Modeling SF-6D Health Utilities: Is Bayesian Approach Appropriate?

ABSTRACT:

Background

Valuation studies of preference-based health measures like SF6D have been conducted in many countries. However, the cost of conducting such studies in countries with small populations or low- and middle-income countries (LMICs) can be prohibitive. There is potential to use results from readily available countries' valuations to produce better valuation estimates.

Methods

Data from Lebanon and UK SF-6D value sets were analyzed, where values for 49 and 249 health states were extracted from samples of Lebanon and UK populations, respectively, using standard gamble techniques. A nonparametric Bayesian model was used to estimate a Lebanon value set using the UK data as informative priors. The resulting estimates were then compared to a Lebanon value set obtained using

SUBMITTER: Kharroubi SA 

PROVIDER: S-EPMC8392468 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature