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BACKGROUND: Program Science is an iterative, multi-phase research and program framework where programs drive the scientific inquiry, and both program and science are aligned towards a collective goal of improving population health. DISCUSSION: To achieve this, Program Science involves the systematic application of theoretical and empirical knowledge to optimize the scale, quality and impact of public health programs. Program Science tools and approaches developed for strategic planning, program implementation, and program management and evaluation have been incorporated into HIV and sexually transmitted infection prevention programs in Kenya, Nigeria, India, and the United States. CONCLUSION: In this paper, we highlight key scientific contributions that emerged from the growing application of Program Science in the field of HIV and STI prevention, and conclude by proposing future directions for Program Science.
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BACKGROUND: Female sex workers (FSWs) face a significant and persistent risk of contracting HIV. While evidence indicates high rates of pregnancy among FSWs in sub-Saharan Africa, studies on the coverage of HIV testing during pregnancy among them are sparse. The objective of this study was to estimate the prevalence of prenatal HIV testing and determine the associated factors among FSWs in Nigeria. METHODS: This study was a secondary data analysis of the 2020 Integrated Biological & Behavioural Surveillance Survey (IBBSS) among key populations in Nigeria. We performed weighted descriptive statistics and multivariable binary logistic regression to assess the associations between prenatal HIV testing and sociodemographic characteristics, risk behaviours, HIV knowledge and risk awareness, stigma, and access to healthcare. RESULTS: Of the 1598 FSWs included in the study, 71.0% (95%CI = 68.7%-73.1%) had HIV testing during their last pregnancy. In the regression model, tertiary education (aOR = 2.98, 95%CI = 1.48-6.01), consistent condom use (aOR = 1.95, 95%CI = 1.39-2.75), and receipt of antenatal care (aOR = 35.52, 95%CI = 23.40-53.92) were associated with higher odds of prenatal HIV testing. Compared with the South South geopolitical zone, FSW residing in South East (aOR = 3.38, 95%CI = 1.80-6.35), South West (aOR = 2.97, 95%CI = 1.88-4.68), North Central (aOR = 4.43, 95%CI = 2.80-7.01), North East (aOR = 4.22, 95%CI = 1.64-10.34), North West (aOR = 4.40, 95%CI = 2.59-7.48) had higher odds of reporting prenatal HIV testing. However, being a non-brothel-based FSW (aOR = 0.66, 95%CI = 0.47-0.92), and engaging in sex work during pregnancy (aOR = 0.45, 95%CI = 0.31-0.66) were significantly associated with lower odds of prenatal HIV testing. CONCLUSIONS: The prenatal HIV testing among FSWs in this study was suboptimal. The results highlight the need to improve access to antenatal care and implement regional and typology-specific interventions to bridge the gap in prenatal HIV testing among FSWs.
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INTRODUCTION: Effective HIV prevention programme coverage is necessary to achieve Nigeria's goal of ending the epidemic by 2030. Recent evidence highlights gaps in service coverage and utilization across the country. The Effective Programme Coverage framework is a Programme Science tool to optimize a programme's population-level impact by examining gaps in programme coverage using data generated through programme-embedded research and learning. We apply the framework using Integrated Biological and Behavioural Surveillance Survey (IBBSS) data from Nigeria to examine coverage of four prevention interventions-condoms, HIV testing, and needle and syringe programmes (NSP)-among four key population groups-female sex workers (FSW), men who have sex with men (MSM), people who inject drugs (PWID) and transgender people. METHODS: Data from Nigeria's 2020 IBBSS, implemented in 12 states, were analysed to examine HIV prevention programme coverage among key populations. For each key population group and prevention intervention of interest, weighted IBBSS data were used to retrospectively generate coverage cascades that identify and quantify coverage gaps. Required coverage targets were informed by targets articulated in Nigeria's National HIV/AIDS Strategic Framework or, in their absence, by guidelines from policy normative bodies. Availability-, outreach- and utilization coverage proxy indicators were defined using variables from IBBSS data collection tools. Sankey diagrams are presented to visualize pathways followed by participants between coverage cascade steps. RESULTS: Required coverage targets were missed for HIV testing and NSP among all key population groups. Condom availability coverage surpassed required coverage targets among FSW and MSM, while utilization coverage only among FSW exceeded the 90% required coverage target. Outreach coverage was low for all key population groups, falling below all required coverage targets. CONCLUSIONS: Our findings identify critical gaps in HIV prevention programme coverage for key populations in Nigeria and demonstrate non-linear movement across coverage cascades, signalling the need for innovative solutions to optimize coverage of prevention services. Programme-embedded research is required to better understand how key population groups in Nigeria access and use different HIV prevention services so that programmes, policies and resource allocation decisions can be optimized to achieve effective programme coverage and population-level impact.