Kebede Molla Melkamu
Public Administration, University of International Business and Economics, Beijing, People's Republic of China.
Risk Manag Healthc Policy. 2024 Mar 15;17:603-622. doi: 10.2147/RMHP.S454683. eCollection 2024.
A research gap exists in finding practical solutions to provide affordable and accessible health insurance coverage to improve CBHI enrollment and sustainability to people in resource-poor settings and contribute to achieving universal health coverage (UHC) in Ethiopia. This research was initiated to analyze the role of community trust in scheme management and health choice to identify significant factors based on the health belief model (HBM). This psychological framework explains and predicts health behavior by considering individual perceptions.
Cross-sectional information was gathered from 358 families, and original facts were utilized. Descriptive data and the Binary logistics in the econometric model were applied for data analysis.
The descriptive findings demonstrated that other variables were established to possess a significant consequence except for job and occupation variables. The results of the logistic regression model showed that the distance of the nearest health station from the family's home in a minute [AOR (95% CI) =0.177 (0.015, -0.399)], being a member of the families having an official position in local government or cultural structure [AOR (95% CI) =0.574 (0.355, 0.793)], having an experience of visiting health facilities [AOR (95% CI) =0.281 (0.166, 0.396)], and perceiving the local CBHI scheme management as trustworthy [AOR (95% CI) =0.404 (0.233, 0.575)] were positively associated with family enrollment in the CBHI scheme. On the other hand, being a member of the "rotating saving and credit association" (ROSCA) [AOR (95% CI) =-.299 (-.478, -0.120)] was negatively associated with the family's enrollment in the CBHI scheme.
Trust in CBHI scheme management, family's experience of visiting health facilities, and distance from the nearest health station were essential factors influencing enrollment in CBHI schemes. "Rotating saving and credit association" (ROSCA) ° negatively and statistically significantly impacted the family's CBHI enrolment status. Income level was not associated with enrollment.
在为资源匮乏地区的人们提供负担得起且可及的医疗保险覆盖范围,以提高社区基于社区的健康保险(CBHI)参保率和可持续性,并助力埃塞俄比亚实现全民健康覆盖(UHC)方面,存在研究空白。本研究旨在分析社区信任在计划管理和健康选择中的作用,以便基于健康信念模型(HBM)确定重要因素。这个心理框架通过考虑个体认知来解释和预测健康行为。
收集了来自358个家庭的横断面信息,并运用了原始数据。数据分析采用描述性数据以及计量经济学模型中的二元逻辑回归。
描述性结果表明,除工作和职业变量外,其他变量均被证实具有显著影响。逻辑回归模型的结果显示,家庭住所与最近卫生站的距离(分钟数)[调整后比值比(AOR)(95%置信区间)=0.177(0.015,-0.399)]、属于在当地政府或文化机构担任公职的家庭[调整后比值比(AOR)(95%置信区间)=0.574(0.355,0.793)]、有过前往医疗机构就诊的经历[调整后比值比(AOR)(95%置信区间)=0.281(0.166,0.396)]以及认为当地CBHI计划管理值得信赖[调整后比值比(AOR)(95%置信区间)=0.404(0.233,0.575)]与家庭参与CBHI计划呈正相关。另一方面,属于“轮转储蓄与信贷协会”(ROSCA)[调整后比值比(AOR)(95%置信区间)=-0.299(-0.478,-0.120)]与家庭参与CBHI计划呈负相关。
对CBHI计划管理的信任、家庭前往医疗机构就诊的经历以及与最近卫生站的距离是影响CBHI计划参保率的重要因素。“轮转储蓄与信贷协会”(ROSCA)对家庭的CBHI参保状况产生了负面且具有统计学意义的影响。收入水平与参保率无关。