A decision analytics model to optimize investment in interventions targeting the HIV preexposure prophylaxis cascade of care.

ABSTRACT:

Objectives

Gaps between recommended and actual levels of HIV preexposure prophylaxis (PrEP) use remain among MSM. Interventions can address these gaps but it is unknown how public health initiatives should invest prevention funds into these interventions to maximize their population impact.

Design

We used a stochastic network-based HIV transmission model for MSM in the Atlanta area paired with an economic budget optimization model.

Methods

The model simulated MSM participating in up to three real-world PrEP cascade interventions designed to improve initiation, adherence, or persistence. The primary outcome was infections averted over 10 years. The budget optimization model identified the investment combination under different budgets that maximized this outcome, given

SUBMITTER: Jenness SM 

PROVIDER: S-EPMC8243826 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature