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Mobile HIV testing in South Africa: maximizing yield through data-guided site selection
Public Health Action
|September 27, 2021
Summary
Mobile HIV testing in southern Africa found that sites in marginalized communities with informal housing and fewer amenities had higher HIV positivity yields. Site characteristics can help optimize testing strategies.
Area of Science:
- Public Health
- Epidemiology
- Social Determinants of Health
Background:
- Mobile community HIV testing effectively reaches undiagnosed individuals in southern Africa.
- Variable HIV test positivity yields present a challenge, with high and low yield sites often located nearby.
- Identifying predictable site-level characteristics for HIV positivity yield is crucial for optimizing mobile testing programs.
Purpose of the Study:
- To determine if easily identifiable site-level characteristics are associated with HIV positivity yield in a routine mobile HIV testing program.
- To explore the relationship between community and shopping site characteristics and HIV testing outcomes.
Main Methods:
- Utilized routine HIV testing program data from 122 residential and 26 shopping sites.
- Characterized sites based on local environment and availability of services through key informant interviews.
- Analyzed associations between site characteristics and HIV-positive test yields.
Main Results:
- Median HIV-positive test yields were 7.6% for community sites and 6.9% for shopping sites.
- Observed a wide range of yields (2-55%) at community sites, with high and low yields in close proximity.
- Factors linked to lower income and marginalization, such as informal housing and lack of chain stores, correlated with higher HIV-positive yields.
Conclusions:
- Site characterization, especially identifying factors of marginalization, service scarcity, and poverty, can improve the identification of high-yield HIV testing locations.
- Understanding socio-economic and environmental factors at testing sites can enhance the efficiency of mobile HIV testing strategies.
- This approach can help target resources more effectively to reach populations most in need of HIV testing and services.

