scholarly journals Cause and predictors of neonatal mortality among neonates admitted to the Neonatal Intensive Care Units of public Hospitals in eastern Ethiopia: Facilities based prospective follow-up study

2020 ◽  
Author(s):  
Assefa Desalew ◽  
Yitagesu Sintayehu ◽  
Nardos Teferi ◽  
Firehiwot Amare ◽  
Bifitu Geda ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Death ◽  
Neonatal Intensive Care ◽  
Causes Of Death ◽  
Public Hospitals ◽  
Neonatal Intensive Care Units ◽  
Eastern Ethiopia

Abstract Background: The first month is the most crucial period for child survival and neonatal mortality continues to remain high with little improvement over the years in Sub-Saharan Africa including Ethiopia. This region shows the least progress to reducing this high mortality rate and it continues to be a significant public health issue. The facilities-based cause and predictors of neonatal death in the neonatal intensive care unit are not well documented in this study setting. Hence, the aim of this study was to determine the cause and predictors of neonatal mortality among infants admitted to the neonatal intensive care units in Eastern Ethiopia. Method: Facilities-based prospective follow-up study was conducted among neonates admitted to the neonatal intensive care units of public hospitals in Eastern Ethiopia from November to December 2018. Data was collected using a pre-tested, structured questionnaire and a follow-up checklist. The main outcomes and cause of death was set by pediatricians and residents. Epi-Data 3.1 and SPSS 25 Version software were used for data entry and analysis. Binary logistic regression was used to find out the predictors of facilities-based neonatal mortality. Result: The proportion of facilities-based neonatal mortality was 20%. The top five causes of death were a complication of prematurity (49%), birth asphyxia (37.8%), infection (32.6%), meconium aspiration syndrome (17.3%) and congenital malformation (6.1%). Low birth weight, preterm births, length of stay in NICU , low 5 minute Apgar score , hyperthermia and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units in public hospitals, Eastern Ethiopia. Conclusion In summary, the proportion of facilities-based neonatal deaths was unacceptably high. The main causes of death were preventable and treatable. Hence, improving ANC and this would lead to early detection, anticipating high-risk newborns and timely intervention is very essential. Furthermore, early initiation of feeding and a better referral linkage to tertiary facilities could lead to a reduction of neonatal death in this setting.

scholarly journals Cause and Predictors of Neonatal Mortality among Neonates Admitted to the Neonatal Intensive Care Units of Public Hospitals in Eastern Ethiopia: Facilities Based Prospective Follow-up Study

2020 ◽  
Author(s):  
Assefa Desalew ◽  
Yitagesu Sintayehu ◽  
Nardos Teferi ◽  
Firehiwot Amare ◽  
Bifitu Geda ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Death ◽  
Neonatal Intensive Care ◽  
Causes Of Death ◽  
Public Hospitals ◽  
Neonatal Intensive Care Units ◽  
Eastern Ethiopia

Abstract Background The first month is the most crucial period for child survival. Neonatal mortality continues to remain high with little improvement over the years in Sub-Saharan Africa including Ethiopia. This region shows the least progress to reducing neonatal mortality and it continues to be a significant public health issue. The facilities-based causes and predictors of neonatal death in the neonatal intensive care unit are not well documented in this study setting. Hence, the aim of this study was to determine the causes and predictors of neonatal mortality among infants admitted to the neonatal intensive care units in Eastern Ethiopia. Methods Facilities-based prospective follow-up study was conducted among neonates admitted to the neonatal intensive care units of public hospitals in Eastern Ethiopia from November to December 2018. Data were collected using a pre-tested, structured questionnaire and a follow-up checklist. The main outcomes and causes of death were set by pediatricians and medical residents. Epi-Data 3.1 and Statistical Package for Social Sciences Version 25 software were used for data entry and analysis respectively. Multivariable logistic regression was used to find out the predictors of facilities-based neonatal mortality. Results The proportion of facilities-based neonatal mortality was 20%(95% CI: 16.7-23.8%) The causes of death were complications of preterm birth 28.58%, birth asphyxia 22.45%, infection 18.36%, meconium aspiration syndrome 9.18%, respiratory distress syndrome 7.14% and congenital malformation 4.08%. Low birth weight, preterm births, length of stay in NICU, low 5 minute Apgar score, hyperthermia and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units in public hospitals, Eastern Ethiopia. Conclusion The proportion of facilities-based neonatal deaths was unacceptably high. The main causes of death were preventable and treatable. Hence, improving timing and quality of ANC is essential for early detection, anticipating high-risk newborns and timely interventions. Furthermore, early initiation of feeding and a better referral linkage to tertiary facilities could lead to a reduction of neonatal death in this setting.

