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objective To provide a broad and up-to-date picture of the effect of antiretroviral therapy (ART) provision on population-level mortality in Southern and East Africa. methods Data on all-cause, AIDS and non-AIDS mortality among 15–59 year olds were analysed from demographic surveillance sites (DSS) in Karonga (Malawi), Kisesa (Tanzania), Masaka (Uganda) and the Africa Centre (South Africa), using Poisson regression. Trends over time from up to 5 years prior to ART roll-out, to 4–6 years afterwards, are presented, overall and by age and sex. For Masaka and Kisesa, trends are analysed separately for HIV-negative and HIV-positive individuals. For Karonga and the Africa Centre, trends in AIDS and non-AIDS mortality are analysed using verbal autopsy data. results For all-cause mortality, overall rate ratios (RRs) comparing the period 2–6 years following ART roll-out with the pre-ART period were 0.58 (5.9 vs. 10.2 deaths per 1000 person-years) in Karonga, 0.79 (7.2 vs. 9.1 deaths per 1000 person-years) in Kisesa, 0.61 (6.7 compared with 11.0 deaths per 1000 person-years) in Masaka and 0.79 (14.8 compared with 18.6 deaths per 1000 person-years) in the Africa Centre DSS. The mortality decline was seen only in HIV-positive individuals ⁄ AIDS mortality, with no decline in HIV-negative individuals ⁄ non-AIDS mortality. Less difference was seen in Kisesa where ART uptake was lower. conclusions Falls in all-cause mortality are consistent with ART uptake. The largest falls occurred where ART provision has been decentralised or available locally, suggesting that this is important.

OBJECTIVES: To investigate antiretroviral therapy (ART) uptake after its introduction in 2004 in a longitudinal population-based cohort and its nested clinical cohort in rural Uganda. METHODS: A HIV serosurvey of all adults aged ≥ 15 years is conducted annually. Two intervals were selected for analysis. Interval 1 (November 2004-October 2006) provided 2 years of follow-up to prospectively evaluate access to HIV services. Interval 2 (November 2007-October 2008) was used to evaluate current coverage of services. Logistic regression was used to identify sociodemographic factors associated with ART screening within 2 years of diagnosis. ART coverage was assessed using Weibull survival models to estimate the numbers needing ART. RESULTS: In Interval 1, 636 HIV-positive adults were resident and 295 (46.4%) knew their status. Of those, 248 (84.1%) were screened for ART within 2 years of diagnosis. After adjusting for age, those who were widowed, separated or never married were more likely to be screened than those who were married. In Interval 2, 575 HIV-positive adults were residents, 322 (56.0%) knew their status, 255 (44.3%) had been screened for ART and 189 (32.9%) had started ART. Estimated ART coverage was 66%. CONCLUSIONS: In this cohort, ART access and uptake is very high once people are diagnosed. Owing to intensive screening in the study clinic, nearly all participants who were eligible initiated ART. However, this is unlikely to reflect coverage in the general population, intensified efforts are needed to promote HIV testing, and ART screening and uptake are needed among those found to be HIV-positive.