Evidence map›Paper›PMID 40929717›Full record

SynthesisJournal of medical Internet research2025

eHealth and Hypertensive Disorders of Pregnancy: Systematic Review.

Hillary Hu, Nargis Noori, Vincent Lee, Clara Chow, Ngai Wah Cheung, Kanchana Ekanayake, Monica Zen

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet 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

7 authors.

Hillary HuFaculty of Medicine, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-5535-8750
Nargis NooriDepartment of Obstetrics and Gynaecology, Westmead Hospital, Corner of Darcy and Hawkesbury Roads, Sydney, 2145, Australia, 61 88905555.ORCID http://orcid.org/0000-0001-7027-3862
Vincent LeeWestmead Applied Research Centre, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-9400-3696
Clara ChowWestmead Applied Research Centre, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-4693-0038
Ngai Wah CheungCentre for Diabetes and Endocrinology Research, University of Sydney, Westmead Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0001-6323-8006
Kanchana EkanayakeUniversity of Sydney Library, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-4324-311X
Monica ZenFaculty of Medicine, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-6441-9818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertensive disorders of pregnancy (HDP) affect up to 10% of pregnancies and can have adverse short and long-term implications for women and their babies. eHealth interventions include any health service or treatment delivered using the internet and related technology that aims to facilitate, capture, or exchange knowledge. eHealth interventions are increasingly used across many health care settings with improved outcomes. Objective: There have been no previous systematic reviews examining eHealth interventions and HDP. It is important to conduct this review as strategies to improve the monitoring and management of HDP can reduce morbidity, and potentially, mortality associated with HDP. Methods: We conducted a systematic review to examine all eHealth interventions targeted at patients at risk of or with HDP, the feasibility, acceptability of these interventions, and secondary outcomes, including clinical outcomes and resource utilization. The searches included two main concepts: eHealth interventions and HDP. Subject headings for the terms "telehealth," "ehealth," "digital health," "telemedicine" and "preeclampsia," "pregnancy induced hypertension," "gestational hypertension," and "high blood pressure" were used. The search was conducted on all papers published from the database inception to August 24, 2024. Meta-analyses of randomized controlled trial findings were conducted where possible. Other outcomes were reported in a narrative style with a summation of findings. Results: A total of 100 publications were identified with 61,539 participants. Interventions were primarily targeted at self-monitoring of blood pressure (BP) with reminders for BP checks, transmission of BP and HDP symptom data, and two-way communication between patients and care providers. In observational studies, there was no significant difference in clinical outcomes. Within qualitative outcomes, eHealth interventions appeared to be feasible, and all studies showed that participants were satisfied and found eHealth interventions easy to use. There was equivocal evidence regarding the cost benefits of eHealth interventions, but it did demonstrate largely reduced health care service utilization. In a meta-analysis of randomized controlled trial data, eHealth interventions reduced readmission rates (odds ratio [OR] 0.4, 95% CI 0.23-0.71), improved the likelihood of BP ascertainment (OR 7.02, 95% CI 4.41-11.15), and improved attendance at postpartum hypertension clinic (OR 1.44, 95% CI 0.98-2.12). Conclusions: The current evidence for the use of eHealth interventions targeted at patients at risk of or with HDP is of low quality and insufficient to make a recommendation regarding their routine use in clinical care. Our findings indicate that there is poor quality and low-level evidence that eHealth interventions are feasible, safe, and acceptable to patients. There is very limited evidence that it has the potential to reduce health care utilization, improve follow-up and BP ascertainment, reduce admissions, as well as confer some economic benefit compared to usual care with a generally positive patient experience with minimal patient concerns.

Indexed as

Hypertension, Pregnancy-InducedTelemedicineFemaleHumansPregnancyblood pressuredigital healthhypertensionmobile phonepreeclampsiapregnancySMS text messagestelehealth

Identifiers

PMID40929717
PMCPMC12422594

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.