Estimating HIV pre-exposure prophylaxis need and impact in Malawi, Mozambique and Zambia: A geospatial and risk-based analysis.

BACKGROUND: Pre-exposure prophylaxis (PrEP), a WHO-recommended HIV prevention method for people at high risk for acquiring HIV, is being increasingly implemented in many countries. Setting programmatic targets, particularly in generalised epidemics, could incorporate estimates of the size of the population likely to be eligible for PrEP using incidence-based thresholds. We estimated the proportion of men and women who would be eligible for PrEP and the number of HIV infections that could be averted in Malawi, Mozambique, and Zambia using prioritisation based on age, sex, geography, and markers of risk. METHODS AND FINDINGS: We analysed the latest nationally representative Demographic and Health Surveys (DHS) of Malawi, Mozambique, and Zambia to determine the proportion of adults who report behavioural markers of risk for HIV infection. We used prevalence ratios (PRs) to quantify the association of these factors with HIV status. Using a multiplier method, we combined these proportions with the number of new HIV infections by district, derived from district-level modelled HIV estimates. Based on these numbers, different scenarios were analysed for the minimum number of person-years on PrEP needed to prevent 1 HIV infection (NNP). An estimated total of 38,000, 108,000, and 46,000 new infections occurred in Malawi, Mozambique, and Zambia in 2016, corresponding with incidence rates of 0.43, 0.63, and 0.57 per 100 person-years. In these countries, 9%-20% of new infections occurred among people with a sexually transmitted infection (STI) in the past 12 months and 40%-42% among people with either an STI or a non-regular sexual partner (NP) in the past 12 months (STINP). The models estimate that around 50% of new infections occurred in districts with incidence rates ≥1.0% in Mozambique and Zambia and ≥0.5% in Malawi. In Malawi, Mozambique, and Zambia, 35.1%, 21.9%, and 12.5% of the population live in these high-incidence districts. In the most parsimonious scenario, if women aged 15-34 years and men 20-34 years with an STI in the past 12 months living in high-incidence districts were to take PrEP, it would take a minimum of 65.8 person-years on PrEP to avert 1 HIV infection per year in Malawi, 35.2 in Mozambique, and 16.4 in Zambia. Our findings suggest that 3,300, 5,200, and 1,700 new infections could be averted per year in the 3 countries, respectively. Limitations of our study are that these values are based on modelled estimates of HIV incidence and self-reported behavioural risk factors from national surveys. CONCLUSIONS: A large proportion of new HIV infections in these 3 African countries were estimated to occur among people who had either an STI or an NP in the past year, providing a straightforward means to set PrEP targets. Greater prioritisation of PrEP by district, sex, age, and behavioural risk factors resulted in lower NNPs thereby increasing PrEP cost-effectiveness, but also diminished the overall impact on reducing new infections

Measuring linkage to HIV treatment services following HIV self-testing in low-income settings.

Globally, HIV testing services (HTS) have been scaled up resulting in 79% of all people with HIV aware of their status in 2018 [1]. However, 8.1 million people remain undiagnosed [1], many of whom are hard to reach through traditional HTS approaches. In 2016, the World Health Organization (WHO) strongly recommended HIV self‐testing (HIVST) as an HTS approach, followed by an update in 2019 [2, 3]. Since 2016, the number of countries with supportive HIVST policies has grown rapidly to 77 with 38 countries implementing HIVST as of July 2019 [1]. HIVST has proved effective in reaching people with undiagnosed HIV and those at high ongoing risk [4-6], however, many countries are yet to implement or scale up HIVST

Initial implementation of PrEP in Zambia: health policy development and service delivery scale-up

INTRODUCTION: Daily pre-exposure prophylaxis (PrEP) for HIV prevention is highly effective, but not yet widely deployed in sub-Saharan Africa. We describe how Zambia developed PrEP health policy and then successfully implemented national PrEP service delivery. POLICY DEVELOPMENT: Zambia introduced PrEP as a key strategy for HIV prevention in 2016, and established a National PrEP Task Force to lead policy advocacy and development. The Task Force was composed of government representatives, regulatory agencies, international donors, implementation partners and civil society organisations. Following an implementation pilot, PrEP was rolled out nationally using risk-based criteria alongside a national HIV prevention campaign. NATIONAL SCALE-UP: In the first year of implementation, ending September 2018, 3626 persons initiated PrEP. By September 2019, the number of people starting PrEP increased by over sixfold to 23 327 persons at 728 sites across all ten Zambian provinces. In the first 2 years, 26 953 clients initiated PrEP in Zambia, of whom 31% were from key and priority populations. Continuation remains low at 25% and 11% at 6 and 12 months, respectively. LESSONS LEARNT: Risk-based criteria for PrEP ensures access to those most in need of HIV prevention. Healthcare worker training in PrEP service delivery and health needs of key and priority populations is crucial. PrEP expansion into primary healthcare clinics and community education is required to reach full potential. Additional work is needed to understand and address low PrEP continuation. Finally, a task force of key stakeholders can rapidly develop and implement health policy, which may serve as a model for countries seeking to implement PrEP

Examining the effects of HIV self-testing compared to standard HIV testing services in the general population: A systematic review and meta-analysis.

