Determining factors of Neonatal Mortality in Ethiopia: Investigation from the 2019 Ethiopia Mini Demographic and Health Survey

Abstract

Background: Neonatal mortality is the probability of dying during the first 28 days of life. Of approximately 5 million children who die in the first year of life in the world, about 3 million are within their first 28 days of birth. In Ethiopia, the neonatal mortality rate is high about 37 per 1000 live births, and the factors are not well documented. Then, this study aimed to determine the key factors that have a significant influence on neonatal mortality.Methods: About 5753 neonatal mortality-related data were extracted from Ethiopia Mini Demographic and Health Survey (2019) data. A frequency distribution to summarize the overall data and Binary Logistic Regression to identify the subset of significant risk factors for neonatal mortality were applied to analyze the data.Results: About 36 per 1000 children died before the first 28 days of life with the highest about 15.9% of were in the Benishangul Gumuz region and the lowest about 2.4% of were in ty Addis Ababa. From the Binary logistic regression analysis, the odds ratio and 95% CI of age 25-34 (OR = 0.263, 95% CI: 0.106 - 0.653), Afar (OR= 0.384, 95% CI: 0.167 - 0.884), SNNPR (OR = 0.265, 95% CI: 0.098 - 0.720), Addis Ababa (OR= 5.741, 95% CI: 1.115 - 29.566), Urban (OR = 0.253, 95% CI: 0.090, 0.709), toilet facility (OR= 0.603, 95% CI: 0.404 - 0.900), single birth (OR= 0.261, 95% CI: 0.138 - 0.495), poorest (OR = 10.573, 95% CI: 2.166 - 51.615), poorer (OR = 19.573, 95% CI: 4.171 - 91.848), never breastfed (OR = 35.939, 95% CI: 25.193 - 51.268), public health delivery (OR = 0.302, 95% CI: 0.106 - 0.859), private health facility (OR= 0.269, 95% CI: 0.095 - 0.760). Conclusion: All regional states, specially Benishangul Gumuz, and the Somali region make remedial actions on public health policy, design strategies to improve facilities, and improve the capacities of stakeholders living in their region toward those major factors affecting neonatal mortality in the country.