Evidence map›Paper›PMID 35435342›Full record

ReviewThe Indian journal of medical research2021

Maternal near miss events in India.

Ragini Kulkarni, Harshal Kshirsagar, Shahina Begum, Anushree Patil, Sanjay Chauhan

Open access · diamondAbstract readReview
In one paragraph

Review in The Indian journal of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 18 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

5 authors at 2 institutions in 2 countries.

Ragini KulkarniDepartment of Operational Research, Clinical Research, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, Maharashtra, India.
Harshal KshirsagarDepartment of Operational Research, Clinical Research, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, Maharashtra, India.
Shahina BegumDepartment of Biostatistics, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, Maharashtra, India.
Anushree PatilDepartment of Clinical Research, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, Maharashtra, India.
Sanjay ChauhanDepartment of Operational & Clinical Research, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai, Maharashtra, India.
National Institute for Research in Reproductive Health · INIndian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Maternal morbidity is an indicator of the quality of a country's maternal health services. Maternal near miss (MNM) can provide valuable information in this context and hence these cases need to be reviewed which can indirectly play a major role in reducing maternal mortality ratio in India. The objectives of the present review were to find the prevalence/incidence, criteria used for identification, review the causes of MNM cases and identify the contributory factors responsible for the occurrence of these cases based on three-delay model. Methods: Articles were identified from the PubMed, Google Scholar, Scopus and Cochrane Library using search terms such as 'Maternal Near Miss','maternal morbidity', 'India' among others. All health facility-based observational studies conducted in India published between 2010 to 2019 irrespective of data collection period, and criteria used for identification of MNM cases were included for review. Data were extracted from included studies and summarized in terms of prevalence/incidence, ratio and percentage. Results: Out of 25 studies, majority were prospective observational conducted at government health facilities. The incidence of MNM varied widely from 3.9 to 379.5 per 1000 live births and 7.6-60.4 per 1000 deliveries. MNM: Maternal Death varied from 1.7:1 to 21.8:1; studies used different criteria to define MNM cases. Interpretation & conclusions: Hypertensive disorders and anaemia were the leading direct and indirect causes of MNM, respectively. There was a lack of uniformity in using the criteria for MNM across studies conducted in India over the last decade. Future studies on MNM in India should follow the uniform criteria mentioned in the MNM-Review guidelines released by the Government of India in 2014 for obtaining systematic data and proper summary estimates.

Indexed as

Maternal Health ServicesNear Miss, HealthcarePregnancy ComplicationsFemaleHumansIndiaMaternal MortalityObservational Studies as TopicPregnancyIncidenceIndiamaternal near missprevalencereviewWHO criteria

Identifiers

PMID35435342
PMCPMC9205009
OpenAlexW4285555499

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.