Using a Modeling-Based Approach to Assess and Optimize HIV Linkage to Care Services.

Evidence-based linkage to care interventions (LTCs) help recently diagnosed HIV+ individuals engage in care in a timely manner yet are heavily impacted by the systems in which they are embedded. We developed a prototype agent-based model informed by data from an established LTC program targeting youth and young adults aged 13-24 in Memphis, Tennessee. We then tested two interventions to improve LTC in a simulated environment: expanding testing sites versus using current testing sites but improving direct referral to LTC staff from organizations providing testing, to understand the impact on timely linkage to care.