Abstract
Background
Qualitative research is recommended in concept elicitation for patient-reported outcome measures to ensure item content validity, and those developing measures are encouraged to report qualitative methods in detail. However, in measure development for children and young people, direct research can be challenging due to problems with engagement and communication.
Objectives
The aim of this systematic review was to (i) explore the qualitative and adapted data collection techniques that research teams have used with children and young people to generate items in existing measures and (ii) assess the quality of qualitative reporting.
Methods
Three electronic databases were searched with forward citation and reference list searching of key papers. Papers included in the review were empirical studies documenting qualitative concept elicitation with children and young people. Data on qualitative methods were extracted, and all studies were checked against a qualitative reporting checklist.
Results
A total of 37 studies were included. The quality of reporting of qualitative approaches for item generation was low, with information missing on sampling, data analysis and the research team, all of which are key to facilitating judgements around measure content validity. Few papers reported adapting methods to be more suitable for children and young people, potentially missing opportunities to more meaningfully engage children in concept elicitation work.
Conclusions
Research teams should ensure that they are documenting detailed and transparent processes for concept elicitation. Guidelines are currently lacking in the development and reporting of item generation for children, with this being an important area for future research.
Electronic supplementary material
The online version of this article (10.1007/s40271-020-00414-x) contains supplementary material, which is available to authorized users.
Key Points for Decision Makers
The use of qualitative research for concept elicitation is important to ensuring the content validity of patient-reported outcome measures. |
The quality of the reporting of qualitative concept elicitation for child and young person measures was generally poor, making judgements around the content validity of measure items challenging. |
Few measures reported adapting their data collection techniques to be more suitable for children and young people, potentially missing opportunities to more meaningfully engage this population in item development, particularly younger children. |
Those developing measures for children and young people would benefit from clear guidelines on how to undertake and report qualitative methods for concept elicitation. |
Introduction
The process of healthcare decision making, specifically measuring and comparing the clinical and cost effectiveness of healthcare technologies, interventions or services, can be facilitated through the development and use of patient-reported outcome measures (PROMs). PROMs are questionnaires designed to capture the clinical and broader outcomes of treatments from the perspectives of patients [1]. They comprise items that should be designed to represent the concepts and outcomes most important to the population in which a measure will be used. Empirical work to develop measure items will be referred to here as ‘concept elicitation’ [2] but can also be known as conceptual attribute development [3–5]. Patients are asked to complete PROMs before and after receiving an intervention to record any differences in their outcomes as a result. The focus of a measure’s items will vary according to whether a measure has been developed for use in a specific disease area (condition-specific) or for generic use, with the latter facilitating the comparison of patient outcomes across a broad range of health and social care conditions [1].
An important consideration for all PROMs is to ensure that the contained items are relevant and sensitive to changes in aspects such as the health or well-being of that population [6]. Guidance on PROM development from the US Food and Drug Administration (FDA) [5] and the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) task force [7] suggests that qualitative, empirical research with the target population is essential to establishing a measure’s content validity, that is, whether it adequately captures the items of interest [8]. The goal of qualitative research is typically to understand a phenomenon from the perspectives of those who are knowledgeable, experienced or involved [9], and qualitative data are most commonly generated through listening to the views and experiences of participants. The FDA emphasise the importance of reaching data saturation for items, that is, ensuring that they achieve full coverage of all aspects important to a population and decision-making context. The importance of clear reporting of the qualitative development of these measures is also emphasised (e.g., [5, 10]) to allow users (i.e., clinicians, researchers, decision makers etc.) to decide on a measure’s content validity and how suitable it is for use.
The FDA give specific advice on PROM development in children and adolescents, centred around content validity and ensuring that measures can be understood and completed by children and young people (CYP) [10]. However, direct research with CYP can prove challenging for PROMs development [11]. This is because traditional qualitative methods are typically very adult-orientated and less appropriate for use with children, particularly with young children and those not able to articulate their opinions using formal or language-based methods [12–14]. Arbuckle and Abetz-Webb [11] suggest that further challenges include engaging children in research activities and finding methods that are appropriate to meet the different age and developmental abilities of CYP. Rowen and colleagues (2020) note similar issues with asking CYP to provide values for items for preference-based measures, with concerns around their understanding and ability to address the complexity of elicitation tasks [15]. This raises questions around whether and how researchers are developing items for PROMs with the CYP population, including how they are overcoming issues with involving CYP in direct research and how they are ensuring the generation of sensitive and valid measures.
This paper presents a systematic review of empirical studies documenting the development of measures using qualitative methods with CYP. The review has two aims: (i) to explore the qualitative methods that research teams have used with CYP to develop measure items, and whether methods have been adapted to suit the age and developmental needs of the population; and (ii) to explore the quality of the reporting of these methods. The discussion section of the paper synthesises the main findings from the retrieved studies and makes comparisons between what is being carried out in practice and the limited guidance available on CYP PROM development, as well as reporting standards in qualitative research generally.
Methods
Search Strategies for Studies
With a focus on exploring the qualitative approaches taken with CYP for concept elicitation, the search was designed to retrieve a breadth of papers, including condition-specific and generic measures. The search combined electronic database searching, reference list and forward citation searching of key papers and using existing systematic reviews of CYP measures to identify whether any of the measures featured had reported the use of qualitative methods in item development [16–18].
Three relevant electronic databases were searched: PubMed (includes MEDLINE), EMBASE and EconLit, with no limits on dates. The search was updated in November 2019. Search terms were developed in PubMed and adapted slightly to maximise sensitivity within each database. The terms used combined the population of interest (children and young people) with variations on the possible focus and outcomes of the developed measures (i.e., an economic, quality-of-life or well-being focus), with alternative terms for the methodological approach taken to measure development, centred around the language used in the FDA PROM development guidance (i.e., qualitative, qualitative research). The search terms developed for use in the electronic databases are detailed in Appendix 1 (see electronic supplementary material [ESM]). The ‘find citing articles’ feature of electronic journals was used to identify other studies that had cited key papers. Key papers for forward citation and reference list searching were studies that included a higher level of detail on the qualitative methods for item development, in anticipation that other papers may have followed and cited their work [19–24].
Selection Method
The lead reviewer (SH) screened the title and abstracts of each paper identified through the search. If the abstract did not contain enough information to make a judgement on its relevance, the full-text version of the paper was downloaded. All duplicate articles were excluded. An independent reviewer (PMM) screened a proportion (5%) of all paper abstracts in one electronic database (PubMed) against the inclusion and exclusion study criteria to ensure agreement and consistency in the papers included. The independent screening of the abstracts encouraged the authors to clarify which studies were and were not considered relevant against the inclusion and exclusion criteria.
Study Inclusion and Exclusion Criteria
Studies were included in the review if they were (i) empirical studies documenting the development of the items of a measure using qualitative research with CYP and (ii) were developing a measure for use with CYP aged between 0 and 18 years. Excluded studies included non-English language articles, review articles, methodological guidelines and research protocols. Studies were excluded if they only reported using qualitative methods for validation of items (rather than development) or if they only briefly cited or discussed linked and already existing/published item development work—although any linked articles were then searched (via Google Scholar) for possible inclusion in the review. Excluded studies extended to those that were found to be superseded by papers with more detail available on the qualitative concept elicitation work, if existing papers focused on the development of the same measure and no information important to the review was sacrificed. Finally, studies were excluded if they also involved those over the age of 18 years or if the qualitative research was undertaken with parents/guardians or families only, that is, no CYP were directly involved in the concept elicitation.
Data Extraction and Quality of Reporting of Qualitative Methods
Data were extracted from each article into a data extraction form (see Appendix 2 [in ESM]) to ensure that the same information was captured for all studies [25]. Details recorded for all articles were the author(s) and paper characteristics (i.e., year, title and paper objective). Information was also recorded on the measure name, the type of measure (i.e., condition-specific, generic), the age of the CYP the measure was developed for and whether parents/guardians had been involved in development work. Information was documented on the qualitative methods used and studies were assessed for quality using principles from the 32-item ‘Consolidated criteria for reporting qualitative research (COREQ)’ tool [26], which focuses on the adequacy of reporting provided on the research team and reflexivity (i.e., reflections on how a researcher’s personal and professional biases may affect research processes and outcomes [27]), study design and the analysis of findings. Details on the qualitative research in the data extraction form was collected under the following headings: information available on sampling, qualitative methods used, approach to analysis and positive and negative reflections on the methods (both the authors’ and the reviewer’s [SH]). The form also collected details on whether any other methods were used (aside from qualitative) to develop the items. Data extraction was completed independently by a second author for 20% of publications, as was the quality check through the COREQ checklist (PMM).
Synthesis of Results
Microsoft Excel was used to tabulate the extracted data. The data were then summarised and collated into a narrative report to describe the findings. After a summary of the paper characteristics, information from the articles were synthesised under two themes: (i) an overview of the qualitative approach used in CYP concept elicitation and (ii) the quality of reporting in concept elicitation for CYP.
Results
Search Results
The search strategy retrieved 5072 papers; nine duplicates were removed. After screening article abstracts and titles and full-text versions of the 70 articles retrieved, a total of 37 studies met the inclusion criteria and were included in the review. Of these, 29 were identified through electronic databases and eight through other means. One study retrieved in the review [28] was found to have a ‘sister’ paper that contained additional detail on the qualitative item development work but predated any specific CYP measure development [29]. Information from both studies were used to inform the review, but for clarity, were treated as one record [28]. The search process is documented in Fig. 1 and the full paper characteristics for the included papers are in Table 1. The result of the independent review of a proportion of all abstracts screened (n = 251) by two reviewers was an agreement of 99.6% abstracts to include/exclude (kappa statistic inter-rater agreement of 0.67, rated as ‘good’ [30]). There was no disagreement between SH and PMM regarding the accuracy and completeness of data extracted in the selected proportion of papers, including completion of the COREQ checklists.
Fig. 1.
Study PRISMA flow diagram describing article selection procedure, Moher et al. [64]
Table 1.
