Department of Statistics, College of Natural and Computational Sciences, Hawassa University, Hawassa, Ethiopia.
Department of Statistics, College of Natural and Computational Sciences, Dilla University, Dilla, Ethiopia.
Comput Math Methods Med. 2020 Jul 4;2020:8749753. doi: 10.1155/2020/8749753. eCollection 2020.
In sub-Saharan Africa, 72% of pregnant women received an antenatal care visit at least once in their pregnancy period. Ethiopia has one of the highest rates of maternal mortality in sub-Saharan African countries. So, this high maternal mortality levels remain a major public health problem. According to EDHS, 2016, the antenatal care (ANC), delivery care (DC), and postnatal care (PNC) were 62%, 73%, and 13%, respectively, indicating that ANC is in a low level. The main objective of this study was to examine the factors that affect the utilization of antenatal care services in Ethiopia using Bayesian multilevel logistic regression models. The data used for this study comes from the 2016 Ethiopian Demographic and Health Survey which was conducted by the Central Statistical Agency (CSA). The statistical method of data analysis used for this study is the Bayesian multilevel binary logistic regression model in general and the Bayesian multilevel logistic regression for the random coefficient model in particular. The convergences of parameters are estimated by using Markov chain Monte-Carlo (MCMC) using SPSS and MLwiN software. The descriptive result revealed that out of the 7171 women who are supposed to use ANC services, 2479 (34.6%) women were not receiving ANC services, while 4692 (65.4%) women were receiving ANC services. Moreover, women in the Somali and Afar regions are the least users of ANC. Using the Bayesian multilevel binary logistic regression of random coefficient model factors, place of residence, religion, educational attainment of women, husband educational level, employment status of husband, beat, household wealth index, and birth order were found to be the significant factors for usage of ANC. Regional variation in the usage of ANC was significant.
在撒哈拉以南非洲地区，72%的孕妇在怀孕期间至少接受过一次产前保健。埃塞俄比亚是撒哈拉以南非洲国家中孕产妇死亡率最高的国家之一。因此，如此高的孕产妇死亡率仍然是一个主要的公共卫生问题。根据 EDHS（埃塞俄比亚 2016 年人口与健康调查），2016 年，产前保健（ANC）、分娩护理（DC）和产后护理（PNC）的利用率分别为 62%、73%和 13%，这表明 ANC 的利用率较低。本研究的主要目的是利用贝叶斯多层次逻辑回归模型研究影响埃塞俄比亚妇女利用产前保健服务的因素。本研究使用的数据来自中央统计局（CSA）进行的 2016 年埃塞俄比亚人口与健康调查。本研究使用的数据分析方法是一般的贝叶斯多层次二项逻辑回归模型，特别是随机系数模型的贝叶斯多层次逻辑回归模型。参数的收敛性是使用 SPSS 和 MLwiN 软件通过马尔可夫链蒙特卡罗（MCMC）来估计的。描述性结果表明，在应该使用 ANC 服务的 7171 名妇女中，有 2479 名（34.6%）妇女未接受 ANC 服务，而 4692 名（65.4%）妇女正在接受 ANC 服务。此外，在索马里和阿法尔地区的妇女是 ANC 的最低使用者。使用贝叶斯多层次随机系数模型因素的二进制逻辑回归，居住地、宗教、妇女教育程度、丈夫教育程度、丈夫就业状况、殴打、家庭财富指数和出生顺序被发现是 ANC 使用的显著因素。ANC 使用的区域差异具有统计学意义。
