Estimating Joint Health State Utility Algorithms Under Partial Information.

ABSTRACT:

Objectives

We explored the performance of existing joint health state utility estimators when data are not available on utilities that isolate single-condition health states excluding any co-occurring condition.

Methods

Using data from the National Epidemiologic Survey on Alcohol and Related Conditions-III, we defined 2 information sets: (1) a full-information set that includes the narrowly defined health state utilities used in most studies that test the performance of joint health state utility estimators, and (2) a limited information set that includes only the more broadly defined health state utilities more commonly available to researchers. We used an example of alcohol use disorder co-occurring with cirrhosis of the liver, depressive disorder, or nicotine use disorder

SUBMITTER: Bray JW 

PROVIDER: S-EPMC10126182 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature