Evidence mapPaperPMID 42391105Full record

SynthesisJournal of medical Internet research2026

The Effectiveness of Parent-Targeted Digital Health Interventions on Breastfeeding Practices: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Jacklyn Jackson, Sienna Kavalec, Alison L Brown, Tessa Delaney, Nayerra Hudson, Anna Rayward, Ben Singh, Lisa Sahlin Torp, Rebecca Liackman, Kayla Pennicott and 5 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 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

15 authors.

Jacklyn JacksonSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0001-7633-0418
Sienna KavalecSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0009-0003-7605-4646
Alison L BrownSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0002-4233-7467
Tessa DelaneyNSW Ministry of Health, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-2756-4821
Nayerra HudsonSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0002-0069-1564
Anna RaywardSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0003-3029-9288
Ben SinghAlliance for Research in Exercise Nutrition and Activity, University of South Australia, Adelaide, South Australia, Australia.ORCID http://orcid.org/0000-0002-7227-2406
Lisa Sahlin TorpHunter New England Local Health District, Newcastle, New South Wales, Australia.ORCID http://orcid.org/0009-0003-8668-8319
Rebecca LiackmanSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0009-0008-0958-4598
Kayla PennicottHunter New England Local Health District, Newcastle, New South Wales, Australia.ORCID http://orcid.org/0009-0009-5583-4583
Kristen SaundersHunter New England Local Health District, Newcastle, New South Wales, Australia.ORCID http://orcid.org/0000-0003-2773-7814
Sonya StanleyHunter New England Local Health District, Newcastle, New South Wales, Australia.ORCID http://orcid.org/0009-0001-4691-4735
Luke WolfendenSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0002-6178-3868
Melanie KingslandSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0002-4744-8465
Rachel SutherlandSchool of Medicine and Public Health, University of Newcastle Australia, University Drive, Newcastle, New South Wales, 2308, Australia, 61 2 4921 6664.ORCID http://orcid.org/0000-0003-0470-7663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Global breastfeeding rates remain below recommended levels. Parent-targeted digital health interventions (DHIs), including mobile health (mHealth) and eHealth strategies, offer a scalable way to support breastfeeding, but their effectiveness remains uncertain. Objective: The aim of this study is to explore the effectiveness of parent-targeted DHIs for improving breastfeeding outcomes. Methods: In total, 7 databases were searched on December 9, 2025, for randomized controlled trials (RCTs) involving parents of children younger than 5 years of age. Eligible interventions aimed to promote breastfeeding and were primarily delivered via digital mediums. Primary outcomes of interest included exclusive breastfeeding (EBF), any breastfeeding, and breastfeeding duration. Secondary outcomes included breastfeeding self-efficacy, cost-effectiveness, and adverse events. Random effects meta-analyses were conducted in accordance with Cochrane methods, and results were reported following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool, and certainty of evidence was graded using the Grading of Recommendations Assessment, Development, and Evaluation approach. Results: In total, 46 (39 RCTs and 7 cluster RCTs) studies, including 33,785 participants from 18 diverse countries, were included. A total of 25 of the interventions focused on mHealth strategies, 8 were delivered via computer-based eHealth, 4 by telehealth, and 9 were delivered by eHealth or mHealth combined with telehealth. Risk of bias was indicated with "some concerns" or "high risk" for 41 (89%) studies. Pooled results indicated that DHIs can significantly improve the odds of EBF (odds ratio 2.58, 95% CI 1.91-3.50; I2=83%; 39 trials, 11,601 participants); however, considerable heterogeneity was present, and certainty of evidence was very low. Pooled results indicated with moderate certainty that DHIs may improve breastfeeding duration (standardized mean difference 0.48, 95% CI 0.29-0.67; I2=0%; 7 trials, 716 participants). Results suggest that DHIs have no effect on the odds of any breastfeeding (odds ratio 1.09, 95% CI 0.90-1.31; I2=19%; 21 trials, 8991 participants), but the certainty of evidence is very low. Cost or cost-effectiveness and adverse events were scarcely reported. Conclusions: This review provides a comprehensive synthesis of global evidence exploring the impacts of parent-targeted DHIs on breastfeeding outcomes, spanning diverse cultural and health system contexts. Our results suggest that parent-targeted DHIs represent a promising strategy for improving key breastfeeding indicators, such as EBF and breastfeeding duration with very low to moderate certainty, as current evidence is limited by variable risk of bias, potential publication bias, and substantial heterogeneity. DHIs could have a complementary role as part of the health care and support provided to parents during the first 2000 days. Future trials should seek to minimize possible biases as well as capture key scale-up outcomes to justify embedding such innovations within existing health systems and structures.

Indexed as

Breast FeedingDigital HealthParentsFemaleHumansInfantRandomized Controlled Trials as TopicTelemedicinebreastfeedingdigital healtheHealthmeta-analysismHealthmobile healthself-efficacysystematic review

Identifiers

PMID42391105
PMCPMC13326728

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.