. FACIT-F is a 13-item PRO that covers multiple fatigue dimensions, initially developed in patients with anemia in oncology and subsequently adapted for use in other chronic conditions (83). Higher scores reflect less fatigue. FACIT-F has been used in RA and showed reliability, validity and sensitivity to change (84). A minimally important difference (MID) in RA has been confirmed at 3–4 points on a scale of 0–52 (84). Table 3 summarizes changes in FACIT-F in recent RCTs. In most RCTs, FACIT-F changes exceeded the MID with effective RA therapy and in many cases was able to discriminate between treatments (Table 3).
Table 3.
RCT (N=13) |
Agent / Active comparator |
Interval (wks) |
Active Arm(s)- Mean change from baseline (SD,- not provided) |
Placebo/MtTX* Arm- Mean change from baseline (SD) |
P value |
---|---|---|---|---|---|
Phase IV | |||||
Gabay C, 2013 | Tocilizumab 8/ | 24 | 11.40 (−) | - | 0.08 |
Adalimumab | 8.90 (−) | ||||
Phase III | |||||
Strand V, 2012 | Ada*+Mtx*/ | 104 | 14.60 (−) | 13.5 (−) | <0.001 |
Adalimumab/ | 14.60 (−) | 0.900 | |||
Bingham C, 2014 | Golimumab iv | 24 | 7.96 (10.8) | 2.54 (10.2) | <0.001 |
Genovese M, 2012 | Golimumabsc | 24 | 7.23 (8.6) | 2.16 (9.5) | <0.001 |
Butgereit F, 2013 | MR-Prednisone | 12 | 3.80 (−) | 1.6 (−) | 0.003 |
Yazici Y, 2012 | Tocilizumab 8 | 24 | 8.43 (−) | 5.89 (−) | <0.001 |
Strand V, 2012 | Tocilizumab 8 | 24 | 8.83 (−) | 4.22 (−) | 0.015 |
Tocilizumab 4 | 6.66 (−) | NS | |||
Lee EB, 2014 | Tofacitininb | 24 | not provided | not provided | |
Kremer J, 2013 | Tofacitininb 10 | 24 | 3.15** (1.27, 5.02) | - | |
Tofacitinib 5 | 2.85** (0.95, 4.74) | ||||
Fleischman RM, 2012 | Tofacitininb 10 | 12 | 8.00 (−) | 2.80 (−) | <0.001 |
Tofacitinib 5 | 6.70 (−) | ||||
Phase IIB | |||||
Weinblatt M, 2013 | Fostamatinib 150 | 24 | 5.70 (1.0) | 4.50 (0.9) | NS |
Fostamatinib 100 | 7.40 (1.0) | <0.050 | |||
Kremer J, 2012 | Tofacitinib | no improvement data not shown | data not shown | ||
Fleischman RM, 2012 | Tofacitinib 5/ | improvement vs placebo data not shown | NS | ||
Tofacitinib 10/ | <0.001 | ||||
Tofacitinib 15/ | NS | ||||
Adalimumab | NS |
Higher scores reflect less fatigue, clinically meaningful change is ≥4 points (84)
Methotrexate, Adalimumab
Difference from placebo (95%CI)
Fatigue visual analog scales (VAS)
These have also been used, with the caveats that fatigue VAS are not standardized, descriptions of the exact items and anchors are lacking, and therefore these measures may not be interchangeable when compared across interventions (85).
The Bristol Rheumatoid Arthritis Fatigue (BRAF) measures are RA-specific PROs developed using qualitative research with patients with RA to establish face and content validity, followed by factor analysis and item debriefing. The measures consist of 3 unidimensional items (each available in standardized VAS and NRS format) for fatigue severity, effect, and coping respectively; and a multidimensional 20-item fatigue questionnaire (BRAF-MDQ) (86). Reliability and sensitivity to change with treatment (corticosteroid) have been shown in one study, and preliminary data on minimum clinically important difference for improvement and worsening have been suggested for each of the NRS and the BRAF-MDQ (87). The BRAF measures were recently compared to the SF-36 Vitality scale using item response theory with the finding that the BRAF-MDQ has highest discrimination in the high fatigue range and the SF-36 Vitality scale in the low-moderate fatigue range (88) due to preferential coverage of these extremes on the fatigue continuum. These results with fatigue are similar to HAQ-DI versus SF-36 physical functioning scale described above.
