Evidence map›Paper›PMID 42272684›Full record

ArticlePregnancy (Hoboken, N.J.)2025

Common data elements for maternal health research: Expert consensus emerging from a modified Delphi study.

Elizabeth K Stierman, Carrie Wolfson, Sarah Clifford, Meighan Mary, Amanda Burgess, Khyzer B Aziz, Dana Sarnak, Jessica L Gleason, Paul Nagy, Andreea A Creanga and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2025. 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

5 · Who and what money

Authors and funding

11 authors.

Elizabeth K StiermanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-3866-3542
Carrie WolfsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sarah CliffordDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Meighan MaryDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Amanda BurgessDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Khyzer B AzizDepartment of Neonatology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Dana SarnakDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jessica L GleasonEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.
Paul NagyDepartment of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Andreea A CreangaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Maternal Health CDE Delphi Panel

Funding

Maternal Health Data Innovation and Coordination HubU24HD113136 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI Andreea Alina Creanga · 2023 to 2026
$9.3M
NICHD NIH HHS U24 HD113136
6 · The paper itself

Abstract

Introduction: Common data elements (CDEs) are critical for providing consistency in data collection and promoting collaboration across research endeavors. This study aims to develop a minimum set of priority CDEs for maternal health research. Methods: The Results: Delphi panelists prioritized 36 biomedical and 22 psychosocial constructs for standardized data collection. A literature review identified 204 CDE candidates (89 biomedical and 115 psychosocial) for measuring priority constructs. Delphi panelists rated their validity and feasibility and, subsequently, endorsed top-rated CDEs. CDE recommendations include expert-endorsed, standardized measures for maternal health conditions, outcomes, medical care, health history, behavioral health, social factors, and demographics, with guidance on data sources, measurement methods, and ethical considerations. Conclusion: Through an expert consensus-building process, our study produced recommendations for harmonizing data collection of a minimum set of priority constructs for maternal health research. These CDEs are expected to help improve data quality and interoperability, fostering opportunities to synthesize information and advance maternal health science.

Indexed as

common data elementsdata collectiondata scienceDelphi techniqueinteroperabilitymaternal health

Identifiers

PMID42272684
PMCPMC13249392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.