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Achieving optimal HIV outcomes, as measured by global 90-90-90 targets, that is awareness of HIV-positive status, receipt of antiretroviral (ARV) therapy among aware and viral load (VL) suppression among those on ARVs, respectively, is critical. However, few data from sub-Saharan Africa (SSA) are available on older people (50+) living with HIV (OPLWH). We examined 90-90-90 progress by age, 15-49 (as a comparison) and 50+ years, with further analyses among 50+ (55-59, 60-64, 65+ vs. 50-54), in 13 countries (Cameroon, Cote d'Ivoire, Eswatini, Ethiopia, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia and Zimbabwe).Using data from nationally representative Population-based HIV Impact Assessments, conducted between 2015and 2019, participants from randomly selected households provided demographic and clinical information and whole blood specimens for HIV serology, VL and ARV testing. Survey weighted outcomes were estimated for 90-90-90 targets. Country-specific Poisson regression models examined 90-90-90 variation among OPLWH age strata.Analyses included 24,826 HIV-positive individuals (15-49 years: 20,170; 50+ years: 4656). The first, second and third 90 outcomes were achieved in 1, 10 and 5 countries, respectively, by those aged 15-49, while OPLWH achieved outcomes in 3, 13 and 12 countries, respectively. Among those aged 15-49, women were more likely to achieve 90-90-90 targets than men; however, among OPLWH, men were more likely to achieve first and third 90 targets than women, with second 90 achievement being equivalent. Country-specific 90-90-90 regression models among OPLWH demonstrated minimal variation by age stratum across 13 countries. Among OLPWH, no first 90 target differences were noted by age strata; three countries varied in the second 90 by older age strata but not in a consistent direction; one country showed higher achievement of the third 90 in an older age stratum.While OPLWH in these 13 countries were slightly more likely than younger people to be aware of their HIV-positive status (first 90), this target was not achieved in most countries. However, OPLWH achieved treatment (second 90) and VL suppression (third 90) targets in more countries than PLWH50. Findings support expanded HIV testing, prevention and treatment services to meet ongoing OPLWH health needs in SSA.

In Africa, rapid testing for recent HIV infection (RTRI) is being scaled up; however, use of the recent infection testing algorithm (RITA), which uses viral load (VL) to confirm RTRI-recent infections, is not a widespread practice. We present results of recently acquired HIV infections among men who have sex with men (MSM), transgender women, and genderqueer (TGW/GQ) individuals with newly diagnosed HIV infection in Zimbabwe as per the national approach (RTRI) and applying a RITA. In 2019, 1,538 MSM and TGW/GQ in Harare and Bulawayo, Zimbabwe were recruited to participate in a biobehavioral survey using respondent-driven sampling. Consenting participants received HIV testing and all HIV-positive specimens were tested with the RTRI Asanté HIV-1 Rapid Recency Assay, and for VL and CD4 count. RTRI-recent participants with unsuppressed VL (≥1,000 copies/mL) were classified as RITA-recent. Descriptive statistics were used to summarize results among RTRI-recent and RITA-recent participants. Among those tested for HIV (1,511/1,538), 22.5% (340/1,511) tested positive and of those, 55.0% (187/340) self-reported an HIV-negative or unknown status. Among these, 8.6% (16/187) were classified as RTRI-recent and 91.4% (171/187) were classified as RTRI-long term. After accounting for VL, RITA-recency was 1.1% (2/187). Two of 16 (12.5%) RTRI-recent infections were RITA-recent. VL among RITA-recent cases were 9,052 copies/mL and 40,694 copies/mL and both had CD4 counts500. Data highlight misclassification of recent infections among MSM and TGW/GQ with newly diagnosed HIV infection using RTRI. With the incorporation of VL,85% of RTRI-recent cases were reclassified as RITA-long term. True characterization of recent infections may not be possible without VL testing, which remains challenging in resource-limited settings.

