Integrating Qualitative and Quantitative Data in the Development of Outcome Measures

The Case of the Recovering Quality of Life (ReQoL) Measures in Mental Health Populations

Datos Bibliográficos

ID15467826
AutoresAnju Keetharuth (0000-0001-8889-6806, University of Sheffield, autor de correspondencia), Elizabeth Taylor Buck (0000-0003-2596-2655, University of Sheffield), C Acquadro (0000-0003-0358-7989, Mapi Research Trust), Katrin Conway (Mapi Research Trust), Janice Connell (0000-0003-4609-3911, University of Sheffield), Michael Barkham (0000-0003-1687-6376, University of Sheffield), Jesse Carlton (0000-0002-9373-7663, University of Sheffield), Thomas C Ricketts (0000-0002-5262-4849, University of Sheffield), Rosemary Barber (0000-0003-1981-7830, University of Sheffield), John Brazier (0000-0001-8645-4780, University of Sheffield)
Año2018
Volumen15
Número7
Páginas1342-1342
Fecha de publicación2018-06-26
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15071342
PMID29949892
OpenAlexW2810463576
IdiomaEN
Citas recibidas4
Referencias citadas9

While it is important to treat symptoms, there is growing recognition that in order to help people with mental health problems lead meaningful and fulfilling lives, it is crucial to capture the impact of their conditions on wider aspects of their social lives. We constructed two versions of the Recovering Quality of Life (ReQoL) measure—ReQoL-10 and ReQoL-20—for use in routine settings and clinical trials from a larger pool of items by combining qualitative and quantitative evidence covering six domains. Qualitative evidence was gathered through interviews and focus groups with over 76 service users, clinicians, and a translatability assessment. Psychometric evidence generated from data from over 6200 service users was obtained from confirmatory factor models and item response theory analyses. In this paper we present an approach based on a traffic light pictorial format that was developed to present qualitative and quantitative evidence to a group of service users, clinicians, and researchers to help to make the final selection. This work provides a pragmatic yet rigorous approach to combining qualitative and quantitative evidence to ensure that ReQoL is psychometrically robust and has high relevance to service users and clinicians. This approach can be extended to the development of patient reported outcome measures in general

Confirmatory factor analysis · Focus group · Mental health · Outcome (game theory · Psychiatry · Psychometrics · Psychotherapist · Qualitative property · Qualitative research · Quality (philosophy · Quality of life (healthcare · Relevance (law · Service (business · Applied Psychology · Clinical Psychology · Computer Science · Health disparities and outcomes · Mental Health and Patient Involvement · Mental Health Treatment and Access · Psychology