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影响社区医疗保险计划参保的运营和结构因素:利用塞内加尔全国面板数据的 12 个波次进行的观察性研究。

Operational and structural factors influencing enrolment in community-based health insurance schemes: an observational study using 12 waves of nationwide panel data from Senegal.

机构信息

Research Center for Health Policy and Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan.

Graduate School of Economics, Hitotsubashi University, 2-1 Naka, Kunitachi, Tokyo 186-8601, Japan.

出版信息

Health Policy Plan. 2022 Aug 3;37(7):858-871. doi: 10.1093/heapol/czac033.

Abstract

Community-based health insurance (CBHI) has been implemented in many low- and middle-income countries to increase financial risk protection in populations without access to formal health insurance. While the design of such social programmes is fundamental to ensuring equitable access to care, little is known about the operational and structural factors influencing enrolment in CBHI schemes. In this study, we took advantage of newly established data monitoring requirements in Senegal to explore the association between the operational capacity and structure of CBHI schemes-also termed 'mutual health organizations' (MHO) in francophone countries-and their enrolment levels. The dataset comprised 12 waves of quarterly data over 2017-2019 and covered all 676 MHOs registered in the country. Primary analyses were conducted using dynamic panel data regression analysis. We found that higher operational capacity significantly predicted higher performance: enrolment was positively associated with the presence of a salaried manager at the MHO level (12% more total enrolees, 23% more poor members) and with stronger cooperation between MHOs and local health posts (for each additional contract signed, total enrolees and poor members increased by 7% and 5%, respectively). However, higher operational capacity was only modestly associated with higher sustainability proxied by the proportion of enrolees up to date with premium payment. We also found that structural factors were influential, with MHOs located within a health facility enrolling fewer poor members (-16%). Sensitivity analyses showed that these associations were robust. Our findings suggest that policies aimed at professionalizing and reinforcing the operational capacity of MHOs could accelerate the expansion of CBHI coverage, including in the most impoverished populations. However, they also suggest that increasing operational capacity alone may be insufficient to make CBHI schemes sustainable over time.

摘要

社区健康保险(CBHI)已在许多中低收入国家实施,旨在为无法获得正规医疗保险的人群增加财务风险保护。虽然此类社会计划的设计对于确保公平获得医疗服务至关重要,但对于影响 CBHI 计划参保率的运营和结构因素知之甚少。在这项研究中,我们利用塞内加尔新建立的数据监测要求,探讨了 CBHI 计划的运营能力和结构(在说法语的国家也称为“互助健康组织”)与其参保率之间的关系。该数据集包括 2017 年至 2019 年期间的 12 个季度的季度数据,涵盖了该国注册的所有 676 个 MHO。主要分析使用动态面板数据回归分析进行。我们发现,更高的运营能力显著预示着更高的绩效:参保率与 MHO 层面存在领薪经理(参保总人数增加 12%,贫困成员增加 23%)以及 MHO 与当地卫生所之间更强的合作(每签署额外一份合同,参保总人数和贫困成员人数分别增加 7%和 5%)呈正相关。然而,更高的运营能力与以参保人按时缴纳保费的比例来衡量的可持续性只有适度的关联。我们还发现,结构因素也具有影响力,位于医疗机构内的 MHO 参保的贫困成员较少(减少 16%)。敏感性分析表明,这些关联是稳健的。我们的研究结果表明,旨在使 MHO 专业化和加强其运营能力的政策可以加速 CBHI 覆盖范围的扩大,包括在最贫困的人群中。然而,它们也表明,仅增加运营能力可能不足以使 CBHI 计划随着时间的推移保持可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ccb/9347027/5b282f6481dd/czac033f1.jpg

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