影响埃塞俄比亚南部 Gamo 区 Arba Minch Zuria 地区家庭加入社区医疗保险计划的因素(2023 年):基于社区的非匹配病例对照研究

Silas Bukuno Bujitie, Yusuf Haji Daud
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引用次数: 0

摘要

背景 许多中低收入国家都受到灾难性医疗支出的影响,因为自付费用超过了世界卫生组织(WHO)规定的 10%的阈值水平。埃塞俄比亚政府在其卫生部门转型计划 II 中一直致力于将自付比例从 37% 降至 15%以下;然而,该计划的特点是加入率低和辍学率高。本研究旨在确定埃塞俄比亚南部加莫区阿尔巴明奇祖里亚区参加社区医疗保险计划(CBHIS)的决定因素。方法 从 2023 年 2 月 8 日至 2023 年 3 月 9 日,在 327 名参与者(109 例病例和 218 例社区医疗保险计划对照)中按 1:2 的比例进行了非匹配病例对照研究。研究采用了多阶段抽样技术。通过结构化访谈问卷收集数据,然后输入 Epi-data 并导出到 SPSS 进行分析。使用二元逻辑回归法进行二变量和多变量分析。采用调整后的几率比(AOR)和 95% 的置信区间(CIs)进行显著性分析,P 值为 0.05。结果 共访问了 327 名参与者(109 名注册者和 218 名非注册者),回复率为 100%。结果发现,家庭规模(AOR=1.66;95% CI:1.00-2.73)、财富指数(AOR=2.29;95% CI:1.25-4.19)、对社区医疗保险计划的认知水平(AOR=3.78;95% CI:1.09-13.18)以及对医疗质量的感知(AOR=1.67;95% CI:1.02-2.75)是参保的决定性因素。结论 强烈建议加强社区宣传活动,重点关注贫困家庭,提高医疗服务质量,以提高计划的参保率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors that affect enrollment into a community-based health insurance scheme among households in Arba Minch Zuria District, Gamo Zone, Southern Ethiopia, 2023: A community-based, unmatched case-control Study
Background Many low-and middle-income countries are affected by catastrophic health expenditures as out-of-pocket payments exceed the World Health Organization’s (WHO) 10% threshold level. The government of Ethiopia has been working to reduce out-of-pocket payments from 37% to less than 15% in its health sector transformation plan II; however, the scheme was marked by a low membership and dropout rate. The aim of the study was to identify determinants of enrolment into a community-based health insurance scheme (CBHIS) in Arba Minch Zuria District of Gamo Zone, Southern Ethiopia. Methods Unmatched case-control study was employed from February 8, 2023, to March 9, 2023, among 327 participants (109 cases and 218 controls to community-based health insurance (CBHI) scheme) in a 1:2 proportions. Multi-stage sampling technique was used to draw the study participants. Data were collected by using structured interviewer administered questionnaire and then entered into Epi-data and exported to SPSS for analysis. Bivariable and multivariable analysis was carried out using binary logistic regression. Significance was declared by using an adjusted odds ratio (AOR) with 95% confidence interval (CIs) and a p value of <0.05. Results A total of 327 participants (109 enrolled and 218 non-enrolled) were interviewed, resulting in a response rate of 100%. Family size (AOR=1.66; 95% CI: 1.00–2.73), wealth index (AOR=2.29; 95% CI: 1.25–4.19), awareness level of the community based health insurance scheme (AOR=3.78; 95% CI: 1.09–13.18), and perceived quality of health care (AOR=1.67; 95% CI: 1.02-2.75) were found to be determinant factors of enrollment in the scheme. Conclusion Strengthening community awareness activities, focusing on families of poor households, and improving the quality of health service delivery are highly recommended to improve enrollment in the scheme.
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