Retrieved paper characteristics
Authors | Paper name | Year | Name of measure | Aim(s) of the paper | Generic or condition-specific? | Age of children for which measure developed |
---|---|---|---|---|---|---|
Angeles-Han et al. [65] | Development of a vision related quality of life instrument for children 8–18 years of age for use in juvenile idiopathic arthritis-associated uveitis | 2011 | EYE-Q | To develop an instrument to assess the impact of juvenile idiopathic arthritis-associated uveitis on quality of life and evaluate the performance of activities that rely on vision in the home and school. The objective of this paper was to provide further evidence of the validity and reliability of the instrument (Effects of Youngsters' Eyesight on QOL (EYE-Q)) for children aged 8–18 years old | Condition-specific: juvenile idiopathic arthritis-associated uveitis | 8–18 years |
Basra et al. [66] | Conceptualisation, development and validation of T-QoL (Teenagers’ Quality of Life): a patient-focused measure to assess quality of life of adolescents with skin diseases | 2017 | T-QoL (Teenagers’ Quality of Life) | To use information directly from adolescents to give a comprehensive insight into the impact of skin diseases on their quality of life to develop an adolescent-specific instrument | Condition-specific: skin diseases | 12–19 years |
Beusterien et al. [32] | Development of the multi-attribute adolescent health utility measure (AHUM) | 2012 | Adolescent Health Utility Measure (AHUM) | To develop a multi-attribute measure that focuses on key impacts of treatment for chronic conditions among older children and adolescents | Condition-specific: chronic conditions | 12–18 years |
Bray et al. [20] | Defining health-related quality of life for young wheelchair users—a qualitative health economics study | 2017 | No abbreviated name mentioned | To explore how children with impaired mobility and their families define health-related quality of life and mobility-related quality of life in relation to wheelchair use and mobility impairment | Condition-specific: wheelchair use | 0–18 years |
Bruce et al. [42] | Development and preliminary validation of the KIDCLOT PAC QL: a new health-related quality-of-life measure for paediatric long-term anticoagulation therapy | 2010 | KIDCLOT PAC QL | To develop and initially validate a health-related quality-of-life inventory for children and their parents on long-term anticoagulation. The secondary objective was to determine features of long-term anticoagulation therapy that disrupt children’s and families’ health-related quality of life | Condition-specific: anticoagulation therapy | 1–8 years |
Das et al. [67] | Formation and psychometric evaluation of a health-related quality-of-life instrument for children living with HIV in India | 2018 | QOL-CHAI | To develop a culturally appropriate tool to assess the health-related quality of life to identify the areas of concern among the paediatric HIV population | Condition-specific: HIV | 8–15 years |
Davis et al. [50] | Quality of life of adolescents with cerebral palsy: perspectives of adolescents and parents | 2008 | CP QOL–Child.12 | To use qualitative techniques to identify the important facets and domains of quality of life for adolescents with cerebral palsy | Condition specific: cerebral palsy | 13–18 years |
Flokstra-de Blok et al. [68] | Development and validation of the self-administered Food Allergy Quality of Life Questionnaire for adolescents | 2008 | FAQLQ-TF | The paper reports work on the development and cross-sectional validation of the first self-administered, food-allergy-specific, health-related quality-of-life questionnaire for adolescents: The Food Allergy Quality of Life Questionnaire–Teenager Form (FAQLQ-TF) | Condition-specific: food allergy | 13–17 years |
Fiume et al. [44] | Development and validation of the Paediatric Stroke Quality of Life Measure | 2018 | Paediatric Stroke Quality of Life Measure (PSQLM) | The paper reports on the development and validation of the Paediatric Stroke Quality of Life Measure (PSQLM), a novel instrument for measuring the quality of life of children after stroke | Condition-specific: stroke | 2–18 years |
Follansbee-Junger et al. [43] | Development of the PedsQL™ epilepsy module: focus group and cognitive interviews | 2016 | PedsQL Epilepsy Module | To create an epilepsy specific module of the PedsQL. The purpose of this paper was to describe the first three steps of the validation process, including how the items were generated, modified and adapted | Condition-specific: epilepsy | 2–18 years |
Franciosi et al. [38] | Quality of life in pediatric eosinophilic esophagitis: What is important to patients? | 2012 | No abbreviated name mentioned | To conduct focus interviews of paediatric patients with eosinophilic esophagitis and their parents to identify the key eosinophilic esophagitis disease-specific health-related quality of life concerns | Condition-specific: eosinophilic esophagitis | 2–18 years |
Geister et al. [69] | Qualitative development of the ‘Questionnaire on Pain caused by Spasticity (QPS),’ a paediatric patient-reported outcome for spasticity-related pain in cerebral palsy | 2014 | Questionnaire on Pain caused by Spasticity (QPS) | To report the qualitative development and documentation of content validity for the ‘Questionnaire on Pain caused by Spasticity’ (QPS), a patient-reported outcome and observer-reported outcome for the assessment of spasticity-related pain in children with cerebral palsy | Condition-specific: cerebral palsy | 2–16 years |
Gilchrist et al. [28] | Development and evaluation of CARIES-QC: a caries-specific measure of quality of life for children | 2018 | CARIES-QC | To develop and validate a caries-specific measure of quality of life for children that could be used to evaluate different approaches for the management of dental caries. This includes its reliability and responsiveness | Condition-specific: dental caries | 5–16 years |
Graham et al. [36] | A new measure of health-related quality of life for children: preliminary findings | 2007 | Child Quality of Life questionnaire (CQOL) | The present study reports the development of a measure that can be used as a generic core for a variety of investigations, involving children with different types of health problem. The study also seeks to determine whether the CQOL is feasible to use in children with different health conditions | Generic quality of life measure | 10–14 years |
Hareendran et al. [24] | Evaluating functional outcomes in adolescents with attention-deficit/hyperactivity disorder: development and initial testing of a self-report instrument | 2015 | No abbreviated name mentioned | To identify the impacts of attention-deficit/hyperactivity disorder (ADHD) that are most relevant to adolescents. The study also aimed to explore the feasibility and options available for collecting adolescent self-reports that capture these impacts | Condition-specific measure: ADHD | 13–17 years |
Hartmaier et al. [70] | Development of a brief 24-h adolescent migraine functioning questionnaire | 2001 | 24-h AMQ | To develop, with adolescent migraineurs, a brief, easily completed measure that would assess the functioning of adolescents during and immediately following a migraine attack | Condition-specific: migraine | 11–17 years |
Hoffman et al. [52] | Health-related quality-of-life instruments for children with cochlear implants: development of child and parent-proxy measures | 2018 | CI-QoL | To develop the first cochlear implant-specific health-related quality-of-life measures for school-aged children (6–12 years) | Condition-specific: cochlear implants | 6–12 years |
Hilliard et al. [51] | Assessing health-related quality of life in children and adolescents with diabetes: development and psychometrics of the Type 1 Diabetes and Life (T1DAL) measures | 2019 | T1DAL measures for children and adolescents | To design and evaluate the psychometric properties of a suite of developmentally tailored measures of diabetes-specific HRQOL for youth with type 1 diabetes, called ‘Type 1 Diabetes and Life’ (T1DAL). Presented in the paper are two T1DAL measures for children and adolescents | Condition-specific: type 1 diabetes | 8–17 years |
Khadra et al. [41] | Development of the Adolescent Cancer Suffering Scale | 2015 | Adolescent Cancer Suffering Scale | To develop a scale to measure suffering in North American adolescents diagnosed with cancer | Condition-specific: cancer | 12–18 years |
Markham et al. [22] | Children with speech, language and communication needs: their perceptions of their quality of life | 2009 | No abbreviated name mentioned | This study is part of a programme of research aiming to develop a quantitative measure of quality of life for children with communication needs. The study aimed to provide a qualitative, child-centred description of the quality of life experiences of children and young people with speech language and communication needs | Condition-specific: speech and language issues | 6–18 years |
Marino et al. [48] | The development of the pediatric cardiac quality of life inventory: a quality of life measure for children and adolescents with heart disease | 2008 | Pediatric Cardiac Quality of Life Inventory (PCQLI) | To report the development of a disease-specific paediatric cardiac quality-of-life instrument that was generally applicable, and able to discriminate among different types of congenital and acquired heart disease | Condition-specific: cardiac issues | 8–18 years |
McMillan et al. [40] | The development of a new measure of quality of life for young people with diabetes mellitus: the ADDQoL-Teen | 2004 | ADDQoL-Teen | This paper describes the design and subsequent psychometric validation of a new teenager-centred, individualised measure of the impact of diabetes on the QoL of teenagers, the ADDQoL-Teen | Condition specific: diabetes mellitus | 13–16 years |
Morris et al. [47] | Development of the Oxford ankle foot questionnaire: finding out how children are affected by foot and ankle problems | 2007 | Oxford ankle and foot questionnaire | To use child-centred focus group methods to identify how children’s lives are affected by foot and ankle problems. The issues identified by the children would subsequently be used to generate items for a family-assessed instrument to measure the severity of the foot or ankle problem from a child’s perspective | Condition-specific: foot and ankle problems | 5–15 years |
Oluboyede et al. [21] | Development and refinement of the WAItE: a new obesity-specific quality of life measure for adolescents | 2017 | Weight-specific Adolescent Instrument for Economic-evaluation (WAItE) | To report the identification of the final descriptive system of the WAItE, using qualitative interviews with the adolescent population to collect information about the impact of weight on quality of life | Condition-specific: obesity | 11–18 years |
Panepinto et al. [46] | Development of the PedsQL sickle cell disease module items: qualitative methods | 2012 | PedsQL Sickle Cell Disease Module | The study reports the qualitative research utilised to develop the new PedsQL™ Sickle Cell Disease Module for paediatric patients with sickle cell disease and support its content validity | Condition-specific: sickle cell disease | 2–18 years |
Patel et al. [55] | Development of the Malocclusion Impact Questionnaire (MIQ) to measure the oral health-related quality of life of young people with malocclusion: part 1—qualitative inquiry | 2016 | Malocclusion Impact Questionnaire (MIQ) | To seek the views of adolescents on the aspects of their malocclusion which affect their everyday life and to incorporate these views into a new malocclusion specific questionnaire | Condition-specific: malocclusion | 10–16 years |
Peterson et al. [31] | Development and pilot-testing of a health-related quality of life generic module for children and adolescents with chronic health conditions: a European perspective | 2005 | DISABKIDS | To develop a reliable, valid, and sensitive measure to assess HRQOL across health conditions for different countries. The current paper focuses on the pilot testing and psychometric testing of the developed measure—although the initial development steps are also briefly described | Condition-specific: chronic health conditions | 8–16 years |
Raphael et al. [33] | The Quality of Life Profile Adolescent Version: background, description, and initial validation | 1998 | Quality of Life Profile: Adolescent Version (QOLPAV) | To report the development of the Quality of Life Profile: Adolescent Version (QOLPAV), including findings from an initial validation provided | Generic: quality-of-life measure | ‘High school students’ |
