ArticleJMIR mHealth and uHealth2017
Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 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
33 citing papers in PubMed, 5 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review.BMJ open · 2022Pooled it
- Process evaluations of early childhood obesity prevention interventions delivered via telephone or text messages: a systematic review.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Content and Quality of Infant Feeding Smartphone Apps: Five-Year Update on a Systematic Search and Evaluation.JMIR mHealth and uHealth · 2020Pooled it
- A systematic evaluation of digital nutrition promotion websites and apps for supporting parents to influence children's nutrition.The international journal of behavioral nutrition and physical activity · 2020Pooled it
- Information and Communication Systems to Tackle Barriers to Breastfeeding: Systematic Search and Review.Journal of medical Internet research · 2019Pooled it
- Insights Into How Digital Health Interventions Shape Outcomes for Emerging Adults Living With Type 1 Diabetes: Qualitative Realist Process Evaluation.Journal of medical Internet research · 2025Trial
- Factors influencing engagement and dietary behaviour change of mothers and their children in a blog-delivered healthy eating intervention: a process evaluation of a randomised controlled trial.Public health nutrition · 2021Trial
- Effect of a Parent-Focused eHealth Intervention on Children's Fruit, Vegetable, and Discretionary Food Intake (Food4toddlers): Randomized Controlled Trial.Journal of medical Internet research · 2021Trial
- Maternal Parenting Electronic Diary in the Context of a Home Visit Intervention for Adolescent Mothers in an Urban Deprived Area of São Paulo, Brazil: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Evaluating the Baby-Act Behavioral Intervention Components: Participants' Compliance, Knowledge, Confidence, and Goals Set and Achieved.Academic pediatricsTrial
- A Qualitative Evaluation of Eat, Learn, Grow: A Digital Microlearning Programme to Promote Responsive Feeding Practices.Maternal & child nutrition · 2026Article
- Theory-based evaluation of user participation in MedPrev, a digital preventive intervention in primary care in France.BMC primary care · 2026Article
- Classification and influencing factors of parent activation among parents of preterm infants at a NICU in China: a latent profile analysis.Frontiers in pediatrics · 2026Article
- Understanding Drivers of Sustained Engagement in SMS-Based Nutrition Programmes: A Realist Evaluation With an Equity Lens in Tanzania.Maternal & child nutrition · 2025Article
- Article
- A great way to bring up health behaviour topics at playgroup: a qualitative evaluation of the Healthy Conversations @ Playgroup program.BMC public health · 2024Article
- Barriers and facilitators to parents' engagement with and perceived impact of a childhood obesity app: A mixed-methods study.PLOS digital health · 2024Article
- Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app.Maternal & child nutrition · 2023Article
- Adherence to micronutrient powder for home fortification of foods among infants and toddlers in rural China: a structural equation modeling approach.BMC public health · 2022Article
- Trial collaborators' perceptions of the process of delivering Healthy Beginnings advice via telephone calls or text messages.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 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
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfant feeding practices, including breastfeeding and optimal formula feeding practices, can play a role in the prevention of childhood obesity. The ubiquity of smartphone ownership among women of childbearing age provides important opportunities for the delivery of low-cost, broad reach parenting interventions delivered by mobile phone (mHealth or mobile health interventions). Little is known about how parents engage with mHealth programs targeting infant feeding and how such programs might influence infant feeding practices.
objectiveThe objectives of this study were to explore participant views on (1) factors influencing engagement with the Growing healthy program, an mHealth program targeting healthy infant feeding practices from birth to 9 months of age, and (2) the ways in which the program influenced behavioral determinants of capability, opportunity, and motivation for breastfeeding and optimal formula feeding behaviors.
methodsSemistructured, telephone interviews were conducted with a purposeful sample (n=24) of mothers participating in the Growing healthy program. Interviews explored participants' views about engagement with the program and its features, and the ways the program influenced determinants of infant feeding behaviors related to breastfeeding and optimal formula feeding. The interview schedule was informed by the Capability, Opportunity, Motivation, and Behavior (COM-B) model.
resultsParticipants reported that engagement fluctuated depending on need and the degree to which the program was perceived to fit with existing parenting beliefs and values. Participants identified that the credibility of the program source, the user friendly interface, and tailoring of content and push notifications to baby's age and key transition points promoted engagement, whereas technical glitches were reported to reduce engagement. Participants discussed that the program increased confidence in feeding decisions. For breastfeeding mothers, this was achieved by helping them to overcome doubts about breast milk supply, whereas mothers using formula reported feeling more confident to feed to hunger and satiety cues rather than encouraging infants to finish the bottle. Participants discussed that the program provided around-the-clock, readily accessible, nonjudgmental information and support on infant feeding and helped to reinforce information received by health professionals or encouraged them to seek additional help if needed. Participants reflected that their plans for feeding were typically made before joining the program, limiting the potential for the program to influence this aspect of motivation. Rather, the program provided emotional reassurance to continue with current feeding plans.
conclusionsOur findings suggest that engagement with the program was influenced by an interplay between the program features and needs of the user. Participants reported that the program enhanced confidence in feeding decisions by providing a 24/7 accessible, expert, nonjudgmental support for infant feeding that complemented health professional advice. It is likely that interventions need to commence during pregnancy to maximize the impact on breastfeeding intentions and plans.
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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.