Correction: Estimating the Size of Key Populations in Kampala, Uganda: 3-Source Capture-Recapture Study

A retrospective cross sectional study assessing factors associated with retention and non-viral suppression among HIV positive FSWs receiving antiretroviral therapy from primary health care facilities in Kampala, Uganda

BACKGROUND

Patient retention in care and sustained viral load suppression are a cornerstone to improved health and quality of life, among people living with HIV. However, challenges of retention on ART remain among female sex workers (FSWs). We report lost to follow up (LTFU), viral load suppression, and the associated factors among FSWs that access HIV treatment at primary health care facilities in Kampala.

METHODS

We retrospectively abstracted and analysed patient management data of HIV positive FSWs who enrolled in care between January 2018 to December 2020. LTFU was defined as failure of a FSW to return for treatment at least 90 days from the date of their last clinic appointment. We defined viral suppression as having a last viral load of ≤ 1000 copies/ml preceding data abstraction. Data were analysed using Stata 15.1 software.

RESULTS

A total of 275 FSWs were included in our study sample. We found low retention of 85.1% (n = 234) at six months, corresponding to LTFU of 14.9 (n = 41) within the same period. Retention decreased with duration of being in care up to 73.5% (n = 202) at 24 months, and this translates to LTFU of 26.5% (n = 73). Viral load testing coverage was 62% (n = 132) and of these, 90.9% (n = 120) were virally suppressed. Factors associated with LTFU in univariable logistic regression; and viral load suppression in multivariable logistic regression models were; having a telephone contact (OR: 0.3, 95% CI: 0.1-0.9 p = 0.031), having enrolled in HIV care aged ≥ 35 years (OR: 0.5, 95% CI: 0.2-1.0 p = 0.048), (OR:0.03, 95%CI: 0.00-0.5, p = 0.016); and having good ART adherence (OR: 0.2, 95% CI: 0.1-0.5 p = 0.001), (OR:24.0, 95% CI: 3.7-153.4 p = 0.001) respectively. Having good ART adherence remained statistically significant (OR: 0.2, 95% CI: 0.08-0.53 p = 0.001) in multivariable logistic regression for LTFU.

CONCLUSION

This study found low retention among HIV diagnosed FSWs in care. Viral load suppression was acceptable and comparable to that of the general population, however viral load coverage was low. Strategies that increase retention in care and access to viral load testing such as individual client centred care models are vital to improve retention and viral load coverage among FSWs.

Population Size Estimation Methods: Searching for the Holy Grail

Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.