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Rural–urban disparity in community-based health insurance enrollment in Ethiopia: a multivariate decomposition analysis using Ethiopian Mini Demographic Health Survey 2019
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BackgroundIn sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural–urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural–urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019).MethodsThis study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural–urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance.ResultsThe study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural–urban disparity of CBHI enrollment due to the effect of household characteristics.ConclusionThere were significant urban–rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.
Frontiers Media SA
Title: Rural–urban disparity in community-based health insurance enrollment in Ethiopia: a multivariate decomposition analysis using Ethiopian Mini Demographic Health Survey 2019
Description:
BackgroundIn sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals.
Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia.
However, the rural–urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis.
Therefore, this study aimed to assess the rural–urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019).
MethodsThis study used the latest EMDHS 2019 dataset.
STATA version 17.
0 software was used for analyses.
The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables.
The rural–urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis.
A p-value of <0.
05 with a 95% confidence interval was used to determine the statistical significance.
ResultsThe study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.
001).
Approximately 36.
98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.
02% of the disparities were due to the effect of these characteristics (coefficients).
The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households.
The region was the significant factor that contributed to the rural–urban disparity of CBHI enrollment due to the effect of household characteristics.
ConclusionThere were significant urban–rural disparities in CBHI enrollment in Ethiopia.
Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics.
Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.
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