Sociodemographic Inequalities in Health Insurance Ownership among Women in Selected Francophone Countries in Sub-Saharan Africa

Health insurance coverage among women of reproductive age in rural Ghana: policy and equity implications

BACKGROUND

Globally, health insurance has been identified as a key component of healthcare financing. The implementation of health insurance policies in low and middle-income countries has led to a significant increase in access to healthcare services in these countries. This study assessed health insurance coverage and its associated factors among women of reproductive age living in rural Ghana.

METHODS

This study used a nationally representative data from the 2017/2018 Ghana Multiple Indicator Cluster Survey (GMICS) and included 7340 rural women aged 15-49 years. Bivariate and multivariable logistic regression models were developed to assess the association between the explanatory and the outcome variable. Statistical significance was considered at p = 0.05.

RESULTS

The overall prevalence of health insurance coverage among rural women in Ghana was 51.9%. Women with secondary (aOR = 1.72, 95% CI: 1.38-2.14) and higher education (aOR = 4.57, 95% CI: 2.66-7.84) were more likely to have health insurance coverage than those who had no formal education. Women who frequently listened to radio (aOR = 1.146, 95% CI: 1.01-1.30) were more likely to have health insurance coverage than those who did not. Women who had a child (aOR = 1.81, 95% CI: 1.50-2.17), two children (aOR = 1.59, 95% CI: 1.27-1.98), three children (aOR = 1.41, 95% CI: 1.10-1.80), and five children (aOR = 1.36, 95% CI: 1.03-1.79) were more likely to have health insurance coverage than those who had not given birth. Women who were pregnant (aOR = 3.52, 95% CI: 2.83-4.38) at the time of the survey, and women within the richest households (aOR = 3.89, 95% CI: 2.97-5.10) were more likely to have health insurance coverage compared to their other counterparts. Women in the Volta region (aOR = 1.36, 95% CI: 1.02-1.81), Brong Ahafo region (aOR = 2.82, 95% CI: 2.20-3.60), Northern region (aOR = 1.32, 95% CI: 1.02-1.70), Upper East region (aOR = 2.13, 95% CI: 1.63-2.80) and Upper West region (aOR = 1.56, 95% CI: 1.20-2.03) were more likely to have health insurance coverage than those in the Western region.

CONCLUSION

Although more than half of women were covered by health insurance, a significant percentage of them were uninsured, highlighting the need for prompt policy actions to improve coverage levels for insurance. It was found that educational level, listening to radio, parity, pregnancy status, wealth quintile, and region of residence were factors associated with health insurance coverage. We recommend better targeting and prioritization of vulnerability in rural areas and initiate policies that improve literacy and community participation for insurance programs. Further studies to establish health policy measures and context specific barriers using experimental designs for health insurance enrolments are required.

Inequality and private health insurance in Zimbabwe: history, politics and performance

INTRODUCTION

Zimbabwe has one of the highest rates of private health insurance (PHI) expenditures as a share of total health expenditures in the world. The perfomamce of PHI, known as Medical Aid Societies in Zimbabwe, requires close monitoring since market failures and weaknesses in public policy and regulation can affect overall health system performance. Despite the considerable influence of politics (stakeholder interests) and history (past events) in shaping PHI design and implementation, these factors are frequently sidelined when analyzing PHI in Zimbabwe. This study considers the roles of history and politics in shaping PHI and determining its impact on health system performance in Zimbabwe.

METHODS

We reviewed 50 sources of information using Arksey & O'Malley's (2005) methodological framework. To frame our analysis, we used a conceptual framework that integrates economic theory with political and historical aspects developed by Thomson et al. (2020) to analyze PHI in diverse contexts.

RESULTS

We present a timeline of the history and politics of PHI in Zimbabwe from the 1930s to present. Zimbabwe's current PHI coverage is segmented along socio-economic lines due to a long history of elitist and exclusionary politics in coverage patterns. While PHI was considered to perform relatively well up to the mid-1990s, the economic crisis of the 2000s eroded trust among insurers, providers, and patients. That culminated in agency problems which severely lessened PHI coverage quality with concurrent deterioration in efficiency and equity-related performance dimensions.

CONCLUSION

The present design and performance of PHI in Zimbabwe is primarily a function of history and politics rather than informed choice. Currently, PHI in Zimbabwe does not meet the evaluative criteria of a well-performing health insurance system. Therefore, reform efforts to expand PHI coverage or improve PHI performance must explicitly consider the relevant historical, political and economic aspects for successful reformation.

Poverty, education and health insurance coverage among women of reproductive ages in the Democratic Republic of the Congo: a cross-sectional and multilevel analysis

OBJECTIVE

To investigate inequalities of health insurance coverage (outcome) at subnational level, and the effects of education and poverty on the outcome.

DESIGN

Secondary analysis of Demographic and Health Surveys. The outcome variable was health insurance ownership.

SETTING

The Democratic Republic of the Congo.

SUBJECTS

Women aged 15-49 years (n=18 827).

RESULTS

Findings indicated significant spatial variations of the health insurance ownership which ranged from 1.2% in Bandundu and Kasaï Oriental to 15.5% in Kinshasa the Capital City. Furthermore, findings showed that an additional year of women education increased by 10% the chance of health insurance ownership (adjusted OR, AOR 1.098; 95% CI 1.065 to 1.132). Finally, living in better-off households increased by 150% the chance of owing a health insurance (AOR 2.501; 95% CI 1.620 to 3.860) compared with women living in poor households.

CONCLUSIONS

Given the low levels of health insurance coverage, the Democratic Republic of the Congo will not reach the Sustainable Development Goal 3, aimed at improving maternal and child health unless a serious programmatic health shift is undertaken in the country to tackle inequalities among poor and uneducated women via universal health coverage.