埃塞俄比亚家庭加入社区医疗保险的意愿及其相关因素:系统回顾和荟萃分析

IF 2.5 4区 医学 Q3 HEALTH POLICY & SERVICES
Abdene Weya Kaso, Berhanu Gidisa Debela, Habtamu Endashaw Hareru, Helen Ali Ewune, Mary Abera Debisa, Daniel Sisay, Alemayehu Hailu
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引用次数: 0

摘要

背景:在埃塞俄比亚,自付医疗费用占所有医疗费用的三分之一,这使得家庭难以获得和利用医疗保健。以社区为基础的医疗保险(CBHI)计划是保护低收入家庭免于负担不起医疗费用的预付机制之一。本系统回顾和荟萃分析旨在估计埃塞俄比亚家庭加入社区健康保险计划的总体意愿及其相关因素。方法:从PubMed、b谷歌Scholar、Web of Science、Scopus、Science Direct和埃塞俄比亚大学的灰色文献库中检索文章。本研究采用改良的PRISMA指南重写和回顾文献。使用乔安娜布里格斯研究所关键评估工具评估研究的质量。使用Microsoft Excel提取数据,导出到STATA version 16软件进行分析。采用Cochran’s Q统计量和I2检验来确定研究之间的异质性。研究发表偏倚采用漏斗图和Egger检验确定。进行亚组分析以证明不同研究区域效应大小的差异。最后,我们利用随机效应模型来计算埃塞俄比亚家庭加入社区健康计划的总体意愿及其决定因素。结果:我们纳入了30项研究,以确定加入CBHI计划的意愿及其决定因素。家庭加入家庭健康计划的意愿总和为60.42% (95% CI: 51.45%, 69.38%)。年龄大(AOR = 2.17, [95% CI: 1.37, 3.44], I2 = 82.33%),教育程度高(AOR = 2.74, [95% CI: 2.10, 3.56], I2 = 59.85%),财富指数高(AOR = 2.51, [95% CI: 1.99, 3.18], I2 = 48.25%),对CBHI方案有良好的了解/意识(AOR = 4.21, [95% CI: 3.01, 5.88], I2 = 66.0%),近3个月内有过疾病(AOR = 3.42, [95% CI: 2.19, 5.35], I2 = 71.15%),家庭规模大(AOR = 2.36, [95% CI: 2.19, 5.35];(1.95, 2.87), I2 = 50.81%)是参与CBHI计划意愿的决定因素。此外,可负担的保费(AOR = 3.12, [95%CI: 2.34, 4.14], I2 = 10.35%)、健康状况不佳(AOR = 3.23, [95%CI: 2.57, 4.06], I2 = 35.97%)、对计划的信任(AOR = 4.38, [95%CI: 1.91, 10.06], I2 = 88.35%)、慢性病(AOR = 3.24, [95%CI: 2.40, 4.37], I2 = 67.15%)和良好的医疗服务质量(AOR = 2.91, [95%CI:2.08, 4.09], I2 = 65.40%)也是参与CBHI计划意愿的预测因素。结论:加入CBHI计划的总体意愿率较低,低于80%的国家目标。年龄、家庭规模、教育程度、财富状况、最近三个月患病情况、是否患有慢性疾病、是否负担得起医保计划的保费、自我报告的健康状况、对医保计划的了解/意识、对医保计划的信任以及对医保服务质量的感知是决定加入医保计划意愿的重要因素。保健提供者应通过健康教育,详细地提高对儿童健康保健计划概念和原则的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Willingness to join community-based health insurance and associated factors among households in Ethiopian: a systematic review and meta-analysis.

Willingness to join community-based health insurance and associated factors among households in Ethiopian: a systematic review and meta-analysis.

Willingness to join community-based health insurance and associated factors among households in Ethiopian: a systematic review and meta-analysis.

Willingness to join community-based health insurance and associated factors among households in Ethiopian: a systematic review and meta-analysis.

Background: In Ethiopia, out-of-pocket medical expenses make up one-third of all medical expenses, which makes it difficult for households to obtain and utilize healthcare. One of the prepayment mechanisms that shield low-income households from unaffordable medical bills is the community-based health insurance (CBHI) program. This systematic review and meta-analysis aimed to estimate the pooled willingness to join Community-based Health Insurance schemes and its associated factors among households in Ethiopia.

Methods: Articles were searched from PubMed, Google Scholar, Web of Science, Scopus, Science Direct, and Ethiopian Universities' repositories for grey literature. The study used the modified PRISMA guidelines for rewriting and reviewing the literature. The quality of studies was assessed using Joanna Briggs Institute Critical Appraisal tools. Data was extracted using Microsoft Excel and exported to STATA version 16 software for analysis. Cochran's Q statistic and I2 tests were utilized to determine the heterogeneity between studies. Studies publication bias was determined using a funnel plot and Egger's test. Subgroup analysis was conducted to demonstrate variations of the effect sizes across study regions. Finally, we utilized a random-effect model to compute the overall willingness to join the CBHI scheme and its determinants among households in Ethiopia.

Result: We included thirty studies to determine the pooled prevalence of willingness to join the CBHI scheme and its determinants. The pooled magnitude of households' willingness to join the CBHI scheme was 60.42% (95% CI: 51.45%, 69.38%). Old aged (AOR = 2.17, [95% CI: 1.37, 3.44], I2 = 82.33%), formal educational status(AOR = 2.74, [95% CI: 2.10, 3.56], I2 = 59.85%), Rich wealth index (AOR = 2.51, [95% CI: 1.99, 3.18], I2 = 48.25%), good knowledge/awareness of CBHI scheme(AOR = 4.21, [95% CI: 3.01, 5.88], I2 = 66.0%), experienced illness in the last three months (AOR = 3.42, [95% CI: 2.19, 5.35], I2 = 71.15%), and large family size (AOR = 2.36, [95% CI: 1.95, 2.87], I2 = 50.81%) were determinants of willingness to join the CBHI scheme. In addition, affordability of CBHI premium (AOR = 3.12, [95% CI: 2.34, 4.14], I2 = 10.35%), poor health status (AOR = 3.23, [95% CI: 2.57, 4.06], I2 = 35.97%), trust in scheme (AOR = 4.38, [95% CI: 1.91, 10.06], I2 = 88.35%), chronic diseases (AOR = 3.24, [95% CI: 2.40, 4.37], I2 = 67.15%) and good quality of healthcare services (AOR = 2.91, [95%CI:2.08, 4.09], I2 = 65.40%) were also predictors of willingness to join the CBHI program.

Conclusion: The pooled prevalence of willingness to join the CBHI scheme was low and below the national target of 80%. Age, family size, educational status, wealth status, illnesses in last three months, presence of chronic illnesses, affordability of the premium for the CBHI scheme, self-reported health status, Knowledge/awareness of the scheme, trust in the scheme and perceived quality of healthcare service were significantly determine the willingness to join the CBHI scheme. Health providers should provide detailed awareness creation through health education on the concepts and principles of the CBHI scheme.

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来源期刊
Cost Effectiveness and Resource Allocation
Cost Effectiveness and Resource Allocation HEALTH POLICY & SERVICES-
CiteScore
3.40
自引率
4.30%
发文量
59
审稿时长
34 weeks
期刊介绍: Cost Effectiveness and Resource Allocation is an Open Access, peer-reviewed, online journal that considers manuscripts on all aspects of cost-effectiveness analysis, including conceptual or methodological work, economic evaluations, and policy analysis related to resource allocation at a national or international level. Cost Effectiveness and Resource Allocation is aimed at health economists, health services researchers, and policy-makers with an interest in enhancing the flow and transfer of knowledge relating to efficiency in the health sector. Manuscripts are encouraged from researchers based in low- and middle-income countries, with a view to increasing the international economic evidence base for health.
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