Awareness of and willingness to use oral pre-exposure prophylaxis (PrEP) for HIV prevention among sexually active adults in Malawi: results from the 2020 Malawi population-based HIV impact assessment.

BACKGROUND: The World Health Organization recommends Pre-Exposure Prophylaxis (PrEP) for all populations at substantial risk of HIV infection. Understanding PrEP awareness and interest is crucial for designing PrEP programs; however, data are lacking in sub-Saharan Africa. In Malawi, oral PrEP was introduced in 2018. We analyzed data from the 2020 Malawi Population-based HIV Impact Assessment (MPHIA) to assess PrEP awareness and factors associated with PrEP interest in Malawi. METHODS: MPHIA 2020 was a national cross-sectional household-based survey targeting adults aged 15 + years. Oral PrEP was first described to the survey participants as taking a daily pill to reduce the chance of getting HIV. To assess awareness, participants were asked if they had ever heard of PrEP and to assess interest, were asked if they would take PrEP to prevent HIV, regardless of previous PrEP knowledge. Only sexually active HIV-negative participants are included in this analysis. We used multivariable logistic regression to assess sociodemographic factors and behaviors associated with PrEP interest. All results were weighted. RESULTS: We included 13,995 HIV-negative sexually active participants; median age was 29 years old. Overall, 15.0%, 95% confidence interval (CI): 14.2-15.9% of participants were aware of PrEP. More males (adjusted odds ratio (aOR): 1.3, 95% CI: 1.2-1.5), those with secondary (aOR: 1.5, 95% CI: 1.2-2.0) or post-secondary (aOR: 3.4, 95% CI: 2.4-4.9) education and the wealthiest (aOR: 1.6, 95% CI: 1.2-2.0) were aware of PrEP than female, those without education and least wealthy participants, respectively. Overall, 73.0% (95% CI: 71.8-74.1%) of participants were willing to use PrEP. Being male (aOR: 1.2; 95% CI: 1.1-1.3) and having more than one sexual partner (aOR: 1.7 95% CI: 1.4-1.9), were associated higher willingness to use PrEP. CONCLUSIONS: In this survey, prior PrEP knowledge and use were low while PrEP interest was high. High risk sexual behavior was associated with willingness to use PrEP. Strategies to increase PrEP awareness and universal access, may reduce HIV transmission.

Rapid scale-up of COVID-19 training for frontline health workers in 11 African countries.

BACKGROUND: The global spread of the SARS-CoV-2 virus highlights both the importance of frontline healthcare workers (HCW) in pandemic response and their heightened vulnerability during infectious disease outbreaks. Adequate preparation, including the development of human resources for health (HRH) is essential to an effective response. ICAP at Columbia University (ICAP) partnered with Resolve to Save Lives and MOHs to design an emergency training initiative for frontline HCW in 11 African countries, using a competency-based backward-design approach and tailoring training delivery and health facility selection based on country context, location and known COVID-19 community transmission. METHODS: Pre- and post-test assessments were conducted on participants completing the COVID-19 training. Parametric and non-parametric methods were used to examine average individual-level changes from pre- to post-test, and compare performance between countries, cadres, sex and facility types. A post-evaluation online training survey using Qualtrics was distributed to assess participants' satisfaction and explore training relevance and impact on their ability to address COVID-19 in their facilities and communities. RESULTS: A total of 8797 HCW at 945 health facilities were trained between June 2020 and October 2020. Training duration ranged from 1 to 8 days (median: 3 days) and consisted of in person, virtual or self guided training. Of the 8105 (92%) HCW working at health facilities, the majority (62%) worked at secondary level facilities as these were the HF targeted for COVID-19 patients. Paired pre- and post-test results were available for 2370 (25%) trainees, and 1768 (18%) participants completed the post-evaluation training survey. On average, participants increased their pre- to post-test scores by 15 percentage points (95% CI 0.14, 0.15). While confidence in their ability to manage COVID-19 was high following the training, respondents reported that lack of access to testing kits (55%) and PPE (50%), limited space in the facility to isolate patients (45%), and understaffing (39%) were major barriers. CONCLUSION: Ongoing investment in health systems and focused attention to health workforce capacity building is critical to outbreak response. Successful implementation of an emergency response training such as this short-term IPC training initiative in response to the COVID-19 pandemic, requires speed, rigor and flexibility of its design and delivery while building on pre-existing systems, resources, and partnerships.

Status of HIV Epidemic Control Among Adolescent Girls and Young Women Aged 15-24 Years - Seven African Countries, 2015-2017.

In 2016, an estimated 1.5 million females aged 15-24 years were living with human immunodeficiency virus (HIV) infection in Eastern and Southern Africa, where the prevalence of HIV infection among adolescent girls and young women (3.4%) is more than double that for males in the same age range (1.6%) (1). Progress was assessed toward the Joint United Nations Programme on HIV/AIDS (UNAIDS) 2020 targets for adolescent girls and young women in sub-Saharan Africa (90% of those with HIV infection aware of their status, 90% of HIV-infected persons aware of their status on antiretroviral treatment [ART], and 90% of those on treatment virally suppressed [HIV viral load <1,000 HIV RNA copies/mL]) (2) using data from recent Population-based HIV Impact Assessment (PHIA) surveys in seven countries. The national prevalence of HIV infection in adolescent girls and young women aged 15-24 years, the percentage who were aware of their status, and among those persons who were aware, the percentage who had achieved viral suppression were calculated. The target for viral suppression among all persons with HIV infection is 73% (the product of 90% x 90% x 90%). Among all seven countries, the prevalence of HIV infection among adolescent girls and young women was 3.6%; among those in this group, 46.3% reported being aware of their HIV-positive status, and 45.0% were virally suppressed. Sustained efforts by national HIV and public health programs to diagnose HIV infection in adolescent girls and young women as early as possible to ensure rapid initiation of ART should help achieve epidemic control among adolescent girls and young women.

Prevalence of syphilis among adults and adolescents in five sub-Saharan African countries: findings from Population-based HIV Impact Assessment surveys.

BACKGROUND: HIV and syphilis are common sexually transmitted infections in sub-Saharan Africa. We aimed to investigate the prevalence and distribution of active syphilis while considering HIV status, demographic characteristics, and behavioural characteristics. METHODS: The Population-based HIV Impact Assessment surveys used a cross-sectional, two-stage, stratified cluster sample design to collect data in Ethiopia, Tanzania, Uganda, Zambia, and Zimbabwe from 2015 to 2018. Eligible participants were aged 15 years and older and provided demographic information, behavioural information, and blood specimens for HIV and syphilis testing. Active syphilis was defined as the presence of both treponemal and non-treponemal antibodies, measured using an antigen-based rapid test. Multivariable logistic regression models with survey weights were applied. The estimated number of participants with active syphilis in each country was calculated by multiplying the survey-weighted syphilis prevalence by the corresponding participant population size from the latest national census data. The total burden across the five countries was obtained by summing these estimates. FINDINGS: 102 831 participants enrolled in the five surveys (54 583 [57·6%] participants were female, 48 248 [42·4%] participants were male, 9036 [9·9%] participants were HIV positive). Population-based syphilis prevalence was 0·9% (95% CI 0·7-1·1) in Tanzania and Zimbabwe, 2·1% (1·9-2·4) in Uganda, and 3·0% (2·7-3·4) in Zambia. Overall, an estimated 1 027 615 (95% CI 877 243-1 158 246) participants had active syphilis across the five countries (266 383 HIV-positive and 761 232 HIV-negative individuals). Syphilis prevalence was higher among people living with HIV (range from 2·6% [95% CI 1·1-4·0] in Ethiopia to 9·6% [8·1-11·0] in Zambia) than among those without HIV (range from 0·8% [0·7-1·0] in Tanzania to 2·1% [1·8-2·4] in Zimbabwe). The odds of active syphilis were higher among people living with HIV than in those who were HIV negative (adjusted odds ratio [aOR] range from 2·5 [95% CI 1·8-3·4] in Uganda to 5·9 [3·8-9·2] in Zimbabwe), among divorced, separated, or widowed individuals (aOR range from 1·5 [1·1-2·0] in Uganda to 2·7 [1·7-4·3] in Zimbabwe), and among those reporting two or more sexual partners in the previous 12 months (aOR range from 1·1 [CI 0·8-1·5] in Uganda to 1·9 [1·1-3·3] in Zimbabwe). INTERPRETATION: This study shows the high burden of syphilis in five sub-Saharan African countries, with a correlation between HIV and active syphilis, underscoring the need for integrated sexual health services and targeted diagnosis, prevention, and treatment strategies to address this public health challenge. FUNDING: The President's Emergency Plan for AIDS Relief through the US Centers for Disease Control and Prevention.