Introduction Misclassification errors have been reported in rapid diagnostic HIV tests (RDTs) in sub‐Saharan African countries. These errors can lead to missed opportunities for prevention‐of‐mother‐to‐child‐transmission (PMTCT), early infant diagnosis and adult HIV‐prevention, unnecessary lifelong antiretroviral treatment (ART) and wasted resources. Few national estimates or systematic quantifications of sources of errors have been produced. We conducted a comprehensive assessment of possible sources of misclassification errors in routine HIV testing in Zimbabwe. Methods RDT‐based HIV test results were extracted from routine PMTCT programme records at 62 sites during national antenatal HIV surveillance in 2017. Positive‐ (PPA) and negative‐percent agreement (NPA) for HIV RDT results and the false‐HIV‐positivity rate for people with previous HIV‐positive results (“known‐positives”) were calculated using results from external quality assurance testing done for HIV surveillance purposes. Data on indicators of quality management systems, RDT kit performance under local climatic conditions and user/clerical errors were collected using HIV surveillance forms, data‐loggers and a Smartphone camera application (7 sites). Proportions of cases with errors were compared for tests done in the presence/absence of potential sources of errors. Results NPA was 99.9% for both pregnant women (N = 17224) and male partners (N = 2173). PPA was 90.0% (N = 1187) and 93.4% (N = 136) for women and men respectively. 3.5% (N = 1921) of known‐positive individuals on ART were HIV negative. Humidity and temperature exceeding manufacturers’ recommendations, particularly in storerooms (88.6% and 97.3% respectively), and premature readings of RDT output (56.0%) were common. False‐HIV‐negative cases, including interpretation errors, occurred despite staff training and good algorithm compliance, and were not reduced by existing external or internal quality assurance procedures. PPA was lower when testing room humidity exceeded 60% (88.0% vs. 93.3%; p = 0.007). Conclusions False‐HIV‐negative results were still common in Zimbabwe in 2017 and could be reduced with HIV testing algorithms that use RDTs with higher sensitivity under real‐world conditions and greater practicality under busy clinic conditions, and by strengthening proficiency testing procedures in external quality assurance systems. New false‐HIV‐positive RDT results were infrequent but earlier errors in testing may have resulted in large numbers of uninfected individuals being on ART.

INTRODUCTION: Zimbabwe has a high burden of HIV (i.e., estimated 1.3 million HIV-infected and 13.8% HIV incidence in 2017). In 2017 the country developed and implemented a pilot of HIV case surveillance (CS) based on the 2017 World Health Organisation (WHO) person-centred HIV patient monitoring (PM) and case surveillance guidelines. At the end of the pilot phase an evaluation was conducted to inform further steps. METHODS: The pilot was conducted in two districts (i.e., Umzingwane in Matabeleland South Province and Mutare in Manicaland Province) from August 2017 to December 2018. A mixed-methods cross-sectional study of stakeholders and health facility staff was used to assess the design and operations, performance, usefulness, sustainability, and scalability of the CS system. A total of 13 stakeholders responded to an online questionnaire, while 33 health facility respondents were interviewed in 11 health facilities in the two districts. RESULTS: The HIV CS system was adequately designed for Zimbabwe´s context, integrated within existing health information systems at the facility level. However, the training was minimal, and an opportunity to train the data entry clerks in data analysis was missed. The system performed well in terms of surveillance and informatics attributes. However, viral load test results return was a significant problem. CONCLUSION: The HIV CS system was found useful at the health facility level and should be rolled out in a phased manner, beginning in Manicaland and Matabeleland South provinces. An electronic link needs to be made between the health facilities and the laboratory to reduce viral load test results delays.

BACKGROUND Zimbabwe has a high burden of HIV, with an estimated 1.3 million people living with the virus and an HIV prevalence and incidence of 13.8% and 0.48%, respectively (2017 Spectrum estimates). In 2017, the Zimbabwe Ministry of Health and Child Care (MOHCC) developed and implemented a pilot of HIV case surveillance (CS) based on the 2017 World Health Organisation (WHO) Person-centred HIV patient monitoring (PM) and case surveillance guidelines. As the case surveillance guidelines were new, lessons learned from field implementation experiences were intended to inform the development of HIV case surveillance implementation guidance and tools. OBJECTIVE At the end of the pilot phase, the Ministry of Health and Child Care (MOHCC) commissioned an evaluation to inform further steps. METHODS Two districts, Umzingwane in Matabeleland South Province and Mutare in Manicaland Province were commissioned to run the CS pilot from August 2017 to December 2018. During this period, 1602 people living with HIV (PLHIV) newly diagnosed with HIV were reported in the CS system, while other HIV sentinel events, including ART initiation and first viral load test, were routinely reported. A mixed-methods cross-sectional study of stakeholders and health facility staff was used to assess the following CS system features: design and operations, performance, usefulness, sustainability and scalability. A total of 13 stakeholders responded to an online questionnaire, while 33 health facility respondents were interviewed in 11 health facilities in the two pilot districts. RESULTS The HIV CS system was adequately designed for Zimbabwe’s context, integrated within existing health information systems at the facility level. However, the training was minimal, and an opportunity to train the data entry clerks in data analysis was missed. The system performed well in terms of surveillance and informatics attributes. However, viral load test results return was a significant problem. The system was used at the health facility level to track the HIV positive clients in their catchment area; all facilities that were visited were aware of what is happening to their clients. Almost all respondents believed that the country can roll out the HIV CS system to all facilities with partner support. CONCLUSIONS The HIV CS system was found useful at the health facility level and should be rolled out in a phased manner, beginning with all facilities in Manicaland and Matabeleland South provinces. An electronic link needs to be made between the health facilities and the laboratory to reduce viral load test results delays. Lessons learned from the provincial roll out can be used for a nationwide scale-up.