Effects of a free health insurance programme for the poor on health service utilisation and financial protection in Senegal

Uptake of and willingness to pay for health insurance in rural Senegal: a reinforcement effect

Introduction

Expanding health insurance is viewed as a core strategy for achieving universal health coverage. In Senegal, as in many other developing countries, this strategy has been implemented by creating community-based health insurance (CBHI) schemes with voluntary enrolment and a fixed premium paid by enrollees. Yet little is known about how the individuals' experience of CBHI enrolment further influences their willingness to pay (WTP). In this paper, we test the existence of a reinforcement effect between effective enrolment in a CBHI and WTP for health insurance by analysing their mutual relationship.

Methods

We rely on primary survey data collected in 2019-2020 in the rural area of Niakhar in Senegal. We use an econometric methodology involving: (1) Heckman-type selection models to estimate the determinants of CBHI membership conditioned on awareness of health insurance, addressing the issue of sample selection due to differential awareness and (2) a simultaneous equation model to jointly estimate the uptake and WTP for health insurance, addressing the issue of endogeneity due to reverse causality between both variables. We also focus on the roles that informational and geographical barriers, as well as individual risk preference and trust, play in both outcomes.

Results

The final sample includes 1607 individuals. Results show that WTP further increases with the individuals' direct experience in a CBHI scheme, despite an environment characterised by low enrolment rates. We also provide evidence for a U-shaped relationship between risk tolerance and WTP for health insurance.

Conclusion

We provide novel evidence on a reinforcement effect of enrolment in a CBHI on WTP for health insurance, with the presence of a substantial consumer surplus among enrolled individuals at the actual premium. Our findings suggest that policies aiming at improving health insurance awareness should foster the demand for health insurance in rural Senegal.

Scaling Up Departmental Health Insurance Units in Senegal: A Mixed-Method Study

In response to the failure of community-based health insurance (CBHI) at the municipal level, some African countries are implementing district or departmental CBHIs to improve universal health coverage. After creating two CBHIs at the departmental level in 2014, Senegal launched a campaign to disseminate the model in 2022. This article presents the stakeholders' perspectives on the factors and challenges of scaling up CBHI departmentalization in Senegal. The study uses a mixed-methods approach, utilizing concept mapping and a focus group to examine scaling up departmentalization. The sample size consists of 22 individuals involved in the process. The quantitative analysis includes hierarchical cluster analysis, multidimensional scaling analysis, and the Pearson coefficient test. The qualitative analysis involves content analysis to triangulate the findings. Participants identified 125 factors to consider for the departmentalization of CBHI. They were categorized into nine clusters according to their degree of importance (I) and ease to organize (F): service package (I: 4.07; F: 2,26), communication (I: 4.05; F: 2.96), governance (I: 3.96; F: 2,94), human and logistical resources (I: 3.94; F: 2,82), financing (I: 3.90; F: 2,31), involvement of the authorities (I: 3.82; F: 2.75), community involvement (I: 3.81; F: 2.76), membership (I: 3.70; F: 2.24, strategic planning and implementation (I: 3.57; F: 2,62). The main challenges faced were a process perceived as precipitous and vertical and needing more negotiation and consultation. The conditions for accompaniment and public funding availability need to be sufficiently considered. The study proposes avenues for action to promote the scaling up of CBHI departmentalization in Senegal.

Improving healthcare accessibility for pregnant women and children in the context of health system strengthening initiatives and terrorist attacks in Central Mali: a controlled interrupted time series analysis

INTRODUCTION

The Health and Social Development Program of the Mopti Region (PADSS2) project, launched in Mali's Mopti region, targeted Universal Health Coverage (UHC). The project addressed demand-side barriers by offering an additional subsidy to household contributions, complementing existing State support (component 1). Component 2 focused on supply-side improvements, enhancing quality and coverage. Component 3 strengthened central and decentralised capacity for planning, supervision and UHC reflection, integrating gender mainstreaming. The study assessed the impact of the project on maternal and child healthcare use and explored how rising terrorist activities might affect these health outcomes.

METHODS

The impact of the intervention on assisted births, prenatal care and curative consultations for children under 5 was analysed from January 2016 to December 2021. This was done using an interrupted time series analysis, incorporating a comparison group and spline regression.

RESULTS

C1 increased assisted deliveries by 0.39% (95% CI 0.20 to 0.58] and C2 by 1.52% (95% CI 1.36 to 1.68). C1-enhanced first and fourth antenatal visits by 1.37% (95% CI 1.28 to 1.47) and 2.07% (95% CI 1.86 to 2.28), respectively, while C2 decreased them by 0.53% and 1.16% (95% CI -1.34 to -0.99). For child visits under 5, C1 and C2 showed increases of 0.32% (95% CI 0.20 to 0.43) and 1.36% (95% CI 1.27 to 1.46), respectively. In areas with terrorist attacks, child visits decreased significantly by 24.69% to 39.86% compared with unexposed areas.

CONCLUSION

The intervention had a limited impact on maternal and child health, falling short of expectations for a health system initiative. Understanding the varied effects of terrorism on healthcare is key to devising strategies that protect the most vulnerable in the system.

