2019 年埃塞俄比亚育龄妇女熟练助产的空间变化及相关因素;空间和多层次分析。

IF 2.3 Q2 OBSTETRICS & GYNECOLOGY Frontiers in global women's health Pub Date : 2024-08-12 eCollection Date: 2024-01-01 DOI:10.3389/fgwh.2024.1082670
Fantu Mamo Aragaw, Gela Atlie, Amensisa Hailu Tesfaye, Daniel Gashaneh Belay
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引用次数: 0

摘要

背景:大多数孕产妇死亡与缺乏熟练助产护理有关。由于分娩是大多数孕产妇死亡的原因,因此熟练助产护理对于降低孕产妇死亡率至关重要。在埃塞俄比亚,熟练助产护理的使用率很低,因此确定决定熟练助产护理使用率的因素至关重要。因此,本研究旨在评估埃塞俄比亚熟练助产护理的空间分布、与财富相关的不平等以及决定因素:利用 2019 年小型埃塞俄比亚人口与健康调查,对 5251 名育龄妇女的加权样本进行了二次数据分析。集中指数和图表用于评估与财富相关的不平等。空间分析用于确定空间分布,多层次逻辑回归分析用于确定埃塞俄比亚熟练助产的预测因素。分析使用 STATA 14 版、ArcGIS 和 SaTscan 软件进行:埃塞俄比亚熟练助产率为 50.04%(95% CI:48.69%, 51.40%)。年龄、已婚、受教育程度、拥有电视和收音机、接受过产前检查、多胎、家庭人口多、财富指数高、居住在农村、社区贫困程度高以及妇女受教育程度是预测熟练助产率的重要因素。熟练助产过度集中于富裕家庭[C = 0.482; 95% CI: 0.436, 0.528]。索马里、南方各族州、阿法尔和阿姆哈拉州南部地区的非熟练助产率较高。结论:埃塞俄比亚有一半的妇女没有熟练接生:结论:埃塞俄比亚有一半的妇女没有使用熟练助产士接生,且有明显的空间集群。年龄、婚姻状况、受教育程度、产前检查次数、是否拥有电视和收音机、胎次、家庭规模、财富指数、居住地、社区贫困程度和社区妇女受教育程度是预测熟练助产士的重要因素。熟练接生并不均衡地集中在富裕家庭。索马里、南方各族州、阿法尔和阿姆哈拉南部地区被确定为使用非熟练助产护理的高发地区。公共卫生干预措施应针对那些使用非熟练助产士的高风险妇女。
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Spatial variation of skilled birth attendance and associated factors among reproductive age women in Ethiopia, 2019; a spatial and multilevel analysis.

Background: The majority of maternal deaths were associated with a lack of access to skilled birth attendance. Because childbirth accounts for most maternal deaths, skilled birth attendance is crucial for reducing maternal mortality. The use of skilled birth attendance in Ethiopia is low, and it is crucial to identify factors that determine the use of skilled birth attendance. Hence, this study aimed to assess the spatial distribution, wealth-related inequality, and determinants for skilled birth attendance in Ethiopia.

Methods: Secondary data analysis was done with a total weighted sample of 5,251 reproductive-aged women using the 2019 mini EDHS. The concentration index and graph were used to assess wealth-related inequalities. Spatial analysis was done to identify the spatial distribution and multilevel logistic regression analysis was used to identify predictors of skilled birth attendance in Ethiopia. Analysis was done using STATA version 14, ArcGIS, and SaTscan software.

Results: The prevalence of skilled birth attendance was 50.04% (95% CI: 48.69%, 51.40%) in Ethiopia. Old age, being married, being educated, having television and radio, having ANC visits, being multiparous, having large household sizes, having a rich wealth index, living in rural residence, and living in a high level of community poverty and women's education were significant predictors of skilled birth attendance. Skilled birth attendance was disproportionately concentrated in rich households [C = 0.482; 95% CI: 0.436, 0.528]. High prevalence of unskilled birth attendance was found in Somalia, SNNP, Afar, and southern parts of the Amhara regions. Primary clusters of unskilled birth attendance Somalia and some parts of Oromia region of Ethiopia.

Conclusion: Half of the women in Ethiopia did not utilize skilled birth attendants with significant spatial clustering. Age, marital status, educational status, ANC Visit, having television and radio, parity, household size, wealth index, residence, community level poverty, and community level of women's education were significant predictors of skilled birth attendance. Skilled birth attendance was unevenly concentrated in rich households. The regions of Somalia, SNNP, Afar, and southern Amhara were identified as having a high prevalence of using unskilled birth attendance. Public health interventions should target those women at high risk of using unskilled birth attendants.

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