Evidence map›Paper›PMID 36725007›Full record

ArticleMaternal & child nutrition2023

Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app.

Rachel A Laws, Heilok Cheng, Chris Rossiter, Konsita Kuswara, Brittany R Markides, Donna Size, Patricia Corcoran, Kok-Leong Ong, Elizabeth Denney-Wilson

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
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  4. Observational
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  8. An exploration of prenatal breastfeeding self-efficacy: a scoping review.The international journal of behavioral nutrition and physical activity · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rachel A LawsInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, Australia.ORCID 0000-0003-4328-1116
Heilok ChengSusan Wakil School of Nursing and Midwifery, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-7299-0416
Chris RossiterSusan Wakil School of Nursing and Midwifery, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-3833-3076
Konsita KuswaraInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, Australia.
Brittany R MarkidesInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Geelong, Australia.ORCID 0000-0001-6242-0842
Donna SizeSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Patricia CorcoranSydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.
Kok-Leong OngDepartment of Information Systems and Business Analytics, AISSC, RMIT University, Melbourne, Australia.
Elizabeth Denney-WilsonSusan Wakil School of Nursing and Midwifery, The University of Sydney, Camperdown, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the well-known benefits of breastfeeding, breastfeeding rates remain suboptimal, particularly for women with lower socioeconomic position. Although popular, breastfeeding apps are often poor quality; their impact on breastfeeding knowledge, attitudes, confidence and intentions is unknown. A mixed method pre-post feasibility study was conducted to: 1) explore the feasibility of the My Baby Now app in providing perinatal breastfeeding support; 2) examine the impact on breastfeeding knowledge, attitudes, confidence and intentions; 3) to examine any differences in acceptability and impact of the app according to maternal education. The My Baby Now app was offered to pregnant women 20-30 weeks gestation. Breastfeeding knowledge and intentions were collected at baseline (T1) and 36-38 weeks gestation (T2); attitudes and confidence were collected at baseline, T2 and T3 (8-12 weeks post-partum). App engagement was measured via app analytics. Qualitative interviews were conducted with a purposeful sample following T3. Of 266 participants recruited, 169 (64%) completed T2 and 157 (59%) completed T3. Mothers without university education rated the app to be higher quality, more useful and impactful than mothers with university education. From T1-T2, breastfeeding knowledge (59.6% vs. 66.5%, p < 0.001) and exclusive breastfeeding intentions (76.6% vs. 80.9%, p < 0.001) increased. Breastfeeding attitudes and confidence scores also increased significantly across T1-T2 and T1-T3. App engagement during pregnancy predicted changes in breastfeeding attitudes from T1-T2 among participants without university education. App engagement did not predict changes in breastfeeding knowledge, confidence or intentions. Future randomised controlled studies should examine the effectiveness of mHealth interventions on breastfeeding outcomes.

Indexed as

Mobile ApplicationsTelemedicineBreast FeedingFeasibility StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansInfantMothersPregnancybreastfeedinginfantsmHealthpregnancy

Identifiers

PMID36725007
PMCPMC10019053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.