scholarly journals Trends in Chlorhexidine Use in US Neonatal Intensive Care Units: Results From a Follow-Up National Survey

2016 ◽  
Vol 37 (9) ◽  
pp. 1116-1118 ◽  
Author(s):  
Julia Johnson ◽  
Rebecca Bracken ◽  
Pranita D. Tamma ◽  
Susan W. Aucott ◽  
Cynthia Bearer ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
National Survey ◽  
Neonatal Intensive Care ◽  
Neonatal Intensive Care Units

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 Practice patterns of physiotherapists in neonatal intensive care units: A national survey

2013 ◽  
Vol 17 (6) ◽  
pp. 359-366 ◽  
Author(s):  
Shyam Krishnan ◽  
Tejas Chokshi ◽  
Gopala Krishna Alaparthi ◽  
K. Vaishali ◽  
C.P. Zulfeequer
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
National Survey ◽  
Neonatal Intensive Care ◽  
Practice Patterns ◽  
Neonatal Intensive Care Units

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

Sign in / Sign up

Export Citation Format

Share Document