Literature DB >> 36255560

In a Child's Shoes: Composite Time Trade-Off Valuations for EQ-5D-Y-3L with Different Proxy Perspectives.

Stefan A Lipman1, Brigitte A B Essers2,3, Aureliano P Finch4, Ayesha Sajjad5, Peep F M Stalmeier6, Bram Roudijk4.   

Abstract

BACKGROUND AND OBJECTIVES: EQ-5D-Y-3L health states are commonly valued by asking adults to complete stated preference tasks, 'given their views about a 10-year-old child' (hereafter referred to as proxy 1). The use of this perspective has been a source of debate. In this paper, we investigated an alternative proxy perspective: i.e. adults considered what they think a 10-year old-child would decide for itself (hereafter, proxy 2 (substitute)]. Our main objective was to explore how the outcomes, dispersion and response patterns of a composite time trade-off valuation differ between proxy 1 and proxy 2.
METHODS: A team of four trained interviewers completed 402 composite time trade-off interviews following the EQ-5D-Y-3L protocol. Respondents were randomly allocated to value health states in either the proxy 1 or proxy 2 (substitute) perspective. Each respondent valued ten health states with the perspective they were assigned to, as well as one health state with the alternative perspective (33333).
RESULTS: The use of different proxy perspectives yielded differences in EQ-5D-Y-3L valuation. For states in which children had considerable pain and were very worried, sad or unhappy, respondents' valuations were lower in proxy 1 than in proxy 2 (substitute) perspectives, by about 0.2. Within-subject variation across health states was lower for proxy 2 (substitute) than proxy 1 perspectives. Analyses of response patterns suggest that data for proxy 2 (substitute) perspectives were less clustered.
CONCLUSIONS: There are systematic differences between composite time trade-off responses given by adults deciding for children and adults considering what children would want for themselves. In addition to warranting further qualitative exploration, such differences contribute to the ongoing normative discussion surrounding the source and perspective used for valuation of child and adolescent health.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36255560      PMCID: PMC9579618          DOI: 10.1007/s40273-022-01202-1

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.558


  43 in total

Review 1.  Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D.

Authors:  Stephen J Walters; John E Brazier
Journal:  Qual Life Res       Date:  2005-08       Impact factor: 4.147

2.  Re-Thinking 'The Different Perspectives That can be Used When Eliciting Preferences in Health'.

Authors:  Aki Tsuchiya; Verity Watson
Journal:  Health Econ       Date:  2017-03-21       Impact factor: 3.046

3.  Valuation of EuroQol Five-Dimensional Questionnaire, Youth Version (EQ-5D-Y) and EuroQol Five-Dimensional Questionnaire, Three-Level Version (EQ-5D-3L) Health States: The Impact of Wording and Perspective.

Authors:  Simone Kreimeier; Mark Oppe; Juan M Ramos-Goñi; Amanda Cole; Nancy Devlin; Michael Herdman; Brendan Mulhern; Koonal K Shah; Elly Stolk; Oliver Rivero-Arias; Wolfgang Greiner
Journal:  Value Health       Date:  2018-08-08       Impact factor: 5.725

Review 4.  Overview, Update, and Lessons Learned From the International EQ-5D-5L Valuation Work: Version 2 of the EQ-5D-5L Valuation Protocol.

Authors:  Elly Stolk; Kristina Ludwig; Kim Rand; Ben van Hout; Juan Manuel Ramos-Goñi
Journal:  Value Health       Date:  2019-01-02       Impact factor: 5.725

5.  Valuing Child Health Utility 9D Health States with Young Adults: Insights from a Time Trade Off Study.

Authors:  Julie Ratcliffe; Gang Chen; Katherine Stevens; Sandra Bradley; Leah Couzner; John Brazier; Michael Sawyer; Rachel Roberts; Elisabeth Huynh; Terry Flynn
Journal:  Appl Health Econ Health Policy       Date:  2015-10       Impact factor: 2.561

6.  Proxy reporting of quality of life using the EQ-5D.

Authors:  Hani Tamim; Jane McCusker; Nandini Dendukuri
Journal:  Med Care       Date:  2002-12       Impact factor: 2.983

7.  Handling Data Quality Issues to Estimate the Spanish EQ-5D-5L Value Set Using a Hybrid Interval Regression Approach.

Authors:  Juan M Ramos-Goñi; Benjamin M Craig; Mark Oppe; Yolanda Ramallo-Fariña; Jose Luis Pinto-Prades; Nan Luo; Oliver Rivero-Arias
Journal:  Value Health       Date:  2017-12-02       Impact factor: 5.725

8.  Development of the EQ-5D-Y: a child-friendly version of the EQ-5D.

Authors:  Nora Wille; Xavier Badia; Gouke Bonsel; Kristina Burström; Gulia Cavrini; Nancy Devlin; Ann-Charlotte Egmar; Wolfgang Greiner; Narcis Gusi; Michael Herdman; Jennifer Jelsma; Paul Kind; Luciana Scalone; Ulrike Ravens-Sieberer
Journal:  Qual Life Res       Date:  2010-04-20       Impact factor: 4.147

9.  Valuation Survey of EQ-5D-Y Based on the International Common Protocol: Development of a Value Set in Japan.

Authors:  Takeru Shiroiwa; Shunya Ikeda; Shinichi Noto; Takashi Fukuda; Elly Stolk
Journal:  Med Decis Making       Date:  2021-03-23       Impact factor: 2.583

10.  EQ-5D-Y Value Set for Slovenia.

Authors:  Valentina Prevolnik Rupel; Marko Ogorevc
Journal:  Pharmacoeconomics       Date:  2021-02-10       Impact factor: 4.981

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