Evaluation of the national clinical sentinel surveillance system for sexually transmitted infections in South Africa: Analysis of provincial and district-level data

Background. Globally, >1 million new cases of curable sexually transmitted infections (STIs) are estimated to occur daily, an alarming rate that has prevailed for over a decade. Modelled STI prevalence estimates for South Africa (SA) are among the highest globally. Robust STI surveillance systems have implications for policy and planning, antimicrobial stewardship and prevention strategies, and are critical in stemming the tide of STIs. Objectives. To evaluate the STI clinical sentinel surveillance system (STI CSSS) in SA, to describe the population incidence of four designated STI syndromes in males and females ≥15 years, and to provide recommendations for strengthening the STI CSSS. Methods. This was a retrospective analysis of the STI CSSS in SA. Distribution of the primary healthcare facilities designated as STI CSSS sites was described, taking into account provincial population distribution and headcount coverage of STI CSSS facilities. Reporting compliance was evaluated to determine completion of data reporting. Further analysis was undertaken for those provinces that had good reporting compliance over a 12-month period. Population-level and demographic STI syndrome incidence were estimated from CSSS data using case reports of male urethritis syndrome (MUS) as a proxy for data extrapolation. Results. Reporting compliance exceeded 70% for seven of the nine provinces. STI syndromes with the highest incidence were MUS and vaginal discharge syndrome (VDS). The 20 - 24 years age group had the highest STI incidence, at least double the incidence estimated in the other two age groups. Overall STI incidence in females was higher than among males in all provinces, except Limpopo and Western Cape. The 15 - 19 years age group had the most prominent gender disparity, with the national STI incidence in females 70% higher than in males. District-level analysis revealed high regional STI incidence even in provinces with lower overall incidence. Conclusion. The STI CSSS is pivotal to epidemiological monitoring and proactive management of STIs, especially in view of the high HIV prevalence in SA. CSSS processes and facility selection should be reviewed and revised to be representative and responsive to the current STI needs of the country, with biennial analysis and reporting to support evidence-based policy development and targeted implementation

Track E Implementation Science, Health Systems and Economics

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138412/1/jia218443.pd

A systematic review and meta-analysis of the evidence for community-based HIV testing on men's engagement in the HIV care cascade.

OBJECTIVE: Men with HIV are less likely than women to know their status, be on antiretroviral therapy, and be virally suppressed. This review examined men's community-based HIV testing services (CB-HTS) outcomes. DESIGN: Systematic review and meta-analysis. METHODS: We searched seven databases and conference abstracts through July 2018. We estimated pooled proportions and/or risk ratios (for meta-analyses) for each outcome using random effects models. RESULTS: 188 studies met inclusion criteria. Common testing models included targeted outreach (e.g. mobile testing), home-based testing, and testing at stand-alone community sites. Across 25 studies reporting uptake, 81% (CI: 75-86%) of men offered testing accepted it. Uptake was higher among men reached through CB-HTS than facility-based HTS (RR = 1.39; CI: 1.13-1.71). Over 69% (CI: 64-71%) of those tested through CB-HTS were men, across 184 studies. Across studies reporting new HIV-positivity among men (n = 18), 96% were newly diagnosed (CI: 77-100%). Across studies reporting linkage to HIV care (n = 8), 70% (CI: 36-103%) of men were linked to care. Across 57 studies reporting sex-disaggregated data for CB-HTS conducted among key populations, men's uptake was high (80%; CI: 70-88%) and nearly all were newly diagnosed and linked to care (95%; CI: 94-100%; and 94%; CI: 88-100%, respectively). CONCLUSION: CB-HTS is an important strategy for reaching undiagnosed men with HIV from the general population and key population groups, particularly using targeted outreach models. When compared to facility-based HIV testing services, men tested through CB-HTS are more likely to uptake testing, and nearly all men who tested positive through CB-HTS were newly diagnosed. Linkage to care may be a challenge following CB-HTS, and greater efforts and research are needed to effectively implement testing strategies that facilitate rapid ART initiation and linkage to prevention services

Secondary distribution of HIV self-test kits by HIV index and antenatal care clients: implementation and costing results from the STAR Initiative in South Africa

