ArticleSAGE open medicine2022
Magnitude of neonatal near miss in public hospitals in Eastern Ethiopia: A cross-sectional study.
Article in SAGE open medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Incidence, risk factors and outcomes of neonatal near miss in Lagos, Nigeria: a prospective case-control study.BMC pediatrics · 2025Article
- Neonatal near miss and associated factors among neonates delivered at East Gojjam zone public health hospitals, Northwest Ethiopia.Scientific reports · 2025Article
- Magnitude of NNM and associated factors among Newborns delivered at the North Shewa zone Public Health Hospital, Central Ethiopia: A multi-level analysis.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Although neonatal near miss is an emerging concept and a tool for improving neonatal care, its magnitude and associated factors are less researched in Ethiopia. Thus, this study was aimed to uncover the magnitude of neonatal near miss and its associated factors in public hospitals in Eastern Ethiopia. Methods: A facility-based cross-sectional study was employed on a randomly selected 405 mother-neonate pairs. An interview using a structured questionnaire accompanied by review of medical records was used to collect data from the mothers and records of the neonates. Neonatal near miss was defined as having any of the pragmatic (gestational age < 33 weeks, birth weight < 1750 g, and fifth minutes Apgar score < 7) or management criteria. Crude and adjusted logistic regression analysis was done to identify associated factors and presented with adjusted odds ratio with 95% confidence interval. Results: Of 401 mother-neonate pairs included in the study, 126 (31.4%, 95% confidence interval = [26.9, 36.2]) neonates had at least one neonatal near miss event at discharge. Neonatal near miss was more likely among neonates from referred women (adjusted odds ratio = 2.24, 95% confidence interval = [1.25, 4.03]), no antenatal care (adjusted odds ratio = 2.08, 95% confidence interval = [1.10, 3.93]), antepartum hemorrhage (adjusted odds ratio = 4.29, 95% confidence interval = [2.16, 8.53]), premature rupture of membrane (adjusted odds ratio = 4.07, 95% confidence interval = [2.05, 8.07]), obstructed labor (adjusted odds ratio = 2.61, 95% confidence interval = [1.23, 5.52]), non-vertex presentation (adjusted odds ratio = 3.03, 95% confidence interval = [1.54, 5.95]), and primiparous (adjusted odd ratio = 2.67, 95% confidence interval = [1.49, 4.77]). Conclusions: In this study, we found that neonatal near miss is higher than previous findings in Ethiopia. Improving neonatal near miss requires promoting antenatal care, maternal referral system, and early identification and management of obstetric complications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.