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

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About: Cause and predictors of neonatal mortality among neonates admitted to neonatal intensive care units of public hospitals in eastern Ethiopia: a facility-based prospective follow-up study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Cause and predictors of neonatal mortality among neonates admitted to neonatal intensive care units of public hospitals in eastern Ethiopia: a facility-based prospective follow-up study
Creator	Abera, Kebebush Amare, Firehiwot Asefaw, Abiyot Desalew, Assefa Geda, Bifitu Sintayehu, Yitagesu Teferi, Nardos Worku, Teshager
Source	PMC
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 in prospective follow-up study was conducted among neonates admitted to neonatal intensive care units of public hospitals of 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. EpiData 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 of the neonatal intensive care unit, low 5 min APGAR score, hyperthermia, and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units of 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.
has issue date	2020-04-14(xsd:dateTime)
bibo:doi	10.1186/s12887-020-02051-7
bibo:pmid	32290819
has license	cc-by
sha1sum (hex)	88cbf50f4738413bc7aadd62fc0154aa869f8c74
schema:url	https://doi.org/10.1186/s12887-020-02051-7
resource representing a document's title	Cause and predictors of neonatal mortality among neonates admitted to neonatal intensive care units of public hospitals in eastern Ethiopia: a facility-based prospective follow-up study
has PubMed Central identifier	PMC7155275
has PubMed identifier	32290819
schema:publication	BMC Pediatr
resource representing a document's body	covid:88cbf50f4738413bc7aadd62fc0154aa869f8c74#body_text
is schema:about of	named entity 'progress' named entity 'HEALTH ISSUE' named entity 'PROGRESS' named entity 'PERIOD' named entity 'continues' named entity 'neonatal mortality' named entity 'remain' named entity 'Neonatal mortality' named entity 'child survival' named entity 'neonatal mortality' named entity 'WHO' named entity 'neonatal deaths' named entity 'India' named entity 'neonatal death' named entity 'neonatal death' named entity 'intestines' named entity 'preterm birth' named entity 'logistic regression' named entity 'pediatric resident' named entity 'prenatal visit' named entity 'Preterm' named entity 'neonatal mortality' named entity 'neonatal mortality' named entity 'sample size' named entity 'morbidity' named entity 'Neonatal Intensive Care Units' named entity 'medical records' named entity 'public hospitals' named entity 'live births' named entity 'prematurity' named entity 'Birth weight' named entity 'Gondar' named entity 'birth asphyxia' named entity 'birth asphyxia' named entity 'tissue hypoxia' named entity 'World Health Organization' named entity 'menstrual period' named entity 'public health' named entity 'sampling error' named entity 'Dire Dawa' named entity 'Univariate analysis' named entity 'neonatal death' named entity 'umbilical cord' named entity 'Oromia' named entity 'Haramaya University' named entity 'logistic regression' named entity 'neonatal mortality' named entity 'ANC' named entity 'data collection' named entity 'NICU' named entity 'Ethiopia' named entity 'NICU' named entity 'public hospitals' named entity 'neonates' named entity 'AOR' named entity 'fever' named entity 'intravenous fluids' named entity 'neonatal deaths' named entity 'infant deaths' named entity 'Sustainable Development Goals' named entity 'neonatal infection' named entity 'neonatal infections' named entity 'MPH' named entity 'coma' named entity 'obstetric' named entity 'South Sudan' named entity 'live births' named entity 'Addis Ababa' named entity 'ventilator support' named entity 'neonatal death' named entity 'preterm birth' named entity 'high-risk' named entity 'neonates' named entity 'sample size'

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