Evidence map›Paper›PMID 32290819›Full record

ArticleBMC pediatrics2020

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.

Assefa Desalew, Yitagesu Sintayehu, Nardos Teferi, Firehiwot Amare, Bifitu Geda, Teshager Worku, Kebebush Abera, Abiyot Asefaw

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 4 pooled it
16.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 4 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Assefa DesalewSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Po. Box 235, Harar, Ethiopia. assefad100@gmail.com.
Yitagesu SintayehuSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Po. Box 235, Harar, Ethiopia.
Nardos TeferiSchool of Medicine, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Firehiwot AmareSchool of Pharmacy, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Bifitu GedaSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Po. Box 235, Harar, Ethiopia.
Teshager WorkuSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Po. Box 235, Harar, Ethiopia.
Kebebush AberaSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Po. Box 235, Harar, Ethiopia.
Abiyot AsefawSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Po. Box 235, Harar, Ethiopia.
Haramaya University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Infant MortalityIntensive Care Units, NeonatalAsphyxia NeonatorumCongenital AbnormalitiesEthiopiaFemaleFollow-Up StudiesHospital MortalityHospitals, PublicHumansInfantInfant, NewbornInfectionsMeconium Aspiration SyndromePregnancyPremature BirthEthiopiaFacility-based studyNeonatal mortalityNICUPredictors

Identifiers

PMID32290819
PMCPMC7155275
OpenAlexW3015235746

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.