Patient and programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV 'Treat All' in Zimbabwe

BackgroundSince scale-up of the HIV “Treat All”, evidence on its real-world effect on known predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between “Treat All” and, patient and programmatic characteristics, retention and predictors of attrition.MethodsWe used patient-level data from the electronic patient monitoring system (ePMS) from the nine districts which piloted “Treat All”. We compared patient and programme characteristics, retention and predictors of attrition (lost to follow-up, death or stopping ART) in two cohorts; before (April/May 2016) and after (January/February 2017) “Treat All”. Retention was estimated using survival analysis. Predictors of attrition were determined using a multivariable Cox regression model. Interactions were used to assess the change in predictors.ResultsWe analysed 3787 patients, 1738 (45.9%) and 2049 (54.1%) started ART before and after “Treat All”, respectively. The proportion of men was higher after “Treat All” (39.4.% vs 36.2%, p=0.044). Same-day ART initiation was more frequent after “Treat All” (43.2% vs 16.4%; pConclusionAttrition was higher after “Treat All”; being male, WHO Stage 4, and pregnancy predicted attrition in both before and after Treat All. However, pregnancy became a less strong risk factor for attrition after “Treat All” implementation.”