Evidence mapPaperPMID 40132184Full record

ReviewInteractive journal of medical research2025

Informatics Interventions for Maternal Morbidity: Scoping Review.

Jill Inderstrodt, Julia C Stumpff, Rebecca C Smollen, Shreya Sridhar, Sarah A El-Azab, Opeyemi Ojo, Brendan Bowns, David A Haggstrom

Abstract readReview
In one paragraph

Review in Interactive journal of medical research, 2025. 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

8 authors.

Jill InderstrodtDepartment of Health Policy and Management, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0002-2281-6938
Julia C StumpffRuth Lilly Medical Library, Indiana University School of Medicine, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-4462-9460
Rebecca C SmollenDepartment of Public Health, College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States.ORCID https://orcid.org/0009-0007-3061-5419
Shreya SridharSchool of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0009-0005-5103-2752
Sarah A El-AzabDepartment of Health Policy and Management, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-4435-4700
Opeyemi OjoDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0001-6312-0083
Brendan BownsDepartment of Prevention, Corktown Health, Detroit, MI, United States.ORCID https://orcid.org/0009-0000-7125-1032
David A HaggstromCenter for Health Information and Communication, Richard L. Roudebush VA Medical Center, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0003-3637-6950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen have been entering pregnancy less healthy than previous generations, placing them at increased risk for pregnancy complications. One approach to ensuring effective monitoring and treatment of at-risk women is designing technology-based interventions that prevent maternal morbidities and treat perinatal conditions.

objectiveThis scoping review evaluates what informatics interventions have been designed and tested to prevent and treat maternal morbidity.

methodsMEDLINE, Embase, and Cochrane Library were searched to identify relevant studies. The inclusion criteria were studies that tested a medical or clinical informatics intervention; enrolled adult women; and addressed preeclampsia, gestational diabetes mellitus (GDM), preterm birth, Centers for Disease Control and Prevention-defined severe maternal morbidity, or perinatal mental health conditions. Demographic, population, and intervention data were extracted to characterize the technologies, conditions, and populations addressed.

resultsA total of 80 studies were identified that met the inclusion criteria. Many of the studies tested for multiple conditions. Of these, 73% (60/82) of the technologies were tested for either GDM or perinatal mental health conditions, and 15% (12/82) were tested for preeclampsia. For technologies, 32% (28/87) of the technologies tested were smartphone or tablet applications, 26% (23/87) were telehealth interventions, and 14% (12/87) were remote monitoring technologies. Of the many outcomes measured by the studies, almost half (69/140, 49%) were patient physical or mental health outcomes.

conclusionsPer this scoping review, most informatics interventions address three conditions: GDM, preeclampsia, and mental health. There may be opportunities to treat other potentially lethal conditions like postpartum hemorrhage using proven technologies such as mobile apps. Ample gaps in the literature exist concerning the use of informatics technologies aimed at maternal morbidity. There may be opportunities to use informatics for lesser-targeted conditions and populations.

Indexed as

clinical informaticsGDMgestational diabetes mellitusmaternal morbiditymaternitymedical informaticsmotherperinatalpreeclampsiapregnantscoping review

Identifiers

PMID40132184
PMCPMC11979538

What Socratic 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 Socratic graph.