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

Med Decis Making

National Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Published: July 2021

Background: An 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).

Methods: An 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.

Results: In 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; < 0.05), pain/discomfort (1.77 v. 3.12; < 0.01), and anxiety/depression (1.64 vs. 2.65; < 0.01). The pooled model indicated evidence of differences between the two samples in both levels in pain/discomfort and anxiety/depression.

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.

Conclusions: Adolescents 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191173PMC
http://dx.doi.org/10.1177/0272989X21999607DOI Listing

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