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埃塞俄比亚奥罗米亚州东沃莱加区公立医院分娩母亲的剖宫产率及其相关因素

Magnitude of cesarean section and its associated factors among mothers who gave birth in public hospitals in East Wollega Zone, Oromia, Ethiopia.

作者信息

Alemayehu Worku, Dori Jibril, Etafa Werku

机构信息

Maternal and Child Health Department, East Shoa Zone, Meki Primary Hospital, Oromia, Ethiopia.

Departments of Nursing, Institutes of Health Sciences, Wollega University, Nekemte, Ethiopia.

出版信息

BMC Womens Health. 2024 Dec 27;24(1):668. doi: 10.1186/s12905-024-03518-w.

DOI:10.1186/s12905-024-03518-w
PMID:39731104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11673670/
Abstract

BACKGROUND

Globally, there has been an explosive rise in the cesarean section rate that exceeds the World Health Organization rate of 10-15% and in the past fifteen years the rates was doubled in some countries including Ethiopia. Therefore, it is essential to recognize the current magnitude and the factors that contribute to increasing cesarean section rates beyond the World Health Organization recommendations and specifically in the study areas.

OBJECTIVE

This study aimed to assess the magnitude of cesarean sections and its associated factors among mothers who gave birth in public hospitals in East Wollega Zone, Oromia Ethiopia 2022.

METHODS

A Facility-based cross-sectional study design supplemented by the qualitative study was conducted among 403 mothers, and an in-depth interview was held with purposefully selected 18 post-cesarean section mothers who gave birth at public hospitals. The study subject for quantitative data was selected by a systematic random sampling method. Face-to-face interviews and a chart review checklist were used for data collection. Data were entered into EPI Data Version 3.1 and analyzed by SPSS version 25 for quantitative data and thematic analysis for qualitative data. Bivariate and multivariable logistic regression was used to assess the association between dependent and independent variables. Variables that were statistically significant at bivariate logistic regression with a p-value < 0.25 were entered into the multivariable logistic regression. Statistical significance was declared at a p-value less than 0.005 RESULT: The finding of this study revealed that the magnitude of the cesarean section was 31.5% (95% CI: 27.4%-36.5%). Factors such as living in an urban area (AOR = 2.87, 95%CI (1.63,5.05)), a mother who attained college and above (AOR = 3.48, 95% CI (1.72, 7.06)), being a referred mother (AO R = 2.27, 95% CI (1.31, 3.94)), being induced labor (AOR = 4.83, 95% CI (1.93,12.06)) and lack of antenatal care follow up (AOR=7.84, 95% CI (4.26, 14.44)) were significantly associated with an increased likelihood of cesarean section.

CONCLUSION

and Recommendation The study indicates a high cesarean section rate that exceeds the World Health Organization recommendation 10-15%. Therefore, improving antenatal care, referral systems, and labor induction management needs concern to mitigate unnecessary cesarean deliveries.

摘要

背景

在全球范围内,剖宫产率呈爆发式增长,超过了世界卫生组织建议的10%-15%的比率。在过去十五年中,包括埃塞俄比亚在内的一些国家的剖宫产率翻了一番。因此,必须认清当前剖宫产率的规模以及导致剖宫产率超过世界卫生组织建议水平的因素,特别是在研究区域内。

目的

本研究旨在评估2022年在埃塞俄比亚奥罗米亚州东沃莱加区公立医院分娩的母亲中剖宫产的规模及其相关因素。

方法

采用基于机构的横断面研究设计,并辅以定性研究,对403名母亲进行了调查,并对18名在公立医院剖宫产分娩的母亲进行了有目的的深入访谈。定量数据的研究对象采用系统随机抽样方法选取。通过面对面访谈和病历审查清单收集数据。数据录入EPI Data 3.1版本,并使用SPSS 25版本对定量数据进行分析,对定性数据进行主题分析。采用二元和多变量逻辑回归评估因变量和自变量之间的关联。在二元逻辑回归中p值<0.25的具有统计学意义的变量被纳入多变量逻辑回归。p值小于0.005时具有统计学意义。结果:本研究结果显示,剖宫产率为31.5%(95%CI:27.4%-36.5%)。诸如居住在城市地区(AOR = 2.87,95%CI(1.63,5.05))、母亲学历达到大专及以上(AOR = 3.48,95%CI(1.72,7.06))、转诊产妇(AOR = 2.27,95%CI(1.31,3.94))、引产(AOR = 4.83,95%CI(1.9з,12.06))以及缺乏产前检查随访(AOR = 7.84,95%CI(4.26,14.44))等因素与剖宫产可能性增加显著相关。

结论与建议

该研究表明剖宫产率较高,超过了世界卫生组织10%-15%的建议水平。因此,需要关注改善产前护理、转诊系统和引产管理,以减少不必要的剖宫产分娩。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5e/11673670/a275f7946a93/12905_2024_3518_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5e/11673670/7b78a12f0a2a/12905_2024_3518_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5e/11673670/a275f7946a93/12905_2024_3518_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5e/11673670/7b78a12f0a2a/12905_2024_3518_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5e/11673670/a275f7946a93/12905_2024_3518_Fig2_HTML.jpg

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