Evidence map›Paper›PMID 41926769›Full record

ReviewObstetrics and gynecology2026

Measuring Severe Maternal Morbidity: Current Practices, Challenges, and Opportunities.

Elliott K Main, Andreea A Creanga

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Obstetrics and gynecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Elliott K MainDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University, Palo Alto, California; and the Department of Epidemiology and Public Health and the Department of Obstetrics, Gynecology and Reproductive Sciences, University of Maryland School of Medicine, Baltimore, Maryland.
Andreea A Creanga

Funding

Stanford PRIHSM: Promoting Improvement in Hemorrhage-related Severe Maternal MorbidityU54HD113142 · NICHD · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL, Yasser Y El-Sayed · 2023 to 2026
$11.0M
Maternal Health Data Innovation and Coordination HubU24HD113136 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI Andreea Alina Creanga · 2023 to 2026
$9.3M
Severe Maternal Morbidity: An Investigation of Racial-Ethnic Disparities, Social Disadvantage & Maternal WeightR01NR017020 · NINR · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL · 2018 to 2026
$5.2M
Building a causal pathway framework to identify interventions to prevent severe maternal morbidityR01NR020335 · NINR · STANFORD UNIVERSITY · PI CARMICHAEL, SUZAN L · 2021 to 2025
$3.7M
Developing a refined comorbidity index for use in obstetric patientsR01HD112442 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI Andreea Alina Creanga · 2023 to 2026
$2.2M
Eunice Kennedy Shriver National Institute of Child Health and Human Development RO1HD112442Eunice Kennedy Shriver National Institute of Child Health and Human Development U24HD113136NICHD NIH HHS R01 HD112442NICHD NIH HHS U24 HD113136NICHD NIH HHS U54 HD113142NINR NIH HHS R01 NR017020NINR NIH HHS R01 NR020335NINR NIH HHS RO1NR017020NINR NIH HHS RO1NR020335
6 · The paper itself

Abstract

There is broad consensus that measuring severe maternal morbidity (SMM) is critical to improving maternal health. Despite 50 years of effort by national, international, and professional organizations, determining the ideal SMM measure remains a work in progress. Various SMM measures have been proposed and evolved to fulfill different purposes: population surveillance, hospital-level trends and comparisons, and case reviews for quality improvement. This review examines definitions, strengths, limitations and challenges in data collection for the most-used SMM measures. Also discussed are proposals to expand these measures to include postpartum complications, mental health, and substance use disorders. Regardless of the challenges with definition and data collection, SMM measures are widely used and have become integral to improvement efforts at hospital, state, and national levels in the United States. We anticipate that available measures will continue to evolve to meet the needs of hospital systems and national surveillance moving forward.

Indexed as

Maternal HealthPregnancy ComplicationsFemaleHumansPopulation SurveillancePregnancyUnited States

Identifiers

PMID41926769
PMCPMC13143350

What OpenQuestion holds

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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.