Understanding Repeat Positive HIV Testing in South Africa Under Changing Treatment Guidelines

Migrant men and HIV care engagement in Johannesburg, South Africa

BACKGROUND

South Africa (SA) has one of the highest rates of migration on the continent, largely comprised of men seeking labor opportunities in urban centers. Migrant men are at risk for challenges engaging in HIV care. However, rates of HIV and patterns of healthcare engagement among migrant men in urban Johannesburg are poorly understood.

METHODS

We analyzed data from 150 adult men (≥ 18 years) recruited in 10/2020-11/2020 at one of five sites in Johannesburg, Gauteng Province, SA where migrants typically gather for work, shelter, transit, or leisure: a factory, building materials store, homeless shelter, taxi rank, and public park. Participants were surveyed to assess migration factors (e.g., birth location, residency status), self-reported HIV status, and use and knowledge of HIV and general health services. Proportions were calculated with descriptive statistics. Associations between migration factors and health outcomes were examined with Fisher exact tests and logistic regression models. Internal migrants, who travel within the country, were defined as South African men born outside Gauteng Province. International migrants were defined as men born outside SA.

RESULTS

Two fifths (60/150, 40%) of participants were internal migrants and one fifth (33/150, 22%) were international migrants. More internal migrants reported living with HIV than non-migrants (20% vs 6%, p = 0.042), though in a multi-variate analysis controlling for age, being an internal migrant was not a significant predictor of self-reported HIV positive status. Over 90% all participants had undergone an HIV test in their lifetime. Less than 20% of all participants had heard of pre-exposure prophylaxis (PrEP), with only 12% international migrants having familiarity with PrEP. Over twice as many individuals without permanent residency or citizenship reported "never visiting a health facility," as compared to citizens/permanent residents (28.6% vs. 10.6%, p = 0.073).

CONCLUSIONS

Our study revealed a high proportion of migrants within our community-based sample of men and demonstrated a need for HIV and other healthcare services that effectively reach migrants in Johannesburg. Future research is warranted to further disaggregate this heterogenous population by different dimensions of mobility and to understand how to design HIV programs in ways that will address migrants' challenges.

Validity of Self-Report for Ascertaining HIV Status Among Circular Migrants and Permanent Residents in South Africa: A Cross-Sectional, Population-Based Analysis

While expanded HIV testing is needed in South Africa, increasing accurate self-report of HIV status is an essential parallel goal in this highly mobile population. If self-report can ascertain true HIV-positive status, persons with HIV (PWH) could be linked to life-saving care without the existing delays required by producing medical records or undergoing confirmatory testing, which are especially burdensome for the country's high prevalence of circular migrants. We used Wave 1 data from The Migration and Health Follow-Up Study, a representative adult cohort, including circular migrants and permanent residents, randomly sampled from the Agincourt Health and Demographic Surveillance System in a rural area of Mpumalanga Province. Within the analytic sample (n = 1,918), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of self-report were calculated with dried blood spot (DBS) HIV test results as the standard. Among in-person participants (n = 2,468), 88.8% consented to DBS-HIV testing. HIV prevalence was 25.3%. Sensitivity of self-report was 43.9% (95% CI: 39.5-48.5), PPV was 93.4% (95% CI: 89.5-96.0); specificity was 99.0% (95% CI: 98.3-99.4) and NPV was 83.9% (95% CI: 82.8-84.9). Self-report of an HIV-positive status was predictive of true status for both migrants and permanent residents in this high-prevalence setting. Persons who self-reported as living with HIV were almost always truly positive, supporting a change to clinical protocol to immediately connect persons who say they are HIV-positive to ART and counselling. However, 56% of PWH did not report as HIV-positive, highlighting the imperative to address barriers to disclosure.

Pre-exposure prophylaxis (PrEP) uptake and service delivery adaptations during the first wave of the COVID-19 pandemic in 21 PEPFAR-funded countries

Background

Mitigation measures for the first wave of the COVID-19 pandemic and burden on health systems created challenges for pre-exposure prophylaxis (PrEP) service delivery. We examined PrEP uptake in PEPFAR programs before and after the start of the COVID-19 pandemic.

Methods

We studied two PEPFAR program monitoring indicators, using routine Monitoring, Evaluation, Reporting (MER) indicators capturing uptake of PrEP (PrEP_NEW) and overall use of PrEP (PrEP_CURR). We also analyzed descriptive program narratives to understand successes and challenges field teams encountered after the start of the COVID-19 pandemic. To assess changes in coverage of PrEP across 21 countries, we calculated the “PrEP to need ratio” (PnR) using a published methodology. We defined the pre-COVID time period as April 1, 2019 –March 31, 2020 and the COVID time period as April 1, 2020 –March 31, 2021.

Findings

The total number of persons who initiated PrEP increased by 157% from 233,250 in the pre-COVID-19 period compared with 599,935 in the COVID-19 period. All countries, except five, noted significant increases in PrEP uptake. PrEP uptake among adolescent girls and young women (AGYW) increased by 159% from 80,452 AGYW in the pre-COVID-19 period to 208,607 AGYW in the COVID-19 period. There were 77,430 key populations (KP) initiated on PrEP in the pre-COVID-19 period and 209,114 KP initiated in the COVID-19 period (a 170% increase). The PnR increased 214% in the COVID-19 period across all PEPFAR-supported countries. Adaptations, such as multi-month dispensing (MMD) of PrEP; virtual demand creation activities; decentralized, community-based and virtual service delivery, were implemented to maintain PrEP services.

Conclusions

PEPFAR programs continued to maintain and initiate new clients on PrEP despite the challenges posed by the COVID-19 pandemic. Adaptations such as MMD of PrEP and use of technology were vital in expanding service delivery and increasing PrEP coverage.

Funding

This project has been supported by the U.S. President’s Emergency Plan for AIDS Relief.