Magnitude and predictors of early neonatal mortality in selected governmental hospitals in Addis Ababa, Ethiopia,2020:retrospective cross-sectional study.
| dc.contributor.advisor | Dr. Murugan, Rajalakshimi (Phd, Assistant Professor) | |
| dc.contributor.advisor | Mulugeta, Feven(Msc, Lecturer) | |
| dc.contributor.author | Wedajo, Getachew | |
| dc.date.accessioned | 2020-11-29T06:49:25Z | |
| dc.date.accessioned | 2023-11-06T09:02:03Z | |
| dc.date.available | 2020-11-29T06:49:25Z | |
| dc.date.available | 2023-11-06T09:02:03Z | |
| dc.date.issued | 2020-09 | |
| dc.description.abstract | Background: The first month of life is the riskiest time for child survival. Worldwide, an estimated 2.5 million newborns deceased in the first month of life in 2018 with estimate of 7,000 death per day and a third of all neonatal deaths tend to occur on the day of birth and close to three quarters die in the first week of life. Ethiopia is one of the ten countries which account to two-third of global neonatal death.Objective: This study aims to assess magnitude and predictors of early neonatal mortality among early neonates admitted in neonatal intensive care unit of selected governmental hospitals in Addis Ababa, Ethiopia, 2020.Methods and materials: Institutional based retrospective cross-sectional study design was conductedat Tikur Anbessa specialized hospital, Gandhi memorial hospital, Zewuditu hospital and Yekatit12 hospitalat Addis Ababa and data was collected from February 15 to June 5, 2020 frommedical record sheets of early neonates who were admitted in NICU from January 1, 2018 to December 30, 2019 by using a check list with a total sample size of 303. Simple random sampling method was used to select hospitals and systematic sampling method to select study units. Descriptive statistics were used to compute individual variables and regression analysis for associated variables by considering 95% CI, p value of 0.05 to show strength of association by using SPSS version 24 software.Result:The study reportrevealed that 18.2% of neonates died in their early neonatal period. Being pre-term [AOR: 0.088; 95% CI (0.015-0.515)], having birth defect [AOR: 2.759; 95% CI (1.072-7.1), oxygen treatment in early neonatal period [AOR: 11.629; 95% CI (4.950-27.317) and initiation of breast feeding within one hour [AOR: 0.061; 95% CI (0.014-0.272)] are significantly associated with early neonatal outcome. Conclusion and recommendations: According to this study early neonatal mortality was decreased from the study done previously at Addis Ababa. Initiating breast feeding within one hour of birth, birth defect and Oxygen treatment which was found to be a significant predictor of early neonatal mortality by affecting neonatal outcome positively or negatively. So, it is better to give a special attention for neonates admitted in NICU especially early neonates with important predictors of mortality. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/23691 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Abeba University | en_US |
| dc.subject | Neonate, neonatal outcome | en_US |
| dc.title | Magnitude and predictors of early neonatal mortality in selected governmental hospitals in Addis Ababa, Ethiopia,2020:retrospective cross-sectional study. | en_US |
| dc.type | Thesis | en_US |