Abstract Background Partner-delivered HIV self-testing kits has previously been highlighted as a safe, acceptable and effective approach to reach men. However, less is known about its real-world implementation in reaching partners of people living with HIV. We evaluated programmatic implementation of partner-delivered self-testing through antenatal care (ANC) attendees and people newly diagnosed with HIV by assessing use, positivity, linkage and cost per kit distributed. Methods Between April 2018 and December 2019, antenatal care (ANC) clinic attendees and people or those newly diagnosed with HIV clients across twelve clinics in three cities in South Africa were given HIVST kits (OraQuick Rapid HIV-1/2 Antibody Test, OraSure Technologies) to distribute to their sexual partners. A follow-up telephonic survey was administered to all prior consenting clients who were successfully reached by telephone to assess primary outcomes. Incremental economic costs of the implementation were estimated from the provider’s perspective. Results Fourteen thousand four hundred seventy-three HIVST kits were distributed – 10,319 (71%) to ANC clients for their male partner and 29% to people newly diagnosed with HIV for their partners. Of the 4,235 ANC clients successfully followed-up, 82.1% (3,475) reportedly offered HIVST kits to their male partner with 98.1% (3,409) accepting and 97.6% (3,328) using the kit. Among ANC partners self-testing, 159 (4.8%) reported reactive HIVST results, of which 127 (79.9%) received further testing; 116 (91.3%) were diagnosed with HIV and 114 (98.3%) initiated antiretroviral therapy (ART). Of the 1,649 people newly diagnosed with HIV successfully followed-up; 1,312 (79.6%) reportedly offered HIVST kits to their partners with 95.8% (1,257) of the partners accepting and 95.9% (1,206) reported that their partners used the kit. Among these index partners, 297 (24.6%) reported reactive HIVST results of which 261 (87.9%) received further testing; 260 (99.6%) were diagnosed with HIV and 258 (99.2%) initiated ART. The average cost per HIVST distributed in the three cities was US$7.90, US$11.98, and US$14.81, respectively. Conclusions Partner-delivered HIVST in real world implementation was able to affordably reach many male partners of ANC attendees and index partners of people newly diagnosed with HIV in South Africa. Given recent COVID-19 related restrictions, partner-delivered HIVST provides an important strategy to maintain essential testing services

Additional file 2 of Secondary distribution of HIV self-test kits by HIV index and antenatal care clients: implementation and costing results from the STAR Initiative in South Africa

Data collection form for "Secondary distribution of HIV self-test kits by HIV index and antenatal care clients: implementation and costing results from the STAR Initiative in South Africa"

Additional file 1 of Secondary distribution of HIV self-test kits by HIV index and antenatal care clients: implementation and costing results from the STAR Initiative in South Africa

Sample data collection forms used by counsellors for Antenatal Care (ANC) & Index Follow-up

Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa

HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. However, there has been little reflection on how the HIV modelling field might develop in future. HIV modelling should more routinely align with national government and ministry of health priorities, recognising their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. Importance should also be placed on ensuring collaboration between modellers, and that joint approaches to addressing modelling questions, becomes the norm rather than the exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritised for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection, and analysis. HIV modelling should increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another might lead to worse health overall. Such integration might also enhance partnership with national governments whose mandates extend beyond HIV. Finally, we see a need for there to be substantial and equitable investment in capacity strengthening within African countries, so that African researchers will increasingly be leading modelling exercises. Building a critical mass of expertise, strengthened through external collaboration and knowledge exchange, should be the ultimate goal

Perspectives on the use of modelling and economic analysis to guide HIV programmes in sub-Saharan Africa

HIV modelling and economic analyses have had a prominent role in guiding programmatic responses to HIV in sub-Saharan Africa. However, there has been little reflection on how the HIV modelling field might develop in future. HIV modelling should more routinely align with national government and ministry of health priorities, recognising their legitimate mandates and stewardship responsibilities, for HIV and other wider health programmes. Importance should also be placed on ensuring collaboration between modellers, and that joint approaches to addressing modelling questions, becomes the norm rather than the exception. Such an environment can accelerate translation of modelling analyses into policy formulation because areas where models agree can be prioritised for action, whereas areas over which uncertainty prevails can be slated for additional study, data collection, and analysis. HIV modelling should increasingly be integrated with the modelling of health needs beyond HIV, particularly in allocative efficiency analyses, where focusing on one disease over another might lead to worse health overall. Such integration might also enhance partnership with national governments whose mandates extend beyond HIV. Finally, we see a need for there to be substantial and equitable investment in capacity strengthening within African countries, so that African researchers will increasingly be leading modelling exercises. Building a critical mass of expertise, strengthened through external collaboration and knowledge exchange, should be the ultimate goal