Evidence map›Paper›PMID 34103025›Full record

ArticleBMC pediatrics2021

The determinants of 5th minute low Apgar score among newborns who delivered at public hospitals in Hawassa City, South Ethiopia.

Alex Yeshaneh, Andargachew Kassa, Zemenu Yohannes Kassa, Daniel Adane, Yohannes Fikadu, Semahegn Tilahun Wassie, Biresaw Wassihun Alemu, Mesfin Tadese, Solomon Shitu, Haimanot Abebe

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Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Alex YeshanehDepartment of Midwifery, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia. alexyeshaneh7@gmail.com.
Andargachew KassaDepartment of Nursing, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Zemenu Yohannes KassaDepartment of midwifery, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Daniel AdaneDepartment of Midwifery, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Yohannes FikaduDepartment of Midwifery, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Semahegn Tilahun WassieDepartment of Midwifery, College of Medicine and Health Sciences, Mizan Tepi University, Mizan Tepi, Ethiopia.
Biresaw Wassihun AlemuDepartment of Midwifery, College of Medicine and Health Sciences, Arbaminch University, Arbaminch, Ethiopia.
Mesfin TadeseDepartment of Midwifery, College of Medicine and Health Sciences, Debrebirhan University, Debrebirhan, Ethiopia.
Solomon ShituDepartment of Midwifery, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Haimanot AbebeDepartment of Public Health, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.
Wolkite University · ETHawassa University · ETArba Minch University · ETDebre Berhan University · ETMizan Tepi University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNewborn morbidity and mortality are forecasted using the Apgar scores. Obstetricians worldwide have used the Apgar score for more than half a century for the assessment of immediate newborn conditions. It is a simple and convenient evaluation system that offers a standardized and effective assessment of newborn infants. Neonatal morbidity and mortality can be reduced if high-risk neonates are identified and managed adequately. This study aimed to assess the determinants of 5th minute low Apgar score among newborns at Public hospitals in Hawassa city, South Ethiopia.

methodsA hospital-based unmatched case-control study was conducted at Public Hospitals in Hawassa city. Data were collected from 134 cases and 267 controls using a structured and pre-tested questionnaire by observing, interviewing, and reviewing patient cards. Newborns who delivered with a 5th minute Apgar score < 7 were considered as cases; whereas a similar group of newborns with a 5th minute Apgar score of ≥ 7 were categorized as controls. A consecutive sampling technique was employed to recruit cases, while a simple random sampling technique was used to select controls. Data entry and analysis were performed using Epi Data version 3.1 and SPSS version 20 respectively. Binary and multivariable analyses with a 95 % confidence level were performed. In the final model, variables with P < 0.05 were considered statistically significant.

resultsAfter controlling for possible confounding factors, the results showed that lack of physical and emotional support during labor and delivery [AOR = 3.5, 95 %CI:1.82-6.76], rural residence [AOR = 4, 95 %CI: 2.21-7.34], lack of antenatal care follow up [AOR = 3.5, 95 % CI: 1.91-6.33], anemia during pregnancy [AOR = 2.3,95 %CI: 1.10-4.71] and low birth weight [AOR = 6.2, 95 %CI: 2.78-14.03] were determinant factors of low Apgar scores. The area under the Apgar score ROC curve was 87.4 %.

conclusionsLack of physical and emotional support, rural residence, lack of ANC follow-up, low birth weight, and anemia during pregnancy were determinant factors of a low Apgar score. `Effective health education during preconception about anemia during pregnancy and ANC will help in detecting high-risk pregnancies that lead to a low Apgar score. In addition to the standard care of using electronic fetal monitoring, increasing access to compassion ships during labor and delivery is recommended.

Indexed as

Hospitals, PublicInfant, Low Birth WeightApgar ScoreCase-Control StudiesEthiopiaFemaleHumansInfantInfant, NewbornPregnancy5th minuteApgar scoreDeterminantEthiopiaNewborn

Identifiers

PMID34103025
PMCPMC8186153
OpenAlexW3166620394

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.