Evidence map›Paper›PMID 35813510›Full record

Observational studyBulletin of the World Health Organization2022

Indicators for maternal near miss: an observational study, India.

Divya Mecheril Balachandran, Dhamotharan Karuppusamy, Dilip Kumar Maurya, Sitanshu Sekhar Kar, Anish Keepanasseril

Abstract readObservational Study
In one paragraph

Observational study in Bulletin of the World Health Organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
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.

Divya Mecheril BalachandranDepartment of Obstetrics & Gynaecology, Jawaharlal Institute of Postgraduate Medical Education & Research, Dhanvantri Nagar, Puducherry, 605006, India.
Dhamotharan KaruppusamyDepartment of Obstetrics & Gynaecology, Jawaharlal Institute of Postgraduate Medical Education & Research, Dhanvantri Nagar, Puducherry, 605006, India.
Dilip Kumar MauryaDepartment of Obstetrics & Gynaecology, Jawaharlal Institute of Postgraduate Medical Education & Research, Dhanvantri Nagar, Puducherry, 605006, India.
Sitanshu Sekhar KarDepartment of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, India.
Anish KeepanasserilDepartment of Obstetrics & Gynaecology, Jawaharlal Institute of Postgraduate Medical Education & Research, Dhanvantri Nagar, Puducherry, 605006, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the incidence of maternal near miss using the World Health Organization (WHO) near-miss tool and six other criteria sets, including criteria designed for low-resource settings or specifically for India. Methods: In a cohort study we used WHO severity indicators to identify women with potentially life-threatening conditions during pregnancy or childbirth admitted to a referral hospital in Puducherry, India, from May 2018 to April 2021. We analysed sociodemographic, clinical and laboratory data for each woman and calculated the incidence of maternal near miss and other process indicators for each set of criteria. Findings: We analysed data on 37 590 live births; 1833 (4.9%) women were identified with potentially life-threatening conditions, 380 women had severe maternal outcomes and 57 died. Applying the different sets of criteria to the same data, we found the incidence of maternal near miss ranged from 7.6 to 15.6 per 1000 live births. Only the Global Network criteria (which exclude laboratory data that may not be available in low-resource settings) and the WHO criteria could identify all women who died. Applying the criterion of any number of units of blood transfusion increased the overall number of women identified with near miss. Conclusion: The WHO and Global Network criteria may be used to detect maternal near miss in low-resource settings. Future studies could assess the usefulness of blood transfusion as an indicator for maternal near miss, especially in low- to middle-income countries where the indicator may not reflect severe maternal morbidity if the number of units received is not specified.

Indexed as

Near Miss, HealthcarePregnancy ComplicationsCohort StudiesFemaleHumansIndiaMaleMaternal MortalityPregnancy

Identifiers

PMID35813510
PMCPMC9243687

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.