Evidence map›Paper›PMID 33733920›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2021

Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ?

David J Mott, Koonal K Shah, Juan Manuel Ramos-Goñi, Nancy J Devlin, Oliver Rivero-Arias

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. Article
  8. Value set of EQ-5D-Y-3L for Hong Kong.Health and quality of life outcomes · 2026
    Article
  9. Review
  10. Nothing about us, without us? A reflection on and call for involving children in the process of valuing child health.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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  16. Understanding Canadian stakeholders' views on measuring and valuing health for children and adolescents: a qualitative study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  17. Article
  18. Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
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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

5 authors.

David J MottOffice of Health Economics, London, UK.ORCID 0000-0001-5959-8447
Koonal K ShahOffice of Health Economics, London, UK.ORCID 0000-0002-4927-7858
Juan Manuel Ramos-GoñiMaths in Health, Rotterdam, The Netherlands.
Nancy J DevlinOffice of Health Economics, London, UK.
Oliver Rivero-AriasNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-2233-6544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn important question in the valuation of children's health is whether the preferences of younger individuals should be captured within value sets for measures that are aimed at them. This depends on whether younger individuals can complete valuation exercises and whether their preferences differ from those of adults. This study compared the preferences of adults and adolescents for EQ-5D-Y-3L health states using latent scale values elicited from a discrete choice experiment (DCE).

methodsAn online DCE survey, comprising 15 pairwise choices, was provided to samples of UK adults and adolescents (aged 11-17 y). Adults considered the health of a 10-year-old child, whereas adolescents considered their own health. Mixed logit models were estimated, and comparisons were made using relative attribute importance (RAI) scores and a pooled model.

resultsIn total, 1000 adults and 1005 adolescents completed the survey. For both samples, level 3 in pain/discomfort was most important, and level 2 in self-care the least important, based on the relative magnitudes of coefficients. The RAI scores (normalized on self-care) indicated that adolescents gave less weight relative to adults to usual activities (1.18 v. 1.51; LIMITATIONS: The perspective of the DCE task differed between the 2 samples, and no data were collected to anchor the DCE data to generate value sets.

conclusionsAdolescents could complete the DCE, and their preferences differed from those of adults taking a child perspective. It is important to consider whether their preferences should be incorporated into value sets.

Indexed as

Health StatusQuality of LifeAdolescentAdultChildChild HealthHumansPainSurveys and Questionnairesdiscrete choice experimentEQ-5D-YUKvaluation exerciseyouth health state valuation

Identifiers

PMID33733920
PMCPMC8191173

What OpenQuestion holds

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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 OpenQuestion graph.