Evidence map›Paper›PMID 41587461›Full record

SynthesisJMIR mHealth and uHealth2026

Evaluating the Effectiveness of Digital Interventions for Stress Management in Pregnant Women: Systematic Review and Meta-Analysis.

Jeung-Im Kim, Joo Yun Lee, So-Hee Park

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Jeung-Im KimSchool of Nursing, College of Medicine, Soonchunhynag University, Asan-si, Republic of Korea.ORCID 0000-0001-5499-8281
Joo Yun LeeCollege of Nursing, Gachon University, Incheon, Republic of Korea.ORCID 0000-0002-3156-6619
So-Hee ParkSchool of Nursing, College of Medicine, Soonchunhyang University, Asan-si, Republic of Korea.ORCID 0009-0001-5893-4872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychological stress during pregnancy is common and has been associated with adverse maternal and neonatal outcomes. Digital health interventions (DHIs) have emerged as a scalable approach to support stress management during pregnancy, yet evidence remains fragmented, and prior reviews have largely focused on broad perinatal mental health outcomes or delivery platforms rather than stress-specific effects and targeted intervention components.

objectiveThis systematic review and meta-analysis aimed to evaluate the effectiveness of DHIs specifically designed to reduce stress during pregnancy and to examine how intervention strategies and delivery methods are associated with stress outcomes.

methodsWe conducted a systematic review and meta-analysis following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines. Randomized controlled trials and quasi-experimental studies involving pregnant women were eligible if they evaluated any digitally delivered intervention-such as mobile apps, web-based programs, or telemedicine-intended to reduce stress, and reported validated stress outcomes. We searched CINAHL, the Cochrane Library, Embase, and PubMed from database inception through November 2025. Risk of bias was assessed using the Cochrane risk of bias 2 tool for randomized trials and the risk of bias in nonrandomized studies of interventions tool for nonrandomized studies. Where appropriate, effect sizes were pooled using random-effects meta-analysis with the Hartung-Knapp-Sidik-Jonkman method and reported as standardized mean differences.

resultsA total of 19 studies were included. Overall, DHIs were associated with a significant reduction in stress compared with control conditions (standardized mean difference -0.45, 95% CI -0.59 to -0.32; 95% prediction interval -0.78 to -0.13), with low to moderate heterogeneity. Strategy-based subgroup analyses indicated that mindfulness- and education-focused interventions showed favorable effects, but formal tests for between-subgroup differences were not statistically significant. Evidence certainty was rated as moderate, primarily due to risk-of-bias concerns in some trials.

conclusionsThis review provides stress-focused evidence that DHIs can support stress reduction during pregnancy and extends existing literature by systematically disaggregating interventions according to delivery methods, functional features, and content strategies. This study offers a component-oriented synthesis that informs the design and selection of digital stress-management interventions for pregnant women. In real-world antenatal care, these tools may complement clinician-delivered services by expanding access to low-intensity, scalable support, particularly when interventions integrate skills-based content with supportive digital functions. Future research should directly compare single versus combined strategies and evaluate implementation across diverse populations and care settings.

Indexed as

Pregnant PeopleStress, PsychologicalFemaleHumansPregnancyTelemedicinedigital healthmeta-analysismHealthpregnancystress managementsystematic reviewtelemedicine

Identifiers

PMID41587461
PMCPMC12887566

What OpenQuestion holds

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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.