Like many low- and middle-income countries, South Africa established a dedicated HIV monitoring and evaluation (M&E) system to track the national response to HIV/AIDS. Its implementation in the public health sector has however not been assessed. Since responsibility for health services management lies at the district (sub-national) level, this study aimed to assess the extent to which the HIV M&E system is integrated with the overall health system M&E function at district level. This study describes implementation of the HIV M&E system, determines the extent to which it is integrated with the district health information system (DHIS), and evaluates factors influencing HIV M&E integration.

COVID-19 is imposing massive health, social and economic costs. While many developed countries have started vaccinating, most African nations are waiting for vaccine stocks to be allocated and are using clinical public health (CPH) strategies to control the pandemic. The emergence of variants of concern (VOC), unequal access to the vaccine supply and locally specific logistical and vaccine delivery parameters, add complexity to national CPH strategies and amplify the urgent need for effective CPH policies. Big data and artificial intelligence machine learning techniques and collaborations can be instrumental in an accurate, timely, locally nuanced analysis of multiple data sources to inform CPH decision-making, vaccination strategies and their staged roll-out. The Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC) has been established to develop and employ machine learning techniques to design CPH strategies in Africa, which requires ongoing collaboration, testing and development to maximize the equity and effectiveness of COVID-19-related CPH interventions.

Background: The Integrated Chronic Disease Management (ICDM) model has been implemented in South Africa to enhance quality of clinical services in Primary Healthcare (PHC) clinics in a context of a high prevalence of chronic conditions and multi-morbidity. This study aimed to assess the implementation fidelity (adherence to guidelines) of the ICDM model. Methods: A cross-sectional study in 16 PHC clinics in two health districts in South Africa: Dr. Kenneth Kaunda (DKK) and West Rand (WR). A fidelity assessment tool with 89 activities and maximum score of 158 was developed from the four interrelated ICDM model components: facility re-organization, clinical supportive management, assisted self-management and strengthening of support systems. Value stream mapping of patient flow was conducted to analyse waiting time and identify operational inefficiencies. ICDM items were scored based on structured observations, facility document reviews and structured questionnaires completed by healthcare workers. Fidelity scores were summarized using medians and proportions and compared by facilities and districts using Chi-Square and Kruskal Wallis test. Results: The monthly patient headcount over a six-month period in these 16 PHC clinics was a median of 2430 (IQR: 1685–2942) individuals over 20 years. The DKK district had more newly diagnosed TB patients per month [median 5.5 (IQR: 4.00–9.33) vs 2.0 (IQR: 1.67–2.92)], and fewer medical officers per clinic [median 1 (IQR: 1–1) vs 3.5 (IQR:2–4.5)] compared to WR district. The median fidelity scores in both districts for facility re-organization, clinical supportive management, assisted self-management and strengthening of support systems were 78% [29/37, IQR: 27–31)]; 77% [30/39 (IQR: 27–34)]; 77% [30/39 (IQR: 28–34)]; and 80% [35/44 (IQR: 30–37)], respectively. The overall median implementation fidelity of the ICDM model was 79% (125/158, IQR, 117–132); WR was 80% (126/158, IQR, 123–132) while DKK was 74% (117/158, IQR, 106–130), p = 0.1409. The lowest clinic fidelity score was 66% (104/158), while the highest was 86% (136/158). A patient flow analysis showed long (2–5 h) waiting times and one stream of care for acute and chronic services. Conclusion: There was some variability of scores on components of the ICDM model by PHC clinics. More research is needed on contextual adaptations of the model.

South Africa's cervical screening policy recommends three free Pap smears at ten-year intervals for all women over 30 years of age, aiming to achieve 70% coverage by 2010 by targeting the age group most at risk of developing pre-cancerous cervical lesions. Attaining wide coverage requires an adequate supply of motivated and supported public sector health workers with appropriate training and skills, working in a functional health system. Given the dearth of doctors in South Africa, professional nurses were tasked with performing the bulk of Pap smears at primary care level. Coverage remains sub-optimal and a significant proportion of women with precursor lesions do not receive treatment. Further, health system strengthening - essential for cytology-based screening - has not happened. Research to evaluate alternative screening technologies has proliferated in recent years, but regrettably, strengthening of the health system required to make the new technology work has not received similar attention. Using the South African experience, this article argues that technological interventions and innovations alone are not sufficient to improve cervical screening programmes. Task-shifting is limited unless other human resource concerns (e.g. training, increasing demands on personnel, attrition, and skills mix) are concurrently addressed within a comprehensive workforce development strategy, alongside work to make the health care delivery system functional.

Background and methodology South Africa's Choice on Termination of Pregnancy Act of 1996 provides for safe termination of pregnancy (TOP) in designated facilities in the public and private health sectors. In 2001, mifepristone-misoprostol medical abortion was approved for TOP up to 56 days, but this method is not yet available in the public sector. Information on the operational requirements for integrating mifepristone-misoprostol medical abortion into South Africa's public sector safe abortion services is required to guide policy decisions. This study trained health workers to provide medical abortion to 290 women attending three TOP sites. Prospective data were collected to ascertain women's experience of the method, pregnancy outcome, women's and provider's acceptability of the method, and the operational requirements for providing medical abortion. Results Twenty-nine (10%) women were lost to follow-up; 261 (90%) women had a confirmed abortion outcome, of whom 93% had a complete abortion. Given the option, the vast majority of women opted to use misoprostol at home. No serious side effects were reported; pain (66%), and heavy bleeding (67%) were the most common side effects. Most (96%) women were very satisfied with the experience. Health providers were satisfied with providing medical abortion and recommended its introduction to complement existing surgical TOP services. Discussion and conclusion This study demonstrates that integration of medical abortion into public sector services is feasible. The results of this study will guide policy decisions about integrating medical abortion into South Africa's public sector safe abortion services, within the context of the existing enabling legislative framework.

Background: Studies have shown that social networks influence health behaviors, including the adoption of health innovations. This study explored the potential for early adopters of community health worker-delivered injectable contraceptives (CHWDIC) to influence the uptake of this innovation by women in their social networks. Methods: This Social Network Analysis (SNA) study was conducted in Gombe, Nigeria. Twenty women who were early adopters of the CHWDIC were recruited. Each participant (ego) listed ten women of reproductive age (alters) with whom they related. An interviewer-administered questionnaire was used to collect from each ego, data about the nature of her relationship with each alter (ego-alter relationship), whether she talked about CHWDIC with each alter, and whether her listed alters talked to each other about CHWDIC (alter-alter relationship). Data were also collected on age, marital status and education level for each ego and alter. Data were analyzed with UCINET social network analysis software. Variables of interest include homophilia (similarity), density (number of ties as a proportion of possible ties), degree (popularity) and betweeness (frequency of connecting actor pairs who otherwise might not communicate). Results: There were 20 egos and 200 alters. Between two thirds (alters) and three quarters (egos) of the women were 30 years or older. All of the egos and 196 (98%) of alters were married. Most of the networks had similar (homophilic) actors according to certain sociodemographic characteristics - ethnicity, age, education and type of marriage. More than 90% of the networks had density greater than 50%, suggesting high cohesion in most networks. The majority of actors in these networks used injectable contraceptives. In some of the networks, few actors with the highest prominence (betweeness centrality) were not users of injectable contraceptives. Conclusion: The study illustrates the application and feasibility of ego SNA in identifying champions and opinion leaders among women of reproductive age group. It also shows the influence of social networks on the diffusion of community-based injectable contraceptives, and how homophilic and dense networks may have positive health externality. The interrelatedness of network members’ decision to adopt a health innovation was also demonstrated by the findings of this study.