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埃塞俄比亚孕妇产前检查期间妊娠危险信号咨询不足的空间变异性及其相关因素:地理加权回归模型。

Spatial variation and associated factors of inadequate counselling regarding pregnancy danger signs during antenatal care visits among pregnant women in Ethiopia: a Geographically Weighted Regression Model.

机构信息

Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

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

出版信息

BMJ Open. 2024 Apr 5;14(4):e083128. doi: 10.1136/bmjopen-2023-083128.

Abstract

INTRODUCTION

Inadequate counselling of pregnant women regarding pregnancy danger signs contributes to a delay in deciding to seek care, which causes up to 77% of all maternal deaths in developing countries. However, its spatial variation and region-specific predictors have not been studied in Ethiopia. Hence, the current study aimed to model its predictors using geographically weighted regression analysis.

METHODS

The 2019 Ethiopian Mini Demographic and Health Survey data were used. A total weighted sample of 2922 women from 283 clusters was included in the final analysis. The analysis was performed using ArcGIS Pro, STATA V.14.2 and SaTScan V.10.1 software. The spatial variation of inadequate counselling was examined using hotspot analysis. Ordinary least squares regression was used to identify factors for geographical variations. Geographically weighted regression was used to explore the spatial heterogeneity of selected variables to predict inadequate counselling.

RESULTS

Significant hotspots of inadequate counselling regarding pregnancy danger signs were found in Gambella region, the border between Amhara and Afar regions, Somali region and parts of Oromia region. Antenatal care provided by health extension workers, late first antenatal care initiation and antenatal care follow-up at health centres were spatially varying predictors. The geographically weighted regression model explained about 66% of the variation in the model.

CONCLUSION

Inadequate counselling service regarding pregnancy danger signs in Ethiopia varies across regions and there exists within country inequality in the service provision and utilisation. Prioritisation and extra efforts should be made by concerned actors for those underprivileged areas and communities (as shown in the maps), and health extension workers, as they are found in the study.

摘要

简介

孕妇对妊娠危险信号的咨询不足会导致寻求医疗的决策延迟,这导致发展中国家高达 77%的孕产妇死亡。然而,在埃塞俄比亚,其空间差异和特定区域的预测因素尚未得到研究。因此,本研究旨在使用地理加权回归分析对其预测因素进行建模。

方法

本研究使用了 2019 年埃塞俄比亚微型人口与健康调查数据。最终分析共纳入了来自 283 个集群的 2922 名妇女的加权总样本。分析使用了 ArcGIS Pro、STATA V.14.2 和 SaTScan V.10.1 软件。使用热点分析检查了咨询不足的空间变化。使用普通最小二乘法回归来确定地理差异的因素。使用地理加权回归来探索选定变量的空间异质性,以预测咨询不足。

结果

在甘贝拉地区、阿姆哈拉和阿法尔地区之间的边界、索马里地区和奥罗米亚地区的部分地区发现了妊娠危险信号咨询不足的显著热点。由卫生推广工作者提供的产前护理、首次产前护理延迟以及在卫生中心进行的产前护理随访是空间变化的预测因素。地理加权回归模型解释了模型中约 66%的变化。

结论

埃塞俄比亚在妊娠危险信号方面的咨询服务不足在各地区存在差异,并且在服务提供和利用方面存在国内不平等。有关行为体应优先考虑和额外努力为那些贫困地区和社区(如地图所示)以及在研究中发现的卫生推广工作者提供服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee0/11002423/fd71f3180813/bmjopen-2023-083128f01.jpg

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