What factors influence HIV testing? Modeling preference heterogeneity using latent classes and class-independent random effects.

ABSTRACT: Efforts to eliminate the HIV epidemic will require increased HIV testing rates among high-risk populations. To inform the design of HIV testing interventions, a discrete choice experiment (DCE) with six policy-relevant attributes of HIV testing options elicited the testing preferences of 300 female barworkers and 440 male Kilimanjaro mountain porters in northern Tanzania. Surveys were administered between September 2017 and July 2018. Participants were asked to complete 12 choice tasks, each involving first- and second-best choices from 3 testing options. DCE responses were analyzed using a random effects latent class logit (RELCL) model, in which the latent classes summarize common participant preference profiles, and the random effects capture additional individual-level preference heter

SUBMITTER: Ostermann J 

PROVIDER: S-EPMC9007550 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature