Evidence map›Paper›PMID 41387865›Full record

ArticleHealth and quality of life outcomes2025

The Recovering Quality of Life - Utility Index (ReQoL-UI): the Hong Kong valuation study.

Richard Huan Xu, Chenxi Yang, Thao Thai, Eliza Laiyi Wong, Shamay S M Ng, Richard Norman

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Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Richard Huan XuDepartment of Rehabilitation Sciences, Faculty of Health and Social Sciences, Hong Kong Polytechnic University, Hong Kong SAR, China. richard.xu@polyu.edu.hk.
Chenxi YangDepartment of Rehabilitation Sciences, Faculty of Health and Social Sciences, Hong Kong Polytechnic University, Hong Kong SAR, China.
Thao ThaiSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Eliza Laiyi WongJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
Shamay S M NgDepartment of Rehabilitation Sciences, Faculty of Health and Social Sciences, Hong Kong Polytechnic University, Hong Kong SAR, China.
Richard NormanSchool of Population Health, Curtin University, Perth, Australia.

Funding

Hong Kong Health and Medical Fund 20211211
6 · The paper itself

Abstract

objectiveThis study aims to establish a Hong Kong (HK)-specific value set for the ReQoL-UI, an instrument designed to evaluate health-related quality of life with a focus on mental health, using the discrete choice experiment-time trade-off approach to facilitate cost-utility analyses of mental health interventions.

methodA web-based survey was conducted from April to August 2024, recruiting 1,008 HK residents aged 20–69 years. Quota sampling was used to ensure age and sex representativeness based on 2021 HK census data. The ReQoL-UI’s seven dimensions with a duration item were evaluated across 180 choice sets divided into 15 blocks, with participants completing 12 tasks each. Utility weights were estimated using a conditional logit and mixed logit models, anchored to a 1 (full health) to 0 (dead) scale, and refined for consistency and statistical fit. Preference heterogeneity was tested using a latent class model.

resultsThe HK value set yielded a utility score of -0.870 for the worst health state (i.e., all dimensions at level 5), with physical health dimension contributing the largest decrement (-0.675), followed by dimensions well-being (-0.234) and activity (-0.218). The coefficient for the second level of the “activity” and “well-being” dimensions showed no statistically different from the reference level. For the dimensions of “choice, control, and autonomy” and “hope,” the coefficients for the second and third levels were identical. Sensitivity and preference heterogeneity analyses confirmed the overall stability of the value set.

conclusionThis study presents the first Asian value set for the ReQoL-UI, enabling quality-adjusted life years calculations to support cost-utility analyses of mental health programs and interventions in HK.

Indexed as

Health StatusMental HealthQuality of LifeAdultAgedCost-Benefit AnalysisFemaleHong KongHumansMaleMiddle AgedPsychometricsQuality-Adjusted Life YearsSurveys and QuestionnairesYoung AdultChineseHong KongMental healthPreference weightsQALYsValue set

Identifiers

PMID41387865
PMCPMC12817455

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.