Abstract
BACKGROUND: A major cause of deaths among children under five is neonatal mortality, a worldwide problem. However, the problem in sub-Saharan Africa is not well documented. Understanding the prevalence of neonatal death and its related causes is crucial for creating efforts and policies that could help address the problem. This study set out to determine the prevalence of neonatal death and its determinants in sub-Saharan Africa. METHODS: Using secondary data analysis of demographic and health surveys conducted between 2014 and 2024 in sub-Saharan Africa. Total weighted samples of 133,448 live births in all during the period in 31 Sub- Saharan Africa. The determinants of neonatal mortality were identified using a multilevel mixed-effects logistic regression model. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. The Intra-class Correlation Coefficient, Median Odds Ratio, Proportional Change in Variance was used for assessing the clustering effect, and deviance for model comparison. Variables with a p-value < 0.2 in the Bivariable analysis were considered in the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, Adjusted Odds Ratio with 95% CI was reported to declare statistically significant determinants of neonatal mortality. RESULTS: The neonatal mortality in sub-Saharan Africa was 32 per 1000 live births (95% CI: 30, 34). maternal occupation (AOR = 1.26, 95% CI: 1.16, 1.37), home delivery (AOR = 1.29; 95% CI: 1.21, 1.39), caesarean section (AOR = 1.58; 95%CI: 1.36, 1.83), twin births(AOR = 2.48, 95% CI: 2.05, 2.54), birth order of 2-4 (AOR = 1.30, 95% CI: 1.18, 1.44), birth order of ≥ 5 (AOR = 1.43, 95% CI: 1.31, 1.59) and smaller size than average (AOR = 1.49, 95% CI: 1.36, 1.63)were significantly associated with higher odds of neonatal mortality. CONCLUSION: According to this study, in sub-Saharan Africa neonatal mortality rate was high. The following factors should be taken into account while developing policies and measures to reduce newborn mortality in sub-Saharan Africa: the mother's education, wealth index, occupation, place of delivery, mode of delivery, twin birth, neonatal sex, birth order, and size at birth.