Adapting the EQ-5D-3L for adults with mild to moderate learning disabilities.


Journal

Health and quality of life outcomes
ISSN: 1477-7525
Titre abrégé: Health Qual Life Outcomes
Pays: England
ID NLM: 101153626

Informations de publication

Date de publication:
29 Apr 2024
Historique:
received: 24 09 2023
accepted: 22 04 2024
medline: 30 4 2024
pubmed: 30 4 2024
entrez: 29 4 2024
Statut: epublish

Résumé

Approximately 1.5 million adults in the UK have a learning disability. The difference between age at death for this group and the general population is 26 years for females and 22 years for males. The NHS Long Term Plan (January 2019) recognises learning disabilities as a clinical priority area. People with a learning disability are often excluded from research by design or lack of reasonable adjustments, and self-reported health status/health-related quality of life questionnaires such as the EQ-5D are often not appropriate for this population. Here, we systematically examine the EQ-5D-3L (its wording, content, and format) using qualitative methods to inform the adaption of the measure for use with adults with mild to moderate learning disabilities. Think-aloud interviews with carers/advocates of learning-disabled adults were undertaken to explore the difficulties with completing the EQ-5D-3L. Alternative wording, language, structure, and images were developed using focus groups, stakeholder reference groups, and an expert panel. Data analysis followed a framework method. The dimensions and levels within the EQ-5D-3L were deemed appropriate for adults with mild to moderate learning disabilities. Consensus on wording, structure, and images was reached through an iterative process, and an adapted version of the EQ-5D-3L was finalised. The EQ-5D-3L adapted for adults with mild to moderate intellectual/learning disabilities can facilitate measurement of self-reported health status. Research is underway to assess the potential use of the adaptation for economic evaluation.

Sections du résumé

BACKGROUND BACKGROUND
Approximately 1.5 million adults in the UK have a learning disability. The difference between age at death for this group and the general population is 26 years for females and 22 years for males. The NHS Long Term Plan (January 2019) recognises learning disabilities as a clinical priority area. People with a learning disability are often excluded from research by design or lack of reasonable adjustments, and self-reported health status/health-related quality of life questionnaires such as the EQ-5D are often not appropriate for this population. Here, we systematically examine the EQ-5D-3L (its wording, content, and format) using qualitative methods to inform the adaption of the measure for use with adults with mild to moderate learning disabilities.
METHODS METHODS
Think-aloud interviews with carers/advocates of learning-disabled adults were undertaken to explore the difficulties with completing the EQ-5D-3L. Alternative wording, language, structure, and images were developed using focus groups, stakeholder reference groups, and an expert panel. Data analysis followed a framework method.
RESULTS RESULTS
The dimensions and levels within the EQ-5D-3L were deemed appropriate for adults with mild to moderate learning disabilities. Consensus on wording, structure, and images was reached through an iterative process, and an adapted version of the EQ-5D-3L was finalised.
CONCLUSION CONCLUSIONS
The EQ-5D-3L adapted for adults with mild to moderate intellectual/learning disabilities can facilitate measurement of self-reported health status. Research is underway to assess the potential use of the adaptation for economic evaluation.

Identifiants

pubmed: 38685039
doi: 10.1186/s12955-024-02254-x
pii: 10.1186/s12955-024-02254-x
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

37

Subventions

Organisme : National Institute for Health and Care Research
ID : DRF-2017-10-159

Informations de copyright

© 2024. The Author(s).

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Auteurs

John L O'Dwyer (JL)

Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Worsley Building, Leeds, LS2 9NL, UK. j.odwyer@leeds.ac.uk.

Louise D Bryant (LD)

Division of Psychological & Social Medicine, Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Worsley Building, Leeds, LS2 9JT, UK.

Claire Hulme (C)

Department of Health & Community Sciences, University of Exeter Medical School, South Cloisters, St Luke's Campus, Exeter, EX1 2LU, UK.

Paul Kind (P)

Department of Applied Health Research, University College London, Gower Street, London, WC1E 6BT, UK.

David M Meads (DM)

Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Worsley Building, Leeds, LS2 9NL, UK.

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Classifications MeSH