The impact of health insurance on maternal and reproductive health service utilization and financial protection in low- and lower middle-income countries: a systematic review of the evidence

BACKGROUND

Low- and middle-income countries have committed to achieving universal health coverage (UHC) as a means to enhance access to services and improve financial protection. One of the key health financing reforms to achieve UHC is the introduction or expansion of health insurance to enhance access to basic health services, including maternal and reproductive health care. However, there is a paucity of evidence of the extent to which these reforms have had impact on the main policy objectives of enhancing service utilization and financial protection. The aim of this systematic review is to assess the existing evidence on the causal impact of health insurance on maternal and reproductive health service utilization and financial protection in low- and lower middle-income countries.

METHODS

The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search included six databases: Medline, Embase, Web of Science, Cochrane, CINAHL, and Scopus as of 23rd May 2023. The keywords included health insurance, impact, utilisation, financial protection, and maternal and reproductive health. The search was followed by independent title and abstract screening and full text review by two reviewers using the Covidence software. Studies published in English since 2010, which reported on the impact of health insurance on maternal and reproductive health utilisation and or financial protection were included in the review. The ROBINS-I tool was used to assess the quality of the included studies.

RESULTS

A total of 17 studies fulfilled the inclusion criteria. The majority of the studies (82.4%, n = 14) were nationally representative. Most studies found that health insurance had a significant positive impact on having at least four antenatal care (ANC) visits, delivery at a health facility and having a delivery assisted by a skilled attendant with average treatment effects ranging from 0.02 to 0.11, 0.03 to 0.34 and 0.03 to 0.23 respectively. There was no evidence that health insurance had increased postnatal care, access to contraception and financial protection for maternal and reproductive health services. Various maternal and reproductive health indicators were reported in studies. ANC had the greatest number of reported indicators (n = 10), followed by financial protection (n = 6), postnatal care (n = 5), and delivery care (n = 4). The overall quality of the evidence was moderate based on the risk of bias assessment.

CONCLUSION

The introduction or expansion of various types of health insurance can be a useful intervention to improve ANC (receiving at least four ANC visits) and delivery care (delivery at health facility and delivery assisted by skilled birth attendant) service utilization in low- and lower-middle-income countries. Implementation of health insurance could enable countries' progress towards UHC and reduce maternal mortality. However, more research using rigorous impact evaluation methods is needed to investigate the causal impact of health insurance coverage on postnatal care utilization, contraceptive use and financial protection both in the general population and by socioeconomic status.

TRIAL REGISTRATION

This study was registered with Prospero (CRD42021285776).

Health and health system effects on poverty: A narrative review of global evidence

Ill-health causes poverty. The effect runs through multiple mechanisms that span lifetimes and cross generations. Health systems can reduce poverty by improving health and weakening links from ill-health to poverty. This paper maps routes through which ill-health can cause poverty and identifies those that are potentially amenable to health policy. The review confirms that ill-health is an important contributor to poverty and it finds that the effect through health-related loss of earnings is often larger than that through medical expenses. Both effects are smaller in countries that are closer to universal health coverage and have higher social safety nets. The paper also reviews evidence from low- and middle-income countries (LMICs) and the United States (US) on the poverty-reduction effectiveness of public health insurance (PubHI) for low-income households. This reveals that PubHI does not always deliver financial protection to its targeted population in LMICs. Countries that have succeeded in achieving this goal often combine extension of coverage with supply-side interventions to build capacity and avoid perverse provider incentives in response to insurance. In the US, PubHI is effective in reducing poverty by shielding low-income households with children from healthcare costs and, consequently, generating long-run improvements in health that increase lifetime earnings. Poverty reduction is a potentially important co-benefit of health systems.

Predicting health services utilization using a score of perceived barriers to medical care: evidence from rural Senegal

BACKGROUND

Ensuring access to healthcare services is a key element to achieving the Sustainable Development Goal 3 of "promoting healthy lives and well-being for all" through Universal Health Coverage (UHC). However, in the context of low- and middle-income countries, most studies focused on financial protection measured through catastrophic health expenditures (CHE), or on health services utilization among specific populations exhibiting health needs (such as pregnancy or recent sickness).

METHODS

This study aims at building an individual score of perceived barriers to medical care (PBMC) in order to predict primary care utilization (or non-utilization). We estimate the score on six items: (1) knowing where to go, (2) getting permission, (3) having money, (4) distance to the facility, (5) finding transport, and (6) not wanting to go alone, using individual data from 1787 adult participants living in rural Senegal. We build the score via a stepwise descendent explanatory factor analysis (EFA), and assess its internal consistency. Finally, we assess the construct validity of the factor-based score by testing its association (univariate regressions) with a wide range of variables on determinants of healthcare-seeking, and evaluate its predictive validity for primary care utilization.

RESULTS

EFA yields a one-dimensional score combining four items with a 0.7 Cronbach's alpha indicating good internal consistency. The score is strongly associated-p-values significant at the 5% level-with determinants of healthcare-seeking (including, but not limited to, sex, education, marital status, poverty, and distance to the health facility). Additionally, the score can predict non-utilization of primary care at the household level, utilization and non-utilization of primary care following an individual's episode of illness, and utilization of primary care during pregnancy and birth. These results are robust to the use of a different dataset.

CONCLUSION

As a valid, sensitive, and easily documented individual-level indicator, the PBMC score can be a complement to regional or national level health services coverage to measure health services access and predict utilization. At the individual or household level, the PBMC score can also be combined with conventional metrics of financial risk protection such as CHE to comprehensively document deficits in, and progress towards UHC.