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Analysis of Determinants of Neonatal Mortality in Afar and Somalia Regions, Ethiopia
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Background: Children face the highest risk of dying in their first month of life. Ethiopia is one of the sub-Saharan countries with highest newborn deaths. Afar and Somalia regions in Ethiopia are among the regions with high death rates of newborn children. This study aimed to analyse and identify determinants of neonatal mortality in Afar and Somalia regions, Ethiopia.
Methods: This study used 2016 Ethiopian Demographic and Health Survey data for the analysis. The multivariable logistic regression model was used to identify the significant determinants of neonatal mortality. Adjusted odds ratio with a 95% confidence interval and p-value < 0.05 in the multivariable logistic regression model was reported to declare the statistical significance and strength of association between neonatal mortality and determinants.
Results: A total of 2567 newborn children were included in this study. Mortality rate among newborns in the first month was 41 per 1000 live births in Afar and Somalia regions. Health facility delivery (AOR: 0.634; 95% CI: 0.409–0.982), being female (AOR: 0.206; 95% CI: 0.073–0.528), multiple births (AOR: 3.958; 95% CI: 2.293–11.208), small size at birth (AOR: 1.208; 95% CI: 1.003–1.728), secondary and above educational level of mothers (AOR: 0.484; 95% CI: 0.294–0.797) were statistically significant determinants neonatal mortality.
Conclusions: In this study, sex of child, place of delivery, birth type, size at birth, mother’s educational level were found to be statistically significant determinants of neonatal death in Afar and Somalia regions, Ethiopia. Mothers with no education should be given health education and institutional delivery should be encouraged to improve the survival of the neonates in Afar and Somalia regions, Ethiopia.
Sciencedomain International
Belema Hailu Regesa
Temesgen Senbeto
Gizachew Gobebo
Reta Lemesa
Ravi Kanth Makarla
Getachew Tadesse
Kebede Lulu
Terefa Bechera
Sagni Daraje
Agassa Galdassa
Ketema Bedane
Alemayehu Siffir
Jiregna Olani
Girma Teferi
Maru Mossisa
Emebet Chimdi
Gosa Tesfaye Degaga
Birhanu Woldeyohannes
Bizunesh Kefale
Geribe Hemba
Title: Analysis of Determinants of Neonatal Mortality in Afar and Somalia Regions, Ethiopia
Description:
Background: Children face the highest risk of dying in their first month of life.
Ethiopia is one of the sub-Saharan countries with highest newborn deaths.
Afar and Somalia regions in Ethiopia are among the regions with high death rates of newborn children.
This study aimed to analyse and identify determinants of neonatal mortality in Afar and Somalia regions, Ethiopia.
Methods: This study used 2016 Ethiopian Demographic and Health Survey data for the analysis.
The multivariable logistic regression model was used to identify the significant determinants of neonatal mortality.
Adjusted odds ratio with a 95% confidence interval and p-value < 0.
05 in the multivariable logistic regression model was reported to declare the statistical significance and strength of association between neonatal mortality and determinants.
Results: A total of 2567 newborn children were included in this study.
Mortality rate among newborns in the first month was 41 per 1000 live births in Afar and Somalia regions.
Health facility delivery (AOR: 0.
634; 95% CI: 0.
409–0.
982), being female (AOR: 0.
206; 95% CI: 0.
073–0.
528), multiple births (AOR: 3.
958; 95% CI: 2.
293–11.
208), small size at birth (AOR: 1.
208; 95% CI: 1.
003–1.
728), secondary and above educational level of mothers (AOR: 0.
484; 95% CI: 0.
294–0.
797) were statistically significant determinants neonatal mortality.
Conclusions: In this study, sex of child, place of delivery, birth type, size at birth, mother’s educational level were found to be statistically significant determinants of neonatal death in Afar and Somalia regions, Ethiopia.
Mothers with no education should be given health education and institutional delivery should be encouraged to improve the survival of the neonates in Afar and Somalia regions, Ethiopia.
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