ArticlePloS one2015
Engagement with eHealth Self-Monitoring in a Primary Care-Based Weight Management Intervention.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effectiveness of Mobile Phone and Web-Based Interventions for Diabetes and Obesity Among African American and Hispanic Adults in the United States: Systematic Review.JMIR public health and surveillance · 2022Pooled it
- Effective behavior change techniques to promote physical activity in adults with overweight or obesity: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021Pooled it
- Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.Obesity (Silver Spring, Md.) · 2021Pooled it
- Reducing non-injection drug use in HIV primary care: A randomized trial of brief motivational interviewing, with and without HealthCall, a technology-based enhancement.Journal of substance abuse treatment · 2017Trial
- Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study.JMIR mHealth and uHealth · 2023Article
- Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.JMIR medical informatics · 2022Article
- Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Sustaining eHealth engagement in a multi-year weight gain prevention intervention.Obesity science & practice · 2019Article
- Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial.Journal of medical Internet research · 2018Article
- The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2018Article
- A Targeted and Tailored eHealth Weight Loss Program for Young Women: The Be Positive Be HealthHealthcare (Basel, Switzerland) · 2018Article
- Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study.JMIR mHealth and uHealth · 2018Article
- Ecological Interventionist Causal Models in Psychosis: Targeting Psychological Mechanisms in Daily Life.Schizophrenia bulletin · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundWhile eHealth approaches hold promise for improving the reach and cost-effectiveness of behavior change interventions, they have been challenged by declining participant engagement over time, particularly for self-monitoring behaviors. These are significant concerns in the context of chronic disease prevention and management where durable effects are important for driving meaningful changes. PURPOSE: "Be Fit, Be Well" was an eHealth weight loss intervention that allowed participants to self-select a self-monitoring modality (web or interactive voice response (IVR)). Participants could change their modality. As such, this study provides a unique opportunity to examine the effects of intervention modality choice and changing modalities on intervention engagement and outcomes.
methodsIntervention participants, who were recruited from community health centers, (n = 180) were expected to self-monitor health behaviors weekly over the course of the 24-month intervention. We examined trends in intervention engagement by modality (web, IVR, or changed modality) among participants in the intervention arm.
resultsThe majority (61%) of participants chose IVR self-monitoring, while 39% chose web. 56% of those who selected web monitoring changed to IVR during the study versus no change in those who initially selected IVR. Self-monitoring declined in both modalities, but completion rates were higher in those who selected IVR. There were no associations between self-monitoring modality and weight or blood pressure outcomes.
conclusionsThis is the first study to compare web and IVR self-monitoring in an eHealth intervention where participants could select and change their self-monitoring modality. IVR shows promise for achieving consistent engagement.
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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.