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Spatial distribution and associated factors of health insurance coverage in Ethiopia: further analysis of Ethiopia demographic and health survey, 2016.


ABSTRACT: Background:Health insurance is one of the instruments to achieve universal health coverage. However, in Ethiopia, the coverage of health insurance is very low and varies from place to place as well. Therefore, exploring the spatial distribution of health insurance is important to prioritize and design targeted intervention programs in the country. Methods:A total of 16,583 reproductive age group women (15-49?years) were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyse the purely spatial clusters of health insurance coverage. ArcGIS version 10.3 was used to visualize the distribution of health insurance coverage across the country. Mixed-effect logistic regression analysis was also used to identify predictors of health insurance coverage. Results:Health insurance coverage among women aged 15-49?years had spatial variations across the country (Moran's I: 0.115, p?

SUBMITTER: Kebede SA 

PROVIDER: S-EPMC7076975 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Spatial distribution and associated factors of health insurance coverage in Ethiopia: further analysis of Ethiopia demographic and health survey, 2016.

Kebede Sewnet Adem SA   Liyew Alemneh Mekuriaw AM   Tesema Getayeneh Antehunegn GA   Agegnehu Chilot Desta CD   Teshale Achamyeleh Birhanu AB   Alem Adugnaw Zeleke AZ   Yeshaw Yigizie Y  

Archives of public health = Archives belges de sante publique 20200316


<h4>Background</h4>Health insurance is one of the instruments to achieve universal health coverage. However, in Ethiopia, the coverage of health insurance is very low and varies from place to place as well. Therefore, exploring the spatial distribution of health insurance is important to prioritize and design targeted intervention programs in the country.<h4>Methods</h4>A total of 16,583 reproductive age group women (15-49 years) were included in this study. The Bernoulli model was used by apply  ...[more]

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