BACKGROUND: We updated a 2017 systematic review and compared the effects of HIV self-testing (HIVST) to standard HIV testing services to understand effective service delivery models among the general population. METHODS: We included randomized controlled trials (RCTs) comparing testing outcomes with HIVST to standard testing in the general population and published between January 1, 2006 and June 4, 2019. Random effects meta-analysis was conducted and pooled risk ratios (RRs) were reported. The certainty of evidence was determined using the GRADE methodology. FINDINGS: We identified 14 eligible RCTs, 13 of which were conducted in sub-Saharan Africa. Support provided to self-testers ranged from no/basic support to one-on-one in-person support. HIVST increased testing uptake overall (RR:2.09; 95% confidence interval: 1.69-2.58; p < 0.0001;13 RCTs; moderate certainty evidence) and by service delivery model including facility-based distribution, HIVST use at facilities, secondary distribution to partners, and community-based distribution. The number of persons diagnosed HIV-positive among those tested (RR:0.81, 0.45-1.47; p = 0.50; 8 RCTs; moderate certainty evidence) and number linked to HIV care/treatment among those diagnosed (RR:0.95, 0.79-1.13; p = 0.52; 6 RCTs; moderate certainty evidence) were similar between HIVST and standard testing. Reported harms/adverse events with HIVST were rare and appeared similar to standard testing (RR:2.52: 0.52-12.13; p = 0.25; 4 RCTs; very low certainty evidence). INTERPRETATION: HIVST appears to be safe and effective among the general population in sub-Saharan Africa with a range of delivery models. It identified and linked additional people with HIV to care. These findings support the wider availability of HIVST to reach those who may not otherwise access testing

Maintaining HIV testing and treatment services in Zambia during COVID-19: a story of success and resilience

Background Coronavirus disease 2019 (COVID-19) is caused by a virus called severe acute respiratory syndrome coronavirus. As countries struggled to control the spread of the virus through among other measures closure of health facilities, repurposing of health care workers, and restrictions on people’s movement, HIV service delivery was affected. Objectives To assess the impact of COVID-19 on HIV service delivery in Zambia by comparing uptake of HIV services before and during COVID-19. Methods We used repeated cross-sectional quarterly and monthly data on HIV testing, HIV positivity rate, people living with HIV initiating ART and use of essential hospital services from July 2018 to December 2020. We assessed quarterly trends and measured proportionate changes comparing periods before and during COVID-19 divided into three different comparison time frames: (1) annual comparison 2019 versus 2020; (2) April to December 2019 versus same period in 2020; and (3) Quarter 1 of 2020 as base period versus each of the other quarters of year 2020. Results Annual HIV testing dropped by 43.7% (95%CI 43.6–43.7) in 2020 compared to 2019 and was similar by sex. Overall, annual recorded number of newly diagnosed PLHIV fell by 26.5% (95% CI 26.37–26.73) in 2020 compared to 2019, but HIV positivity rate was higher in 2020, 6.44% (95%CI 6.41–6.47) compared to 4.94% (95% CI 4.92–4.96) in 2019. Annual ART initiation dropped by 19.9% (95%CI 19.7–20.0) in 2020 compared to 2019 while use of essential hospital services dropped during the early months of COVID-19 April to August 2020 but picked up later in the year. Conclusion While COVID-19 had a negative impact on health service delivery, its impact on HIV service delivery was not huge. HIV policies that were implemented before COVID-19 on testing made it easier to adopt COVID-19 control measures and to continue providing HIV testing services without much disruption

Early infant diagnosis of HIV infection in Zambia through mobile phone texting of blood test results

OBJECTIVE: To see if, in the diagnosis of infant infection with human immunodeficiency virus (HIV) in Zambia, turnaround times could be reduced by using an automated notification system based on mobile phone texting. METHODS: In Zambia's Southern province, dried samples of blood from infants are sent to regional laboratories to be tested for HIV with polymerase chain reaction (PCR). Turnaround times for the postal notification of the results of such tests to 10 health facilities over 19 months were evaluated by retrospective data collection. These baseline data were used to determine how turnaround times were affected by customized software built to deliver the test results automatically and directly from the processing laboratory to the health facility of sample origin via short message service (SMS) texts. SMS system data were collected over a 7.5-month period for all infant dried blood samples used for HIV testing in the 10 study facilities. FINDINGS: Mean turnaround time for result notification to a health facility fell from 44.2 days pre-implementation to 26.7 days post-implementation. The reduction in turnaround time was statistically significant in nine (90%) facilities. The mean time to notification of a caregiver also fell significantly, from 66.8 days pre-implementation to 35.0 days post-implementation. Only 0.5% of the texted reports investigated differed from the corresponding paper reports. CONCLUSION: The texting of the results of infant HIV tests significantly shortened the times between sample collection and results notification to the relevant health facilities and caregivers

Measuring linkage to HIV treatment services following HIV self‐testing in low‐income settings

Globally, HIV testing services (HTS) have been scaled up resulting in 79% of all people with HIV aware of their status in 2018 [1]. However, 8.1 million people remain undiagnosed [1], many of whom are hard to reach through traditional HTS approaches. In 2016, the World Health Organization (WHO) strongly recommended HIV self‐testing (HIVST) as an HTS approach, followed by an update in 2019 [2, 3]. Since 2016, the number of countries with supportive HIVST policies has grown rapidly to 77 with 38 countries implementing HIVST as of July 2019 [1]. HIVST has proved effective in reaching people with undiagnosed HIV and those at high ongoing risk [4-6], however, many countries are yet to implement or scale up HIVST