Stiffness
Morning stiffness duration was assessed in 8 RCTs (2 biologic, 2 DMARD, 1 modified release prednisone, 1 exercise training, 3 other) and was a key secondary outcome in the modified-release prednisone RCT (89). Morning stiffness duration is also a component of the RADAI questionnaire, assessed as co-primary outcome in 1 DMARD trial in this review (52). Duration of morning stiffness has not been a responsive tool in assessing treatment effect in RA possibly due to lack of standardization (heterogeneous assessment) or problems with the construct validity of the measure (6). Indeed, recent qualitative research with patients with RA confirmed stiffness as an important part of the RA experience with multiple aspects: impact on daily life choices, timing, location, severity, and also duration (90, 91). These studies would suggest that a single question concerning morning stiffness duration was inadequate in capturing the symptom as experienced and described by most patients. An assessment of stiffness severity was also included as an outcome in one previous delayed prednisone study (92).
Discussion
Qualitative studies in people living with RA have emphasized that multiple aspects of HRQL are important parts of the patient experience, and potentially amenable to therapy. Current composite response criteria in RA have limitations, namely heavier weighting of joint counts therefore underestimating patient reported improvement (93). It has been suggested that presenting a range of additional PRO results in clinical trials beyond the existing Core Set may provide better understanding of heterogeneous treatment responses within a particular sample (93). Assessment of additional PROs also becomes important to be able to differentiate between categories of non-responders: individuals with comorbidity such as depression, anxiety, and chronic musculoskeletal pain versus treatment-resistant RA (94, 95). PROs can also contribute information in setting treatment goals in clinical practice such as in targeting low disease activity versus remission (96). Clinically meaningful improvement (MCID/MCII), ideally anchored in long term outcomes, for each PRO must be known for correct interpretation of change within these measures (97).
Conclusion
PROs provide important complementary information to clinical disease activity measures used in clinical trials and for clinical practice. The growing emphasis on patient- centered outcomes and patient-centered care is providing additional impetus to expand PRO assessments to be more reflective of aspects of health most valued by patients. While some PROs are routinely collected as outcomes in RA, newer standards for PRO development and validation and advanced psychometric methods are demonstrating deficiencies of some of these in terms of their content and construct validity, responsiveness, and precision. This does not, however, negate the importance of those measures that are currently used and widely available as these can provide important perspectives not captured in composite clinical response criteria. But it does point to the opportunities for more robust PRO measures to better inform patient-level decision making in the future.
ACKNOWLEDGEMENT
Dr. Ana-Maria Orbai is supported by a Scientist Development Award from the Rheumatology Research Foundation (RRF).
Dr. Bingham was supported in part through a Patient-Centered Outcomes Research Institute (PCORI) Pilot Project Program Award (1IP2-PI000737-01).
All statements in this report, including its findings and conclusions, are solely those of the authors and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute (PCORI), its Board of Governors, or Methodology Committee. Dr. Bingham is a member of the Executive Committee of OMERACT (Outcome Measures in Rheumatology), an international group that develops and evaluates health outcomes; OMERACT receives hands-off funding from more than 23 pharmaceutical and research companies.
References
Recent publications of particular interest have been highlighted as:
• Of importance
•• Of major importance
- 1. Boers M, Kirwan JR, Wells G, et al. Developing core outcome measurement sets for clinical trials: OMERACT filter 2.0. J Clin Epidemiol. 2014;67:745–753. doi: 10.1016/j.jclinepi.2013.11.013. The newly endorsed OMERACT Filter 2.0 provides a framework and methodology for selecting RCT core sets.
- 2.Tugwell PS, Petersson IF, Boers M, et al. Domains selection for patient-reported outcomes: current activities and options for future methods. J Rheumatol. 2011;38:1702–1710. doi: 10.3899/jrheum.110389. [DOI] [PubMed] [Google Scholar]
- 3.Frank L, Forsythe L, Ellis L, et al. Conceptual and practical foundations of patient engagement in research at the patient-centered outcomes research institute. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. Jan 6; doi: 10.1007/s11136-014-0893-3. 201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Frank L, Basch E, Selby JV. The PCORI perspective on patient-centered outcomes research. JAMA. 2014 Oct 15;312(15):1513–1514. doi: 10.1001/jama.2014.11100. [DOI] [PubMed] [Google Scholar]
- 5.Boers M, Tugwell P, Felson DT, et al. World Health Organization and International League of Associations for Rheumatology core endpoints for symptom modifying antirheumatic drugs in rheumatoid arthritis clinical trials. J Rheumatol Suppl. 1994;41:86–89. [PubMed] [Google Scholar]
- 6.Felson DT, Anderson JJ, Boers M, et al. The American College of Rheumatology preliminary core set of disease activity measures for rheumatoid arthritis clinical trials. The Committee on Outcome Measures in Rheumatoid Arthritis Clinical Trials. Arthritis Rheum. 1993;36:729–740. doi: 10.1002/art.1780360601. [DOI] [PubMed] [Google Scholar]
- 7.Kirkham JJ, Boers M, Tugwell P, et al. Outcome measures in rheumatoid arthritis randomised trials over the last 50 years. Trials. 2013;14:324. doi: 10.1186/1745-6215-14-324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Boers M, Brooks P, Strand CV, et al. The OMERACT filter for Outcome Measures in Rheumatology. J Rheumatol. 1998;25:198–199. [PubMed] [Google Scholar]
- 9. van Tuyl LH, Hewlett S, Sadlonova M, et al. The patient perspective on remission in rheumatoid arthritis: 'You've got limits, but you're back to being you again'. Ann Rheum Dis. 2014 Feb 12; doi: 10.1136/annrheumdis-2013-204798. This qualitative research study highlights the concept of remission from the RA patients’s perspective.
- 10.Bingham CO, 3rd, Alten R, Bartlett SJ, et al. Identifying preliminary domains to detect and measure rheumatoid arthritis flares: report of the OMERACT 10 RA Flare Workshop. J Rheumatol. 2011;38:1751–1758. doi: 10.3899/jrheum.110401. [DOI] [PubMed] [Google Scholar]
- 11.Bingham CO, 3rd, Alten R, de Wit MP. The importance of patient participation in measuring rheumatoid arthritis flares. Ann Rheum Dis. 2012;71:1107–1109. doi: 10.1136/annrheumdis-2011-200870. [DOI] [PubMed] [Google Scholar]
- 12.Bartlett SJ, Hewlett S, Bingham CO, 3rd, et al. Identifying core domains to assess flare in rheumatoid arthritis: an OMERACT international patient and provider combined Delphi consensus. Ann Rheum Dis. 2012;71:1855–1860. doi: 10.1136/annrheumdis-2011-201201. [DOI] [PubMed] [Google Scholar]
- 13.de Wit M, Abma T, Koelewijn-van Loon M, et al. Involving patient research partners has a significant impact on outcomes research: a responsive evaluation of the international OMERACT conferences. BMJ Open. 2013;3(5) doi: 10.1136/bmjopen-2012-002241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Cella D, Yount S, Rothrock N, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care. 2007;45(5 Suppl 1):S3–S11. doi: 10.1097/01.mlr.0000258615.42478.55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.WHO. WHO: The International Classification of Functioning, Disability and Health 2002. [updated 2001; cited];2001 http://www.who.int/classifications/icf/training/icfbeginnersguide.pdf?ua=1; Available from: http://www.who.int/classifications/icf/training/icfbeginnersguide.pdf?ua=1.
- 16.US Food and Drug Administration. US Food and Drug Administration. Guidance for Industry Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims(2009) [updated 2009 2009; cited 2014 1/23/2014];2009 Available from: www.fda.gov/downloads/Drugs/Guidances/UCM193282.pdf.
- 17.Frost MH, Reeve BB, Liepa AM, et al. What is sufficient evidence for the reliability and validity of patient-reported outcome measures? Value Health. 2007;10(Suppl 2):S94–S105. doi: 10.1111/j.1524-4733.2007.00272.x. [DOI] [PubMed] [Google Scholar]
- 18.Coons SJ, Kothari S, Monz BU, et al. The patient-reported outcome (PRO) consortium: filling measurement gaps for PRO end points to support labeling claims. Clin Pharmacol Ther. 2011;90:743–748. doi: 10.1038/clpt.2011.203. [DOI] [PubMed] [Google Scholar]
- 19.Mokkink LB, Terwee CB, Knol DL, et al. The COSMIN checklist for evaluating the methodological quality of studies on measurement properties: a clarification of its content. BMC medical research methodology. 2010;10:22. doi: 10.1186/1471-2288-10-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mokkink LB, Terwee CB, Patrick DL, et al. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2010;19:539–549. doi: 10.1007/s11136-010-9606-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Patrick DL, Burke LB, Gwaltney CJ, et al. Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: part 1--eliciting concepts for a new PRO instrument. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research. 2011;14:967–977. doi: 10.1016/j.jval.2011.06.014. [DOI] [PubMed] [Google Scholar]
- 22.Patrick DL, Burke LB, Gwaltney CJ, et al. Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO Good Research Practices Task Force report: part 2--assessing respondent understanding. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research. 2011;14:978–988. doi: 10.1016/j.jval.2011.06.013. [DOI] [PubMed] [Google Scholar]
- 23.Reeve BB, Wyrwich KW, Wu AW, et al. ISOQOL recommends minimum standards for patient-reported outcome measures used in patient-centered outcomes and comparative effectiveness research. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2013;22:1889–1905. doi: 10.1007/s11136-012-0344-y. [DOI] [PubMed] [Google Scholar]
- 24.Brundage M, Blazeby J, Revicki D, et al. Patient-reported outcomes in randomized clinical trials: development of ISOQOL reporting standards. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2013;22:1161–1175. doi: 10.1007/s11136-012-0252-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wyrwich KW, Norquist JM, Lenderking WR, et al. Methods for interpreting change over time in patient-reported outcome measures. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2013;22:475–483. doi: 10.1007/s11136-012-0175-x. [DOI] [PubMed] [Google Scholar]
- 26.Snyder CF, Aaronson NK, Choucair AK, et al. Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2012;21:1305–1314. doi: 10.1007/s11136-011-0054-x. [DOI] [PubMed] [Google Scholar]
- 27.de Wit MP, Berlo SE, Aanerud GJ, et al. European League Against Rheumatism recommendations for the inclusion of patient representatives in scientific projects. Ann Rheum Dis. 2011;70:722–726. doi: 10.1136/ard.2010.135129. [DOI] [PubMed] [Google Scholar]
- 28.Gossec L, Paternotte S, Aanerud GJ, et al. Finalisation and validation of the rheumatoid arthritis impact of disease score, a patient-derived composite measure of impact of rheumatoid arthritis: a EULAR initiative. Ann Rheum Dis. 2011;70:935–942. doi: 10.1136/ard.2010.142901. [DOI] [PubMed] [Google Scholar]
- 29.Gossec L, de Wit M, Kiltz U, et al. A patient-derived and patient-reported outcome measure for assessing psoriatic arthritis: elaboration and preliminary validation of the Psoriatic Arthritis Impact of Disease (PsAID) questionnaire, a 13-country EULAR initiative. Ann Rheum Dis. 2014;73:1012–1019. doi: 10.1136/annrheumdis-2014-205207. [DOI] [PubMed] [Google Scholar]
- 30. Castrejon I, Gossec L, Carmona L. The EULAR Outcome Measures Library: an evolutional database of validated patient-reported instruments. Annals of the rheumatic diseases. 2015;74:475–476. doi: 10.1136/annrheumdis-2014-206485. This article describes the EULAR electronic resource of patient reported outcome measures.
- 31.Methodology Committee of the Patient-Centered Outcomes Research I. Methodological standards and patient-centeredness in comparative effectiveness research: the PCORI perspective. JAMA. 2012;307:1636–1640. doi: 10.1001/jama.2012.466. [DOI] [PubMed] [Google Scholar]
- 32.Her M, Kavanaugh A. Patient-reported outcomes in rheumatoid arthritis. Curr Opin Rheumatol. 2012;24:327–334. doi: 10.1097/BOR.0b013e3283521c64. [DOI] [PubMed] [Google Scholar]
- 33.Fleischmann R, Kremer J, Cush J, et al. Placebo-controlled trial of tofacitinib monotherapy in rheumatoid arthritis. The New England journal of medicine. 2012;367:495–507. doi: 10.1056/NEJMoa1109071. [DOI] [PubMed] [Google Scholar]
- 34.van Vollenhoven RF, Fleischmann R, Cohen S, et al. Tofacitinib or adalimumab versus placebo in rheumatoid arthritis. N Engl J Med. 2012;367:508–519. doi: 10.1056/NEJMoa1112072. [DOI] [PubMed] [Google Scholar]
- 35.Burmester GR, Blanco R, Charles-Schoeman C, et al. Tofacitinib (CP-690,550) in combination with methotrexate in patients with active rheumatoid arthritis with an inadequate response to tumour necrosis factor inhibitors: a randomised phase 3 trial. Lancet. 2013;381:451–460. doi: 10.1016/S0140-6736(12)61424-X. [DOI] [PubMed] [Google Scholar]
- 36.Lee EB, Fleischmann R, Hall S, et al. Tofacitinib versus methotrexate in rheumatoid arthritis. N Engl J Med. 2014;370:2377–2386. doi: 10.1056/NEJMoa1310476. [DOI] [PubMed] [Google Scholar]
- 37.Weinblatt ME, Schiff M, Valente R, et al. Head-to-head comparison of subcutaneous abatacept versus adalimumab for rheumatoid arthritis: findings of a phase IIIb, multinational, prospective, randomized study. Arthritis Rheum. 2013;65:28–38. doi: 10.1002/art.37711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Schiff M, Weinblatt ME, Valente R, et al. Head-to-head comparison of subcutaneous abatacept versus adalimumab for rheumatoid arthritis: two-year efficacy and safety findings from AMPLE trial. Ann Rheum Dis. 2014;73:86–94. doi: 10.1136/annrheumdis-2013-203843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Gabay C, Emery P, van Vollenhoven R, et al. Tocilizumab monotherapy versus adalimumab monotherapy for treatment of rheumatoid arthritis (ADACTA): a randomised, double-blind, controlled phase 4 trial. Lancet. 2013;381:1541–1550. doi: 10.1016/S0140-6736(13)60250-0. [DOI] [PubMed] [Google Scholar]
- 40.Kavanaugh A, Fleischmann RM, Emery P, et al. Clinical, functional and radiographic consequences of achieving stable low disease activity and remission with adalimumab plus methotrexate or methotrexate alone in early rheumatoid arthritis; 26-week results from the randomised, controlled OPTIMA study. Ann Rheum Dis. 2013;72:64–71. doi: 10.1136/annrheumdis-2011-201247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Smolen JS, Emery P, Fleischmann R, et al. Adjustment of therapy in rheumatoid arthritis on the basis of achievement of stable low disease activity with adalimumab plus methotrexate or methotrexate alone: the randomised controlled OPTIMA trial. Lancet. 2014;383:321–332. doi: 10.1016/S0140-6736(13)61751-1. [DOI] [PubMed] [Google Scholar]
- 42.Bingham CO, 3rd, Pohl C, Woodworth TG, et al. Developing a standardized definition for disease "flare" in rheumatoid arthritis (OMERACT 9 Special Interest Group) J Rheumatol. 2009;36:2335–2341. doi: 10.3899/jrheum.090369. [DOI] [PubMed] [Google Scholar]
- 43.Hewlett S, Sanderson T, May J, et al. 'I'm hurting, I want to kill myself': rheumatoid arthritis flare is more than a high joint count--an international patient perspective on flare where medical help is sought. Rheumatology (Oxford, England) 2012;51:69–76. doi: 10.1093/rheumatology/keq455. [DOI] [PubMed] [Google Scholar]
- 44.Bingham CO, III, Alten R, Bartlett SJ, et al. Identifying preliminary domains to detect and measure rheumatoid arthritis flares: Report of the OMERACT 10 RA Flare Workshop. J Rheumatol. 2011;38:1751–1758. doi: 10.3899/jrheum.110401. [DOI] [PubMed] [Google Scholar]
- 45.Bykerk VP, Lie E, Bartlett SJ, Alten R, Boonen A, Christensen R, et al. Establishing a core domain set to measure rheumatoid arthritis flares: report of the OMERACT 11 RA flare Workshop. J Rheumatol. 2014;41:799–809. doi: 10.3899/jrheum.131252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Kirwan JR, Minnock P, Adebajo A, et al. Patient perspective: fatigue as a recommended patient centered outcome measure in rheumatoid arthritis. J Rheumatol. 2007;34:1174–1177. [PubMed] [Google Scholar]
- 47.Felson DT, Anderson JJ, Boers M, et al. American College of Rheumatology. Preliminary definition of improvement in rheumatoid arthritis. Arthritis Rheum. 1995;38:727–735. doi: 10.1002/art.1780380602. [DOI] [PubMed] [Google Scholar]
- 48.Felson DT, Smolen JS, Wells G, et al. American College of Rheumatology/European League Against Rheumatism provisional definition of remission in rheumatoid arthritis for clinical trials. Arthritis Rheum. 2011;63:573–586. doi: 10.1002/art.30129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Fries JF, Spitz P, Kraines RG, et al. Measurement of patient outcome in arthritis. Arthritis Rheum. 1980;23:137–145. doi: 10.1002/art.1780230202. [DOI] [PubMed] [Google Scholar]
- 50.Pincus T, Summey JA, Soraci SA, et al. Assessment of patient satisfaction in activities of daily living using a modified Stanford Health Assessment Questionnaire. Arthritis Rheum. 1983;26:1346–1353. doi: 10.1002/art.1780261107. [DOI] [PubMed] [Google Scholar]
- 51.Keystone EC, Genovese MC, Hall S, et al. Golimumab in patients with active rheumatoid arthritis despite methotrexate therapy: results through 2 years of the GO-FORWARD study extension. J Rheumatol. 2013;40:1097–1103. doi: 10.3899/jrheum.120584. [DOI] [PubMed] [Google Scholar]
- 52.de Jong PH, Hazes JM, Han HK, et al. Randomised comparison of initial triple DMARD therapy with methotrexate monotherapy in combination with low-dose glucocorticoid bridging therapy; 1-year data of the tREACH trial. Ann Rheum Dis. 2014;73:1331–1339. doi: 10.1136/annrheumdis-2013-204788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Fries JF, Cella D, Rose M, et al. Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing. J Rheumatol. 2009;36:2061–2066. doi: 10.3899/jrheum.090358. [DOI] [PubMed] [Google Scholar]
- 54.Sokka T. Long-term outcomes of rheumatoid arthritis. Curr Opin Rheumatol. 2009;21:284–290. doi: 10.1097/BOR.0b013e32832a2f02. [DOI] [PubMed] [Google Scholar]
- 55. Ward MM, Guthrie LC, Alba MI. Clinically important changes in individual and composite measures of rheumatoid arthritis activity: thresholds applicable in clinical trials. Ann Rheum Dis. 2014 doi: 10.1136/annrheumdis-2013-205079. This article redefines the minimally clinically important improvement in RA for the health assessment questionnaire at higher levels.
- 56.Alonso J, Bartlett SJ, Rose M, et al. The case for an international patient-reported outcomes measurement information system (PROMIS(R)) initiative. Health and quality of life outcomes. 2013;11:210. doi: 10.1186/1477-7525-11-210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Hays RD, Spritzer KL, Fries JF, et al. Responsiveness and minimally important difference for the Patient-Reported Outcomes Measurement Information System (PROMIS) 20-item physical functioning short form in a prospective observational study of rheumatoid arthritis. Ann Rheum Dis. 2015;74:104–107. doi: 10.1136/annrheumdis-2013-204053. This article defines the minimally clinically important difference in RA for the PROMIS 20 item physical functioning form.
- 58.Oude Voshaar MA, Ten Klooster PM, Glas CA, et al. Relative performance of commonly used physical function questionnaires in rheumatoid arthritis and a patient-reported outcomes measurement information system computerized adaptive test. Arthritis Care Res (Hoboken, NJ) 2014;66:2900–2908. doi: 10.1002/art.38759. [DOI] [PubMed] [Google Scholar]
- 59.Bartlett SJ, Orbai AM, Duncan T, et al. How Well Do Generic Patient Reported Outcomes Measurement Information System Instruments Capture Health Status In Rheumatoid Arthritis? Arthritis Rheum. 2013 Nov;65(10 Suppl):972. [Google Scholar]
- 60.Broderick JE, Schneider S, Junghaenel DU, et al. Validity and reliability of patient-reported outcomes measurement information system instruments in osteoarthritis. Arthritis Care & Res. 2013 Oct;65(10):1625–1633. doi: 10.1002/acr.22025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Khanna D, Maranian P, Rothrock N, et al. Feasibility and construct validity of PROMIS and "legacy" instruments in an academic scleroderma clinic. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research. 2012;15:128–134. doi: 10.1016/j.jval.2011.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Pincus T, Bergman MJ, Yazici Y, et al. An index of only patient-reported outcome measures, routine assessment of patient index data 3 (RAPID3), in two abatacept clinical trials: similar results to disease activity score (DAS28) and other RAPID indices that include physician-reported measures. Rheumatology (Oxford) 2008;47:345–349. doi: 10.1093/rheumatology/kem364. [DOI] [PubMed] [Google Scholar]
- 63.Pincus T, Swearingen C, Wolfe F. Toward a multidimensional Health Assessment Questionnaire (MDHAQ): assessment of advanced activities of daily living and psychological status in the patient-friendly health assessment questionnaire format. Arthritis Rheum. 1999;42:2220–2230. doi: 10.1002/1529-0131(199910)42:10<2220::AID-ANR26>3.0.CO;2-5. [DOI] [PubMed] [Google Scholar]
- 64.Pincus T, Yazici Y, Castrejon I. Pragmatic and scientific advantages of MDHAQ/RAPID3 completion by all patients at all visits in routine clinical care. Bulletin of the NYU hospital for joint diseases. 2012;70(Suppl 1):30–36. [PubMed] [Google Scholar]
- 65.Pincus T, Furer V, Keystone E, et al. RAPID3 (Routine Assessment of Patient Index Data 3) severity categories and response criteria: Similar results to DAS28 (Disease Activity Score) and CDAI (Clinical Disease Activity Index) in the RAPID 1 (Rheumatoid Arthritis Prevention of Structural Damage) clinical trial of certolizumab pegol. Arthritis Care & Res. 2011;63:1142–1149. doi: 10.1002/acr.20481. [DOI] [PubMed] [Google Scholar]
- 66.Pincus T, Swearingen CJ, Bergman MJ, et al. RAPID3 (Routine Assessment of Patient Index Data) on an MDHAQ (Multidimensional Health Assessment Questionnaire): agreement with DAS28 (Disease Activity Score) and CDAI (Clinical Disease Activity Index) activity categories, scored in five versus more than ninety seconds. Arthritis Care & Res. 2010;62:181–189. doi: 10.1002/acr.20066. [DOI] [PubMed] [Google Scholar]
- 67.Yazici Y, Curtis JR, Ince A, et al. Efficacy of tocilizumab in patients with moderate to severe active rheumatoid arthritis and a previous inadequate response to disease-modifying antirheumatic drugs: the ROSE study. Ann Rheum Dis. 2012;71(2):198–205. doi: 10.1136/ard.2010.148700. [DOI] [PubMed] [Google Scholar]
- 68.Gossec L, Dougados M, Rincheval N, et al. Elaboration of the preliminary Rheumatoid Arthritis Impact of Disease (RAID) score: a EULAR initiative. Ann Rheum Dis. 2009;68:1680–1685. doi: 10.1136/ard.2008.100271. [DOI] [PubMed] [Google Scholar]
- 69.Boers M. RAID: a valid tool to quantify the impact of rheumatoid arthritis. But what impact will it have on the core set for trials? Ann Rheum Dis. 2011;70:884–885. doi: 10.1136/ard.2010.145375. [DOI] [PubMed] [Google Scholar]
- 70.Heiberg T, Austad C, Kvien TK, et al. Performance of the Rheumatoid Arthritis Impact of Disease (RAID) score in relation to other patient-reported outcomes in a register of patients with rheumatoid arthritis. Ann Rheum Dis. 2011;70:1080–1082. doi: 10.1136/ard.2010.143032. [DOI] [PubMed] [Google Scholar]
- 71. Dougados M, Brault Y, Logeart I, et al. Defining cut-off values for disease activity states and improvement scores for patient-reported outcomes: the example of the Rheumatoid Arthritis Impact of Disease (RAID) Arthritis Res & Ther. 2012;14:R129. doi: 10.1186/ar3859. This article defines the minimally clinically important difference for the RAID questionnaire.
- 72.Ware JE, Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical care. 1992;30:473–483. [PubMed] [Google Scholar]
- 73.Kosinski M, Zhao SZ, Dedhiya S, et al. Determining minimally important changes in generic and disease-specific health-related quality of life questionnaires in clinical trials of rheumatoid arthritis. Arthritis Rheum. 2000;43:1478–1487. doi: 10.1002/1529-0131(200007)43:7<1478::AID-ANR10>3.0.CO;2-M. [DOI] [PubMed] [Google Scholar]
- 74.Busija L, Pausenberger E, Haines TP, et al. Adult measures of general health and health-related quality of life: Medical Outcomes Study Short Form 36-Item (SF-36) and Short Form 12-Item (SF-12) Health Surveys, Nottingham Health Profile (NHP), Sickness Impact Profile (SIP), Medical Outcomes Study Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), Quality of Well-Being Scale (QWB), and Assessment of Quality of Life (AQoL) Arthritis Care & Res. 2011;63(Suppl 11):S383–S412. doi: 10.1002/acr.20541. [DOI] [PubMed] [Google Scholar]
- 75.Hays RD, Morales LS. The RAND-36 measure of health-related quality of life. Ann Med. 2001;33:350–357. doi: 10.3109/07853890109002089. [DOI] [PubMed] [Google Scholar]
- 76.Ware J, Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Medical care. 1996;34:220–233. doi: 10.1097/00005650-199603000-00003. [DOI] [PubMed] [Google Scholar]
- 77.Gandek B, Ware JE, Aaronson NK, et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol. 1998;51:1171–1178. doi: 10.1016/s0895-4356(98)00109-7. [DOI] [PubMed] [Google Scholar]
- 78.Hays RD, Liu H, Spritzer K, et al. Item response theory analyses of physical functioning items in the medical outcomes study. Medical care. 2007;45(5 Suppl 1):S32–S38. doi: 10.1097/01.mlr.0000246649.43232.82. [DOI] [PubMed] [Google Scholar]
- 79.Whalley D, McKenna SP, de Jong Z, et al. Quality of life in rheumatoid arthritis. British journal of rheumatology. 1997;36:884–888. doi: 10.1093/rheumatology/36.8.884. [DOI] [PubMed] [Google Scholar]
- 80.Kirwan JR, Hewlett S. Patient perspective: reasons and methods for measuring fatigue in rheumatoid arthritis. J Rheumatol. 2007;34:1171–1173. [PubMed] [Google Scholar]
- 81.Sanderson T, Calnan M, Morris M, et al. Shifting normalities: interactions of changing conceptions of a normal life and the normalisation of symptoms in rheumatoid arthritis. Sociology of health & illness. 2011;33:618–633. doi: 10.1111/j.1467-9566.2010.01305.x. [DOI] [PubMed] [Google Scholar]
- 82.Bartlett SJ, Orbai AM, Duncan T, et al. Can Generic PROMIS Measures Adequately Capture Fatigue in Rheumatoid Arthritis? Ann Rheum Dis. 2014;73(Suppl 2):1167. [Google Scholar]
- 83.Yellen SB, Cella DF, Webster K, et al. Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system. Journal of pain and symptom management. 1997;13:63–74. doi: 10.1016/s0885-3924(96)00274-6. [DOI] [PubMed] [Google Scholar]
- 84.Cella D, Yount S, Sorensen M, et al. Validation of the Functional Assessment of Chronic Illness Therapy Fatigue Scale relative to other instrumentation in patients with rheumatoid arthritis. J Rheumatol. 2005;32:811–819. [PubMed] [Google Scholar]
- 85.Hewlett S, Hehir M, Kirwan JR. Measuring fatigue in rheumatoid arthritis: a systematic review of scales in use. Arthritis Rheum. 2007;57:429–439. doi: 10.1002/art.22611. [DOI] [PubMed] [Google Scholar]
- 86.Nicklin J, Cramp F, Kirwan J, et al. Measuring fatigue in rheumatoid arthritis: a cross-sectional study to evaluate the Bristol Rheumatoid Arthritis Fatigue Multi-Dimensional questionnaire, visual analog scales, and numerical rating scales. Arthritis Care & Res. 2010;62:1559–1568. doi: 10.1002/acr.20282. [DOI] [PubMed] [Google Scholar]
- 87. Dures EK, Hewlett SE, Cramp FA, et al. Reliability and sensitivity to change of the Bristol Rheumatoid Arthritis Fatigue scales. Rheumatology (Oxford, England) 2013;52:1832–1839. doi: 10.1093/rheumatology/ket218. This article summarizes preliminary reliability and sensitivity to change in RA for the BRAF measures.