Tuberculosis preventive treatment uptake among adults living with human immunodeficiency virus: Analysis of Zimbabwe population-based human immunodeficiency virus impact assessment 2020.

BACKGROUND: Tuberculosis remains the leading cause of death by an infectious disease among people living with HIV (PLHIV). TB Preventive Treatment (TPT) is a cost-effective intervention known to reduce morbidity and mortality. We used data from ZIMPHIA 2020 to assess TPT uptake and factors associated with its use. METHODOLOGY: ZIMPHIA a cross-sectional household survey, estimated HIV treatment outcomes among PLHIV aged ≥15 years. Randomly selected participants provided demographic and clinical information. We applied multivariable logistic regression models using survey weights. Variances were estimated via the Jackknife series to determine factors associated with TPT uptake. RESULTS: The sample of 2419 PLHIV ≥15 years had 65% females, 44% had no primary education, and 29% lived in urban centers. Overall, 38% had ever taken TPT, including 15% currently taking TPT. Controlling for other variables, those screened for TB at last HIV-related visit, those who visited a TB clinic in the previous 12 months, and those who had HIV viral load suppression were more likely to take TPT. CONCLUSION: The findings show suboptimal TPT coverage among PLHIV. There is a need for targeted interventions and policies to address the barriers to TPT uptake, to reduce TB morbidity and mortality among PLHIV.

Trends in HIV prevalence, incidence, and progress towards the UNAIDS 95-95-95 targets in Malawi among individuals aged 15-64 years: population-based HIV impact assessments, 2015-16 and 2020-21.

BACKGROUND: In 2014, UNAIDS set the goal of ending the AIDS epidemic by 2030 through the achievement of testing and treatment cascade targets. To evaluate progress achieved and highlight persisting gaps in HIV epidemic control in Malawi, we aimed to compare key indicators (prevalence, incidence, viral load suppression, and UNAIDS 95-95-95 targets) from the 2015-16 and 2020-21 Malawi Population-based HIV Impact Assessment (PHIA) survey results. METHODS: The Malawi PHIAs were nationally representative, cross-sectional surveys with a two-stage cluster sampling design. The first survey was conducted between Nov 27, 2015, and Aug 26, 2016; the second survey was conducted between Jan 15, 2020, and April 26, 2021. Our analysis included survey participants aged 15-64 years. Participants were interviewed and a 14 mL blood sample was collected and tested for HIV infection using the national rapid testing algorithm. For each survey, we estimated key HIV epidemic indicators and achievement of 95-95-95 targets. The risk ratio (RR) of the indicators between surveys were computed and considered significant at a confidence level of 0·05. All results were weighted, and self-reported awareness and treatment status were adjusted to account for detection of antiretrovirals. FINDINGS: Our analysis included 17 187 participants aged 15-64 years in 2015-16 and 21 208 in 2020-21 who participated in the surveys and blood draw. In the 2020-21 survey, 88·4% (95% CI 86·7-90·0) of people living with HIV were aware of their HIV-positive status; of those aware, 97·8% (97·1-98·5) were on antiretroviral therapy; and of those on treatment, 96·9% (95·9-97·7) were virally suppressed. Between surveys, the national HIV prevalence decreased significantly from 10·6% (10·0-11·2) to 8·9% (8·4-9·5) with RR 0·85 (95% CI 0·78-0·92; p<0·0001). The annual HIV incidence decreased from 0·37% (0·20-0·53) to 0·22% (0·11-0·34) with RR 0·61 (95% CI 0·31-1·20; p=0·15). The population viral load suppression increased from 68·3% (66·0-70·7) in 2015-16 to 87·0% (85·3-88·5) in 2020-21 (RR 1·27 [95% CI 1·22-1·32]; p<0·0001). INTERPRETATION: These results suggest that Malawi had already surpassed the UNAIDS viral load suppression target for 2030 (85·7%) by 2020-21. Through strategies and evidence-informed interventions implemented in the last half decade, especially scale-up of effective HIV treatment, Malawi has made tremendous progress, including decreasing HIV prevalence and incidence and achieving both the second and third 95 targets ahead of 2030. To address the first 95, efforts in HIV diagnosis should focus on males and younger age groups. There is a continued need for effective linkage to care, retention on antiretroviral therapy, and adherence support to maintain and build on progress. FUNDING: US President's Emergency Plan for AIDS Relief through the US Centers for Disease Control and Prevention.

