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Cited by 86Breastfeeding Practices and InfluencesMobile Health and mHealth ApplicationsInfant Nutrition and Health

The Effect of Interactive Web-Based Monitoring on Breastfeeding Exclusivity, Intensity, and Duration in Healthy, Term Infants After Hospital Discharge

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Ahmed, Azza H., Roumani, Ali M., Szucs, Kinga, Zhang, Lingsong, King, Demetra·2016·Journal of Obstetric, Gynecologic & Neonatal Nursing
DOI 10.1016/j.jogn.2015.12.001PMC PMC4789120
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Abstract

Objective To determine whether a Web-based interactive breastfeeding monitoring system increased breastfeeding duration, exclusivity, and intensity as primary outcomes and decreased symptoms of postpartum depression as a secondary outcome.Design Two-arm, randomized controlled trial.Setting Three hospitals in the Midwestern United States.Participants One hundred forty one (141) mother-newborn dyads were recruited before discharge.Methods Postpartum women were randomly assigned to the control or intervention groups. Women in the control group (n = 57) followed the standard hospital protocol, whereas women in the intervention group (n = 49) were given access to an online interactive breastfeeding monitoring system and were prompted to record breastfeeding and infant output data for 30 days. A follow-up online survey was sent to both groups at 1, 2, and 3 months to assess breastfeeding outcomes and postpartum depression.Results For mothers and infants, there were no significant differences in demographics between groups. No significant differences in breastfeeding outcomes were found between groups at discharge (p = .707). A significant difference in breastfeeding outcomes was found between groups at 1, 2, and 3 months (p = .027, p < .001, and p = .002, respectively). Members of the intervention group had greater exclusive breastfeeding rates at 1, 2, and 3 months. By the end of the third month, 84% of the intervention group was breastfeeding compared with 66% of the control group. Postpartum depression symptom scores decreased for both groups at 1, 2, and 3 months (control group: 4.9 ± 3.9, 4.3 ± 4.9, and 3.2 ± 3.9, respectively; intervention group: 4.7 ± 4.5, 3.0 ± 3.4, and 2.8 ± 3.6, respectively). However, there was no significant difference between groups at 1, 2, and 3 months (p = .389, .170, and .920, respectively) for depression.Conclusion The Web-based interactive breastfeeding monitoring system may be a promising intervention to improve breastfeeding duration, exclusivity, and intensity.

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  • The other studies (n = 38) did not report anything about implementation barriers.

    “the other studies (n = 38 [20, 35–37, 39–42, 44, 45, 47, 48, 50–57, 59, 61–77]) did not report anything about this aspect.”

    From Mental health-related telemedicine interventions for pregnant women and new mothers: a systematic literature review (2023) · cites this paper as [42]

    The Results section reports reasons participants did not use or complete the web-based intervention, including family demands, computer and Internet problems, and re-hospitalization. The Methods section also identifies data-entry burden as a possible obstacle. Thus, this study did report barriers relevant to implementation; its text cannot establish what the other 37 studies reported. Page numbers are not available in our copy. (LLM, conf=0.88)

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  • Participants were mostly positive in terms of their acceptance of or satisfaction with the intervention (n = 23).

    “The participants were mostly positive in terms of their acceptance of or satisfaction with the intervention (n = 23 [20, 38, 39, 41–43, 45, 46, 48, 51, 52, 54, 55, 58, 59, 61, 62, 64, 65, 68, 70–72])”

    From Mental health-related telemedicine interventions for pregnant women and new mothers: a systematic literature review (2023) · cites this paper as [42]

    The Methods section (page unavailable) reports that participants in an earlier feasibility and acceptability study found data entry neither overwhelming nor time-consuming. The Discussion (page unavailable) likewise reports earlier mothers finding the notifications helpful. This supports a positive response to the intervention, but the cited trial does not report an acceptance or satisfaction assessment of its own participants; the n = 23 appears to count cited studies, not participants in this paper. (LLM, conf=0.82)

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  • The feasibility of the intervention was deemed good by 16 articles.

    “The feasibility of the intervention was deemed good by n = 16 articles [37, 39, 41, 42, 46, 49, 52, 54, 55, 59, 61, 63, 65, 68, 70, 71].”

    From Mental health-related telemedicine interventions for pregnant women and new mothers: a systematic literature review (2023) · cites this paper as [42]

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Authors
Ahmed, A. H., Roumani, A. M., Szucs, K., Zhang, L., & King, D.
Affiliations
Gulf University for Science & Technology (KW)
Corresponding author
Ahmed, Azza H.
ORCID
Venue
Journal of Obstetric, Gynecologic & Neonatal Nursing
Publisher
Elsevier BV
Published
2016-03
Volume
45
Issue
2
Pages
143-154
ISSN
  • 0090-0311 (ISSN-L)
  • 0884-2175
DOI
10.1016/j.jogn.2015.12.001
PMC
PMC4789120
OpenAlex
W2256937868
Cited by
86
References
51
Citations by year
2026: 9 · 2025: 10 · 2024: 10 · 2023: 12 · 2022: 12 · 2021: 9 · 2020: 5 · 2019: 7 · 2018: 4 · 2017: 2 · 2016: 4 · 2013: 1 · 2012: 1
FWCI
5.32
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Obstetric, Gynecologic & Neonatal Nursing (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
CTSI (Grant #UL1TR001108)
Topics
  • Health Sciences › Medicine › Epidemiology › Breastfeeding Practices and Influences
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
Keywords
breastfeeding, exclusive breastfeeding, breastfeeding duration, web-based monitoring, postpartum depression, postpartum women, term infants, hospital discharge, mother-newborn dyads, breastfeeding outcomes
MeSH terms
Adult, Breast Feeding, Female, Health Promotion, Humans, Infant, Infant, Newborn, Male, Outcome and Process Assessment, Health Care, Patient Discharge, Postnatal Care, Pregnancy, Telemedicine, Depression, Postpartum, Term Birth, Patient Preference, Diagnostic Self Evaluation

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