Optimizing respondent-driven sampling to find undiagnosed HIV-infected people who inject drugs.

ABSTRACT:

Objective

We evaluated whether identification of undiagnosed HIV-infected people who inject drugs (PWID) via respondent-driven sampling (RDS) can be enhanced through a precision RDS (pRDS) approach.

Design/methods

First, using prior RDS data from PWID in India, we built a prediction algorithm for recruiting undiagnosed HIV-infected PWID. pRDS was tested in Morinda, Punjab where participants were randomly assigned to standard or pRDS. In the standard RDS approach, all participants received two recruitment coupons. For pRDS, the algorithm determined an individual's probability of recruiting an undiagnosed PWID, and individuals received either two (low probability) or five (high probability) coupons. Efficiency in identifying undiagnosed HIV-infected PWID for the RDS approaches

SUBMITTER: McFall AM 

PROVIDER: S-EPMC7842595 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature