On the Optimization of Bayesian D-Efficient Discrete Choice Experiment Designs for the Estimation of QALY Tariffs That Are Corrected for Nonlinear Time Preferences [Editor's Choice]

Oct 1, 2019, 00:00 AM
10.1016/j.jval.2019.05.014
https://www.valueinhealthjournal.com/article/S1098-3015(19)32246-6/fulltext
Section Title : METHODOLOGY
Section Order : 1162
First Page : 1162

Objectives

This article explains how to optimize Bayesian D-efficient discrete choice experiment (DCE) designs for the estimation of quality-adjusted life year (QALY) tariffs that are unconfounded by respondents' time preferences.

Methods

The calculation of Bayesian D-errors is explained for DCE designs that allow for the disentanglement of respondents' time and health-state preferences. Time preferences are modelled via an exponential, hyperbolic, or power discount function and the performance of the proposed DCE designs is compared with that of several conventional DCE designs that do not take nonlinear time preferences into account.

Results

Based on the achieved D-error, asymptotic standard error, and estimated sample size to obtain statistically significant estimates of the discount rate parameters, the proposed designs outperform the conventional DCE designs.

Conclusions

We recommend that applied researchers use appropriately optimized DCE designs for the estimation of QALY tariffs that are corrected for time preferences. The TPC-QALY software package that accompanies this article makes the recommended designs easily accessible for health-state valuation researchers.

https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(19)32246-6&doi=10.1016/j.jval.2019.05.014
HEOR Topics :
  • Decision Modeling & Simulation
  • Methodological & Statistical Research
  • Modeling and simulation
  • Patient-Centered Research
  • Stated Preference & Patient Satisfaction
  • Study Approaches
Tags :
  • discrete choice experiment
  • health state valuation
  • quality-adjusted life year
  • time preferences
Regions :