scholarly journals Cause and predictors of neonatal mortality among neonates admitted to neonatal intensive care units in public hospitals in eastern Ethiopia: A facility-based prospective follow-up study

2020 ◽  
Author(s):  
Assefa Desalew ◽  
Yitagesu Sintayehu ◽  
Nardos Teferi ◽  
Firehiwot Amare ◽  
Bifitu Geda ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Death ◽  
Neonatal Intensive Care ◽  
Causes Of Death ◽  
Public Hospitals ◽  
Neonatal Intensive Care Units ◽  
Eastern Ethiopia

Abstract Background: The first month is the most crucial period for child survival. Neonatal mortality continues to remain high with little improvement over the years in Sub-Saharan Africa, including Ethiopia. This region shows the least progress in reducing neonatal mortality and continues to be a significant public health issue. In this study setting, the causes and predictors of neonatal death in the neonatal intensive care units are not well documented. Hence, this study aimed to determine the causes and predictors of neonatal mortality among infants admitted to neonatal intensive care units in eastern Ethiopia. Methods: A facility-based prospective follow-up study was conducted among neonates admitted to neonatal intensive care units in public hospitals in eastern Ethiopia from November 1 to December 30, 2018. Data were collected using a pre-tested structured questionnaire and a follow-up checklist. The main outcomes and causes of death were set by pediatricians and medical residents. Epi-Data 3.1 and Statistical Package for Social Sciences Version 25 software were used for data entry and analysis, respectively. Multivariable logistic regression was used to identify the predictors of facility-based neonatal mortality.Results: The proportion of facility-based neonatal mortality was 20%(95% CI:16.7-23.8%). The causes of death were complications of preterm birth (28.58%), birth asphyxia (22.45%), neonatal infection (18.36%), meconium aspiration syndrome (9.18%), respiratory distress syndrome (7.14%), and congenital malformation (4.08%). Low birth weight, preterm births, length of stay in the neonatal intensive care unit, low 5 minutes APGAR score, hyperthermia, and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units in public hospitals in eastern Ethiopia.Conclusions: The proportion of facility-based neonatal deaths was unacceptably high. The main causes of death were preventable and treatable. Hence, improving the timing and quality of antenatal care is essential for early detection, anticipating high-risk newborns, and timely interventions. Furthermore, early initiation of feeding and better referral linkage to tertiary health facilities could lead to a reduction in neonatal death in this setting.

scholarly journals Cause and Predictors of Neonatal Mortality among Neonates admitted to Neonatal Intensive Care Units of Public Hospitals in eastern Ethiopia: Facilities based Prospective follow-up study

2020 ◽  
Author(s):  
Assefa Desalew ◽  
Yitagesu Sintayehu ◽  
Nardos Teferi ◽  
Firehiwot Amare ◽  
Bifitu Geda ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Death ◽  
Neonatal Intensive Care ◽  
Public Hospitals ◽  
Neonatal Intensive Care Units ◽  
Eastern Ethiopia ◽  
Follow Up Study

Abstract Background: The first month is the most crucial period for child survival. Neonatal mortality is stagnated in sub-Saharan Africa including Ethiopia. And the trend in reduction is slower than infant and child mortality. The facilities-based cause and predictor of neonatal death in the neonatal intensive care unit were not well documented in this study setting. Hence the aim of this study was to determine the cause and predictors of neonatal mortality among neonates admitted in neonatal intensive care units in eastern Ethiopia. Method: Facilities-based prospective follow-up study was conducted among neonates admitted in neonatal intensive care units of public hospitals in eastern Ethiopia from November to December 2018. Data were collected using pre-tested, structured questionnaire and follow-up checklist. The main outcomes, cause of death was set by senior pediatricians and residents. Epi-Data 3.1 and SPSS 25 version software were used for entry and analysis. Binary logistic regression was used to find out the predictors of facilities-based neonatal mortality.Result: The proportion of facilities-based neonatal mortality was 20%. The top five cause of death was a complication of prematurity 49%, birth asphyxia 37.8%, infection 32.6%, meconium aspiration syndrome 17.3% and congenital malformation 6.1%. Low birth weight, preterm births, length of stay, low 5thminutes Apgar score, hyperthermia and initiation of feeding were predictors of neonatal death among Neonates admitted in neonatal intensive care units in public hospitals, eastern Ethiopia.ConclusionIn summary, the proportion of facilities-based Neonatal death was unacceptably high. The main causes of death were preventable and treatable. Hence, early detection, anticipating high-risk newborns and timely intervention is very essential. Furthermore, early initiation of feeding and a better referral linkage to tertiary facilities could contribute for reduction of neonatal death in this setting.

scholarly journals Cause and Predictors of Neonatal Mortality among Neonates admitted to Neonatal Intensive Care Units of Public Hospitals in eastern Ethiopia: Facilities based Prospective follow-up study

2019 ◽  
Author(s):  
Assefa Desalew ◽  
Yitagesu Sintayehu ◽  
Nardos Teferi ◽  
Firehiwot Amare ◽  
Bifitu Geda ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Death ◽  
Neonatal Intensive Care ◽  
Public Hospitals ◽  
Neonatal Intensive Care Units ◽  
Eastern Ethiopia ◽  
Follow Up Study

Abstract Background: The first month is the most crucial period for child survival. Neonatal mortality is stagnated in sub-Saharan Africa including Ethiopia. And the trend in reduction is slower than infant and child mortality. The facilities-based cause and predictor of neonatal death in the neonatal intensive care unit were not well documented in this study setting. Hence the aim of this study was to determine the cause and predictors of neonatal mortality among neonates admitted in neonatal intensive care units in eastern Ethiopia. Method: Facilities-based prospective follow-up study was conducted among neonates admitted in neonatal intensive care units of public hospitals in eastern Ethiopia from November to December 2018. Data were collected using pre-tested, structured questionnaire and follow-up checklist. The main outcomes, cause of death was set by senior pediatricians and residents. Epi-Data 3.1 and SPSS 25 version software were used for entry and analysis. Binary logistic regression was used to find out the predictors of facilities-based neonatal mortality. Result: The proportion of facilities-based neonatal mortality was 20%. The top five cause of death was a complication of prematurity 49%, birth asphyxia 37.8%, infection 32.6%, meconium aspiration syndrome 17.3% and congenital malformation 6.1%. Low birth weight, preterm births, length of stay, low 5 th minutes Apgar score, hyperthermia and initiation of feeding were predictors of neonatal death among Neonates admitted in neonatal intensive care units in public hospitals, eastern Ethiopia. Conclusion In summary, the proportion of facilities-based Neonatal death was unacceptably high. The main causes of death were preventable and treatable. Hence, early detection, anticipating high-risk newborns and timely intervention is very essential. Furthermore, early initiation of feeding and a better referral linkage to tertiary facilities could contribute for reduction of neonatal death in this setting. Keywords: Facilities based study, Neonatal mortality, predictors, NICU, Ethiopia

Neonatal Mortality Statistics

PEDIATRICS ◽  
1984 ◽  
Vol 74 (1) ◽  
pp. 168-168
Author(s):  
SAM SHAPIRO ◽  
MARIE C. MCCORMICK ◽  
BARBARA STARFIELD
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Intensive Care ◽  
Neonatal Intensive Care Units ◽  
Mortality Statistics ◽  
Total Reduction ◽  
Social Environmental

In Reply.— Sepkowitz uses data in our paper to question the influence of neonatal intensive care units (NICUs) during the 1970s in reducing neonatal mortality. Part of the argument is based on the calculation that about 43% of the total reduction in such deaths between 1976 and 1978 to 1979 occurred among infants weighing more than 2,500 g at birth, a group for which "neonatal intensive care ... would seldom be necessary ..." Certainly there are many factors—social, environmental, and medical, including improved care in the antenatal and intrapartum periods—that have affected the reduction in neonatal mortality.

scholarly journals Incidence Density Rate of Neonatal Mortality and Predictors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Zebenay Workneh Bitew ◽  
Ayinalem Alemu ◽  
Ermias Getaneh Ayele ◽  
Desalegn Abebaw Jember ◽  
Michael Tamene Haile ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Mortality ◽  
Intensive Care Units ◽  
Neonatal Intensive Care ◽  
Sub Saharan Africa ◽  
Incidence Density ◽  
Neonatal Intensive Care Units ◽  
Sub Saharan ◽  
Incidence Density Rate ◽  
Density Rate

