Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
Center for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
BMJ Glob Health. 2021 Apr;6(4). doi: 10.1136/bmjgh-2020-004712.
Low/middle-income countries (LMICs) in sub-Saharan Africa (SSA) are increasingly turning to public contributory health insurance as a mechanism for removing financial barriers to access and extending financial risk protection to the population. Against this backdrop, we assessed the level and inequality of population coverage of existing health insurance schemes in 36 SSA countries.
Using secondary data from the most recent Demographic and Health Surveys, we computed mean population coverage for any type of health insurance, and for specific forms of health insurance schemes, by country. We developed concentration curves, computed concentration indices, and rich-poor differences and ratios to examine inequality in health insurance coverage. We decomposed the concentration index using a generalised linear model to examine the contribution of household and individual-level factors to the inequality in health insurance coverage.
Only four countries had coverage levels with any type of health insurance of above 20% (Rwanda-78.7% (95% CI 77.5% to 79.9%), Ghana-58.2% (95% CI 56.2% to 60.1%), Gabon-40.8% (95% CI 38.2% to 43.5%), and Burundi 22.0% (95% CI 20.7% to 23.2%)). Overall, health insurance coverage was low (7.9% (95% CI 7.8% to 7.9%)) and pro-rich; concentration index=0.4 (95% CI 0.3 to 0.4, p<0.001). Exposure to media made the greatest contribution to the pro-rich distribution of health insurance coverage (50.3%), followed by socioeconomic status (44.3%) and the level of education (41.6%).
Coverage of health insurance in SSA is low and pro-rich. The four countries that had health insurance coverage levels greater than 20% were all characterised by substantial funding from tax revenues. The other study countries featured predominantly voluntary mechanisms. In a context of high informality of labour markets, SSA and other LMICs should rethink the role of voluntary contributory health insurance and instead embrace tax funding as a sustainable and feasible mechanism for mobilising resources for the health sector.
撒哈拉以南非洲(SSA)的中低收入国家(LMIC)越来越多地将公共缴费医疗保险作为消除获得医疗服务的经济障碍并为民众提供经济风险保护的机制。在此背景下,我们评估了 36 个 SSA 国家现有医疗保险计划的人口覆盖水平和不平等程度。
我们利用最新的人口与健康调查的二手数据,按国家计算了任何类型的医疗保险和特定形式的医疗保险计划的平均人口覆盖率。我们绘制了集中曲线,计算了集中指数、贫富差距和贫富比,以检查医疗保险覆盖的不平等情况。我们使用广义线性模型对集中指数进行了分解,以检查家庭和个人层面因素对医疗保险覆盖不平等的贡献。
只有四个国家的任何类型医疗保险的覆盖率都超过了 20%(卢旺达 78.7%(95%CI 77.5%至 79.9%)、加纳 58.2%(95%CI 56.2%至 60.1%)、加蓬 40.8%(95%CI 38.2%至 43.5%)和布隆迪 22.0%(95%CI 20.7%至 23.2%))。总体而言,医疗保险覆盖率很低(7.9%(95%CI 7.8%至 7.9%))且偏向富人;集中指数=0.4(95%CI 0.3 至 0.4,p<0.001)。媒体接触对医疗保险覆盖偏向富人的分布有最大的贡献(50.3%),其次是社会经济地位(44.3%)和教育水平(41.6%)。
SSA 的医疗保险覆盖率很低且偏向富人。四个医疗保险覆盖率超过 20%的国家都是由大量税收资金来支持的。其他研究国家主要采用自愿机制。在劳动力市场高度非正规的情况下,SSA 和其他 LMIC 应该重新思考自愿缴费医疗保险的作用,转而将税收资金作为为卫生部门筹集资源的可持续和可行机制。