Abstract
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.
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