ReviewDigital health
The effectiveness of digital health versus standard care on exclusive breastfeeding duration among postpartum mothers in LMIC: Systematic review and meta-analysis.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Digital Health Interventions on Breastfeeding Rates, Self-Efficacy, and Knowledge: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- The effect of gamified breastfeeding education on breastfeeding self-efficacy and ınfant feeding attitudes of pregnant women: a randomized controlled study.Revista da Associacao Medica Brasileira (1992) · 2026Trial
- Efficacy of a Mobile Health App in Promoting Breastfeeding and Young Child Feeding Practices in Pakistan: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2026Article
- Scaling Smart: The Potential of Digital Strategies to Promote Breastfeeding in Low- and Middle-Income Countries.Maternal & child nutrition · 2026Article
- 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aims to evaluate the effectiveness of digital health interventions compared to standard care in promoting exclusive breastfeeding (EBF) among postpartum women in low-and middle-income countries (LMICs). Methods: The PRISMA guidelines of reporting were followed for the searching of four databases and screening following eligibility criteria: articles presenting digital health interventions, conducted as randomized control trials (RCTs), quasi-experimental, or mixed-method studies, reporting on EBF duration and early initiation of breastfeeding, and published in the English language were included. Results: Of 1595 articles screened, only 10 published between 2013 and 2023 met the criteria. Most studies were from Nigeria (n = 3), with others from Kenya, South Africa, Ethiopia, China, India, and Lebanon. Six were RCTs, and four were quasi-experimental. The meta-analysis shows digital health interventions significantly increase EBF duration, with the strongest effects at 6 months (odds ratio (OR) = 2,1.66-2.40), followed by 5, 3, 2, and 1 month postpartum, including the initial feed. Conclusion: This suggests digital health interventions have the potential to enhance breastfeeding practices among postpartum mothers in LMICs. For future research, it is essential to consider accessibility, delivery intervention, healthcare professional collaboration, and the sustainable development of digital health interventions for postpartum mothers in LMICs.
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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.