Evidence map›Paper›PMID 26935070›Full record

ArticleBMC pregnancy and childbirth2016

Constructing maternal morbidity - towards a standard tool to measure and monitor maternal health beyond mortality.

Doris Chou, Özge Tunçalp, Tabassum Firoz, Maria Barreix, Veronique Filippi, Peter von Dadelszen, Nynke van den Broek, Jose Guilherme Cecatti, Lale Say, Maternal Morbidity Working Group

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 7 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

92 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  6. The frequency of maternal morbidity: A systematic review of systematic reviews.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2018
    Pooled it
  7. Pooled it
  8. Trial
  9. Article
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  12. Article
  13. Acceptability and use of the Saving Mothers mPOWHER Maternal Health Kit.Journal of racial and ethnic health disparities · 2026
    Article
  14. Observational
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  18. Observational
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32 more citing papers are in PubMed but not listed here.

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

10 authors.

Doris ChouUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland. choud@who.int.
Özge TunçalpUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland. tuncalpo@who.int.
Tabassum FirozUniversity of British Columbia, Vancouver, Canada. tabassum@interchange.ubc.ca.
Maria BarreixUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland. barreixm@who.int.
Veronique FilippiSt. George's, University of London, London, UK. veronique.filippi@lshtm.ac.uk.
Peter von DadelszenLondon School of Hygiene & Tropical Medicine, London, UK. pvd@sgul.ac.uk.
Nynke van den BroekCentre for Maternal and Newborn Health, Liverpool School of Tropical Medicine, Liverpool, UK. Nynke.vandenBroek@lstmed.ac.uk.
Jose Guilherme CecattiUNICAMP, Faculdade de Ciências Médicas, Caixa Postal 6030, 13081-970, Campinas, SP, Brazil. cecatti@unicamp.br.
Lale SayUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland. sayl@who.int.
Maternal Morbidity Working Group

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundMaternal morbidity is a complex entity and its presentation and severity are on a spectrum. This paper describes the conceptualization and development of a definition for maternal morbidity, and the framework for its measurement: the maternal morbidity matrix, which is the foundation for measuring maternal morbidity, thus, the assessment tool. DISCUSSION: We define maternal morbidity and associated disability as "any health condition attributed to and/or complicating pregnancy and childbirth that has a negative impact on the woman's wellbeing and/or functioning." A matrix of 121 conditions was generated through expert meetings, review of the International Classification of Diseases and related health problems (ICD-10), literature reviews, applying the definition of maternal morbidity and a cut-off of >0.1% prevalence. This matrix has three dimensions: identified morbidity category, reported functioning impact and maternal history. The identification criteria for morbidity include 58 symptoms, 29 signs, 44 investigations and 35 management strategies; these criteria are aimed at recognizing the medical condition, or the functional impact/disability component that will capture the negative impact experienced by the woman. The maternal morbidity matrix is a practical framework for assessing maternal morbidity beyond near-miss. In light of the emerging attention to Universal Health Coverage (UHC) as part of the post-2015 Sustainable Development Goals (SDGs) planning, a definition and standard identification criteria are essential to measuring its extent and impact.

Indexed as

MorbidityPregnancy ComplicationsTerminology as TopicFemaleHumansMaternal HealthPregnancy

Identifiers

PMID26935070
PMCPMC4774187

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.