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

Overview

Journal BMJ Open

Specialty General Medicine

Date 2024 Apr 6

PMID 38582539

Authors

Meron Asmamaw Alemayehu

Nebiyu Mekonnen Derseh

Tigabu Kidie Tesfie

Habtamu Wagnew Abuhay

Getaneh Awoke Yismaw

Muluken Chanie Agimas

Affiliations

Soon will be listed here.

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.

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