ArticleJMIR research protocols2016
See Me Smoke-Free: Protocol for a Research Study to Develop and Test the Feasibility of an mHealth App for Women to Address Smoking, Diet, and Physical Activity.
Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02972515 (Mobile Application for Guided Imagery to Address Smoking, Diet and Physical Activity), which is not on this map. Cited by 14 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.
Mobile Application for Guided Imagery to Address Smoking, Diet and Physical Activity
Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Efficacy of a Gender-Relevant Smoking Cessation Intervention Among Women in Brazil: Findings from a Group Randomized Controlled Trial.Journal of women's health (2002) · 2022Trial
- A telephone-based guided imagery tobacco cessation intervention: results of a randomized feasibility trial.Translational behavioral medicine · 2021Trial
- Trial
- Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research.Addiction neuroscience · 2023Article
- Testing the feasibility of a guided imagery tobacco cessation intervention delivered by a telephone quitline: Study protocol for a randomized controlled feasibility trial.Contemporary clinical trials communications · 2019Article
- Development of a gender-relevant tobacco cessation intervention for women in Brazil-an intervention mapping approach to planning.Health education research · 2019Article
- Mobile Applications for the Treatment of Tobacco Use and Dependence.Current addiction reports · 2019Article
- Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research.JMIR mHealth and uHealth · 2018Article
- The feasibility of a theory-based self-regulation intervention in schools to increase older adolescents' leisure time physical activity behavior.AIMS public health · 2018Article
- A Scoping Review of Health Outcomes Examined in Randomized Controlled Trials Using Guided Imagery.Progress in preventive medicine (New York, N.Y.) · 2017Article
- Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies.JMIR research protocols · 2017Article
- User Participation and Engagement With the See Me Smoke-Free mHealth App: Prospective Feasibility Trial.JMIR mHealth and uHealth · 2017Article
- Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers.Translational behavioral medicine · 2017Article
- Predicting the impact of urban flooding using open data.Royal Society open science · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundThis paper presents the protocol for an ongoing research study to develop and test the feasibility of a multi-behavioral mHealth app. Approximately 27 million women smoke in the US, and more than 180,000 women die of illnesses linked to smoking annually. Women report greater difficulties quitting smoking. Concerns about weight gain, negative body image, and low self-efficacy may be key factors affecting smoking cessation among women. Recent studies suggest that a multi-behavioral approach, including diet and physical activity, may be more effective at helping women quit. Guided imagery has been successfully used to address body image concerns and self-efficacy in our 3 target behaviors-exercise, diet and smoking cessation. However, it has not been used simultaneously for smoking, diet, and exercise behavior in a single intervention. While imagery is an effective therapeutic tool for behavior change, the mode of delivery has generally been in person, which limits reach. mHealth apps delivered via smart phones offer a unique channel through which to distribute imagery-based interventions.
objectiveThe objective of our study is to evaluate the feasibility of an mHealth app for women designed to simultaneously address smoking, diet, and physical activity behaviors. The objectives are supported by three specific aims: (1) develop guided imagery content, user interface, and resources to reduce weight concern, and increase body image and self-efficacy for behavior change among women smokers, (2) program a prototype of the app that contains all the necessary elements of text, graphics, multimedia and interactive features, and (3) evaluate the feasibility, acceptability, and preliminary efficacy of the app with women smokers.
methodsWe created the program content and designed the prototype application for use on the Android platform in collaboration with 9 participants in multiple focus groups and in-depth interviews. We programmed and tested the application's usability with 6 participants in preparation for an open, pre- and posttest trial. Currently, we are testing the feasibility and acceptability of the application, evaluating the relationship of program use to tobacco cessation, dietary behaviors, and physical activity, and assessing consumer satisfaction with approximately 70 women smokers with Android-based smart phones.
resultsThe study was started January 1, 2014. The app was launched and feasibility testing began in April 1, 2015. Participants were enrolled from April 1-June 30, 2015. During that time, the app was downloaded over 350 times using no paid advertising. Participants were required to use the app "most days" for 30 days or they would be dropped from the study. We enrolled 151 participants. Of those, 78 were dropped or withdrew from the study, leaving 73 participants. We have completed the 30-day assessment, with a 92% response rate. The 90-day assessment is ongoing. During the final phase of the study, we will be conducting data analyses and disseminating study findings via presentations and publications. Feasibility will be demonstrated by successful participant retention and a high level of app use. We will examine individual metrics (eg, duration of use, number of screens viewed, change in usage patterns over time) and engagement with interactive activities (eg, activity tracking).
conclusionsWe will aggregate these data into composite exposure scores that combine number of visits and overall duration to calculate correlations between outcome and measures of program exposure and engagement. Finally, we will compare app use between participants and non-participants using Google Analytics.
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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.