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INTRODUCTION: Several African countries have introduced universal health insurance (UHI) programmes. These programmes aim to extend health insurance to groups that are usually excluded, namely informal workers and the indigent. Countries use different approaches. The purpose of this article is to study their institutional characteristics and their contribution to the achievement of universal health coverage (UHC) goals. METHOD: This study is a narrative review. It focused on African countries with a UHI programme for at least 4 years. We identified 16 countries. We then compared how these UHI schemes mobilise, pool and use funds to purchase healthcare. Finally, we synthesised how all these aspects contribute to achieving the main objectives of UHC (access to care and financial protection). RESULTS: Ninety-two studies were selected. They found that government-run health insurance was the dominant model in Africa and that it produced better results than community-based health insurance (CBHI). They also showed that private health insurance was marginal. In a context with a large informal sector and a substantial number of people with low contributory capacity, the review also confirmed the limitations of contribution-based financing and the need to strengthen tax-based financing. It also showed that high fragmentation and voluntary enrolment, which are considered irreconcilable with universal insurance, characterise most UHI systems in Africa. CONCLUSION: Public health insurance is more likely to contribute to the achievement of UHC goals than CBHI, as it ensures better management and promotes the pooling of resources on a larger scale.

BACKGROUND: Until 2011, stockouts of family planning commodities were common in Senegalese public health facilities. Recognizing the importance of addressing this problem, the Government of Senegal implemented the Informed Push Model (IPM) supply system, which involves logisticians to collect facility-level stock turnover data once a month and provide contraceptive supplies accordingly. The aims of this paper were to evaluate the impact of IPM on contraceptive availability and on stockout duration. METHODS AND FINDINGS: To estimate the impact of the IPM on contraceptive availability, stock card data were obtained from health facilities selected through multistage sampling. A total number of 103 health facilities pertaining to 27 districts and nine regions across the country participated in this project. We compared the odds of contraceptive stockouts within the health facilities on the 23 months after the intervention with the 18 months before. The analysis was performed with a logistic model of the monthly time-series. The odds of stockout for any of the five contraceptive products decreased during the 23 months post-intervention compared to the 18 months pre-intervention (odds ratio, 95%CI: 0.34, 0.22-0.51). To evaluate the impact of the IPM on duration of stockouts, a mixed negative binomial zero-truncated regression analysis was performed. The IPM was not effective in reducing the duration of contraceptive stockouts (incidence rate ratio, 95%CI: 0.81, 0.24-2.7), except for the two long-acting contraceptives (intrauterine devices and implants). Our model predicted a decrease in stockout median duration from 23 pre- to 4 days post-intervention for intrauterine devices; and from 19 to 14 days for implants. CONCLUSIONS: We conclude that the IPM has resulted in greater efficiency in contraceptive stock management, increasing the availability of contraceptive methods in health facilities in Senegal. The IPM also resulted in decreased duration of stockouts for intrauterine devices and implants, but not for any of the short-acting contraception (pills and injectables).

Birth spacing has emerged since the early 1980s as a key concept to improve maternal and child health, triggering interest in birth spacing practices in low-income countries, and drawing attention to prevailing norms in favour of long birth intervals in West Africa. In Senegal, the Wolof concept of Nef, which means having children too closely spaced in time, is morally condemned and connotes a resulting series of negative implications for family well-being. While Nef and "birth spacing" intersect in key ways, including acknowledging the health benefits of longer birth intervals, they are not translations of each other, for each is embedded in distinct broader cultural and political assumptions about social relations. Most notably, proponents of the demographic concept of birth spacing assume that the practice of using contraception after childbearing to postpone births could contribute to "empowering" women socially. In Senegal, by contrast, preventing Nef (or short birth intervals) is also viewed as strengthening family well-being by allowing women to care more fully for their family. This paper draws on policy documents and interviews to explore women's and men's understanding of Nef, and in turn critically reflect on the demographic concept of birth spacing. Our findings reinforce the relevance of the concept of birth spacing to engage with women and men around family planning services in Senegal. Accounts of the Nef taboo in Senegal also show that social norms stigmatising short birth intervals can legitimise constraints faced by women on control of their body.

INTRODUCTION: Understanding how to deliver interventions more effectively is a growing emphasis in Global Health. Simultaneously, health system strengthening is a key component to improving delivery. As a result, it is challenging to evaluate programme implementation while reflecting real-world complexity. We present our experience in using a health systems modelling approach as part of a mixed-methods evaluation and describe applications of these models. METHODS: We developed a framework for how health systems translate financial inputs into health outcomes, with in-country and international experts. We collated available data to measure framework indicators and developed models for malaria in Democratic Republic of the Congo (DRC), and tuberculosis in Guatemala and Senegal using Bayesian structural equation modelling. We conducted several postmodelling analyses: measuring efficiency, assessing bottlenecks, understanding mediation, analysing the cascade of care and measuring subnational effectiveness. RESULTS: The DRC model indicated a strong relationship between shipment of commodities and utilisation thereof. In Guatemala, the strongest model coefficients were more evenly distributed. Results in Senegal varied most, but pathways related to community care had the strongest relationships. In DRC, we used model results to estimate the end-to-end cost of delivering commodities. In Guatemala, we used model results to identify potential bottlenecks and understand mediation. In Senegal, we used model results to identify potential weak links in the cascade of care, and explore subnationally. CONCLUSION: This study demonstrates a complementary modelling approach to traditional evaluation methods. Although these models have limitations, they can be applied in a variety of ways to gain greater insight into implementation and functioning of health service delivery.