Observational studyBulletin of the World Health Organization2022
Indicators for maternal near miss: an observational study, India.
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.
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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.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Prevalence and risk factors of maternal near miss in India: A systematic review and meta-analysis.The Indian journal of medical research · 2026Pooled it
- Prevalence and determinants of maternal near miss in Ethiopia: a systematic review and meta-analysis, 2023.Systematic reviews · 2025Pooled it
- Global burden of potentially life-threatening maternal conditions: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2024Pooled it
- A Prospective Observational Study of Maternal Near-Miss Cases at a Tertiary Care Center.Cureus · 2026Article
- Article
- Retrospective evaluation of patients admitted to the intensive care unit due to obstetric reasons in terms of maternal near-miss, a five-year case-control study.BMC pregnancy and childbirth · 2025Article
- A cohort study of maternal near-miss events and its adverse perinatal outcomes: an obstetrical finding in Northwest Ethiopia.AJOG global reports · 2024Article
- Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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