- 88.Oude Voshaar MA, Ten Klooster PM, Bode C, et al. Assessment of Fatigue in Rheumatoid Arthritis: A Psychometric Comparison of Single-item, Multiitem, and Multidimensional Measures. J Rheumatol. 2015 Jan 15; doi: 10.3899/jrheum.140389. [DOI] [PubMed] [Google Scholar]
- 89.Buttgereit F, Mehta D, Kirwan J, et al. Low-dose prednisone chronotherapy for rheumatoid arthritis: a randomised clinical trial (CAPRA-2) Ann Rheum Dis. 2013;72:204–210. doi: 10.1136/annrheumdis-2011-201067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Orbai AM, Smith KC, Bartlett SJ, et al. "Stiffness has different meanings, I think, to everyone". examining stiffness from the perspective of people living with rheumatoid arthritis. Arthritis Care & Res. 2014 May 28; doi: 10.1002/acr.22374. This qualitative research article describes and provides a conceptual framework for stiffness in RA from the patient perspective.
- 91. Halls S, Dures E, Kirwan J, et al. Stiffness is more than just duration and severity: a qualitative exploration in people with rheumatoid arthritis. Rheumatology (Oxford) doi: 10.1093/rheumatology/keu379. In press. This qualitative research article describes and provides a conceptual framework for stiffness in RA from the patient perspective.
- 92.Buttgereit F, Doering G, Schaeffler A, et al. Efficacy of modified-release versus standard prednisone to reduce duration of morning stiffness of the joints in rheumatoid arthritis (CAPRA-1): a double-blind, randomised controlled trial. Lancet. 2008;371:205–214. doi: 10.1016/S0140-6736(08)60132-4. [DOI] [PubMed] [Google Scholar]
- 93. Ward MM, Guthrie LC, Alba MI. Brief report: rheumatoid arthritis response criteria and patient-reported improvement in arthritis activity: is an American College of Rheumatology twenty percent response meaningful to patients? Arthritis & Rheum (Hoboken, NJ) 2014;66:2339–2343. doi: 10.1002/art.38705. This research article shows discrepancy in patient reported improvement in RA versus ACR response index based improvement underscoring the importance of PRO reporting in clinical trials in addition to standard response indices.
- 94.Lee YC, Frits ML, Iannaccone CK, et al. Subgrouping of patients with rheumatoid arthritis based on pain, fatigue, inflammation, and psychosocial factors. Arthritis & Rheum (Hoboken, NJ) 2014;66:2006–2014. doi: 10.1002/art.38682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Inanc N, Yilmaz-Oner S, Can M, et al. The role of depression, anxiety, fatigue, and fibromyalgia on the evaluation of the remission status in patients with rheumatoid arthritis. J Rheumatol. 2014;41:1755–1760. doi: 10.3899/jrheum.131171. [DOI] [PubMed] [Google Scholar]
- 96.Curtis JR, Shan Y, Harrold L, et al. Patient perspectives on achieving treat-to-target goals: a critical examination of patient-reported outcomes. Arthritis care & research. 2013;65:1707–1712. doi: 10.1002/acr.22048. [DOI] [PubMed] [Google Scholar]
- 97.Kvien TK, Heiberg T, Hagen KB. Minimal clinically important improvement/difference (MCII/MCID) and patient acceptable symptom state (PASS): what do these concepts mean? Ann Rheum Dis. 2007;66(Suppl 3):iii40–iii41. doi: 10.1136/ard.2007.079798. [DOI] [PMC free article] [PubMed] [Google Scholar]