A generalized Poisson regression analysis of determinants of early neonatal mortality in Ethiopia using 2019 Ethiopian mini demographic health survey

Abstract

AbstractNeonatal mortality within the first few days of life is a pressing issue in sub-Saharan Africa, including Ethiopia. Despite efforts to achieve the targets set by the Sustainable Development Goals, the rate of neonatal mortality in Ethiopia has increased from 29 to 33 deaths per 1000 live births. This study aimed to investigate and identify significant determinants of neonatal mortality within the first 72 h of life in Ethiopia. Utilizing data from the 2019 Ethiopia Demographic and Health Survey, we employed Generalized Poisson regression analysis following rigorous model fitness assessment. Our study encompassed 5527 weighted live-born neonates. Among women in their reproductive years, 3.1% (n = 174) experienced at least one very early neonatal death. Multiple births (Incidence Risk Ratio (IRR) = 3.48; CI = 1.76, 6.887) and birth order six or above (IRR = 2.23; CI = 1.008, 4.916) were associated with an increased risk of neonatal death within the first 72 h. Conversely, household size (IRR = 0.72; CI = 0.586, 0.885) and additional feeding practices (IRR = 0.33; CI = 0.188, 0.579) were found to mitigate the risk of very early neonatal mortality per mother in Ethiopia. Interventions targeting the identified risk factors and promoting protective factors can contribute to reducing very early neonatal mortality rates and improving the well-being of mothers and their newborns. Further research and implementation of evidence-based strategies are needed to address these challenges and ensure better neonatal outcomes in Ethiopia.