UK valuation of EQ-5D-5L, a generic measure of health-related quality of life: a study protocol

Donna Rowen*, Clara Mukuria, Nathan Bray, Jill Carlton, Sophie Cooper, Louise Longworth, David Meads, Ciaran O'Neill, Yaling Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
57 Downloads (Pure)

Abstract

Objectives
A high-quality and widely accepted UK EQ-5D-5L value set is urgently required to enable the latest version of EQ-5D scored using recent UK public preferences to inform policy including health technology assessments submitted to the National Institute for Health and Care Excellence. This article outlines the study protocol for the generation of a new EQ-5D-5L UK value set.

Methods
Twelve hundred interviews will be undertaken using the composite time trade-off elicitation technique for 102 health states (86 from the international EQ-5D-5L valuation protocol, plus 16 with best predictive performance in an extended design used in the Native American EQ-5D-5L valuation). The sample will be UK adults (age ≥18 years) proportionately representative across England, Wales, Scotland, and Northern Ireland, representative for age, sex, ethnicity, and socioeconomic group, with inclusion of participants with/without health problems. Participants will choose to be interviewed via videoconference (by Zoom) or in-person in a central venue. Data quality will be rigorously assessed.

Results
The value set will be generated using tobit random effects and heteroscedastic tobit models (with censoring at −1) using all data, excluding time trade-off values highlighted by participants as ones they would reconsider and data from interviewers failing protocol compliance. Quality and acceptance will be achieved by public involvement, regular Steering Group meetings, independent assessment of data quality at 4 time points, and final endorsement of data and analyses.

Conclusion
This study will produce a UK value set for the EQ-5D-5L for use in prospective and retrospective data sets containing EQ-5D-5L data.

Original languageEnglish
Pages (from-to)1625-1635
Number of pages11
JournalValue in Health
Volume26
Issue number11
Early online date27 Oct 2023
DOIs
Publication statusPublished - Nov 2023

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