Evidence map›Paper›PMID 41160306›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026

Do EQ-5D-Y-3L value sets have common properties, and how do they compare to EQ-5D-5L value sets?

Bram Roudijk, Tianxin Pan, Jan Abel Olsen, Nancy Devlin

Abstract readComparative Study
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bram RoudijkEuroQol Research Foundation, Marten Meesweg 107, Rotterdam, 3068 AV, The Netherlands. Roudijk@euroqol.org.ORCID http://orcid.org/0000-0001-5000-0875
Tianxin PanCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Jan Abel OlsenDepartment of Community Medicine, UiT - The Arctic University of Norway, Tromsø, Norway.
Nancy DevlinCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.

Funding

EuroQol Research Foundation EQ-1497-RA
6 · The paper itself

Abstract

backgroundSince the introduction of the EQ-5D-Y-3L valuation protocol, a considerable number of EQ-5D-Y-3L value sets have been published. This provides an opportunity to explore the differences and similarities between EQ-5D-Y-3L value sets across countries, and their similarity to their EQ-5D-5L counterparts.

methodsEQ-5D-Y-3L value set publications for 11 countries identified key methodological, sampling and value set characteristics. Similarity between value sets was assessed using kernel density plots and other key characteristics. Preference patterns between groups of value sets were explored. EQ-5D-Y-3L value set properties were compared with those of EQ-5D-5L value sets from the same country.

resultsAll EQ-5D-Y-3L valuation studies used the same DCE design. Six studies used expanded health state designs in the composite Time Trade Off. Analytical strategies differed between studies. Values for state 33333 ranged from - 0.691 (Slovenia) to 0.289 (Japan); the number of negative values ranged from 0 to 21%. Pain/discomfort level 3 received the largest weight in all EQ-5D-Y-3L studies, while self-care level 3 received the smallest weight in 8 out of 11 studies. Similarities were found between European value sets, and between Asian value sets. Value sets for Australia and Brazil had similar scale lengths as the Asian value sets, but differed in other ways. DISCUSSION: Although substantial differences were observed between EQ-5D-Y-3L value sets (e.g. regarding the length of the value scale), striking similarities between them existed (e.g. pain/discomfort consistently received the largest weight). Comparing EQ-5D-Y-3L value sets to EQ-5D-5L values generally suggests less willingness to trade life years for life quality for children.

Indexed as

Health StatusQuality of LifeHumansQuality-Adjusted Life YearsSurveys and QuestionnairesComparisonEQ-5D-5LEQ-5D-Y-3LPaediatric HRQoLPaediatric QALYsTariffUtilitiesValuationValue sets

Identifiers

PMID41160306
PMCPMC13190540

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.