PDF(Pubmed)
Abstract：
UNASSIGNED: In 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).
UNASSIGNED: This 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.
UNASSIGNED: The 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.
UNASSIGNED: There 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.
UNASSIGNED: This 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.
UNASSIGNED: The 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.
UNASSIGNED: There 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.
摘要：
■在撒哈拉以南非洲，实现全民健康覆盖（UHC）和保护人口免受与健康相关的财务困难仍然是具有挑战性的目标。随后，社区健康保险（CBHI）在中低收入国家引起了人们的兴趣，比如埃塞俄比亚。然而,CBHI入学率的城乡差距尚未使用多变量分解分析进行适当的调查。因此,本研究旨在使用2019年埃塞俄比亚迷你人口健康调查(EMDHS2019)评估埃塞俄比亚CBHI入学的城乡差异.
■这项研究使用了最新的EMDHS2019数据集。使用STATA17.0版软件进行分析。卡方检验用于评估CBHI登记与解释变量之间的关联。使用基于Logit的多元分解分析评估了CBHI入学的城乡差距。使用具有95%置信区间的<0.05的p值确定统计学显著性。
■研究发现，城乡家庭的CBHI入学率存在显着差异（p<0.001）。大约36.98%的CBHI入学差异归因于城乡家庭之间家庭特征的组成(禀赋)差异，63.02%的差异是由于这些特征(系数)的影响。研究发现，户主的年龄和教育程度，家庭大小,五岁以下儿童的数量，行政区,由于城乡家庭组成差异，财富状况是造成差异的重要因素。由于家庭特征的影响，该地区是导致CBHI入学率城乡差距的重要因素。
■埃塞俄比亚的CBHI入学率存在显著的城乡差距。户主的年龄和教育程度等因素，家庭大小,五岁以下儿童的数量，家庭的区域，家庭的财富状况导致了捐赠的差距，由于家庭特征的影响，家庭的地区是造成差异的因素。因此,有关机构应设计策略，以提高城乡家庭的CBHI入学率。
■这项研究使用了最新的EMDHS2019数据集。使用STATA17.0版软件进行分析。卡方检验用于评估CBHI登记与解释变量之间的关联。使用基于Logit的多元分解分析评估了CBHI入学的城乡差距。使用具有95%置信区间的<0.05的p值确定统计学显著性。
■研究发现，城乡家庭的CBHI入学率存在显着差异（p<0.001）。大约36.98%的CBHI入学差异归因于城乡家庭之间家庭特征的组成(禀赋)差异，63.02%的差异是由于这些特征(系数)的影响。研究发现，户主的年龄和教育程度，家庭大小,五岁以下儿童的数量，行政区,由于城乡家庭组成差异，财富状况是造成差异的重要因素。由于家庭特征的影响，该地区是导致CBHI入学率城乡差距的重要因素。
■埃塞俄比亚的CBHI入学率存在显著的城乡差距。户主的年龄和教育程度等因素，家庭大小,五岁以下儿童的数量，家庭的区域，家庭的财富状况导致了捐赠的差距，由于家庭特征的影响，家庭的地区是造成差异的因素。因此,有关机构应设计策略，以提高城乡家庭的CBHI入学率。
