ArticleJMIR research protocols2020
The Design of a Randomized Clinical Trial to Evaluate a Pragmatic and Scalable eHealth Intervention for the Management of Gestational Weight Gain in Low-Income Women: Protocol for the SmartMoms in WIC Trial.
Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04028843 (SmartMoms in WIC), which is not on this map. Cited by 12 papers.
What it found
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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.
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.
SmartMoms in WIC: A Smartphone Intervention for WIC Mothers to Improve Nutrition and Weight Gain During Pregnancy
Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Predictors of Redemption among Low-Income, Pregnant Women, Infants, and Children Participants: A Secondary Analysis of a Multicomponent eHealth Behavioral Intervention Study.The Journal of nutrition · 2026Trial
- Effect of a Pragmatic eHealth Behavioral Gestational Weight Gain Intervention on Household Chaos in Pregnant People of Lower Socioeconomic Status: Randomized Controlled Trial.JMIR mental health · 2026Trial
- Examining the Impact of a Codeveloped Multicomponent Mobile eHealth Lifestyle Intervention on Physical Activity and Its Association With Gestational Weight Gain in Underserved Women: A Statewide Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- An eHealth Intervention in Pregnancy on Maternal Body Composition and Subsequent Perinatal Outcomes: A Randomized Trial.Obesity (Silver Spring, Md.) · 2025Trial
- Differential effects of a stakeholder-informed intensive perinatal eHealth behavioral weight gain intervention between non-Hispanic Black and non-Hispanic White individuals: a secondary analysis of a randomized clinical trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Trial
- Prenatal and Pediatric Primary Care-Based Child Obesity Prevention: Effects of Adverse Social Determinants of Health on Intervention Attendance and Impact.Childhood obesity (Print) · 2024Trial
- Awareness, Preferences, and Willingness to Download Pregnancy Health Management Apps Among Women in Louisiana: Cross-Sectional Survey.JMIR formative research · 2026Article
- Investigating eHealth Lifestyle Interventions for Vulnerable Pregnant Women: Scoping Review of Facilitators and Barriers.Journal of medical Internet research · 2024Article
- Precision Interventions Targeting the Maternal Metabolic Milieu for Healthy Pregnancies in Obesity.Current diabetes reports · 2024Review
- E-health Dietary Interventions for Participants of SNAP and WIC: A Systematic Review.Current developments in nutrition · 2024Review
- App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review.Journal of medical Internet research · 2023Article
- Mobile Phone App Use Among Pregnant Women in China and Associations Between App Use and Perinatal Outcomes: Retrospective Study.JMIR formative research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLess than one-third of women gain an appropriate amount of weight during pregnancy, which can influence the long-term health of both the mother and the child. Economically disadvantaged women are the most vulnerable to maternal obesity, excessive weight gain during pregnancy, and poor birth outcomes. Effective and scalable health care strategies to promote healthy weight gain during pregnancy specifically tailored for these women are lacking.
objectiveThis paper presents the design and protocol of a biphasic, community-based eHealth trial, SmartMoms in WIC, to increase the adherence to healthy gestational weight gain (GWG) recommendations in low-income mothers receiving women, infant, and children (WIC) benefits.
methodsPhase 1 of the trial included using feedback from WIC mothers and staff and participants from 2 community peer advisory groups to adapt an existing eHealth gestational weight management intervention to meet the needs of women receiving WIC benefits. The health curriculum, the format of delivery, and incentive strategies were adapted to be culturally relevant and at an appropriate level of health literacy. Phase 2 included a pragmatic randomized controlled trial across the 9 health care regions in Louisiana with the goal of enrolling 432 women. The SmartMoms in WIC intervention is an intensive 24-week behavioral intervention, which includes nutrition education and exercise strategies, and provides the technology to assist with weight management, delivered through a professionally produced website application.
resultsPhase 1 of this trial was completed in July 2019, and recruitment for phase 2 began immediately thereafter. All data are anticipated to be collected by Spring 2023.
conclusionsThe SmartMoms in WIC curriculum was methodically developed using feedback from community-based peer advisory groups to create a culturally relevant, mobile behavioral intervention for mothers receiving WIC benefits. The randomized clinical trial is underway to test the effectiveness of a sustainable eHealth program on the incidence rates of appropriate GWG. SmartMoms in WIC may be able to offer an innovative, cost-effective, and scalable solution for GWG management in women served by WIC.
trial registrationClinicalTrials.gov NCT04028843; https://clinicaltrials.gov/ct2/show/NCT04028843. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18211.
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Registered trials
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.