Maternal Near-miss and its Associated Factors in Governmental Health Centers in Northern Oromia Regional State, Ethiopia

Bilal Abdulrazak, Fessahaye Alemseged, Zerihun Kura Idossa, Biru Abdissa Mizana
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Abstract

Background & aim: Maternal near-miss (MNM) is a condition of maternal mortality in which women survive accidentally or by best hospital care. This is useful to examine the excellence of obstetric care. The study aimed to assess MNM and its associated factors in governmental health centers in Northern Oromia, Ethiopia, from September 11 in 2014 to March 30, 2018. Methods: This retrospective record review was conducted in governmental health centers in Sandafa town, from April 10 to May 5, 2018 by reviewing the medical records of 1,667 treated mothers. The study participants were selected through simple random sampling. The data were collected using standard tools by trained data collectors. The data entered into EpiData version 3.1 and analyzed by SPSS version 20. Multiple logistic regressions were used to identify the associations between independent and outcome variables. The variables with P < 0.25 during bivariate analysis were included in the multivariable logistic regression model. Finally, the variables with P ≤ 0.05 were considered the determinants of MNM. Results: In this study, there were 344 (20.6%) MNM cases. The place of residence (AOR=1.4; 95% CI: 1.03-1.81; P=0.031), duration of labor (AOR=6.5; 95% CI: 4.5-9.5; P=0.001), and antenatal care (ANC) visits (AOR=6.53 [4.5, 9.5]; P=0.001) were the factors significantly associated with MNM. Conclusion: The study revealed that the frequency of MNM was high in the study area. The place of residence, duration of labor, and ANC visits were significantly associated with MNM.
埃塞俄比亚北部奥罗米亚州政府卫生中心的孕产妇未遂事件及其相关因素
背景与目的:产妇未遂事故(MNM)是一种产妇死亡的情况,在这种情况下,妇女意外地幸存下来或得到最好的医院护理。这有助于检查产科护理的优劣。该研究旨在评估2014年9月11日至2018年3月30日期间埃塞俄比亚北奥罗米亚政府卫生中心的MNM及其相关因素。方法:回顾性回顾2018年4月10日至5月5日在三发镇政府卫生院进行的记录,回顾1,667名接受治疗的母亲的病历。研究对象采用简单随机抽样的方式选择。数据由训练有素的数据收集人员使用标准工具收集。数据录入EpiData 3.1版本,使用SPSS 20版本进行分析。使用多重逻辑回归来确定自变量和结果变量之间的关联。双变量分析中P < 0.25的变量纳入多变量logistic回归模型。最后,将P≤0.05的变量视为MNM的决定因素。结果:本组MNM病例344例(20.6%)。居住地(AOR=1.4;95% ci: 1.03-1.81;P=0.031)、产程(AOR=6.5;95% ci: 4.5-9.5;P=0.001),产前保健(ANC)就诊(AOR=6.53 [4.5, 9.5];P=0.001)是与MNM显著相关的因素。结论:本研究显示研究区MNM的发生频率较高。居住地、劳动时间和ANC访问与MNM显著相关。
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