Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study

Abstract Background Globally, about 2.7 million neonates die annually and more than 99% of these deaths happened in developing countries. Although most neonatal deaths are preventable and attempts had been taken to tackle these deaths, an aggregate of 30 neonatal deaths per 1000 live births had been...

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Main Authors: Banchigizie Adane Mengistu, Ayenew Engida Yismaw, Zelalem Nigussie Azene, Muhabaw Shumye Mihret
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Pediatrics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12887-020-02031-x
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author Banchigizie Adane Mengistu
Ayenew Engida Yismaw
Zelalem Nigussie Azene
Muhabaw Shumye Mihret
author_facet Banchigizie Adane Mengistu
Ayenew Engida Yismaw
Zelalem Nigussie Azene
Muhabaw Shumye Mihret
author_sort Banchigizie Adane Mengistu
collection DOAJ
description Abstract Background Globally, about 2.7 million neonates die annually and more than 99% of these deaths happened in developing countries. Although most neonatal deaths are preventable and attempts had been taken to tackle these deaths, an aggregate of 30 neonatal deaths per 1000 live births had been reported in Ethiopia. In this regard, identifying the predictors could be an important step. However, evidence on the incidence and predictors of neonatal mortality has been limited in Ethiopia, in the study area in particular. Even the available studies were limited in scope and were retrospective or cross section in nature. Thus, this study is aimed at assessing the incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia.. Method A multi center prospective follow up study was conducted on 612 neonates admitted in Amhara region referral hospitals from July 01 to August 30, 2018. A simple random sampling technique was used to select three of all referral hospitals in the study settings and all neonates admitted in the selected hospitals were included. Data were entered into Epi info version 7.0 and exported to STATA 14.0 for analysis. Cox proportional hazard regression model was fitted to identify predictors of neonatal mortality. Crude and Adjusted hazard ratio with 95% confidence interval was computed and variables’ statistical significance was declared based on its AHR with 95% CI and p-value ≤0.05. Result Overall, 144 (18.6%) neonates died with a total person-time of 4177.803 neonate-days which is equivalent to the neonatal mortality rate of 186 per 1000 admitted neonates with 95% CI (157,219). The incidence rate of neonatal mortality was 27 per 1000 admitted neonates with 95%CI (23, 33). Maternal age ≥ 35 years (AHR = 2.60; 95%CI: 1.44, 4.72), mothers unable to read and write (AHR = 1.40; 95%CI: 1.23, 2.44), multiple pregnancy (AHR = 3.96; 95%CI: 2.10, 7.43) and positive maternal HIV status (AHR = 6.57; 95%CI: 2.53, 17.06) were predictors of neonatal mortality. Conclusion In this study, the neonatal mortality rate was higher than the national figure. Its most predictors were found to be modifiable. Thus, the stakeholders would better consider the aforementioned predictors to decrease this higher burden.
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spelling doaj.art-99d3d10c24394ade8fb269bbfa5cfeac2022-12-21T19:20:09ZengBMCBMC Pediatrics1471-24312020-04-0120111410.1186/s12887-020-02031-xIncidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up studyBanchigizie Adane Mengistu0Ayenew Engida Yismaw1Zelalem Nigussie Azene2Muhabaw Shumye Mihret3Teda Health Science College, Amhara Regional Health Bureau, Department of MidwiferyDepartment of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of GondarDepartment of Women’s and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of GondarDepartment of Clinical Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of GondarAbstract Background Globally, about 2.7 million neonates die annually and more than 99% of these deaths happened in developing countries. Although most neonatal deaths are preventable and attempts had been taken to tackle these deaths, an aggregate of 30 neonatal deaths per 1000 live births had been reported in Ethiopia. In this regard, identifying the predictors could be an important step. However, evidence on the incidence and predictors of neonatal mortality has been limited in Ethiopia, in the study area in particular. Even the available studies were limited in scope and were retrospective or cross section in nature. Thus, this study is aimed at assessing the incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia.. Method A multi center prospective follow up study was conducted on 612 neonates admitted in Amhara region referral hospitals from July 01 to August 30, 2018. A simple random sampling technique was used to select three of all referral hospitals in the study settings and all neonates admitted in the selected hospitals were included. Data were entered into Epi info version 7.0 and exported to STATA 14.0 for analysis. Cox proportional hazard regression model was fitted to identify predictors of neonatal mortality. Crude and Adjusted hazard ratio with 95% confidence interval was computed and variables’ statistical significance was declared based on its AHR with 95% CI and p-value ≤0.05. Result Overall, 144 (18.6%) neonates died with a total person-time of 4177.803 neonate-days which is equivalent to the neonatal mortality rate of 186 per 1000 admitted neonates with 95% CI (157,219). The incidence rate of neonatal mortality was 27 per 1000 admitted neonates with 95%CI (23, 33). Maternal age ≥ 35 years (AHR = 2.60; 95%CI: 1.44, 4.72), mothers unable to read and write (AHR = 1.40; 95%CI: 1.23, 2.44), multiple pregnancy (AHR = 3.96; 95%CI: 2.10, 7.43) and positive maternal HIV status (AHR = 6.57; 95%CI: 2.53, 17.06) were predictors of neonatal mortality. Conclusion In this study, the neonatal mortality rate was higher than the national figure. Its most predictors were found to be modifiable. Thus, the stakeholders would better consider the aforementioned predictors to decrease this higher burden.http://link.springer.com/article/10.1186/s12887-020-02031-xAmhara regionNeonatal intensive care unitNeonatal mortality incidence rateNeonatal deathPredictorsSurvival of neonates
spellingShingle Banchigizie Adane Mengistu
Ayenew Engida Yismaw
Zelalem Nigussie Azene
Muhabaw Shumye Mihret
Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study
BMC Pediatrics
Amhara region
Neonatal intensive care unit
Neonatal mortality incidence rate
Neonatal death
Predictors
Survival of neonates
title Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study
title_full Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study
title_fullStr Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study
title_full_unstemmed Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study
title_short Incidence and predictors of neonatal mortality among neonates admitted in Amhara regional state referral hospitals, Ethiopia: prospective follow up study
title_sort incidence and predictors of neonatal mortality among neonates admitted in amhara regional state referral hospitals ethiopia prospective follow up study
topic Amhara region
Neonatal intensive care unit
Neonatal mortality incidence rate
Neonatal death
Predictors
Survival of neonates
url http://link.springer.com/article/10.1186/s12887-020-02031-x
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