Evidence map›Paper›PMID 25894060›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015

Can adult weights be used to value child health states? Testing the influence of perspective in valuing EQ-5D-Y.

Paul Kind, Kristina Klose, Narcis Gusi, Pedro R Olivares, Wolfgang Greiner

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Child- versus adult-perspective composite time trade-off valuations for the EQ-5D-Y-3L: evidence from the Hungarian valuation study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  9. Loss aversion in EQ-5D-Y-3L: does it explain differences in willingness to trade-off life years in adults and children?The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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  13. Comparing heuristic valuation processes between health state valuation from child and adult perspectives.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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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
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  18. Time and lexicographic preferences in the valuation of EQ-5D-Y with time trade-off methodology.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
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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.

Paul KindAcademic Unit for Health Economics, Institute for Health Sciences, University of Leed, Leeds, UK. p.kind@leeds.ac.uk.
Kristina KloseDepartment of Health Economics and Health Care Management, Bielefeld University, Bielefeld, Germany.
Narcis GusiExercise, Quality of Life and Health Economics, Faculty of Sport Sciences, Universidad de Extremadura, Cáceres, Spain.
Pedro R OlivaresExercise, Quality of Life and Health Economics, Faculty of Sport Sciences, Universidad de Extremadura, Cáceres, Spain.
Wolfgang GreinerDepartment of Health Economics and Health Care Management, Bielefeld University, Bielefeld, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo test whether or not adults assign the same values to hypothetical health states that describe health in adults as when those same descriptions refer to the health of a child.

methodsA two-part self-completion questionnaire was designed in which respondents were asked firstly to rate a fixed set of EQ-5D-Y health states on a 0-100 visual analogue scale as if they themselves were in these states. Two versions of the questionnaire were produced each with a different second part. One version instructed respondents to value the same states but to imagine them describing another adult. The second version required respondents to value these states as if they applied to a 10-year-old child. Questionnaires were distributed to adults recruited in three countries (Germany, Spain and England) using convenience sampling methods.

resultsA total of 1085 questionnaires were completed. Despite some significant differences in the characteristics of the achieved samples in the three countries involved, the rank order of health states was largely consistent across each adult/child reference perspective. In all countries, the mean values were lower when health states described children rather than adults. Significant differences were found for 16/24 states when values for those states applied to adult respondent themselves were compared with the values for those states applied to a 10-year-old child. A near-uniform pattern was found across all three countries in which health state values for children were found to be lower than for adults.

conclusionsValues for health states when ascribed to adults are higher than when those same states are associated with children. Were EQ-5D-3L values for adults applied to EQ-5D-Y health states, then this would effectively lead to an misrepresentation of the value assigned to a health status in children.

Indexed as

Health BehaviorAdultChild HealthFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesChildrenEQ-5DEQ-5D-YValuation of health

Identifiers

PMID25894060
PMCPMC4564451

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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.