Providing HIV-assisted partner services to partners of partners in western Kenya: an implementation science study.

Introduction: Assisted partner services (APS), or exposure notification and HIV testing for sexual partners of persons diagnosed HIV positive (index clients), is recommended by the World Health Organization. Most APS literature focuses on outcomes among index clients and their partners. There is little data on the benefits of providing APS to partners of partners diagnosed with HIV.

Retrospective longitudinal analysis of low-level viremia among HIV-1 infected adults on antiretroviral therapy in Kenya.

Background: HIV low-level viremia (LLV) (51-999 copies/mL) can progress to treatment failure and increase potential for drug resistance. We analyzed retrospective longitudinal data from people living with HIV (PLHIV) on antiretroviral therapy (ART) in Kenya to understand LLV prevalence and virologic outcomes.

Methods: We calculated rates of virologic suppression (≤50 copies/mL), LLV (51-999 copies/mL), virologic non-suppression (≥1000 copies/mL), and virologic failure (≥2 consecutive virologic non-suppression results) among PLHIV aged 15 years and older who received at least 24 weeks of ART during 2015-2021.

Training health care providers to provide PrEP for HIV serodiscordant couples attending public health facilities in Kenya.

To catalyse national scale up of PrEP for HIV serodiscordant couples in public health facilities in Kenya, the Partners Scale-Up Project, using a two-day case-based interactive curriculum, trained health care providers working in 24 high volume facilities in central and western Kenya on PrEP service delivery. Using a standardised test with questions about PrEP and antiretroviral-based HIV prevention we assessed gain in knowledge and confidence gain by comparing pre-and post-training test scores. We explored experiences of the training through key informant interviews after clinics started delivering PrEP.

Validating physician-certified verbal autopsy and probabilistic modeling (InterVA) approaches to verbal autopsy interpretation using hospital causes of adult deaths.

Background: The most common method for determining cause of death is certification by physicians based either on available medical records, or where such data are not available, through verbal autopsy (VA). The physician-certification approach is costly and inconvenient; however, recent work shows the potential of a computer-based probabilistic model (InterVA) to interpret verbal autopsy data in a more convenient, consistent, and rapid way. In this study we validate separately both physician-certified verbal autopsy (PCVA) and the InterVA probabilistic model against hospital cause of death (HCOD) in adults dying in a district hospital on the coast of Kenya.