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.

中文翻译：

---

埃塞俄比亚利用产前保健服务的贝叶斯多层次分析。

在撒哈拉以南非洲地区，有72％的孕妇在怀孕期间至少接受过一次产前检查。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主要的公共卫生问题。根据EDHS，2016年，产前护理（ANC），分娩护理（DC）和产后护理（PNC）分别为62％，73％和13％，表明ANC处于较低水平。这项研究的主要目的是使用贝叶斯多级Logistic回归模型研究影响埃塞俄比亚利用产前护理服务的因素。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的统计方法通常是贝叶斯多级二进制logistic回归模型，尤其是随机系数模型的贝叶斯多级logistic回归。通过使用SPSS和MLwiN软件的马尔可夫链蒙特卡罗（MCMC）估计参数的收敛性。描述性结果显示，在应该使用ANC服务的7171名妇女中，有2479名（34.6％）妇女未获得ANC服务，而4692名妇女（65.4％）在接受ANC服务。此外，索马里和阿法尔地区的妇女是非洲人国民大会最少的使用者。使用随机系数模型因子，居住地，宗教信仰，妇女的受教育程度，丈夫的受教育程度，丈夫的就业状况，节拍，家庭财富指数和出生顺序是使用ANC的重要因素。ANC使用的地区差异很大。