Ravens-Sieberer et al. [37] | KIDSCREEN-52 quality-of-life measure for children and adolescents | 2005 | KIDSCREEN-52 HRQOL questionnaire | To provide an overview on the development steps and initial psychometric results of the KIDSCREEN-52 HRQOL questionnaire | Generic: health-related quality-of-life measure | 8–18 years |
Resnick et al. [39] | Development of a questionnaire to measure quality of life in adolescents with food allergy: the FAQL-teen | 2010 | FAQL-teen | To create a food allergy-specific quality of life assessment tool explicitly for adolescents in the United States | Condition-specific: food allergies | Adolescents, no specific ages given |
Ronen et al. [23] | Health-related quality of life in childhood epilepsy: the results of children’s participation in identifying the components | 1999 | No abbreviated name mentioned | This paper reports the findings of qualitative research into the different elements of health-related quality of life in childhood epilepsy. The findings are being used to develop a measure of health-related quality of life in childhood epilepsy | Condition-specific: epilepsy | 6–12 years |
Rutishauser et al. [71] | Development and validation of the Adolescent Asthma Quality of Life questionnaire (AAQoL) | 2001 | Adolescent Asthma Quality of Life questionnaire (AAQoL) | To report the development and validation of a new asthma-specific health-related quality-of-life questionnaire in adolescents | Condition-specific: asthma | 12–17 years |
Simeoni et al. [35] | Validation of a French health-related quality of life instrument for adolescents: the VSP-A | 2000 | VSP-A | To report the major psychometric properties of the VSP-A, including item generation based on the adolescent’s viewpoint, and the testing of these properties | Generic: health-related quality-of-life measure | 11–17 years |
Stevens [19] | Working with children to develop dimensions for a preference-based, generic, paediatric, health-related quality-of-life measure | 2010 | CHU-9D | To document the development of relevant dimensions for a new generic paediatric preference-based measure of health-related quality of life | Generic: health-related quality-of-life measure | 7–11 years |
Tadic et al. [72] | Development of the Functional Vision Questionnaire for Children and Young People with Visual Impairment | 2013 | FVQ-CYP | The paper reports the development and piloting of a novel instrument, the functional and visual questionnaire for children and young people. Qualitative data from the research program is used to describe children’s own perspectives of what it was like to live with a visual impairment | Condition-specific: visual impairment | 10–15 years |
Varni et al. [34] | The Paediatric Cancer Quality of Life Inventory (PCQL). Instrument development‚ descriptive statistics‚ and cross-informant variance | 1998 | Paediatric Cancer Quality of Life Inventory (PCQL) | To describe the item development of the Paediatric Cancer Quality of Life Inventory (PCQL) and to report initial findings on its measurement properties | Condition-specific: cancer | 8–18 years |
Waters et al. [45] | Development of a condition-specific measure of quality of life for children with cerebral palsy: empirical thematic data reported by parents and children | 2005 | No abbreviated name mentioned | To identify themes of quality of life for children with cerebral palsy to guide the development of a new condition-specific quality-of-life scale | Condition-specific: cerebral palsy | 5–12 years |
Characteristics of Included Studies
All included studies had a similar aim: to document the development of a measure for children and/or young people. However, the studies differed in terms of how much of a focus there was on reporting the methods for, and results of, the development of the items. Two thirds of the papers discussed the quantitative psychometric validation and development of items, although this was in varying detail, and only seven focused solely on item development. Most studies aimed to develop a condition-specific measure (31/37), with many for use with specific diseases but some also designed for use generically across disease areas, for example, chronic conditions [31, 32]. Six studies reported on the development of generic measures for quality of life or health-related quality of life of CYP [19, 33–37]. Although most studies focused on measuring quality of life in CYP, others also aimed for the measure to be suitable for use in cost-effectiveness analyses and as a preference-based measure [19–21, 32].
Almost two-thirds of the studies used other approaches in addition to qualitative methods to develop items. These studies mostly used literature searches, searches for existing relevant measures and consultations with experts. The exceptions were two studies that used the experience of the research team/authors to decide on the factors important to include [38, 39]. Five of the 22 studies suggested that the findings of these other methods were used to inform the direction of questioning or analysis framework for the qualitative inquiry. However, in most studies these additional methods appeared to be used alongside qualitative methods to either support or add information to the developed items, although it was often not clear how this synthesis of information worked. Two of the 15 studies using qualitative methods only suggested that they thought it optimal for the items to be informed solely by direct research with CYP [19, 23].
Most of the measures reported in the papers had been developed for adolescents (11/37), with the next most common being those developed for CYP aged 0–18 years (6/37) or older primary school-aged children to adolescents (i.e., those aged 8–18 years) (7/37). The remaining measures were developed for primary school-aged CYP aged 5–12 years (4/37), secondary school-aged CYP aged 10–15 years (3/37), all school-aged children aged 5–15 years (n = 1) or for use across childhood but excluding very young children aged 0–4 years (3/37). Two papers [33, 39] included unclear information on the age of CYP that their measures had been developed with and for, stating their population as ‘high school students’ and ‘adolescents’ respectively.
Most papers explicitly specified that their measures should only be used with the population that the items had been developed with through empirical work. However, six studies implied that the developed measures could potentially be useful in age groups outside of this. As an example, Varni et al. [34], Ronen et al. [23], McMillan et al. [40] and Gilchrist et al. [28] did not involve any CYP from the upper range of their stated age groups in item development, and Khadra et al. [41] had very little representation from CYP at the lower end. Graham et al. [36] suggested that their measure could potentially be suitable for completion by children (or parent proxies) as young as 5 years, despite the youngest child in their concept elicitation sample being 9 years old. This raises questions around how representative the items in these measures might be for these ‘missing’ age groups, although this is likely to depend on the context and focus of each measure.
Nineteen of the measures involved CYP’s parents/guardians or carers in item development either alongside CYP in paired interviews or focus groups, or in separate data collection. Four papers gave justification for involving parents or guardians, stating that their perspectives can offer additional valuable and valid insight into CYP’s quality of life [24, 42–44]. Others also mentioned practical reasons for involving them—to act as proxies in instances where CYP are not able to participate [20, 43, 45]. One third of the 19 measures involved CYP and parents/guardians separately in data collection where possible, with authors suggesting that this was important to allow CYPs’ individual opinions to emerge [23, 24, 43, 46, 47].
Overview of Qualitative Approach Used in Children and Young People (CYP) Concept Elicitation
Data Collection Methods
The majority (n = 21) of included studies used either in-depth or semi-structured qualitative interviews. Eight studies used focus group methods, and six used a combination of interviews and focus groups. One paper used the nominal group technique, where the aim was for participants to present ideas to the group relevant to the factors important to the quality of life of CYP with heart disease [48]. Participants were asked to rank the shared ideas in order of importance. This method differs from focus groups because members do not discuss (the importance of) research themes between themselves, but instead make judgements independently [49]. In the remaining study [33], the methods for data collection were not explicitly stated; however, it was implied that a qualitative approach (most likely focus groups) was used, as the authors described undertaking ‘group meetings’ with high school pupils for instrument development.
Several papers offered justification for their choice of method. Oluboyede et al. [21] discussed using interviews with adolescents to gather individual perspectives on how being obese/overweight affected their quality of life, with the authors suggesting that adolescents felt more confident discussing this on a one-to-one basis. A further four papers suggested that they selected interviews because it either allowed CYP a more comfortable environment to discuss issues, or because it encouraged them to reflect on how their own lives were affected by their condition [19, 24, 35, 36, 38]. Markham et al. [22] and Ronen et al. [23], however, suggested that they used focus groups with CYP because they provided a supportive and social setting that encouraged CYP to share ideas and experiences.
The Use of Adapted Data Collection Techniques with CYP
Only five of the 37 papers reported adapting data collection methods to make them more suited to CYP, which for all involved using traditional qualitative methods alongside other techniques designed to involve/engage CYP in research. In the case of Stevens [19], this was setting up a warm-up activity for the children, asking them to decorate name badges to help them to relax prior to being interviewed. The author decided against using props or activities during interviews as they thought it would distract from data collection. However, the remaining four papers used adapted techniques during data collection, including the use of pre-set picture cards [22], drawings [21] and statements [47] aimed at prompting discussion about aspects potentially relevant to CYP’s quality of life. For example, Oluboyede et al. [21] used body shape drawings with adolescent focus groups to encourage participants to consider how individuals with bigger body shapes might be affected by their size.
Two of the papers reported using creative/participatory methods with CYP, asking them to use modelling clay [23] and ‘life maps’ [47] to express ways in which their quality of life is affected by their conditions. In the latter study, CYP were asked to create a character who had a foot or ankle problem and think about and map how that character’s life would be affected by their condition at different times of the day (morning, school, home, weekends). Two studies discussed adapting techniques to the different age groups of CYP [22, 47], with younger CYP in the former study drawing rather than writing about their experiences, and younger children in the latter study taking part in games to select topics for discussion, rather than choosing topics at random as with the older children.
There was suggestion from the studies that those using creative and participatory methods were able to engage their relative CYP population for a longer time period. For example, Markham et al. [22], Morris et al. [47] and Ronen et al. [23] undertook focus groups with those aged as young as 6 years old that lasted from 45 up to 90 min. In contrast, focus groups with 5- to 13-year olds in the study by Gilchrist et al. [28] lasted only 12–14 min. In studies using interviews, Gilchrist et al. [28] carried out interviews lasting 6–16 min, Khadra et al. [41] did interviews with adolescents lasting 18 min on average and Stevens [19]—who used warm up activities with CYP but avoided creative methods during data collection—undertook interviews with 7- to 11-year olds lasting from 4 to 26 min. A summary of the qualitative methods and perceived quality of retrieved papers is in Table 2.
Table 2.
Details on the qualitative methods and quality of retrieved papers
Paper | Details on qualitative methods | Other methods used for item generation | Details on analysis | Details on sampling | Parent/guardian input? | Quality summary in relation to COREQ checklist |
---|---|---|---|---|---|---|
Angeles-Han et al. [65] | Interviews with children with and without vision problems | Interviews with experts and selection of relevant items from existing instruments | No detail on qualitative analysis | No information on sampling | No | Very low detail on qualitative methods. No information provided on sampling, data collection or analysis. Some information on researcher credentials available on title page. No data from interviews presented |
Basra et al. [66] | Semi-structured face-to-face interviews with teenage patients aged 12–18 years. Patients were asked to describe ways their lives have been affected by their skin disease | Initial conceptual framework (topic guide) developed from existing literature | Thematic analysis, following grounded theory methodology | Convenience sampling through secondary-referral practice | No | Minimal information on sampling, data collection and analysis. Paper states that saturation reached in relation to themes emerging from interviews. No data from interviews presented |
Beusterien et al. [32] | Interviews with children/adolescents with Hunter syndrome and their parents. Interviews were focused on its impact on everyday life | Literature reviews and use of items commonly used in other generic economic measures | States qualitative data analysis used. No further information on analysis approach | No information was given on how children or carers were sampled for the development aspect of the work | Yes, with parents and carers | No information on sampling, data collection or analysis. No presentation of data from interviews. No details given on the credentials of the research team |
Bray et al. [20] | Data were collected through face-to-face, qualitative semi-structured interviews in participants’ homes, guided by a piloted interview schedule | The interview schedule was developed from the findings of a previous systematic review, discussion within the research team, and with consideration of the items in existing measures | Framework analysis using an a priori coding framework was used to line-by-line code the transcripts. Codes were grouped into categories of related codes, which were subsequently refined into higher order analytical themes giving a broader understanding of the coded transcripts and the relationship between categories of codes. Child and parent responses were analysed separately | Sampled wheelchair users were stratified by age (0–5, 6–15, 16–18) and by interview set up (child alone, parent alone, parent and child). Potential participants were sent postal information about the study and indicated consent to participate by filling in demographics questionnaire | Yes | Extensive information available on sampling data collection and analysis, although approach to sampling not explicitly outlined. Author provided information on the research team but no reflexivity. Interview schedule and coding framework available. Mentions ethical approval for qualitative study. Authors acknowledge limitations of work i.e. no checking of findings by participants or double coding of data. Uses quotations to support findings |
Bruce et al. [42] | Focus groups with children and their families. Questions during focus groups focused on what participants considered important to their health-related quality of life | A literature review of previously generated inventories was used to identify items and dimensions that might be relevant to guide discussions in the focus groups | No formal qualitative analysis discussed | Children approached for participation during routine clinic appointments | Yes | Very little information on data collection and sampling. No information on qualitative analysis or research team or reflexivity. Authors reported reaching saturation in terms of the themes generated from the focus groups |
Das et al. [67] | Qualitative study with in-depth interviews and focus groups to inform tool development. Principal caregivers were requested to participate in in-depth interviews, whilst children living with HIV took part in focus group discussions with other children in their age group | A literature review was undertaken, and experts consulted regarding selection of items for the scales | No information on how qualitative data were analysed | Participants recruited with the help of an HIV community-based organisation and through a convenience sample of children with HIV and their caregivers residing in the districts of West Bengal | Yes, with caregivers | Very little information on methods and sampling. No details on research team or qualitative data analysis. No information on how themes were derived from the qualitative data to inform the items of the measure. No presentation of data to support findings |
Davis et al. [50] | Interviews were conducted with young people and their primary caregivers. The research used a grounded theory approach, with the interviews aimed at being as open and receptive as possible to allow theory to be developed from the data | No other methods used | The researchers read all responses to identify themes related to quality of life and a list of inductively derived responses was developed. The researchers discussed the interpretation of the data until consensus was achieved. Both researchers re-read the transcripts and coded the patterns by deductively applying the coding framework to each transcript | Families were purposively selected from a hospital register. Families were selected to ensure representation of age, sex and functional severity | Yes | Detailed information available on sampling, data collection and the research team. The authors provided reflection on the impact of their role/characteristics on research findings. Saturation was met and ethical approval for the qualitative research discussed. Information on analysis process not as detailed as other areas, particularly the approach to, and process of, analysis. Use of participant quotes to support findings |
Flokstra-de Blok et al. [68] | Adolescents were interviewed on the effect of food allergy on their daily lives | Literature reviews and expert opinion | No information provided on analysis | Participants were recruited from an outpatient paediatric allergy clinic. Two adolescents were approached during a trial, and eight adolescents were approached by telephone | No | Very little information available on data collection, sampling. No information provided on data analysis or the research team. No quotations or themes presented from qualitative data. The paper states that a full description of the methodology is available in unpublished data |
Fiume et al. [44] | Interviews explored parent and child perspectives on the impact of child’s stroke on quality of life | Literature review and informal consultation with experts | Qualitative content analysis of interview responses. Based on the analysis, a series of charts were created compiling emergent themes and frequency, and items and domains of concern | No information on sampling | Yes. Adolescent interviews undertaken separately from parents | Very limited information on data collection and analysis. No information on sampling and the research team. No data presented from the interviews to support findings |
Follansbee-Junger et al. [43] | Focus groups. Semi-structured, open-ended questions were asked of participants to identify and develop the content of the items. Short interviews undertaken with younger children | Literature review undertaken to generate content and develop the conceptual framework for the focus groups. Expert input | Thematic analysis. Focus group transcripts coded by two separate reviewers. Thematic content examined by three researchers and final decisions on main themes made by consensus | Families recruited during routine medical visits. Sample included spectrum of ages, developmental abilities, sex and type of epilepsy | Yes | Detail included on research team, data collection and analysis. Saturation of interview themes and double coding of data reported. Analysis process not described in detail and no quotes from focus groups data. Findings from interviews with young children not discussed |
Franciosi et al. [38] | Focus interviews. All interviewers were trained by an experienced qualitative researcher and provided with a semi-structured interview guide of open-ended questions | A priori domains were developed based on the existing literature and the experience of the research team to inform the measure and questions for the interviews | Responses were grouped according to open-ended questions, domains of interest, and age ranges. Common domain themes were elicited when two or more participants described them, and content themes were then derived by consensus among the research team. Disagreements were resolved by further discussion | Participants were identified from local and referral populations at a hospital medical centre. Children and young people were sampled from different age groups: 5–7, 8–12 and 13–18 years of age | Yes. Children aged 8–18 years interviewed separately from their parent | Good amount of information on researchers’ backgrounds/credentials. Information available on data collection, sampling and analysis. Saturation of themes reported. However, no data reported from the qualitative interviews and no formal qualitative analysis approach stated. Mentions ethical approval for the qualitative study and interview topic guide available |
Geister et al. [69] | Paired concept elicitation, semi-structured interviews used, following a topic guide. Initial open-ended questions were used, followed by probing questions on specific symptoms and situations | Current peer-reviewed literature was searched for important concepts to inform the modules of the measure | Content analysis. Interviews were coded using Atlas.ti software. Inter-rater agreement between coders was assessed on approximately 10% of the transcript database. Saturation of concept was determined to have been reached when there were no longer new concepts being coded | Participants and parents/carers identified through patient records and recruited through four diverse clinical sites in the USA. Maximum variation sampling used to recruit children of different ages and severity of conditions | Yes. Paired interviews were conducted with the child and parent or guardian | Description available of sampling, data collection and analysis process. No information on background of research team or reflexivity. Double coding of interview transcripts and saturation of interview themes reported. No presentation of qualitative data to support themes |
Gilchrist et al. 2018 and sister paper: Gilchrist et al. 2015 [28, 29] | Focus groups and interviews with children. The focus groups were facilitated by two dentally qualified researchers and took place in a non-clinical room | The interviews were conducted by one researcher and were recorded. The venue and time of the interview were selected by the participant and their family | Framework analysis was used to classify the data according to themes and categories that emerged. Transcripts were analysed independently by two researchers. Recurring themes were identified and then further developed. The themes were then grouped into main and subthemes. Thematic charts were created | Children were purposively sampled from both a primary care dental setting and a dental care service to take part in qualitative focus groups and interviews. Sampling continued until data saturation was reached | No | Most detail on qualitative methods came from sister paper (Gilchrist et al., 2015). Good information from both papers combined on sampling, data collection and analysis. Sister paper covers research team credentials and reflexivity. Double coding of data and saturation mentioned |
Graham et al. [36] | Free-ranging, semi-structured interviews were held with parents and some children with chronic physical disorders. Interviews encouraged detail on daily activities to identify how illness had affected these | Existing and relevant quality-of-life measures with both children and adults were reviewed | Qualitative analysis not discussed, only that findings were grouped into themes by members of research team | Sampling for measure item development not discussed | Yes | Very little information on method. No discussion of sampling or analysis for item development. No qualitative data presented to support findings (questionnaire domains). Mentions ethical approval for the qualitative study |
Hareendran et al. [24] | Concept elicitation interviews were conducted with adolescents diagnosed with ADHD and their primary caregivers. A conceptual framework was used to inform the structure and content of the concept elicitation interview guide. Interviews started with an open-ended discussion about the impact of ADHD, followed by questions on specific issues | Literature review and expert interviews to inform conceptual framework for interviews | A content analysis approach was used to analyse data from the interviewers’ field notes, and from the transcripts of audio-recorded interviews. A coding dictionary was developed based on the themes and concepts that emerged during the discussions. Analysis was conducted by two of the authors | Participants were recruited from seven clinical sites from different regions in the USA. A purposive sampling method was used to recruit the sample | Yes, primary caregivers | Good level of information available on sampling, data collection and analysis. No information on research team or reflexivity. Saturation and double coding of interview data reported. Themes supported with quotations from qualitative data, but no topic guide supplied. Ethical approval mentioned |
Hartmaier et al. [70] | Unstructured in-depth interviews with 10 adolescent migraineurs | Literature reviews and interviews with experts | No discussion of how interview findings were analysed | Ten adolescent subjects with migraine who were considered articulate about their migraine experiences were recruited | No | Minimal detail on qualitative method used. No discussions of sampling or data analysis. No background provided on the research team. Ethical approval and informed consent for study participation discussed |
Hilliard et al. [51] | Individual qualitative interviews using semi-structured interview scripts. The researchers asked open-ended questions and used prompts and probes to elicit additional comments or clarify responses. Interviewers also invited participants to discuss any other topics related to type 1 diabetes that they felt were important | Review of existing relevant instruments and literature to allow study team to generate a preliminary list of health-related quality-of-life topics for potential inclusion as items in the measures | No formal qualitative analysis discussed. The interviewers audio-recorded the interviews and recordings were transcribed. The study team then designed the items to reflect the themes from the qualitative interviews and previous literature. Expert collaborators reviewed the draft measures and provided feedback | Study staff reviewed patient schedules to identify eligible youth with upcoming medical appointments and sent study information letters via email, followed by a telephone call to introduce the study and schedule a visit | Yes. Youth interviews conducted separately from parents | Good information available on data collection, sampling and examples of interview questions. Mention of ethical approval for item development and consent/assent from participants (including youth) for the qualitative study. However, no mention of any formal qualitative data analysis and no quotations to support themes from the data. Some reference to researcher background characteristics |
