Evidence map›Paper›PMID 37294462›Full record

ReviewMaternal and child health journal2023

Leveraging Population Health Datasets to Advance Maternal Health Research.

Dana Beck, Stephanie Hall, Deena Kelly Costa, Lindsay Admon

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Maternal and child health journal, 2023. 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

4 authors.

Dana BeckNational Clinician Scholars Program, University of Michigan, Ann Arbor, MI, USA. dbeck@sonnet.ucla.edu.ORCID http://orcid.org/0000-0001-5405-2744
Stephanie HallDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
Deena Kelly CostaNational Clinician Scholars Program, University of Michigan, Ann Arbor, MI, USA.
Lindsay AdmonInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Funding

Understanding the impact of perinatal insurance disruptions on maternal and child health outcomesK08HS027640 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ADMON, LINDSAY KENNEDY · 2021 to 2025
$776k
AHRQ HHS K08 HS027640AHRQ HHS K08HS027640
6 · The paper itself

Abstract

backgroundMaternal mortality is a public health crisis in the U.S., with no improvement in decades and worsening disparities during COVID-19. Social determinants of health (SDoH) shape risk for morbidity and mortality but maternal structural and SDoH are under-researched using population health data. To expand knowledge of those at risk for or who have experienced maternal morbidity and inform clinical, policy, and legislative action, creative use of and leveraging existing population health datasets is logical and needed.

methodsWe review a sample of population health datasets and highlight recommended changes to the datasets or data collection to better inform existing gaps in maternal health research.

resultsAcross each of the datasets we found insufficient representation of pregnant and postpartum individuals and provide recommendations to enhance these datasets to inform maternal health research.

conclusionsPregnant and postpartum individuals should be oversampled in population health data to facilitate rapid policy and program evaluation. Postpartum individuals should no longer be hidden within population health datasets. Individuals with pregnancies resulting in outcomes other than livebirth (e.g., abortion, stillbirth, miscarriage) should be included, or asked about these experiences.

Indexed as

Abortion, SpontaneousCOVID-19FemaleHumansMaternal HealthPostpartum PeriodPregnancyStillbirthMaternal healthPostpartumPregnancySocial determinants of healthStructural determinants of health

Identifiers

PMID37294462
PMCPMC10251319

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.