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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jan 23, 2018
Open Peer Review Period: Jan 25, 2018 - Mar 26, 2018
Date Accepted: Mar 26, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial

Davis 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 Res Protoc 2018;7(5):e146

DOI: 10.2196/resprot.9920

PMID: 29848468

PMCID: 6000478

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial

  • Deborah Davis; 
  • Rachel Davey; 
  • Lauren T. Williams; 
  • Maralyn Foureur; 
  • Ellen Nohr; 
  • Catherine Knight-Agarwal; 
  • Tanya Lawlis; 
  • Jeremy Oats; 
  • Helen Skouteris; 
  • Matthew Fuller-Tyszkiewicz

Background:

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.

ClinicalTrial:

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)

International Registered Report:

RR1-10.2196/9920


 Citation

Please cite as:

Davis 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 Res Protoc 2018;7(5):e146

DOI: 10.2196/resprot.9920

PMID: 29848468

PMCID: 6000478

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.