MDOI Convergence Chronicles 110.0574/CON.2026.00548
110.0574/CON.2026.00548
Article

An Acquired Taste: Latent Class Analysis to Compare Adolescent and Adult Preferences for EQ-5D-Y-3L Health States

Jonathan L. Nazari, PharmD, Juan M. Ramos-Goñi, PhD, Ning Yan Gu, PhD, A. Simon Pickard, PhD 2025 Convergence Chronicles

Abstract

Objectives US stakeholders advised including adolescents in the valuation study for the EQ-5D-Y-3L, a step toward greater acknowledgment of children in informing societal values. This study aimed to assess the relative contribution of adolescent and adult preferences to a model when combined. Methods Discrete choice experiment data were collected from an online sample of 1529 adults and 714 adolescents (ages 11-17). Each respondent completed 15 discrete choice experiment tasks, which were analyzed using latent class models representing varying number of preference classes. Within the best-fitting model, the contribution of each class was determined by the scale-adjusted class share (SACS), combining the class’s proportion of respondents (class share) and the magnitude of coefficients (within-class scale). We estimated the contribution of adolescent and adult respondents to SACS for each class, with lower SACS representing less contribution to the combined model. Results The best-fitting model described 6 classes. Adults had higher contribution to all except 1 class, accounting for 78.7% of the total contribution. After adjusting for the unequal sample size of adolescent and adult respondents, adults contributed approximately 65.0%, and adolescents contributed 35.0% of the weights toward a combined model. Conclusions Adolescents showed diminished, disproportionate representation in a combined model, due in part to more indifferent, less informative preferences for EQ-5D-Y-3L health states compared with adults. Latent class analysis showcases one approach to estimate and weight contributions from intentionally sampled subgroups in a combined model.

Identifier Metadata

Identifier 110.0574/CON.2026.00548
Canonical mdoi:110.0574/CON.2026.00548
Resolver URL https://mdoi.org/110.0574/CON.2026.00548
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Jonathan L. Nazari, PharmD, Juan M. Ramos-Goñi, PhD, Ning Yan Gu, PhD, A. Simon Pickard, PhD
Year 2025
Depositor Convergence Chronicles Organisation
Prefix 110.0574
Registered July 9, 2026
Updated July 9, 2026
Status Active
Visibility Public

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