The epidemiology of HIV population viral load in twelve sub-Saharan African countries.

BACKGROUND: We examined the epidemiology and transmission potential of HIV population viral load (VL) in 12 sub-Saharan African countries. METHODS: We analyzed data from Population-based HIV Impact Assessments (PHIAs), large national household-based surveys conducted between 2015 and 2019 in Cameroon, Cote d'Ivoire, Eswatini, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. Blood-based biomarkers included HIV serology, recency of HIV infection, and VL. We estimated the number of people living with HIV (PLHIV) with suppressed viral load (<1,000 HIV-1 RNA copies/mL) and with unsuppressed viral load (viremic), the prevalence of unsuppressed HIV (population viremia), sex-specific HIV transmission ratios (number female incident HIV-1 infections/number unsuppressed male PLHIV per 100 persons-years [PY] and vice versa) and examined correlations between a variety of VL metrics and incident HIV. Country sample sizes ranged from 10,016 (Eswatini) to 30,637 (Rwanda); estimates were weighted and restricted to participants 15 years and older. RESULTS: The proportion of female PLHIV with viral suppression was higher than that among males in all countries, however, the number of unsuppressed females outnumbered that of unsuppressed males in all countries due to higher overall female HIV prevalence, with ratios ranging from 1.08 to 2.10 (median: 1.43). The spatial distribution of HIV seroprevalence, viremia prevalence, and number of unsuppressed adults often differed substantially within the same countries. The 1% and 5% of PLHIV with the highest VL on average accounted for 34% and 66%, respectively, of countries' total VL. HIV transmission ratios varied widely across countries and were higher for male-to-female (range: 2.3-28.3/100 PY) than for female-to-male transmission (range: 1.5-10.6/100 PY). In all countries mean log10 VL among unsuppressed males was higher than that among females. Correlations between VL measures and incident HIV varied, were weaker for VL metrics among females compared to males and were strongest for the number of unsuppressed PLHIV per 100 HIV-negative adults (R2 = 0.92). CONCLUSIONS: Despite higher proportions of viral suppression, female unsuppressed PLHIV outnumbered males in all countries examined. Unsuppressed male PLHIV have consistently higher VL and a higher risk of transmitting HIV than females. Just 5% of PLHIV account for almost two-thirds of countries' total VL. Population-level VL metrics help monitor the epidemic and highlight key programmatic gaps in these African countries.

Progress towards controlling the HIV epidemic in urban Ethiopia: Findings from the 2017-2018 Ethiopia population-based HIV impact assessment survey.

INTRODUCTION: In 2014, the Joint United Nations Programme on HIV/AIDS set an 'ambitious' 90-90-90 target for 2020. By 2016, there were disparities observed among countries in their progress towards the targets and some believed the targets were not achievable. In this report, we present the results of data from the Ethiopia Population-based HIV Impact Assessment survey analyzed to assess progress with the targets and associated factors. METHODS: We conducted a nationally representative survey in urban areas of Ethiopia. Socio-demographic and behavioural data were collected from consenting participants using a structured interview. HIV testing was done following the national HIV rapid testing algorithm and seropositivity confirmed using a supplemental laboratory assay. HIV viral suppression was considered if the viral load was <1,000 RNA copies/ml. Screening antiretroviral drugs was done for efavirenz, lopinavir, and tenofovir, which were in use during the survey period. In this analysis, we generated weighted descriptive statistics and used bivariate and logistic regression analysis to examine for associations. The 95% confidence interval was used to measure the precision of estimates and the significance level set at p<0.05. RESULTS: Of 19,136 eligible participants aged 15-64 years, 614 (3% [95% CI: 0.8-3.3]) were HIV-positive, of which 79.0% (95% CI: 4.7-82.7) were aware of their HIV status, and 97.1% (95% CI: 95.0-98.3 were on antiretroviral therapy, of which 87.6% (95% CI: 83.9-90.5) achieved viral load suppression. Awareness about HIV-positive status was significantly higher among females (aOR = 2.8 [95% CI: 1.38-5.51]), significantly increased with age, the odds being highest for those aged 55-64 years (aOR = 11.4 [95% CI: 2.52-51.79]) compared to those 15-24 years, and was significantly higher among those who used condom at last sex in the past 12 months (aOR = 5.1 [95% CI: 1.68-15.25]). Individuals with secondary education and above were more likely to have achieved viral suppression (aOR = 8.2 [95% CI: 1.82-37.07]) compared with those with no education. CONCLUSION: Ethiopia made encouraging progress towards the UNAIDS 90-90-90 targets. The country needs to intensify its efforts to achieve the targets. A particular focus is required to fill the gaps in knowledge of HIV-positive status to increase case identification among population groups such as males, the youth, and those with low education.

