Evidence map›Paper›PMID 40478529›Full record

ArticleWomen's health (London, England)

The need for more research into health information technology and maternal health outcomes.

Jamie Kim, Marcia Chen, Robert White

Abstract readEditorial
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jamie KimDepartment of Anesthesiology, Weill Cornell Medical College, New York, USA.
Marcia ChenDepartment of Anesthesiology, Weill Cornell Medical College, New York, USA.ORCID 0009-0004-9473-7421
Robert WhiteDepartment of Anesthesiology, Weill Cornell Medical College, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Racial and ethnic disparities in maternal health persist in the United States despite continued efforts to make healthcare more equitable. The COVID-19 pandemic and overturning of Roe v Wade have further widened existing disparities in maternal healthcare. In this era of advanced technology, innovative tools like health information technology (IT) should be leveraged to address and reduce disparities in maternal health outcomes. Ongoing projects have demonstrated the potential for collaboration to prioritize patient autonomy in improving maternal health. However, further research is necessary to evaluate the effectiveness of these interventions in achieving equitable outcomes.

Indexed as

Healthcare DisparitiesMaternal HealthMaternal Health ServicesMedical InformaticsCOVID-19FemaleHumansPregnancySARS-CoV-2United Statesdigital health technologyethnic disparitieshealth informationhealth information technologymaternal health inequitiesmaternal health outcomesmaternal mortalitymaternal outcomesracial disparitiestelemedicine

Identifiers

PMID40478529
PMCPMC12144377

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.