Background. Neonatal mortality in Sub-Saharan countries is remarkably high. Though there are inconsistent studies about the incidence density rate of neonatal mortalities (IDR) and predictors in Sub-Saharan Africa, they are inconclusive to policymakers and program planners. In this study, the IDR of neonatal mortalities and predictors was determined. Methods. Electronic databases (Web of Science, PubMed, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), World Cat, Google Scholar, and Google) were explored. 20 out of 818 studies were included in this study. The IDRs and predictors of neonatal mortality were computed from studies conducted in survival analysis. Fixed and random effect models were used to compute pooled estimates. Subgroup and sensitivity analyses were performed. Results. Neonates were followed for a total of 1,095,611 neonate-days; 67142 neonate-days for neonates treated in neonatal intensive care units and 1,028,469 neonate-days for community-based studies. The IDRs of neonatal mortalities in neonatal intensive care units and in the community were 24.53 and 1.21 per 1000 person-days, respectively. The IDRs of early and late neonatal mortalities neonatal intensive care units were 22.51 and 5.09 per 1000 neonate-days, respectively. Likewise, the IDRs of early and late neonatal mortalities in the community were 0.85 and 0.31, respectively. Not initiating breastfeeding within one hour, multiple births, rural residence, maternal illness, low Apgar score, being preterm, sepsis, asphyxia, and respiratory distress syndrome were independent predictors of time to neonatal mortality in neonatal intensive care units and male gender, perceived small size, multiple births, and ANC were predictors of neonatal mortality in the community. Conclusion. The incidence density rate of neonatal mortality in Sub-Saharan Africa is significantly high. Multiple factors (neonatal and maternal) were found to be independent predictors. Strategies must be designed to address these predictors, and prospective studies could reveal other possible factors of neonatal mortalities.

scholarly journals The Median Survival Recovery Time and Associated Factors Among Admitted Neonate in Intensive Care Units of Dire Dawa Public Hospitals, East Ethiopia, 2019.

2020 ◽  
Author(s):  
Tariku Derese ◽  
Yalelet Belay ◽  
Zerihun Tariku
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Median Survival ◽  
Recovery Time ◽  
Associated Factors ◽  
Neonatal Intensive Care ◽  
Public Hospitals ◽  
Neonatal Intensive Care Units ◽  
South Central ◽  
Dire Dawa

Abstract Background Neonate is any infants from the birth to 28 days. Most of the neonatal deaths occur in developing countries particularly in sub-Saharan African and south central Asian countries. The ability to predict Length of stay would be valuable to parents and families, clinicians and service providers. Timely Management and treatment of birth complication are important factors in reducing new born mortality. Objective The median Survival Recovery time and associated factors among admitted neonate in intensive care units of Dire Dawa Governmental Hospitals, East Ethiopia, 2019. Methods Facility based retrospective cohort study design was employed to assess recovery time and associated factors of neonate among a total of 499 selected 0–28 days of neonates from two public Hospitals and validated Checklist were used to assess data. Data were entered in to Epi-data version 3.1 and exported to SPSS window version 21.0. Descriptive data were presented by table and graph. To determine the associated factors, Cox regression model was computed with 95% CI and P-value < 0.05 level of significance. Ethical clearance was taken from Dire Dawa University research and technology interchange office and given for all concerned body. Result The overall median survival recovery time of neonates admitted in neonatal intensive care units of Dire Dawa public hospital was 7 Days with 95% CI (6.525–7.475). Among the neonates that admitted in neonatal intensive care units, neonates those who have weight < 2500 g had 1.648 times higher hazard risks to recovery compared to that neonates who have weight greater than or equal to 4000 g with [AHR 1.648 95% CI (1.246–2.179)]. Those neonates who were none intubated had 6.725 higher hazard risks compared to that of intubates neonates [AHR 6.725 95% CI (1.616–27.978)], and those neonates who were not supply oxygen continuously had 1.336 times low probability to for recovery [AHR 1.336 95% CI (1.030–1.733)]. But, the neonates admitted between 1–6 days after birth had 0.521 times higher probability for recovery compared to the neonate with those neonate admitted between 7–28 days of after birth [AHR 0.521 95% CI (0.355–0.763)]. Conclusion Overall median survival recovery time was 7 Days and Birth weight of neonates, Oxygen supply, and Intubation and admission time of neonate between 1–6 days of after birth were factors that significantly associated with recovery time of neonates. Compared to the other study the recovery time of neonates in this study were short and better.

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