SynthesisJMIR mHealth and uHealth2021
The Value of Mobile Health in Improving Breastfeeding Outcomes Among Perinatal or Postpartum Women: Systematic Review and Meta-analysis of Randomized Controlled Trials.
Synthesis in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 10 of them syntheses that pooled 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.
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
40 citing papers in PubMed, 10 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Effects of Digital Health Interventions on Breastfeeding Rates, Self-Efficacy, and Knowledge: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Evaluating the Effectiveness of mHealth Application Interventions to Promote Breastfeeding Amongst Pregnant Women and Postpartum Mothers: A Global Systematic Review and Meta-Analysis.Maternal & child nutrition · 2026Pooled it
- The Impact of Peer Support Through Mobile Health Applications on Breastfeeding Outcomes: A Systematic Review and Meta-Analysis.Maternal & child nutrition · 2026Pooled it
- Digital Interventions Targeting Parents to Improve Early Childhood Movement, Nutrition, and Sleep Behaviors: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Impacts of mobile health interventions on infant and young child feeding in LMICs: systematic review and meta-analysis.BMC pediatrics · 2026Pooled it
- Mobile applications for promoting and supporting breastfeeding: Systematic review and meta-analysis.Maternal & child nutrition · 2025Pooled it
- Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review.BMC medicine · 2024Pooled it
- The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis.PloS one · 2024Pooled it
- Assessing the effect of mHealth on child feeding practice in African countries: systematic and meta-analysis.Journal of health, population, and nutrition · 2023Pooled it
- The effects of mHealth interventions on improving institutional delivery and uptake of postnatal care services in low-and lower-middle-income countries: a systematic review and meta-analysis.BMC health services research · 2023Pooled it
- Trial
- Efficacy of an Online Nursing Consultation to Encourage Breastfeeding.Maternal and child health journal · 2025Trial
- Effectiveness of a Mobile Breastfeeding Monitoring Tool Among Mothers in WeChat Groups on Breastfeeding Exclusivity and Self-Efficacy: Intention-to-Treat and Per-Protocol Analyses of a Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Biomarker-based text messages to promote lactation success in mothers of critically Ill infants: a randomized controlled pilot study.Journal of perinatology : official journal of the California Perinatal Association · 2024Trial
- Effectiveness of a multimodal intervention for mothers of newborns hospitalized in the intensive care unit to increase exclusive breastfeeding.International breastfeeding journal · 2026Article
- Associations between maternal perceptions of infant growth and feeding and infant growth outcomes in community health clinics: a prospective multicentre longitudinal study.Journal of health, population, and nutrition · 2026Article
- Mobile Apps and Websites With Breastfeeding-Related Content in Germany: Cross-Sectional and Evaluation Study.JMIR pediatrics and parenting · 2026Article
- Does ovarian stimulation accelerate the progression of BI-RADS categories? a propensity score matching-based retrospective cohort study.Frontiers in endocrinology · 2026Article
- Effect of mHealth on Postpartum Family Planning and Its Associated Factors Among Women in South Ethiopia: A Cluster-Randomized Controlled Trial.Journal of clinical medicine · 2025Article
- Impact of breastfeeding education with WhatsApp follow-up on infant feeding, growth, and health outcomes: a quasi-experimental study in Malaysia.Archives of public health = Archives belges de sante publique · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreastfeeding is essential for maintaining the health of mothers and babies. Breastfeeding can reduce the infection rate and mortality in newborns, and can reduce the chances of overweight and obesity in children and adolescents. For mothers, a longer duration of breastfeeding can reduce the risk of breast cancer, ovarian cancer, and type 2 diabetes. Although breastfeeding has many benefits, the global breastfeeding rate is low. With the progress of time, the popularity of mobile devices has increased rapidly, and interventions based on mobile health (mHealth) may have the potential to facilitate the improvement of the breastfeeding status.
objectiveThe main objective of this study was to analyze the existing evidence to determine whether mHealth-based interventions can improve the status of breastfeeding.
methodsWe systematically searched multiple electronic databases (PubMed, Web of Science, The Cochrane Library, Embase, CNKI, WanFang, and Vip ) to identify eligible studies published from 1966 to October 29, 2020. Included studies were randomized controlled trials (RCTs) studying the influence of mHealth on breastfeeding. The Cochrane Collaboration Risk of Bias tool was used to examine the risk of publication bias. RevMan 5.3 was used to analyze the data.
resultsA total of 15 RCTs with a total sample size of 4366 participates met the inclusion criteria. Compared with usual care, interventions based on mHealth significantly increased the postpartum exclusive breastfeeding rate (odds ratio [OR] 3.18, 95% CI 2.20-4.59; P<.001), enhanced breastfeeding self-efficacy (mean difference [MD] 8.15, 95% CI 3.79-12.51; P=.002; I
conclusionsInterventions based on mHealth can significantly improve the rate of postpartum exclusive breastfeeding, breastfeeding efficacy, and participants' attitudes toward breastfeeding, and reduce health problems in infants. Therefore, encouraging women to join the mHealth team is feasible, and breastfeeding-related information can be provided through simple measures, such as text messages, phone calls, and the internet, to improve the health of postpartum women and their babies.
Indexed as
Identifiers
What OpenQuestion holds
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.