Geospatial patterns, and individual and community levels factors of cesarean section deliveries in Ethiopia: A spatial and multilevel analysis

Abel Endawkie, Shimels Derso Kebede, Natnael Kebede, Mengistu Mera Mihiretu, Ermias Bekele Enyew, Kokeb Ayele, Lakew Asmare, Fekade Demeke Bayou, Mastewal Arefaynie and Yawkal Tsega

PLOS ONE, 2024, vol. 19, issue 8, 1-16

Abstract: Background: Cesarean Section (CS) is the most popular surgery worldwide in obstetric care to save a mother’s or the fetus’s life. The prevalence of CS delivery in Ethiopia was 0.7% and 1.9% in 2000 and 2016 respectively and its spatial distribution and variation in Ethiopia are limited. This study provides evidence for healthcare providers and pregnant women on the national CS geospatial distribution and variation to promote evidence-based decision-making and improve maternal and neonatal outcomes. Therefore, this study aimed to determine geospatial patterns and individual and community-level factors of CS deliveries in Ethiopia. Method: A secondary data analysis of 5,527 weighted samples of mothers using the 2019 Ethiopian mini demographic and health survey was conducted. The spatial hotspot analysis using Getis-Ord Gi* hot spot analysis of ArcGIS version 10.7.1 was used to show the spatial cluster of CS and multilevel mixed effect logistic regression analyses were employed. Statistical significance was declared at p-value

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0306052

DOI: 10.1371/journal.pone.0306052

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