Evidence map›Paper›PMID 26091424›Full record

ArticlePloS one2015

High Incidence of Neonatal Danger Signs and Its Implications for Postnatal Care in Ghana: A Cross-Sectional Study.

Sumiyo Okawa, Evelyn Korkor Ansah, Keiko Nanishi, Yeetey Enuameh, Akira Shibanuma, Kimiyo Kikuchi, Junko Yasuoka, Margaret Gyapong, Seth Owusu-Agyei, Abraham Rexford Oduro and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 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

14 authors at 5 institutions in 2 countries.

Sumiyo OkawaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Evelyn Korkor AnsahResearch and Development Division, Ghana Health Service, Accra, Ghana.
Keiko NanishiDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yeetey EnuamehKintampo Health Research Centre, Kintampo, Brong-Ahafo, Ghana.
Akira ShibanumaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kimiyo KikuchiDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Junko YasuokaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Margaret GyapongDodowa Health Research Centre, Dodowa, Greater Accra, Ghana.
Seth Owusu-AgyeiKintampo Health Research Centre, Kintampo, Brong-Ahafo, Ghana.
Abraham Rexford OduroNavrongo Health Research Centre, Navrongo, Upper East, Ghana.
Gloria Quansah AsareGhana Health Service, Accra, Ghana.
Abraham HodgsonResearch and Development Division, Ghana Health Service, Accra, Ghana.
Masamine JimbaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ghana EMBRACE Implementation Research Project Team
The University of Tokyo · JPGhana Health Service · GHKintampo Health Research Centre · GHDodowa Health Research Centre · GHNavrongo Health Research Centre · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing neonatal mortality is a major public health priority in sub-Saharan Africa. Numerous studies have examined the determinants of neonatal mortality, but few have explored neonatal danger signs which potentially cause morbidity. This study assessed danger signs observed in neonates at birth, determined the correlations of multiple danger signs and complications between neonates and their mothers, and identified factors associated with neonatal danger signs.

methodsA cross-sectional study was conducted in three sites across Ghana between July and September in 2013. Using two-stage random sampling, we recruited 1,500 pairs of neonates and their mothers who had given birth within the preceding two years. We collected data on their socio-demographic characteristics, utilization of maternal and neonatal health services, and experiences with neonatal danger signs and maternal complications. We calculated the correlations of multiple danger signs and complications between neonates and their mothers, and performed multiple logistic regression analysis to identify factors associated with neonatal danger signs.

resultsMore than 25% of the neonates were born with danger signs. At-birth danger signs in neonates were correlated with maternal delivery complications (r = 0.20, p < 0.001), and neonatal complications within the first six weeks of life (r = 0.19, p < 0.001). However, only 29.1% of neonates with danger signs received postnatal care in the first two days, and 52.4% at two weeks of life. In addition to maternal complications during delivery, maternal age less than 20 years, maternal education level lower than secondary school, and fewer than four antenatal care visits significantly predicted neonatal danger signs.

conclusionsOver a quarter of neonates are born with danger signs. Maternal factors can be used to predict neonatal health condition at birth. Management of maternal health and close medical attention to high-risk neonates are crucial to reduce neonatal morbidity in Ghana.

Indexed as

Postnatal CareAdolescentAdultCross-Sectional StudiesDemographyFemaleGhanaHealth Knowledge, Attitudes, PracticeHumansIncidenceInfantInfant MortalityInfant, NewbornInfant, Newborn, DiseasesLogistic ModelsMaternal Age

Identifiers

PMID26091424
PMCPMC4474560
OpenAlexW1545753654

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.