Survival Status and Predictors of Mortality among Neonates Admitted to Neonatal Intensive Care Unit in Dessie Referral Hospital, Northeast Ethiopia, 2021.
| dc.contributor.advisor | Sebsibe Girum | |
| dc.contributor.advisor | Mulugeta Feven | |
| dc.contributor.author | Kebede Mohammed | |
| dc.date.accessioned | 2021-11-17T09:09:31Z | |
| dc.date.accessioned | 2023-11-06T09:02:12Z | |
| dc.date.available | 2021-11-17T09:09:31Z | |
| dc.date.available | 2023-11-06T09:02:12Z | |
| dc.date.issued | 2021-06 | |
| dc.description.abstract | Background: The first 28-days of life, particularly the day of birth, are the most challengingand vulnerable time for a child’s survival and health. Neonatal deaths as a share of under-fivedeaths decreased more slowly than mortality among children aged 1–59 months and accountedfor 47 percent of all under-five deaths. Moreover, Ethiopia is still on the 4rank ofglobal and sub-Saharan Africa neonatal mortality rate, respectively, which indicates neonataldeath is a critical problem which needs farther studying of the underline predictors. Even though,some studies were conducted on predictors and determinants of neonatal mortality in Ethiopia,little is known about the time to neonatal death and its predictors. Therefore, this study aimedto assess the survival status and predictors of mortality among neonates admitted to NICU inDessie Referral Hospital. Objectives: To determine the survival status and predictors ofmortality among neonates admitted to NICU from 01/01/2018-31/12/2020 in Dessie ReferraHospital, Northeast Ethiopia, 2021. Methods: An institution-based retrospective cohort studywas used among 542 neonates admitted from 2018-2020 in NICU of Dessie Referral Hospital,Northeast Ethiopia. Medical record numbers were obtained from patient register logbooks. Thendata was collected from patient cards by using a systematic sampling method checklist. Data was entered using Epi-data 4.6 and analyzed using STATA 16. Kaplan Meierwas used to estimating median survival time and cumulative probability of survival, and the logrank test was used to compare esurvivalcurves.TheCoxproportionalhazardregressionmodelwas used to analyze the relationship between independent and outcome variables. Results: Outof 542 eligible participant neonates, 104 (19.19%) died with an overall incidence rate of 35.54(95%CI: 29.33, 40.08) deaths/1000 neonate-days observations. The overall median survivaltime was 14 days, with an overall cumulative survival probability of 36.10%. Low birth weight(AHR: 3.03, 95%CI: 1.53, 6.00), prolonged labor (AHR: 3.32, 95%CI: 1.46,7.53), primiparousmother (AHR: 2.23, 95%CI: 1.44, 3.45), preeclampsia (AHR: 2.17, 95%CI: 1.10, 4.25),Diabetic mother (AHR: 3.74, 95%CI: 1.57, 8.90), PNA (AHR: 2.61, 95%CI: 1.11, 6.13), andneonatal anemia (AHR: 9.14, 95%CI: 3.33, 25.08) were independent predictors of death. Conclusion: The incidence of death was 35.54 per 1000 neonate-day and LBW, primiparamother, prolonged labor, preeclampsia, maternal DM, PNA, neonatal anemia were identified asindependent predictors of time to death of neonates. Keywords: Neonate, Survival Status,Neonatal Mortality, Predictors, Time to Death | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/28732 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Abeba University | en_US |
| dc.subject | Mortality ,Neonates,Neonatal intensive care unit | en_US |
| dc.title | Survival Status and Predictors of Mortality among Neonates Admitted to Neonatal Intensive Care Unit in Dessie Referral Hospital, Northeast Ethiopia, 2021. | en_US |
| dc.type | Thesis | en_US |