Trial reportAfrican health sciences2022
The effect of mobile-based training on maternal breastfeeding self-efficacy: a randomized clinical trial.
Trial report in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 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
7 citing papers in PubMed, 2 syntheses or guidelines 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
- 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 effect of virtual reality on the breastfeeding process: a randomized controlled study.Journal of perinatology : official journal of the California Perinatal Association · 2024Trial
- Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety.BMC pregnancy and childbirth · 2025Article
- Breastfeeding interventions and programs conducted in the Islamic Republic of Iran: a scoping review.Health education research · 2025Article
- Effectiveness of Telemedicine-Based Intervention on Breastfeeding Self-Efficacy in Iranian Women: A Systematic Review and Meta-Analysis.Iranian journal of public health · 2025Review
- Editorial I: So, who wins? It is still: NCDs 3; Infections 2.African health sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The Aim of this study is to determine the effect of mobile-based training on maternal breastfeeding self-efficacy. Materials and Methods: This trial was conducted from November May to December 2020 on 198 women referring to healthcare centers in Guilan, Iran. The samples of this study were selected using the convenience sampling method, and random block sampling was used for the allocation of groups. The data collection tool was a two-part questionnaire including questions about demographic data and Dennis's self-efficacy. The questionnaires were completed before and 8 weeks after the intervention in both groups. Results: The mean and standard deviation of self-efficacy before the education in the experiment and control group were 48.26+ 6.49 and 49.11 + 7.36, respectively. After the education, the experimental group was 53.78 + 12.61 and control group was 41.90 + 17.98. The difference between the pretest and posttest scores indicated that the breastfeeding educational intervention increased the women's self-efficacy in breastfeeding (p<0/001). Conclusion: The results showed that mobile-based training could improve maternal breastfeeding self-efficacy. It is therefore recommended, this training program as an available and convenient method to improve breastfeeding self-efficacy.
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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.