Hoffman et al. [52] | Qualitative interviews with children with cochlear implants and their parents. Discussion guides included an outline of open-ended questions and a series of follow-up probes to elicit additional information | A literature review and focus groups with stakeholders were used to create conceptual framework that was followed during interviews with children | Content analysis. To identify common themes and generate initial codebooks for the coding tree, transcripts were randomly selected. The authors grouped phrases from the transcripts by theme to create codebooks and these were then used to code all transcripts. Transcripts were coded in pairs to achieve consensus coding | To ensure demographic and geographical diversity, children were recruited from national, paediatric cochlear implant centres. Flyers about the study were distributed to all families of paediatric patients in the desired age range | Yes | Some information available on data collection and sampling. Detailed description of analysis process and presentation of some quotations from interviews. Diagram of conceptual coding framework given. Ethical approval for the study and saturation of content from interviews mentioned. No information on research team or reflexivity |
Khadra et al. [41] | Interviews were conducted with individual adolescents in a private office at the clinic or in the patient’s room. The interviews were semi-structured, based on a list of open-ended questions | The conceptual model used to guide the content of the semi-structured interviews was based on the components of an existing quality-of-life model for cancer survivors | The Corbin and Strauss method of constant comparison, including immersion, coding, categorisation and grouping was used to analyse the content of the interviews. Authors examined the data and contextual references and searched for differing meanings of words. Line-by-line analysis was performed to assign appropriate codes to units of data | Convenience sampling method used for recruitment through an outpatient clinic in a paediatric hospital | No | Information available on sampling, data collection and analysis. Some information given on research team and their role in research. No discussion of saturation or presentation of quotations from interview findings. Ethics and informed consent for study participation mentioned |
Markham et al. [22] | Focus groups with children and young people including the use of enabling techniques, which provided participants with additional and alternative methods of exploring and responding to research questions, including the use of a picture-card game designed to encourage children to relate their own experiences during discussions | No other methods used | Analysis used grounded theory and framework analysis. Transcripts were searched for units of meaning relating to the research question. These units were indexed with descriptive labels in a process of open coding using constant comparison analysis. As analysis progressed and new codes were added to the index, these were also iteratively applied to transcripts previously analysed | All participants included in the study were aged between 6 and 18 years; attending full-time education within a mainstream education setting, including language units, or a special school for children and young people | No | Detail on qualitative method and enabling techniques and analysis. Limited information on sampling. Discusses reflexivity and how background of the researcher may have influenced findings. Mentioned reaching saturation of focus group themes. Ethics and informed consent discussed |
Marino et al. [48] | Data collection used the nominal group technique, where members respond to a set of scripted questions, after which a single idea is put forward by each participant until all ideas generated from the scripted questions are discussed. The scripted questions focused on issues important to children’s/adolescents’ quality of life with heart disease | No other methods used | Ideas from the nominal groups were entered into a cumulative list of potential items. Items on the cumulative master lists were then separated into a priori hypothesised dimensions. The research team met to review content, and through note summarisation and constant comparison deleted redundancies within cumulative lists | Potential nominal group members were identified through the Cardiac Center database at a children’s hospital. Eligible patients were sorted alphabetically, and every third patient/parent was contacted. Eligible patients were invited by telephone to participate | Yes | Processes of sampling, data collection and analysis discussed. Ethical approval and informed consent for participants mentioned. Some details on research team given. Some examples of questions asked to groups given in text. No quotations from nominal group data to support findings |
McMillan et al. [40] | Semi-structured interviews using open-ended questions were conducted with teenagers with diabetes, and focus group discussions took place with teenagers in small groups of 2–4 teenagers each | No other methods used | No information on qualitative analysis | Participants were sampled from four hospitals in Greater London | No | Lack of detailed information on sampling and data collection. No information at all on qualitative analysis. Limited information on sample of teenagers participating in research. No quotations from interviews/focus groups to support research findings. No information on research team. Ethical approval for study mentioned |
Morris et al. [47] | Focus groups. Each group was led by a facilitator experienced in conducting focus groups with children. In the first session, participants were invited to agree or disagree with the pre-set statements regarding their quality of life with a foot or ankle problem. The second activity involved life-mapping, in which the groups were asked to consider issues arising during a day in the life of a child with a foot or ankle problem | No other methods used | The audio recordings were transcribed, and the accuracy checked. Grounded theory and content analysis were used to group each of the issues that participants had raised. Each part of the transcripts was coded by comparing the text with pre-set constructs and the comments provided by others. The verbatim statements were subsequently aggregated into categories and labelled accordingly | Children using health services for foot and ankle problems were identified by healthcare professionals at an NHS orthopaedic hospital. The families of those children who were between 5 and 15 years old and had attended the hospital in the preceding 2 months were mailed invitations to take part in a focus group | Yes, involved in separate focus groups | High level of detail available on data collection. Some information on sampling and analysis. Extensive quotations from focus groups reported to support findings. Ethics approval for the research mentioned. Limited information on research team |
Oluboyede et al. [21] | One-to-one interviews conducted to gather information on how being overweight impacts aspects of life. Focus groups with treatment seeking and non-treatment seeking adolescents for wider views on issues of importance | Review of existing weight-specific instruments to guide topics of questioning during interviews | Framework analysis. Themes were identified from listening to interviewed recordings and reading through transcripts using an iterative process. A matrix summarised and synthesised data generated from the interviews | Adolescents recruited from three UK-based weight management centres and one school. Sampled purposively according to gender and age | No | Information on sampling, data collection and analysis. Topic guide for interviews provided. Analysis validated by a second reviewer. No qualitative data (quotes) presented to support findings. Very little information given on research team |
Patel et al. [55] | Interviews. Open questions to avoid leading participants’ answers. Topic guide developed and used in a flexible manner and adapted as data collection progressed. Interviews were split between a non-clinical environment and participants’ homes | Prior to carrying out the interviews, a topic guide was developed with reference to existing literature | Framework analysis. Transcripts from interviews were read and notes were made independently by the two interviewers on the general themes emerging. An initial thematic framework was developed and discussed within the study team. Sections of transcripts were labelled by the interviewers to indicate which themes data related to. Thematic charts were created for the main themes | Potential participants were identified by the clinician treating them in the orthodontic departments at two National Health Service (NHS) hospital Trusts. Purposive sampling was used to ensure representation of key characteristics: age, gender, ethnicity and malocclusion type | No | Detail available on sampling, data collection and analysis. Some details given on research team i.e. researcher backgrounds and qualifications. Presentation of quotations from data to support themes and item development. No presentation of topic guide or coding framework |
Panepinto et al. [46] | In-depth interviews conducted with paediatric patients with sickle cell disease. Open and semi-structured questioning was used to elicit themes around issues identified as important from the literature review and experts | A literature review was undertaken to identify important issues for the interviews. Expert opinion was used to review the domains | A content analysis was performed. Attention was paid to the frequency, extensiveness, specificity and emotion of the themes. Themes were later grouped into appropriate disease and treatment-related areas to inform domains | Participants were recruited from a disease-specific clinic in the US. Purposive sampling ensured that different age groups and clinical phenotypes were represented | Yes. Separate parent and child interview undertaken. Children aged 5–7 years were interviewed with parent present | Saturation mentioned. Analysis performed by three researchers. Authors gave background information on the research team. Interview topic guide included in paper. No information on how participants were approached for participation. Presentation of some quotes from interviews |
Peterson et al. [31] | Focus groups with children and adolescents. At the beginning of groups, questions were asked about how they view their condition and how they cope with it | Literature review of other health-related quality-of-life measures to inform measure development | Statements from the focus groups were grouped into three sections to inform the measure: (a) generic (b) chronic generic and (c) condition specific | No information on sampling apart from that the focus groups were stratified by age and severity of disease | Yes | Very little information on sampling and no formal qualitative analysis reported. No presentation of themes from the focus groups. No information on the research team |
Raphael et al. [33] | Authors suggest that focus groups methods were used but this is not made clear. “Instrument development began with a series of six group meetings with high school students.” Adolescents were asked what the term “quality of life” meant to them | Adolescent development and adolescent health literature were drawn on in item development | Responses from the participants were collected, reviewed by the authors, and developed into instrument items | No information on sampling | Yes | Not clear whether formal qualitative research method used. Limited information on sampling and data collection. No mention of formal qualitative analysis. No presentation of data to support focus group themes. No information available on research team |
Ravens-Sieberer et al. [37] | Focus groups with children and adolescents discussed different aspects of their perceived quality of life. Facilitators followed a protocol which contained open questions to very narrow questions | Literature reviews and expert consultation (Delphi study) were used alongside focus groups to determine the dimensions of the measure | No discussion of formal qualitative analysis. Statements derived from the focus groups were rewritten into an item format and reduced using quantitative techniques (including card sorting techniques) | Focus groups took place across different country settings, with children and adolescents of different age ranges and gender | Yes. Parents of children and adolescents were included in the focus groups | Very limited information on sampling and data collection. No discussion of nature of parental involvement in focus groups. No formal qualitative analysis mentioned. No presentation of quotations from focus group data. No information on research team |
Resnick et al. [39] | Focus groups with food-allergic adolescents | Information from literature reviews and the experience of the authors were used alongside focus groups to develop questionnaire items | No formal qualitative analysis discussed | No information on sampling aside from that focus groups took place across three states in the USA | No | No information on sampling, analysis or the research team. No information on how focus groups were conducted or on characteristics of the adolescents involved. No presentation of data from focus groups. Does mention ethical approval for study |
Ronen et al. [23] | Focus groups with children with epilepsy. The groups were modified with pre-set activities to prompt the discussions, which were facilitated by child-life specialists. Activities included drawing maps of important places in the child’s daily life to elicit discussions about their external world and forming playdough to trigger dialogues about their internal world. Each group discussion lasted 90 minutes | No other methods used | Textual analysis of the raw data using the Ethnograph V4.0 software. This consisted of identifying the components of health-related quality of life. The process of coding, categorising, and reassembling the raw data was continuously revised as the field work continued. A higher level of textual analysis followed, discovering relationships and trends, and clustering the codes into smaller numbers of dimensions | Stratified purposeful sampling. Children registered on the Child and Adolescent Epilepsy Database were approached for the study. Families who met the entry criteria were invited by a letter, followed up by a telephone call, to participate in the focus groups. Children were stratified by age and duration of epilepsy | Yes. Parents participated in separate focus groups | High level of information on sampling and data analysis. Focus groups findings were validated with a subset of the original participants. Saturation of the categories emerging from the focus groups was reached. Double coding of focus group data undertaken. No information on research team. Adapted methods were used with children during focus groups. Participant quotations available to support findings |
Rutishauser et al. [71] | Focus groups and three single interviews were used and began with open-ended questions followed by semi-structured interview questions | An initial pool of items for item selection were generated by a critical review of the literature including existing health-related quality-of-life measures and expert opinion | No formal qualitative analysis discussed | Participants were recruited from paediatric asthma clinics in two tertiary hospitals | No | No information on how qualitative data were analysed. Limited information on data collection and sampling. No presentation of quotations from qualitative data. Saturation mentioned. No information available on research team |
Simeoni et al. [35] | Interviews with adolescents. The first part of the interviews were conducted by a trained interviewer and explored in a nondirective way the impact of health on their quality of life. The second part was a semi-structured interview concerning principal topics reported in the international literature | Results of literature review used to inform topics explored in the interviews | Interviews were recorded, transcribed and analysed using content analysis | Adolescents attending public schools in a south-eastern county of France were randomly selected. The population was stratified according to age and socioeconomic status | No | Saturation reached with interview data. Very little information on sampling, data collection or analysis. No empirical data presented from interviews. No information available on the research team, and very little on sampled adolescents |
Stevens [19] | Semi-structured interviews to ask children about how health problems affected their lives. A topic guide was used to facilitate probing around important issues. The format of the interview was first to ask the child about any health problems and then ask additional questions about how the child’s health affected her or his life. All questions asked were open-ended | The author used qualitative research only to ensure that existing literature and measures would not influence findings and item selection | Thematic content analysis with Framework analysis used to identify dimensions of health-related quality of life directly from the data. Data were analysed using NVivo software. The data were charted, producing a matrix of subthemes and respondents. Each subtheme was reviewed for explanations behind the affected areas of health-related quality of life to develop the dimensions | Purposive sampling. Children were sampled from two schools in Sheffield, UK. Schools were chosen to represent diversity in ethnicity and social class. Children were also sampled according to age and health status | No | Sampling, data collection and analysis described in good level of detail. Saturation reached. Quotations from interviews included in the paper to support themes. Author gives some information on background and possible biases (reflexivity). Data only coded by one researcher (although analysis overseen by another researcher). Length of some interviews very short (4–26 minutes). Mentions ethical approval and informed consent (assent) |
Tadic et al. [72] | Semi structured interviews. Questionnaire items were developed by grouping qualitative statements related to general activities, activities related to visual impairment, level of functioning, restrictions and limitations in activities and mobility | Themes from an existing measure were used to inform the analysis framework for qualitative interview data (home, school and leisure themes) | Two researchers independently coded interviews using Nvivo 9 software, grouping together all relevant statements. Statements were reviewed by another two researchers who rated all the statements, with these ratings being compared to inform the final item pool | Stratified sampling approach used. Databases of eligible patients attending two eye hospitals and clinics in the UK were recruited | No | No formal qualitative analysis described. No information on the research team. Some information available on data collection and sampling. Multiple researchers coding qualitative data. Ethics approval for the study mentioned. No themes for interviews presented |
Varni et al. [34] | Open-ended interviews with children and their families | Questionnaire initially based on an extensive search of the relevant literature and discussions with healthcare professionals who care for paediatric cancer patients | No information on qualitative analysis included | Participants were recruited at three major paediatric cancer centres. Description of the sample is also provided (inclusion and exclusion criteria) | Yes. Interviews with parents also | No discussion or detail on data collection, analysis or research team. Very little information on sampling. No presentation of qualitative data from interviews. No information on how parent interviews were carried out |
Waters et al. [45] | Interviews with families of children with cerebral palsy. Interviews lasted 30 minutes | Interview questions were derived from a review of the quality of life literature | The study employed a grounded theory approach. Themes from the interviews were extracted by three researchers. Agreement on key themes was achieved by discussion | Purposive sampling. Families were selected from the Victorian cerebral palsy register (maintained in Melbourne). The sample was intended to be representative of age, socio-economic status, functional severity and geographical location | Yes. Mostly parental interviews but some children with mild impairments were able to take part in interviews with their parents present | No discussion of research team or suggestion that any formal approach to qualitative analysis was used. Topic guide available in appendix of paper but no presentation of interview data. Mentions ethical approval for the study. Some information on aspects of sampling and data collection |
The Quality of Reporting in Concept Elicitation for CYP
The retrieved papers varied in terms of the number of COREQ checklist criteria met; however, almost half of the papers reported on none or very few of the 32 quality indicators.
Reporting on Data Analysis
Papers tended to miss reporting information on data analysis, with 15/37 not including any information on the approach to qualitative analysis used. An additional four papers included only very brief information on analysis, including the technique used (e.g., content analysis or constant comparison) but with little or no information on the process of data analysis, that is, how codes were developed and applied to the data and how themes were identified. In terms of findings, only eight of the 37 papers included quotations from the data to support the themes that had informed the items of their measures.
Reporting on Sampling
Seven papers included no information on sampling at all. A further seven studies included very basic information on either the sampling strategy (e.g., convenience or purposive sampling) or where participants were identified. The papers generally lacked information on the methods for initially contacting participants (e.g., though face-to-face consultation or postal invite) and information on those who had declined to participate. Two papers also lacked basic information on the age of the CYP included in their study [33, 39].
Reporting on Data Collection
More information was generally available on data collection, with all but one paper [33] making clear which data collection method they had used. Just under one third of the papers gave an indication of the average duration of focus groups or interviews, and a similar number mentioned reaching saturation of the themes identified to inform items. However, only nine papers included an interview/focus group topic guide or examples of the questions that were asked to participants. The papers also tended not to include information on where data collection took place and who was present.
Reporting on Research Team and Reflexivity
The most common area in which information was lacking was on research team and reflexivity, with only eight [22, 28, 38, 41, 43, 46, 50, 51] of the 37 papers including any sort of background information on the researchers (including gender and academic background). Of these seven papers, only two provided reflections on how the backgrounds of the authors may have influenced data collection or the nature of research findings. For example, Gilchrist et al. [28] commented on the potential impact of the researcher’s role as a dentist when exploring the consequences of dental caries on children’s quality of life. The authors reflected that due to the researcher not being the children’s personal dentist, it would have been unlikely to have inhibited children’s interview responses—and further, because the researcher was not aware of the children’s dental history until after interviews had been undertaken and transcripts analysed, it was unlikely to have affected the nature of this researcher’s questioning or analysis. In contrast, Davis et al. [50] reported that the comprehensiveness of their findings on the impact of cerebral palsy on adolescents may have been impacted by both the researchers being female, with the possibility that male adolescent participants may not have felt comfortable discussing more sensitive issues (such as relationships) with female researchers. Markham et al. [22] acknowledged that his professional and academic background would have potentially biased data collection and analysis but suggested that this potential had been “mitigated by the facilitator’s reflexivity, whereby a priori preconceptions were consciously noted and attempted to be bracketed from the study” [p. 753]. However, the author gave no indication of what these biases might have been, and how they had been avoided.
Strengths in Reporting
Despite many of the papers meeting limited quality criteria on the COREQ checklist, there were strengths to some of the studies reviewed. Eleven met 15 or more of the 32 checklist criteria, including greater coverage of information on sampling, data collection and analysis than other papers. Four studies (three of these being those identified as meeting a high number of criteria on the COREQ) reported following FDA guidelines for measure development [19, 21, 46, 52] and a further study (also highly detailed) mentioned following the COREQ guidelines for reporting [20]. Twenty of the 37 papers stated that they had ethical approval for the qualitative study, with twelve mentioning gaining informed consent (or assent) from research participants. It is important for researchers to show that they have thought about ethical issues, particularly when conducting research with CYP who may be vulnerable to pressure to take part in studies or who may not fully understand what they are being invited to participate in [53, 54]. However, despite the acknowledgement of ethical procedures within many of the papers, only two of these mentioned developing study information sheets specifically for CYP’s understanding, which if not developed, may have limited CYP’s ability to give informed assent for their participation in research [14].
Discussion
The review retrieved a total of 37 papers, featuring condition-specific and generic measures to record changes in the quality of life of CYP. Most studies had developed measures for adolescent populations and had used either interviews or focus groups for item generation, with those choosing interviews seemingly because the method provided a more comfortable environment for CYP to discuss individual and potentially sensitive issues. This fits with previous recommendations made for PROM development in paediatric populations, which suggest that focus groups might lead to social desirability bias, as CYP could feel inhibited to express their own opinions and more likely to agree with previously raised themes in group situations [11]. Therefore, the use of focus groups in this context could potentially cause problems around the representation of all CYP’s views in item generation. However, similar issues could conceivably arise in interviews, in situations where CYP might feel compelled to answer questions in a manner that they think will be viewed favourably by the interviewer.
A relatively low number of studies discussed adapting methods to be more suitable for the CYP population, with only four using creative and participatory methods alongside interviews and focus groups. Several PROM guidance papers recommend the use of such approaches with CYP to keep their attention [11] and to help overcome anxiety and encourage discussion [55]. Further, studies in the child methodology literature recommend these methods to allow CYP more time and freedom to express themselves, and to address power imbalances between CYP and adult researchers, by giving CYP more control over the topic and direction of research [12, 13, 56, 57]. Those using creative and participatory methods in the studies collected here appeared to engage their CYP population for a longer period, and although length of data collection is not necessarily an indication of quality, relatively short data collection periods might suggest that aspects important to a population may not have been discussed fully or in depth. The suggestion from the literature and this review therefore is that participatory and creative methods can be beneficial in helping CYP to engage in concept elicitation work in a more meaningful way, potentially helping to enhance the coverage and validity of included items.
However, the literature suggests that these methods are particularly relevant for engaging and keeping the attention of younger age groups [11, 55], with Arbuckle and Abetz-Webb recommending the use of creative approaches in research with 6- to 11-year olds, with traditional qualitative methods becoming more appropriate in adolescents aged 12 years and over [11]. Indeed, several studies in this review appeared to carry out successful concept elicitation work with very young children (as young as 6 years), and the increased use of such methods in this area may help with the development of further measures for younger children, which at the moment are less common than those for adolescents.
In terms of reporting quality, although there were strengths, none of the 37 papers met all criteria outlined on the COREQ checklist for qualitative research, and almost half of the papers met two, one or zero. Further, many of those meeting criteria did so in very little detail. Detail was most lacking on qualitative data analysis, sampling and the research team, with these missing details making it difficult for the reader/user to make judgements about content validity and whether the items in the measures had achieved full coverage. For example, evidence of a robust sampling strategy is crucial in ensuring that important characteristics of a population have been captured (i.e., purposive sampling) [58] and, in several of the studies retrieved in the review, there was no representation in the empirical work from specific age groups within their stated population. This is particularly important in light of guidance from the FDA and others [5, 11], which state that measures should be developed and saturation of items achieved in narrow age groupings of CYP, due to the rapid changes that take place in their developmental and cognitive abilities during childhood and into adulthood [59].
Details on the processes of qualitative data analysis and the research team are important to allow judgements around the robustness of the authors’ interpretations of collected data. Reflexivity regarding the authors’ acknowledgement of how their own personal characteristics and assumptions may have influenced findings is essential to judgements around validity [9, 60] and this review found that only a small number of papers had disclosed and discussed this information. Qualitative quality guidance states that researchers should be explicit about how final themes and concepts are developed from data and provide evidence in quotations from participants to support these [27]. This review has demonstrated that very few studies had a high level of detail on the analysis process, and under a quarter of the retrieved studies included any quotations to support the items generated, leaving measure content without a clear evidence base.
