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New methods for modelling EQ-5D-5L value sets: An application to English data.

Yan Feng1, Nancy J Devlin1,2, Koonal K Shah1

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PubMed
Summary

This study developed innovative modeling methods for England's EQ-5D-5L value set, using time trade-off (TTO) and discrete choice experiment (DCE) data. The findings provide a robust approach for health economics valuation studies.

Keywords:
EQ-5D-5Leconometric modellinghealth utilitieshealth-related quality of lifevalue set

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Area of Science:

  • Health Economics
  • Psychometrics
  • Econometrics

Background:

  • Value sets for the EQ-5D-5L are essential for calculating quality-adjusted life years (QALYs).
  • An international protocol guided the collection of valuation data for England.
  • This study focuses on the novel modeling techniques used to derive these values.

Purpose of the Study:

  • To report innovative methods for modeling EQ-5D-5L valuation data from England.
  • To generate a comprehensive EQ-5D-5L value set for England.
  • To present approaches suitable for observed data characteristics and respondent heterogeneity.

Main Methods:

  • Utilized data from 996 English general public members completing time trade-off (TTO) and discrete choice experiment (DCE) tasks.
  • Estimated models using DCE data, TTO data, and combined TTO/DCE data, considering censored TTO data.
  • Employed Bayesian methods for econometric analysis, accounting for heteroskedasticity and preference heterogeneity, with model selection via the deviance information criterion (DIC).

Main Results:

  • Models incorporating all dimensions and levels performed best across DCE-only, TTO-only, and combined datasets, as indicated by DIC.
  • Accounting for heteroskedasticity and censoring significantly impacted parameter estimation.
  • The multinomial model, which considered heterogeneity, reported the lowest DIC, suggesting improved fit.

Conclusions:

  • The study presents effective modeling approaches for EQ-5D-5L valuation data, accommodating data characteristics and respondent heterogeneity.
  • The developed methods are potentially applicable to other international value set studies.
  • This research contributes a robust EQ-5D-5L value set for England, crucial for health economic evaluations.