SynthesisBMC public health2026
Effectiveness of mobile health applications with behaviour change techniques in improving maternal health outcomes: a systematic review.
Synthesis in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Effect of Nursing Intervention Supported by Mobile Health Applications on Asthma Control, Maternal and Neonatal Outcomes Among Pregnant Women with Asthma.Healthcare (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundMobile health (mHealth) has emerged as a scalable strategy for delivering timely health information and behavioural support to pregnant women. However, its effectiveness as an educational tool to improve maternal health remains unclear. This systematic review compares the impact of mHealth interventions with conventional nutrition education, with a focus on the integration of behaviour change techniques (BCTs) and their influence on maternal outcomes. Unlike earlier reviews, this study applies theory-based framework to identify effective BCTs and compare mHealth with traditional education, addressing existing gaps and guiding targeted intervention design.
method
designA systematic review following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).
settingThe search systematically spanned five databases (The Cochrane Library, PubMed, Scopus, CINAHL, and ACM Digital Library) of the literature published between 1 January 2015 and 30 November 2024. A systematic quality assessment of the included studies was conducted to evaluate methodological rigor, risk of bias, and the overall reliability of the evidence.
participantsThe review included 12 studies involving 1809 pregnant women participating in interventions that employed mobile health applications integrated with BCTs to enhance maternal health outcomes.
resultsA total of 1785 publications were initially screened and twelve studies were ultimately included in the systematic review. The mHealth interventions used included mobile apps, web-based platforms, smart bands and short message service, with interventions targeted dietary intake (4 studies), gestational weight gain (3 studies), physical activity (2 studies), psychosocial well-being (2 studies), and maternal perinatal complications (1 study). While mHealth interventions show positive effects on maternal outcomes including gestational weight gain, dietary intake and physical activity, two-thirds of the studies exhibited risk of bias, possibly due to challenges in blinding participants and researchers.
conclusionsThis review highlights the promise of mHealth interventions in improving dietary adherence, physical activity, gestational weight gain, psychosocial well-being and pregnancy outcomes such as birth weight and gestational complications. Despite these promising findings, further research is required to confirm efficacy, cost-effectiveness and implementation scalability of mHealth applications in maternal health care.
trial registrationAs no primary data were collected, clinical trial registration is not applicable.
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Registered trials
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.