Many studies used other methods with qualitative data collection to inform measure items, such as literature reviews, expert opinion and even the expertise of the authors. Although these are potentially valuable sources of information [7], it is ambiguous in many of these papers as to how far final measure content was informed by CYP’s own opinions and experiences of what is important. An important quality indicator is transparency in the reporting of research processes and how research conclusions are generated [61] and this review has indicated that reporting of qualitative concept elicitation for CYP measures appears to be generally lacking in this respect. This mirrors findings of a systematic review of condition-specific preference-based measures (PBMs) by Brazier et al. [62], who found that measures using qualitative analysis in item development had reported their methods in very little detail, with the authors describing this as a ‘barrier’ to this aspect of measure development being better understood and becoming more scientifically rigorous (p. 26–8).
To the authors’ knowledge, this is the first review to summarise and critically analyse the qualitative methods used for concept elicitation for measures for children and young people. Existing reviews of generic paediatric measures have tended to summarise and critically analyse the items contained within the measures (e.g. [17, 18]) or review the usage of the measures in practice (e.g. [16]), with condition-specific measure reviews tending to summarise the measures available in particular disease areas. The strength of this review is that it has focused on how researchers have reported concept elicitation with CYP [5, 7], and has importantly highlighted where more transparency is needed to allow judgements around content validity. Although research teams are clearly recognising the value of having direct input from CYP into item development, the poor quality of reporting in these studies raises questions around how far the content of these measures is truly sensitive to what is important to these populations.
Despite this review critiquing the quality of reporting for concept elicitation in CYP measures, it is important to note that it is not necessarily that researchers have not followed robust research processes, but that this has not been made clear and described in a high level of detail. For example, some of the research teams also went on to perform further validation tests with CYP on the developed items, which may have strengthened content validity (i.e., using qualitative cognitive interviews with the relevant population to check their coverage). It is also important to acknowledge that these studies have followed recommendations to use qualitative methods in item generation. Given that the focus of this review has only been to retrieve studies using qualitative methods for concept elicitation, we are unable to calculate the number of studies not using qualitative research, but we know that in economics, for example, the vast majority of PBMs for child economic evaluation have not included CYP in item development [16]. The measures included here have therefore been successful in facilitating the inclusion of the ‘patient voice’ in content development, which is particularly important given that children and young people have often been excluded from research [63].
This review only searched for papers in peer-reviewed journals and it is possible that further papers may have been retrieved if the grey literature had also been searched. Further, a few more relevant papers may have been picked up if the search terms had been expanded slightly—for example, to include ‘health measures’ in the ‘focus and outcomes of developed measures’ criterion of the search. However, the authors used additional techniques such as searching in relevant systematic reviews and forward citation and reference list searching to encourage a more comprehensive and targeted search. It is unlikely that the inclusion of additional studies would have changed the overall message of this review, as the reporting quality was low or lacking in most included studies. It is possible that the authors of this review could have contacted the authors of the retrieved studies for further information on concept elicitation, but in practice this would not be helpful to the users of measures who need to make judgements around content validity using the (published) information that is readily available to them. Having said this, it is also important to note that authors are often restricted by manuscript length limits and the need to report other aspects of measure development. The development of detailed guidelines on how to undertake qualitative concept elicitation work with CYP [7], and particularly on what to prioritise when reporting measure development, may help to overcome issues around poor reporting and content validity, and therefore should be considered an important area for future research.
Conclusion
This systematic review has summarised the qualitative methods and, where relevant, the adapted data collection techniques used to develop the conceptual items in measures for children and young people. We found that very few of the retrieved studies had used creative and participatory methods for item development, despite these approaches being potentially beneficial for engaging children and generating more meaningful data for concept elicitation, particularly with younger populations. The review identified important gaps in terms of the quality and transparency of reporting for item generation, with many studies not reporting information central to establishing content validity. This review recommends that research teams report concept elicitation work with children and young people in greater detail, with the development of methodological and reporting guidelines in this area being key to facilitating this.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
This work was supported by the Wellcome Trust [205384/Z/16/Z].
Author Contributions
All authors contributed to the study conception and design. Review preparation, data extraction and interpretation were performed by SH, PMM and JC. The first draft of the manuscript was written by Samantha Husbands and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
Compliance with Ethical Standards
Funding
This work was supported by the Wellcome Trust [205384/Z/16/Z].
Conflict of interest
Samantha Husbands, Paul Mark Mitchell and Joanna Coast declare that they have no conflict of interest.
References
- 1.Kingsley C, Patel S. Patient-reported outcome measures and patient-reported experience measures. BJA Educ. 2017;17(4):137–144. [Google Scholar]
- 2.Patrick DL, 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 Health. 2011;14(8):967–977. doi: 10.1016/j.jval.2011.06.014. [DOI] [PubMed] [Google Scholar]
- 3.Grewal I, et al. Developing attributes for a generic quality of life measure for older people: Preferences or capabilities? Soc Sci Med. 2006;62(8):1891–1901. doi: 10.1016/j.socscimed.2005.08.023. [DOI] [PubMed] [Google Scholar]
- 4.Al-Janabi H, Flynn TN, Coast J. Development of a self-report measure of capability wellbeing for adults: the ICECAP-A. Qual Life Res. 2012;21(1):167–176. doi: 10.1007/s11136-011-9927-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.(FDA), U.S.D.o.H.a.H.S.F.a.D.A. Patient-reported outcome measures: use in medical product development to support labeling claims: guidance for industry. 2009. [DOI] [PMC free article] [PubMed]
- 6.Stevens K, Palfreyman S. The use of qualitative methods in developing the descriptive systems of preference-based measures of health-related quality of life for use in economic evaluation. Value Health. 2012;15(8):991–998. doi: 10.1016/j.jval.2012.08.2204. [DOI] [PubMed] [Google Scholar]
- 7.Matza LS, et al. Pediatric patient-reported outcome instruments for research to support medical product labeling: report of the ISPOR PRO good research practices for the assessment of children and adolescents task force. Value Health. 2013;16(4):461–479. doi: 10.1016/j.jval.2013.04.004. [DOI] [PubMed] [Google Scholar]
- 8.Fitzpatrick R, et al. Evaluating patient-based outcome measures for use in clinical trials. Health Technol Assess. 1998;2(14):1–74. [PubMed] [Google Scholar]
- 9.Mays N, Pope C. Qualitative research: rigour and qualitative research. BMJ. 1995;311(6997):109–112. doi: 10.1136/bmj.311.6997.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Terwee CB, et al. COSMIN methodology for evaluating the content validity of patient-reported outcome measures: a Delphi study. Qual Life Res. 2018;27(5):1159–1170. doi: 10.1007/s11136-018-1829-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Arbuckle R, Abetz-Webb L. “Not just little adults”: qualitative methods to support the development of pediatric patient-reported outcomes. Patient. 2013;6(3):143–159. doi: 10.1007/s40271-013-0022-3. [DOI] [PubMed] [Google Scholar]
- 12.Punch S. Research with children: the same or different from research with adults? Childhood. 2002;9(3):321–341. [Google Scholar]
- 13.Whale K. The use of Skype and telephone interviews in sensitive qualitative research with young people: experiences from the ROCCA continence study. Qual Methods Psychol Bull 2017;23.
- 14.Shaw C, Brady LM, Davey C. Guidelines for research with children and young people. London: N.C.s.B.N.R. Centre; 2011. [Google Scholar]
- 15.Rowen D, Rivero-Arias O, Devlin N, et al. Review of valuation methods of preference-based measures of health for economic evaluation in child and adolescent populations: where are we now and where are we going? PharmacoEconomics. 2020;38:325–340. doi: 10.1007/s40273-019-00873-7. [DOI] [PubMed] [Google Scholar]
- 16.Wolstenholme JL, et al. Preference-based measures to obtain health state utility values for use in economic evaluations with child-based populations: a review and UK-based focus group assessment of patient and parent choices. Qual Life Res. 2018;27(7):1769–1780. doi: 10.1007/s11136-018-1831-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chen G, Ratcliffe J. A review of the development and application of generic multi-attribute utility instruments for paediatric populations. Pharmacoeconomics. 2015;33(10):1013–1028. doi: 10.1007/s40273-015-0286-7. [DOI] [PubMed] [Google Scholar]
- 18.Janssens A, et al. A systematic review of generic multidimensional patient-reported outcome measures for children, part I: descriptive characteristics. Value Health. 2015;18(2):315–333. doi: 10.1016/j.jval.2014.12.006. [DOI] [PubMed] [Google Scholar]
- 19.Stevens KJ. Working with children to develop dimensions for a preference-based, generic, pediatric, health-related quality-of-life measure. Qual Health Res. 2010;20(3):340–351. doi: 10.1177/1049732309358328. [DOI] [PubMed] [Google Scholar]
- 20.Bray N, et al. Defining health-related quality of life for young wheelchair users: a qualitative health economics study. PLoS One. 2017;12(6):e0179269. doi: 10.1371/journal.pone.0179269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Oluboyede Y, Hulme C, Hill A. Development and refinement of the WAItE: a new obesity-specific quality of life measure for adolescents. Qual Life Res. 2017;26(8):2025–2039. doi: 10.1007/s11136-017-1561-1. [DOI] [PubMed] [Google Scholar]
- 22.Markham C, et al. Children with speech, language and communication needs: their perceptions of their quality of life. Int J Lang Commun Disord. 2009;44(5):748–768. doi: 10.1080/13682820802359892. [DOI] [PubMed] [Google Scholar]
- 23.Ronen GM, et al. Health-related quality of life in childhood epilepsy: the results of children’s participation in identifying the components. Dev Med Child Neurol. 1999;41(8):554–559. doi: 10.1017/s0012162299001176. [DOI] [PubMed] [Google Scholar]
- 24.Hareendran A, et al. Evaluating functional outcomes in adolescents with attention-deficit/hyperactivity disorder: development and initial testing of a self-report instrument. Health Qual Life Outcomes. 2015;13:133. doi: 10.1186/s12955-015-0302-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Centre for Reviews and Dissemination. Systematic reviews: CRD’s guidance for undertaking reviews in health care. York: CRD, University of York. 2009. http://www.york.ac.uk/media/crd/SystematicReviews.pdf.