Population Viral Load, Viremia, and Recent HIV-1 Infections: Findings From Population-Based HIV Impact Assessments (PHIAs) in Zimbabwe, Malawi, and Zambia.

BACKGROUND: HIV population viral load (PVL) can reflect antiretroviral therapy program effectiveness and transmission potential in a community. Using nationally representative data from household surveys conducted in Zimbabwe, Malawi, and Zambia in 2015-16, we examined the association between various VL measures and the probability of at least one recent HIV-1 infection in the community. METHODS: We used limiting-antigen avidity enzyme immunoassay, viral load suppression (VLS) (HIV RNA <1000 copies/mL), and antiretrovirals in the blood to identify recent HIV-1 cases. RESULTS: Among 1510 enumeration areas (EAs) across the 3 surveys, 52,036 adults aged 15-59 years resided in 1363 (90.3%) EAs with at least one HIV-positive adult consenting to interview and blood draw and whose VL was tested. Mean HIV prevalence across these EAs was 13.1% [95% confidence intervals (CI) 12.7 to 13.5]. Mean VLS prevalence across these EAs was 58.7% (95% CI: 57.3 to 60.0). In multivariable analysis, PVL was associated with a recent HIV-1 case in that EA (adjusted odds ratio: 1.4, 95% CI: 1.2 to 1.6, P = 0.001). VLS prevalence was inversely correlated with recent infections (adjusted odds ratio: 0.3, 95% CI: 0.1 to 0.6, P = 0.004). The 90-90-90 indicators, namely, the prevalence of HIV diagnosis, antiretroviral therapy coverage, and VLS at the EA level, were inversely correlated with HIV recency at the EA level. CONCLUSIONS: We found a strong association between PVL and VLS prevalence and recent HIV-1 infection at the EA level across 3 southern African countries with generalized HIV epidemics. These results suggest that population-based measures of VLS in communities may serve as a proxy for epidemic control.

Impact of Health System Inputs on Health Outcome: A Multilevel Longitudinal Analysis of Botswana National Antiretroviral Program (2002-2013).

OBJECTIVE: To measure the association between the number of doctors, nurses and hospital beds per 10,000 people and individual HIV-infected patient outcomes in Botswana. DESIGN: Analysis of routinely collected longitudinal data from 97,627 patients who received ART through the Botswana National HIV/AIDS Treatment Program across all 24 health districts from 2002 to 2013. Doctors, nurses, and hospital bed density data at district-level were collected from various sources. METHODS: A multilevel, longitudinal analysis method was used to analyze the data at both patient- and district-level simultaneously to measure the impact of the health system input at district-level on probability of death or loss-to-follow-up (LTFU) at the individual level. A marginal structural model was used to account for LTFU over time. RESULTS: Increasing doctor density from one doctor to two doctors per 10,000 population decreased the predicted probability of death for each patient by 27%. Nurse density changes from 20 nurses to 25 nurses decreased the predicted probability of death by 28%. Nine percent decrease was noted in predicted mortality of an individual in the Masa program for every five hospital bed density increase. CONCLUSION: Considerable variation was observed in doctors, nurses, and hospital bed density across health districts. Predictive margins of mortality and LTFU were inversely correlated with doctor, nurse and hospital bed density. The doctor density had much greater impact than nurse or bed density on mortality or LTFU of individual patients. While long-term investment in training more healthcare professionals should be made, redistribution of available doctors and nurses can be a feasible solution in the short term.