Evidence map›Paper›PMID 29848468›Full record

ArticleJMIR research protocols2018

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

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

10 authors at 7 institutions in 2 countries.

Deborah Davis *University of Canberra, Canberra, Australia.ORCID http://orcid.org/0000-0002-2041-1064
Rachel DaveyCentre for Research & Action in Public Health, Health Research Institute, University of Canberra, Canberra, Australia.ORCID http://orcid.org/0000-0002-6117-2872
Lauren T WilliamsMenzies Health Institute of Queensland, Griffith University, Southport, Australia.ORCID http://orcid.org/0000-0002-7860-0319
Maralyn FoureurCentre for Midwifery, Child and Family Health, University of Technology Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-0454-0165
Ellen Nohr *Institute of Clinical Research, University of Southern Denmark, Odense, Australia.ORCID http://orcid.org/0000-0001-7039-1105
Catherine Knight-Agarwal *Faculty of Health, University of Canberra, Sydney, Australia.ORCID http://orcid.org/0000-0003-0121-4900
Tanya Lawlis *Faculty of Health, University of Canberra, Sydney, Australia.ORCID http://orcid.org/0000-0003-3744-3182
Jeremy OatsMelbourne School Population & Global Health, The University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0003-3808-9808
Helen Skouteris *Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Australia.ORCID http://orcid.org/0000-0001-9959-5750
Matthew Fuller-Tyszkiewicz *Deakin University, Waurn Ponds, Australia.ORCID http://orcid.org/0000-0003-1145-6057
University of Canberra · AUDeakin University · AUGriffith University · AUMonash University · AUThe University of Melbourne · AUUniversity of Southern Denmark · DKUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 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.

objectiveThe 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.

methodsThis 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.

resultsRecruitment 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.

conclusionFeasibility 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 registrationAustralian 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.

Indexed as

pregnancyprenatal caresmartphonetechnologyweight gain

Identifiers

PMID29848468
PMCPMC6000478
OpenAlexW2805148178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.