Evidence map›Paper›PMID 42192347›Full record

ArticleBMC pregnancy and childbirth2026

Digital health interventions for hypertension in pregnant and perinatal women in low- and middle-income countries: a scoping review.

Victor Oluwafemi Femi-Lawal, Austed Mzuma, Alaa Muhammad Alameen, Oluwaseun Dorcas Adeleke, Oluwaseyi Precious Akanbi, Jempeji Azeezat Arinade, Oluwamisimi Mary Abib, Dana Youssri Mohamed, Assam Francis Inalegwu, Chidinma Nwuta and 1 more

Abstract readScoping Review
In one paragraph

Article in BMC pregnancy and childbirth, 2026. 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

11 authors.

Victor Oluwafemi Femi-LawalDepartrment of Medicine and Surgery, College of Medicine, University of Ibadan, 200001, Oyo, Ibadan, Nigeria. victorfemilawal@gmail.com.ORCID http://orcid.org/0000-0003-2747-1681
Austed MzumaMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.ORCID http://orcid.org/0009-0005-7981-8853
Alaa Muhammad AlameenCollege of Oral and Dental Medicine, Karary University, Khartoum, Sudan.ORCID http://orcid.org/0009-0001-8388-319X
Oluwaseun Dorcas AdelekeSumy State University, Sumy, Ukraine.ORCID http://orcid.org/0009-0004-0893-2491
Oluwaseyi Precious AkanbiLagos University Teaching Hospital, Lagos, Nigeria.ORCID http://orcid.org/0009-0006-4681-7712
Jempeji Azeezat ArinadeLagos State University College of Medicine, Lagos, Nigeria.ORCID http://orcid.org/0009-0002-4124-7117
Oluwamisimi Mary AbibIvano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine.ORCID http://orcid.org/0009-0004-5940-842X
Dana Youssri MohamedNew Cairo Technological University, New Cairo, Egypt.ORCID http://orcid.org/0009-0009-9052-285X
Assam Francis InalegwuCaleb University, Lagos, Nigeria.ORCID http://orcid.org/0000-0002-5729-5351
Chidinma NwutaDepartrment of Medicine and Surgery, College of Medicine, University of Ibadan, 200001, Oyo, Ibadan, Nigeria.ORCID http://orcid.org/0009-0000-3125-3287
Hermela Gebregiorgis GebregizabherDepartment of Midwifery, Ambo University, Ambo, Ethiopia.ORCID http://orcid.org/0009-0003-7099-8953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertensive disorders during pregnancy constitute a significant public health concern in low- and middle-income countries, but digital health interventions may have the potential to improve outcomes. This study examined the current state of digital health interventions for hypertension during pregnancy and evaluated their effectiveness in improving outcomes.

methodsThis study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We comprehensively searched the PubMed and Google databases for keywords related to digital health, mobile health, hypertension during pregnancy, preeclampsia, eclampsia, and low- and middle-income countries. The articles were then screened for eligibility. Only studies published in low- and middle-income countries that highlighted digital health interventions for hypertensive disorders during pregnancy were included. Data from the included studies were extracted into a spreadsheet. A narrative synthesis was then conducted to summarize the study outcomes.

resultsFifteen studies were included in this review, including five randomized controlled trials, 2 quasi-experimental studies, and 6 observational studies. Six of the reported interventions were targeted at pregnant women, 6 were targeted at healthcare workers, 1 was directed toward caregivers of pregnant women, and 2 had unclear target populations. The digital interventions included health education solutions, telehealth and telemonitoring solutions, clinical decision support systems, diagnostic and screening tools, and healthcare worker training and mentorship programs. The effectiveness of the interventions in improving outcomes varied across studies, with various barriers and facilitators highlighted in each study.

conclusionDigital health interventions show significant promise in improving healthcare accessibility for women at risk of hypertensive disorders, such as preeclampsia, during pregnancy. By addressing various barriers and harnessing key facilitators such as community engagement, integration into current health systems, and creating strategic partnerships, digital interventions have the potential to significantly transform healthcare delivery for pregnant women at risk of hypertensive disorders.

Indexed as

Hypertension, Pregnancy-InducedDeveloping CountriesDigital HealthFemaleHumansPregnancyTelemedicineDigital healthEclampsiaHypertensionLMICsLow- and middle-income countriesmHealthPreeclampsiaPregnancy

Identifiers

PMID42192347
PMCPMC13390198

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.