Severity-Stratified Discrete Choice Experiment Designs for Health State Evaluations.

ABSTRACT:

Background

Discrete choice experiments (DCEs) are increasingly used for health state valuations. However, the values derived from initial DCE studies vary widely. We hypothesize that these findings indicate the presence of unknown sources of bias that must be recognized and minimized. Against this background, we studied whether values derived from a DCE are sensitive to how well the DCE design spans the severity range.

Methods

We constructed an experiment involving three variants of DCE tasks for health state valuation: standard DCE, DCE-death, and DCE-duration. For each type of DCE, an experimental design was generated under two different conditions, enabling a comparison of health state values derived from current best practice Bayesian efficient DCE designs with values de

SUBMITTER: Lim S 

PROVIDER: S-EPMC6182499 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature