Sustainability and Risk of Community-Based Health Insurance in Ethiopia - Dereje Tolosa - E-Book

Sustainability and Risk of Community-Based Health Insurance in Ethiopia E-Book

Dereje Tolosa

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Beschreibung

Forschungsarbeit aus dem Jahr 2018 im Fachbereich Gesundheit - Sonstiges, Note: B+, Jimma University College of Agriculture and Veterinary Medicine, Veranstaltung: Health care, Sprache: Deutsch, Abstract: The study will improve insights elicited as a basis for ministry of health, Health Insurance agency, health service providers, policymakers, health plans, researchers, and vendors on the implementation and evaluation of health insurance system (follow-up activities) and monitoring of progress toward achieving CBHI goals, especially on sustainability of community-based health insurance. It renders the venders and EHIA to think off and develop risk adjustment model that will be the backbone of the system for to be effective, efficient, early warning, early intervention, and maximize return. The study will serve as reference or base for farther study conducted on health insurance. As the topic is new to our country, while doing this research it enables us (the student and adviser) to build practical skill of conducting research on the area of health insurance and sustainability. Therefore, the purpose of this study is to inform the sustainability of CBHI program in Ethiopia and will answer: What is the sustainability potential of CBHI? What factors is risky for CBHI sustainability? What drive the cost of CBHI program? Health Insurance is one of the strategies to overcome financial challenges through prepaying and pooling fund. It is objected to protect catastrophic health expenditure at the time of health care need. Community Based Health insurance is one of health insurance type that consists members of informal sectors (communities who are engaged in informal sectors). The sustainability of it could be affected by the three components of health Insurance (provider, purchaser and member factors). Study design is a descriptive cross-sectional survey, by collecting claim data of health facility. Data mining technique, predictive model and SPSS version 21 was deployed for analysis.

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