Evidence map›Paper›PMID 41872908›Full record

ArticleHealth and quality of life outcomes2026

Value set of EQ-5D-Y-3L for Hong Kong.

Eliza Lai-Yi Wong, Kailu Wang, Amy Yuen-Kwan Wong, Annie Wai-Ling Cheung, Carlos King Ho Wong, Nan Luo, Oliver Rivero-Arias, Eng-Kiong Yeoh

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2026. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Eliza Lai-Yi Wong *JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China. lywong@cuhk.edu.hk.
Kailu Wang *JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Amy Yuen-Kwan WongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Annie Wai-Ling CheungJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Carlos King Ho WongDepartment of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, The London School of Hygiene and Tropical Medicine, London, UK.
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Oliver Rivero-AriasNational Perinatal Epidemiology Unit, Medical Sciences Division, University of Oxford, Oxford, UK.
Eng-Kiong YeohJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe EQ-5D-Y instrument is currently used to assess health-related quality of life of health states experienced by young populations. However, a country-specific EQ-5D-Y value set for Hong Kong (HK) is not yet available. The study aimed to develop an HK-specific value set for the EQ-5D-Y, following the valuation proposal recommended by the EuroQol Group.

methodsThe study included a Discrete Choice Experiment (DCE) exercise to estimate the relative importance of each level within the five dimensions of the EQ-5D-Y. A composite Time-Trade Off (C-TTO) was also conducted to anchor the latent scale derived from the DCE to the quality-adjusted life years (QALY) 0–1 scale. Both tasks were administered using the EQ-PVT platform. Responses were collected from adults in the general population, who completed the elicitation tasks from a child’s perspective.

resultsA total of 1,001 adult participants responded for the Discrete Choice Experiment (DCE), while 205 adults completed the Composite Time Trade-Off (C-TTO) tasks. The sample was representative of the general Chinese population in HK in terms of age, sex, and geographical distribution. Among the five EQ-5D-Y dimensions, the most influential in determining health state preferences was pain/discomfort, followed by feeling worried, sad, or unhappy; performing usual activities; mobility; and self-care.

conclusionThis study presents an EQ-5D-Y-3 L value set for the HK Chinese young population, following the international valuation protocol of this instrument. This value set enables future use of the EQ-5D-Y-3 L for measuring health-related quality of life and conducting economic evaluation for children and adolescents.

Indexed as

Health StatusQuality of LifeAdolescentAdultAgedChoice BehaviorFemaleHong KongHumansMaleMiddle AgedPsychometricsQuality-Adjusted Life YearsSurveys and QuestionnairesYoung AdultComposite Time Trade-Off (C-TTO)Discrete Choice Experiment (DCE)Economic evaluationsEQ-5D-Y value setpreference weights

Identifiers

PMID41872908
PMCPMC13130612

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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.