Evidence map›Paper›PMID 35107412›Full record

ArticleGlobal health action2022

Valid and reliable neonatal near-miss assessment scale in Ethiopia: a psychometric validation.

Mengstu Melkamu Asaye, Kassahun Alemu Gelaye, Yohannes Hailu Matebe, Helena Lindgren, Kerstin Erlandsson

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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  8. Spatial and Temporal Characteristics and Drivers of Agricultural Carbon Emissions in Jiangsu Province, China.International journal of environmental research and public health · 2022
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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

5 authors at 3 institutions in 2 countries.

Mengstu Melkamu AsayeDepartment of Women and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-7889-5578
Kassahun Alemu GelayeDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0003-4647-5178
Yohannes Hailu MatebeDepartment of Pediatrics and Child Health, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Helena LindgrenDepartment of Women's and Children's Health, Karolinska Institute, Solna, Sweden.ORCID 0000-0002-4875-1407
Kerstin ErlandssonDepartment of Women's and Children's Health, Karolinska Institute, Solna, Sweden.ORCID 0000-0002-6910-7047
University of Gondar · ETDalarna University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe concept of a neonatal near miss is used to explain neonates who nearly died but survived a life-threatening complication in the first 28 days of life. We have left many ill surviving (near-miss) neonates, due to a lack of valid and reliable assessment scale, particularly in Ethiopia.

aimWe aim to psychometrically validate the neonatal near-miss assessment scale (NNMAS) for Ethiopia.

methodsA total of 465 live birth neonates were included with the assumption of a participant-to-item ratio of 15:1. A new contextually validated NNMAS was used to collect data. The Kaiseri--Mayer--Olkin (KMO) measure of sampling adequacy with a cutoff value of ≥0.50 for each item was applied. For reliability and validity of NNMAS, exploratory factor analysis using principal component analysis with oblique varimax rotation was used. Internal consistency and reliability were assessed using Cronbach's alpha. Convergent and discriminant validity was assessed using composite reliability (CR) and average variance extracted (AVE).

resultsThe Kaiser--Mayer--Olkin (KMO = 0.74) measure of sampling adequacy and Bartlett's Sphericity test for the appropriateness of the identity matrix (

conclusionThe neonatal near-miss assessment scale was found to be valid and reliable in the present context. The scale can be used to identify near-miss neonates in Ethiopia.

Indexed as

Near Miss, HealthcareEthiopiaFactor Analysis, StatisticalHumansInfant, NewbornPsychometricsReproducibility of ResultsSurveys and Questionnairesaverage variance extractedcomposite reliabilityConstruct validityfactor analysisneonatal near miss scale

Identifiers

PMID35107412
PMCPMC8812796
OpenAlexW4210297787

What OpenQuestion holds

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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.