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dc.contributor.authorDavis, Deborah
dc.contributor.authorDavey, Rachel
dc.contributor.authorWilliams, Lauren T
dc.contributor.authorFoureur, Maralyn
dc.contributor.authorNohr, Ellen
dc.contributor.authorKnight-Agarwal, Catherine
dc.contributor.authorLawlis, Tanya
dc.contributor.authorOats, Jeremy
dc.contributor.authorSkouteris, Helen
dc.contributor.authorFuller-Tyszkiewicz, Matthew
dc.date.accessioned2019-10-11T01:27:52Z
dc.date.available2019-10-11T01:27:52Z
dc.date.issued2018
dc.identifier.issn1929-0748
dc.identifier.doi10.2196/resprot.9920
dc.identifier.urihttp://hdl.handle.net/10072/388295
dc.description.abstractBACKGROUND: Approximately 50% of women gain excessive weight in pregnancy. Optimizing gestational weight gain is important for the short- and long-term health of the childbearing woman and her baby. Despite this, there is no recommendation for routine weighing in pregnancy, and weight is a topic that many maternity care providers avoid. Resource-intensive interventions have mainly targeted overweight and obese women with variable results. Few studies have examined the way that socioeconomic status might influence the effectiveness or acceptability of an intervention to participants. Given the scale of the problem of maternal weight gain, maternity services will be unlikely to sustain resource intensive interventions; therefore, innovative strategies are required to assist women to manage weight gain in pregnancy. OBJECTIVE: The primary aim of the trial was to examine the effectiveness of the Eating4Two smartphone app in assisting women of all body mass index categories to optimize gestational weight gain. Secondary aims include comparing childbirth outcomes and satisfaction with antenatal care and examining the way that relative advantage and disadvantage might influence engagement with and acceptability of the intervention. METHODS: This randomized controlled trial will randomize 1330 women to control or intervention groups in 3 regions of different socioeconomic status. Women will be recruited from clinical and social media sites. The intervention group will be provided with access to the Eating4Two mobile phone app which provides nutrition and dietary information specifically tailored for pregnancy, advice on food serving sizes, and a graph that illustrates women's weight change in relation to the range recommended by the Institute of Medicine. Women will be encouraged to use the app to prompt conversations with their maternity care providers about weight gain in pregnancy. The control group will receive routine antenatal care. RESULTS: Recruitment has commenced though the recruitment rate is slower than expected. Additional funds are required to employ research assistants and promote the study in an advertising campaign. CONCLUSION: Feasibility testing highlighted the inadequacy of the original recruitment strategy and the need to provide the app in both major platforms (Android and iOS). Smartphone technologies may offer an effective alternative to resource intensive strategies for assisting women to optimize weight gain in pregnancy. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12617000169347; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371470 (Archived by WebCite at http://www.webcitation.org /6zDvgw5bo). REGISTERED REPORT IDENTIFIER: RR1-10.2196/9920.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJMIR PUBLICATIONS, INC
dc.relation.ispartofpagefrome146:1
dc.relation.ispartofpagetoe146:13
dc.relation.ispartofissue5
dc.relation.ispartofjournalJMIR Research Protocols
dc.relation.ispartofvolume7
dc.subject.fieldofresearchClinical sciences
dc.subject.fieldofresearchcode3202
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsHealth Care Sciences & Services
dc.subject.keywordssmartphone
dc.subject.keywordstechnology
dc.titleOptimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationDavis, D; Davey, R; Williams, LT; Foureur, M; Nohr, E; Knight-Agarwal, C; Lawlis, T; Oats, J; Skouteris, H; Fuller-Tyszkiewicz, M, Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial, JMIR Research Protocols, 2018, 7 (5), pp. e146:1-e146:13
dcterms.dateAccepted2018-03-26
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2019-10-11T01:20:11Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© Deborah Davis, Rachel Davey, Lauren T. Williams, Maralyn Foureur, Ellen Nohr, Catherine Knight-Agarwal, Tanya Lawlis, Jeremy Oats, Helen Skouteris, Matthew Fuller-Tyszkiewicz. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 30.05.2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited.
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gro.griffith.authorWilliams, Lauren T.


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