利用2019年埃塞俄比亚微型人口与健康调查数据探究剖宫产的空间分布及相关因素:一项基于社区的横断面研究

Spatial distribution and associated factors of cesarean section in Ethiopia using mini EDHS 2019 data: a community based cross-sectional study.

作者信息

Azene Abebaw Gedef, Wassie Gizachew Tadesse, Asmamaw Desale Bihonegn, Negash Wubshet D, Belachew Tadele Biresaw, Terefe Bewketu, Muchie Kindie Fentahun, Bantie Getasew Mulat, Eshetu Habitu Birhan, Bogale Kassawmar Angaw

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.

Department of Reproductive Health, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

出版信息

Sci Rep. 2024 Sep 16;14(1):21637. doi: 10.1038/s41598-024-71293-7.

Abstract

Maternal health is a major public health tricky globally. Cesarean section delivery reduces morbidity and mortality when certain complications occur throughout pregnancy and labor. Cesarean section subjected to the availability and use of essential obstetric services in regional factors in Ethiopia. There was a scarcity of studies that assess the spatial distribution and associated factors of cesarean section. Consequently, this study aimed to assess the spatial variation of cesarean section and associated factors using mini EDHS 2019 national representative data. A community based cross-sectional study was conducted in Ethiopia from March to June 2019. A two-stage stratified sampling design was used to select participants. A Global Moran's I and Getis-Ord Gi* statistic hotspot analysis was used to assess the spatial distribution. Kuldorff's SaTScan was employed to determine the purely statistically significant spatial clusters. A multilevel binary logistic regression model fitted to identify factors. A total of 5753 mothers were included. More than one-fourth of mothers delivered through cesarean section at private health institutions and 54.74% were not educated. The proportion of cesarean section clustered geographically in Ethiopia and hotspot areas were observed in Addis Ababa, Oromia, Tigray, Derie Dewa, Amhara, and SNNR regions. Mothers' age (AOR = 1.07, 95% CI 1.02-1.12), mother's had secondary education (AOR = 2.113, 95% CI 1.414, 3.157), mother's higher education (2.646, 95% CI 1.724, 4.063), Muslim religion followers (AOR = 0.632, 95% CI 0.469, 0.852), poorer (AOR = 1.719, 95% CI 1.057, 2.795), middle wealth index (AOR = 1.769, 95% CI 1.073, 2.918), richer (AOR = 2.041, 95% CI 1.246, 3.344), richest (AOR = 3.510, 95% CI 2.197, 5.607), parity (AOR = 0.825, 95% CI 0.739, 0.921), and multiple pregnancies (AOR = 4.032, 95% CI 2.418, 6.723) were significant factors. Therefore, geographically targeted interventions are essential to reduce maternal and infant mortality with WHO recommendations for those Muslim, poorest and not educated mothers.

摘要

孕产妇健康是全球主要的公共卫生难题。当孕期和分娩期间出现某些并发症时,剖宫产可降低发病率和死亡率。在埃塞俄比亚的区域因素中,剖宫产取决于基本产科服务的可及性和使用情况。评估剖宫产空间分布及相关因素的研究较少。因此,本研究旨在利用2019年埃塞俄比亚微型人口与健康调查(Mini EDHS)的全国代表性数据,评估剖宫产的空间差异及相关因素。2019年3月至6月在埃塞俄比亚进行了一项基于社区的横断面研究。采用两阶段分层抽样设计选取参与者。使用全局莫兰指数(Global Moran's I)和Getis-Ord Gi*统计热点分析来评估空间分布。采用Kuldorff的时空扫描统计(SaTScan)来确定具有统计学意义的纯空间聚类。拟合多水平二元逻辑回归模型以识别相关因素。共纳入5753名母亲。超过四分之一的母亲在私立医疗机构进行剖宫产,54.74%的母亲未受过教育。埃塞俄比亚剖宫产比例在地理上呈聚集分布,在亚的斯亚贝巴、奥罗米亚、提格雷、德雷达瓦、阿姆哈拉和南方各族州地区观察到热点区域。母亲年龄(调整后比值比[AOR]=1.07,95%置信区间[CI]为1.02 - 1.12)、母亲接受过中等教育(AOR = 2.113,95% CI为1.414 - 3.157)、母亲接受过高等教育(AOR = 2.646,95% CI为1.724 - 4.063)、穆斯林宗教信徒(AOR = 0.632,95% CI为0.469 - 0.852)、贫困(AOR = 1.719,95% CI为1.057 - 2.795)、中等财富指数(AOR = 1.769,95% CI为1.073 - 2.918)、富裕(AOR = 2.041,95% CI为1.246 - 3.344)、最富裕(AOR = 3.510,95% CI为2.197 - 5.607)、产次(AOR = 0.825,95% CI为0.739 - 0.921)和多胎妊娠(AOR = 4.032,95% CI为2.418 - 6.723)是显著因素。因此,根据世界卫生组织的建议,针对那些穆斯林、最贫困且未受过教育的母亲进行地理定位干预对于降低孕产妇和婴儿死亡率至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5031/11405397/3cd5b292b45c/41598_2024_71293_Fig1_HTML.jpg

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