Open Access<p>Magnitude and Determinants of Dropout from Community-Based Health Insurance Among Households in Manna District, Jimma Zone, Southwest Ethiopia</p>
Author(s) -
Wakuma Akafu,
Teferi Daba Lemma,
Edosa Tesfaye Geta
Publication year - 2020
Publication title -
clinicoeconomics and outcomes research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.591
H-Index - 27
ISSN - 1178-6981
DOI - 10.2147/ceor.s284702
Subject(s) - medicine , dropout (neural networks) , confidence interval , logistic regression , odds ratio , descriptive statistics , health facility , demography , environmental health , statistics , health services , population , mathematics , machine learning , sociology , computer science
Community-based health insurance (CBHI) is a prepayment method of financial contributions for healthcare which aims to risk pooling, avoidance of catastrophic and impoverishing health expenditure. However, a high dropout from the scheme remains the biggest challenge to effective and sustainable progress towards universal financial protection in low- and middle-income countries. While large literature had examined initial enrollment and factors associated with it, only a few studies dealt with dropout. So the study aimed to assess the magnitude and determinants of dropout from community-based health insurance among households in Manna district, Jimma zone, Oromia Regional State, Ethiopia.