- 26.Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–357. doi: 10.1093/intqhc/mzm042. [DOI] [PubMed] [Google Scholar]
- 27.Mays N, Pope C. Qualitative research in health care. Assessing quality in qualitative research. BMJ. 2000;320(7226):50–52. doi: 10.1136/bmj.320.7226.50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Gilchrist F, et al. Development and evaluation of CARIES-QC: a caries-specific measure of quality of life for children. BMC Oral Health. 2018;18(1):202. doi: 10.1186/s12903-018-0662-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gilchrist F, et al. The impact of dental caries on children and young people: what they have to say? Int J Paediatr Dent. 2015;25(5):327–338. doi: 10.1111/ipd.12186. [DOI] [PubMed] [Google Scholar]
- 30.Altman DG. Practical statistics for medical research. London: Chapman and Hall; 1991. [Google Scholar]
- 31.Petersen C, et al. Development and pilot-testing of a health-related quality of life chronic generic module for children and adolescents with chronic health conditions: a European perspective. Qual Life Res. 2005;14(4):1065–1077. doi: 10.1007/s11136-004-2575-z. [DOI] [PubMed] [Google Scholar]
- 32.Beusterien KM, et al. Development of the multi-attribute Adolescent Health Utility Measure (AHUM) Health Qual Life Outcomes. 2012;10:102. doi: 10.1186/1477-7525-10-102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Raphael D, et al. The quality of life profile—Adolescent version: background, description, and initial validation. J Adolesc Health. 1996;19(5):366–375. doi: 10.1016/S1054-139X(96)00080-8. [DOI] [PubMed] [Google Scholar]
- 34.Varni JW, et al. The pediatric cancer quality of life inventory (PCQL) I Instrument development, descriptive statistics, and cross-informant variance. J Behav Med. 1998;21(2):179–204. doi: 10.1023/a:1018779908502. [DOI] [PubMed] [Google Scholar]
- 35.Simeoni MC, et al. Validation of a French health-related quality of life instrument for adolescents: the VSP-A. Qual Life Res. 2000;9(4):393–403. doi: 10.1023/a:1008957104322. [DOI] [PubMed] [Google Scholar]
- 36.Graham P, Stevenson J, Flynn D. A new measure of health-related quality of life for children: preliminary findings. Psychol Health. 1997;12(5):655–665. [Google Scholar]
- 37.Ravens-Sieberer U, et al. KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoecon Outcomes Res. 2005;5(3):353–364. doi: 10.1586/14737167.5.3.353. [DOI] [PubMed] [Google Scholar]
- 38.Franciosi JP, et al. Quality of life in paediatric eosinophilic oesophagitis: what is important to patients? Child Care Health Dev. 2012;38(4):477–483. doi: 10.1111/j.1365-2214.2011.01265.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Resnick ES, et al. Development of a questionnaire to measure quality of life in adolescents with food allergy: the FAQL-teen. Ann Allergy Asthma Immunol. 2010;105(5):364–368. doi: 10.1016/j.anai.2010.09.006. [DOI] [PubMed] [Google Scholar]
- 40.McMillan CV, et al. The development of a new measure of quality of life for young people with diabetes mellitus: the ADDQoL-Teen. Health Qual Life Outcomes. 2004;2:61. doi: 10.1186/1477-7525-2-61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Khadra C, et al. Development of the adolescent cancer suffering scale. Pain Res Manag. 2015;20(4):213–219. doi: 10.1155/2015/645367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bruce AA, et al. Development and preliminary evaluation of the KIDCLOT PAC QL: a new health-related quality of life measure for pediatric long-term anticoagulation therapy. Thromb Res. 2010;126(2):e116–e121. doi: 10.1016/j.thromres.2010.05.026. [DOI] [PubMed] [Google Scholar]
- 43.Follansbee-Junger KW, et al. Development of the PedsQL epilepsy module: focus group and cognitive interviews. Epilepsy Behav. 2016;62:115–120. doi: 10.1016/j.yebeh.2016.06.011. [DOI] [PubMed] [Google Scholar]
- 44.Fiume A, et al. Development and validation of the pediatric stroke quality of life measure. Dev Med Child Neurol. 2018;60(6):587–595. doi: 10.1111/dmcn.13684. [DOI] [PubMed] [Google Scholar]
- 45.Waters E, et al. Development of a condition-specific measure of quality of life for children with cerebral palsy: empirical thematic data reported by parents and children. Child Care Health Dev. 2005;31(2):127–135. doi: 10.1111/j.1365-2214.2004.00476.x. [DOI] [PubMed] [Google Scholar]
- 46.Panepinto JA, Torres S, Varni JW. Development of the PedsQL sickle cell disease module items: qualitative methods. Qual Life Res. 2012;21(2):341–357. doi: 10.1007/s11136-011-9941-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Morris C, et al. Development of the Oxford ankle foot questionnaire: finding out how children are affected by foot and ankle problems. Child Care Health Dev. 2007;33(5):559–568. doi: 10.1111/j.1365-2214.2007.00770.x. [DOI] [PubMed] [Google Scholar]
- 48.Marino BS, et al. The development of the pediatric cardiac quality of life inventory: a quality of life measure for children and adolescents with heart disease. Qual Life Res. 2008;17(4):613–626. doi: 10.1007/s11136-008-9323-8. [DOI] [PubMed] [Google Scholar]
- 49.Gallagher M, et al. The nominal group technique: a research tool for general practice? Fam Pract. 1993;10(1):76–81. doi: 10.1093/fampra/10.1.76. [DOI] [PubMed] [Google Scholar]
- 50.Davis E, et al. Quality of life of adolescents with cerebral palsy: perspectives of adolescents and parents. Dev Med Child Neurol. 2008;51(3):193–199. doi: 10.1111/j.1469-8749.2008.03194.x. [DOI] [PubMed] [Google Scholar]
- 51.Hilliard MF, et al. Assessing health-related quality of life in children and adolescents with diabetes: development and psychometrics of the type 1 diabetes and life (T1DAL) measures. J Pediatr Psychol. 2020;45(3):328–339. doi: 10.1093/jpepsy/jsz083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hoffman MF, Cejas I, Quittner AL. Health-related quality of life instruments for children with cochlear implants: development of child and parent-proxy measures. Ear Hear. 2019;40(3):592–604. doi: 10.1097/AUD.0000000000000631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Alderson P, Morrow V. The ethics of research with children and young people: a practical handbook. 2. London: SAGE; 2011. [Google Scholar]
- 54.Harcourt D, Perry B, Waller T, editors. Researching young children’s perspectives: debating the ethics and dilemmas of educational research with children. New York: Routledge; 2011. [Google Scholar]
- 55.Patel N, et al. Development of the Malocclusion Impact Questionnaire (MIQ) to measure the oral health-related quality of life of young people with malocclusion: part 1—qualitative inquiry. J Orthod. 2016;43(1):7–13. doi: 10.1080/14653125.2015.1114712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Barker J, Weller S. “Is it fun?” Developing children centred research methods. Int J Sociol Soc Policy. 2003;23:33–58. [Google Scholar]
- 57.Angell R, Angell C. More than Just “Snap, Crackle, and Pop”: “Draw, Write, and Tell”: an innovative research method with young children. J Advert Res. 2013;53(4):377. [Google Scholar]
- 58.Collingridge DS, Gantt EE. The quality of qualitative research. Am J Med Qual. 2008;23(5):389–395. doi: 10.1177/1062860608320646. [DOI] [PubMed] [Google Scholar]
- 59.Griebsch I, Coast J, Brown J. Quality-adjusted life-years lack quality in pediatric care: a critical review of published cost-utility studies in child health. Pediatrics. 2005;115(5):e600–e614. doi: 10.1542/peds.2004-2127. [DOI] [PubMed] [Google Scholar]
- 60.Kitto SC, Chesters J, Grbich C. Quality in qualitative research. Med J Aust. 2008;188(4):243–246. doi: 10.5694/j.1326-5377.2008.tb01595.x. [DOI] [PubMed] [Google Scholar]
- 61.Meyrick J. What is good qualitative research? A first step towards a comprehensive approach to judging rigour/quality. J Health Psychol. 2006;11(5):799–808. doi: 10.1177/1359105306066643. [DOI] [PubMed] [Google Scholar]
- 62.Brazier JE, et al. Developing and testing methods for deriving preference-based measures of health from condition-specific measures (and other patient-based measures of outcome) Health Technol Assess. 2012;16(32):1–114. doi: 10.3310/hta16320. [DOI] [PubMed] [Google Scholar]
- 63.Kirk S. Methodological and ethical issues in conducting qualitative research with children and young people: a literature review. Int J Nurs Stud. 2007;44(7):1250–1260. doi: 10.1016/j.ijnurstu.2006.08.015. [DOI] [PubMed] [Google Scholar]
- 64.Moher D, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLOS Med. 2009;6(7):e1000097. doi: 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Angeles-Han ST, et al. Development of a vision-related quality of life instrument for children ages 8-18 years for use in juvenile idiopathic arthritis-associated uveitis. Arthritis Care Res (Hoboken) 2011;63(9):1254–1261. doi: 10.1002/acr.20524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Basra MKA, et al. Conceptualization, development and validation of T-QoL((c)) (Teenagers’ Quality of Life): a patient-focused measure to assess quality of life of adolescents with skin diseases. Br J Dermatol. 2018;178(1):161–175. doi: 10.1111/bjd.15853. [DOI] [PubMed] [Google Scholar]
- 67.Das A, et al. Formation and psychometric evaluation of a health-related quality of life instrument for children living with HIV in India. J Health Psychol. 2018;23(4):577–587. doi: 10.1177/1359105316671022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Flokstra-de Blok BM, et al. Development and validation of the self-administered Food Allergy Quality of Life Questionnaire for adolescents. J Allergy Clin Immunol. 2008;122(1):139–144. doi: 10.1016/j.jaci.2008.05.008. [DOI] [PubMed] [Google Scholar]
- 69.Geister TL, et al. Qualitative development of the ‘Questionnaire on Pain caused by Spasticity (QPS)’, a pediatric patient-reported outcome for spasticity-related pain in cerebral palsy. Qual Life Res. 2014;23(3):887–896. doi: 10.1007/s11136-013-0526-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Hartmaier SL, et al. Development of a brief 24-hour adolescent migraine functioning questionnaire. Headache. 2001;41(2):150–156. doi: 10.1046/j.1526-4610.2001.111006150.x. [DOI] [PubMed] [Google Scholar]
- 71.Rutishauser C, et al. Development and validation of the Adolescent Asthma Quality of Life Questionnaire (AAQOL) Eur Respir J. 2001;17(1):52–58. doi: 10.1183/09031936.01.17100520. [DOI] [PubMed] [Google Scholar]
- 72.Tadic V, et al. Development of the functional vision questionnaire for children and young people with visual impairment: the FVQ_CYP. Ophthalmology. 2013;120(12):2725–2732. doi: 10.1016/j.ophtha.2013.07.055. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.