As ART expands in resource-limited settings, challenges remain in improving access to ART and preventing program attrition. There is an urgent need for novel and sustainable models of care to increase long-term retention of patients.

Introduction Routinely monitoring the HIV viral load ( VL ) of people living with HIV ( PLHIV ) on anti‐retroviral therapy ( ART ) facilitates intensive adherence counselling and faster ART regimen switch when treatment failure is indicated. Yet standard VL ‐testing in centralized laboratories can be time‐intensive and logistically difficult in low‐resource settings. This paper evaluates the outcomes of the first four years of routine VL ‐monitoring using Point‐of‐Care technology, implemented by Médecins Sans Frontières ( MSF ) in rural clinics in Malawi. Methods We conducted a retrospective cohort analysis of patients eligible for routine VL ‐ testing between 2013 and 2017 in four decentralized ART ‐clinics and the district hospital in Chiradzulu, Malawi. We assessed VL ‐testing coverage and the treatment failure cascade (from suspected failure (first VL >1000 copies/ mL ) to VL suppression post regimen switch). We used descriptive statistics and multivariate logistic regression to assess factors associated with suspected failure. Results and Discussion Among 21,400 eligible patients, VL ‐testing coverage was 85% and VL suppression was found in 89% of those tested. In the decentralized clinics, 88% of test results were reviewed on the same day as blood collection, whereas in the district hospital the median turnaround‐time for results was 85 days. Among first‐line ART patients with suspected failure (N = 1544), 30% suppressed ( VL <1000 copies/ mL ), 35% were treatment failures (confirmed by subsequent VL ‐testing) and 35% had incomplete VL follow‐up. Among treatment failures, 80% (N = 540) were switched to a second‐line regimen, with a higher switching rate in the decentralized clinics than in the district hospital (86% vs. 67%, p < 0.01) and a shorter median time‐to‐switch (6.8 months vs. 9.7 months, p < 0.01). Similarly, the post‐switch VL ‐testing rate was markedly higher in the decentralized clinics (61% vs. 26%, p < 0.01). Overall, 79% of patients with a post‐switch VL ‐test were suppressed. Conclusions Viral load testing at the point‐of‐care in Chiradzulu, Malawi achieved high coverage and good drug regimen switch rates among those identified as treatment failures. In...

Short delays between HIV testing and care enrollment were observed in our HIV programs, but delays to determine ART eligibility were long. Interventions to initiate ART earlier, specifically targeted to men, are needed to improve patient retention in Africa.

Our findings underline the importance of optimal treatment adherence and adequate virological response monitoring and emphasize the need for resistance surveillance initiatives even in HIV programs achieving high virological suppression rates.

BackgroundRetention of patients on antiretroviral therapy (ART) over time is a proxy for quality of care and an outcome indicator to monitor ART programs. Using existing databases (Antiretroviral in Lower Income Countries of the International Databases to Evaluate AIDS and Médecins Sans Frontières), we evaluated three sampling approaches to simplify the generation of outcome indicators.Methods and FindingsWe used individual patient data from 27 ART sites and included 27,201 ART-naive adults (≥15 years) who initiated ART in 2005. For each site, we generated two outcome indicators at 12 months, retention on ART and proportion of patients lost to follow-up (LFU), first using all patient data and then within a smaller group of patients selected using three sampling methods (random, systematic and consecutive sampling). For each method and each site, 500 samples were generated, and the average result was compared with the unsampled value. The 95% sampling distribution (SD) was expressed as the 2.5th and 97.5th percentile values from the 500 samples. Overall, retention on ART was 76.5% (range 58.9–88.6) and the proportion of patients LFU, 13.5% (range 0.8–31.9). Estimates of retention from sampling (n = 5696) were 76.5% (SD 75.4–77.7) for random, 76.5% (75.3–77.5) for systematic and 76.0% (74.1–78.2) for the consecutive method. Estimates for the proportion of patients LFU were 13.5% (12.6–14.5), 13.5% (12.6–14.3) and 14.0% (12.5–15.5), respectively. With consecutive sampling, 50% of sites had SD within ±5% of the unsampled site value.ConclusionsOur results suggest that random, systematic or consecutive sampling methods are feasible for monitoring ART indicators at national level. However, sampling may not produce precise estimates in some sites.