Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
Abstract Background Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. Methods Medical records o...
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doaj-15a77aa7447a4e99b8a3701ba02f365c2021-01-10T12:06:43ZengBMCBMC Public Health1471-24582020-01-012011910.1186/s12889-019-8118-xNeonatal mortality and associated factors in the specialized neonatal care unit Asmara, EritreaAmanuel Kidane Andegiorgish0Mihreteab Andemariam1Sabela Temesghen2Liya Ogbai3Zemichael Ogbe4Lingxia Zeng5Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science CenterDepartment of Epidemiology and Biostatistics, Asmara College of Health Sciences, School of Public HealthDepartment of Epidemiology and Biostatistics, Asmara College of Health Sciences, School of Public HealthDepartment of Epidemiology and Biostatistics, Asmara College of Health Sciences, School of Public HealthDepartment of Neonatology, Orotta School of Medicine and Health Sciences, Orotta National Referral HospitalDepartment of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science CenterAbstract Background Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. Methods Medical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model’s estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant. Results Of the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97–10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80–63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34–6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09–4.76, in 5 min AOR = 2.07, 95% CI, 1.02–4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59–9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11–0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study. Conclusions Low birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths.https://doi.org/10.1186/s12889-019-8118-xNeonatal mortalityLow birth weightAssociated factorsSpecialized care unitEritrea |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amanuel Kidane Andegiorgish Mihreteab Andemariam Sabela Temesghen Liya Ogbai Zemichael Ogbe Lingxia Zeng |
spellingShingle |
Amanuel Kidane Andegiorgish Mihreteab Andemariam Sabela Temesghen Liya Ogbai Zemichael Ogbe Lingxia Zeng Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea BMC Public Health Neonatal mortality Low birth weight Associated factors Specialized care unit Eritrea |
author_facet |
Amanuel Kidane Andegiorgish Mihreteab Andemariam Sabela Temesghen Liya Ogbai Zemichael Ogbe Lingxia Zeng |
author_sort |
Amanuel Kidane Andegiorgish |
title |
Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea |
title_short |
Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea |
title_full |
Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea |
title_fullStr |
Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea |
title_full_unstemmed |
Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea |
title_sort |
neonatal mortality and associated factors in the specialized neonatal care unit asmara, eritrea |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2020-01-01 |
description |
Abstract Background Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. Methods Medical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model’s estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant. Results Of the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97–10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80–63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34–6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09–4.76, in 5 min AOR = 2.07, 95% CI, 1.02–4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59–9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11–0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study. Conclusions Low birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths. |
topic |
Neonatal mortality Low birth weight Associated factors Specialized care unit Eritrea |
url |
https://doi.org/10.1186/s12889-019-8118-x |
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