Evidence map›Paper›PMID 31057630›Full record

ReviewIranian journal of nursing and midwifery research

The Maternal Near Miss Incidence Ratio with WHO Approach in Iran: A Systematic Review and Meta-Analysis.

Sedigheh Abdollahpour, Hamid Heidarian Miri, Talat Khadivzadeh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Review
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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

3 authors.

Sedigheh AbdollahpourDepartment of Midwifery, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamid Heidarian MiriSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Talat KhadivzadehNursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal near miss (MNM) is one of the important criteria for checking the quality of care in maternal health. This systematic review and meta-analysis study was conducted in 2017 to evaluate the incidence ratio of MNM using the World Health Organization approach in Iran. MATERIALS AND

methodsThis study was designed based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist for systematic reviews, and Web of Science and PubMed databases were searched systematically, which, respectively, yielded 171 and 137 papers published before June 9, 2017. To include papers written in Persian by Iranian scholars, Google Scholar database was searched and 542 papers were retrieved. Finally, 12 papers which had covered the topic more appropriately were included in the study. Random-effects meta-analysis was used to pool the incidence ratio. Heterogeneity was explored using formal tests and subgroup analyses, then the study quality was also explored.

resultsThe pooling of overall potentially life-threatening conditions ratio was I2 (97.60%,

conclusionsThe incidence ratio of MNM needs more attention in Iran. Therefore, it is necessary to identify the factors related to MNM and then implement suitable strategies to reduce the risk factors of the maternal morbidity and improve the quality of maternal care in facilities.

Indexed as

IranLife-threatening conditionsmaternal near misssevere maternal morbidityWHO approach

Identifiers

PMID31057630
PMCPMC6485025

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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.