Creating HIV risk profiles for men in South Africa: a latent class approach using cross-sectional survey data.

ABSTRACT:

Introduction

Engaging at-risk men in HIV prevention programs and services is a current priority, yet there are few effective ways to identify which men are at highest risk or how to best reach them. In this study we generated multi-factor profiles of HIV acquisition/transmission risk for men in Durban, South Africa, to help inform targeted programming and service delivery.

Methods

Data come from surveys with 947 men ages 20 to 40 conducted in two informal settlements from May to September 2017. Using latent class analysis (LCA), which detects a small set of underlying groups based on multiple dimensions, we identified classes based on nine HIV risk factors and socio-demographic characteristics. We then compared HIV service use between the classes.

Results

We identifie

SUBMITTER: Gottert A 

PROVIDER: S-EPMC7319107 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature