Trial reportTelemedicine journal and e-health : the official journal of the American Telemedicine Association2015
Predictors of Utilization of a Novel Smoking Cessation Smartphone App.
Trial report in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
44 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Use of Mobile Technologies for Smoking Cessation Among Smokers and Former Smokers: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Smartphone Apps for the Treatment of Mental Disorders: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Adherence of popular smoking cessation mobile applications to evidence-based guidelines.BMC public health · 2019Pooled it
- Predicting the Users' Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis.European addiction research · 2023Trial
- NoFumo+: A Clinical Trial of an mHealth for Smoking Cessation with Hospitalized Patients.International journal of environmental research and public health · 2021Trial
- Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Trial
- Virtual Reality Smartphone-Based Intervention for Smoking Cessation: Pilot Randomized Controlled Trial on Initial Clinical Efficacy and Adherence.Journal of medical Internet research · 2020Trial
- Feasibility of a Smartphone-Based Tobacco Treatment for HIV-Infected Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Trial
- Formative, multimethod case studies of learn to quit, an acceptance and commitment therapy smoking cessation app designed for people with serious mental illness.Translational behavioral medicine · 2019Trial
- Smokers with bipolar disorder, other affective disorders, and no mental health conditions: Comparison of baseline characteristics and success at quitting in a large 12-month behavioral intervention randomized trial.Drug and alcohol dependence · 2018Trial
- Parental Smoking Cessation: Impacting Children's Tobacco Smoke Exposure in the Home.Pediatrics · 2018Trial
- Disparities in Receipt of Tobacco Cessation Advice Among U.S. Adult Healthcare Patients Who Use Tobacco.AJPM focus · 2026Article
- Preferences of Iranian smokers regarding smart smoking cessation technologies: a parallel convergent mixed methods study.BMC public health · 2024Article
- Article
- Characterising use of recovery record among a large, transdiagnostic sample of adults with eating disorders across higher levels of care.European eating disorders review : the journal of the Eating Disorders Association · 2024Article
- Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis.Journal of medical Internet research · 2023Review
- Evaluation of an innovative mHealth-based integrated modality for smoking cessation in Chinese smokers: protocol for a randomized controlled trial.BMC public health · 2023Article
- Baseline characteristics and the factors influencing successful smoking cessation: A comparison between a WeChat smoking cessation mini-program and an offline smoking cessation clinic.Tobacco induced diseases · 2023Article
- Acceptability and Usability of Mobile Apps for Smoking Cessation Among Young Adults With Psychotic Disorders and Other Serious Mental Illness.Frontiers in psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundUnderstanding the characteristics of high and low utilizers of smartphone applications (apps) for smoking cessation would inform development of more engaging and effective apps, yet no studies to date have addressed this critical question. Informed by prior research on predictors of cessation Web site utilization, this study examines the degree to which baseline demographic factors (gender, age, and education), smoking-related factors (smoking level and friends' smoking), and psychological factors (depression and anxiety) are predictive of utilization of a smartphone app for smoking cessation called SmartQuit. MATERIALS AND
methodsData came from 98 participants randomized to SmartQuit as part of a pilot trial from March to May 2013. We used negative binomial count regressions to examine the relationship between user characteristics and utilization of the app over an 8-week treatment period.
resultsLower education (risk ratio [RR]=0.492; p=0.021), heavier smoking (RR=0.613; p=0.033), and depression (RR=0.958; p=0.017) prospectively predicted lower app utilization. Women (RR=0.320; p=0.022), those with lower education (RR=0.491; p=0.013), and heavier smokers (RR=0.418; p=0.039) had lower utilization of app features known to predict smoking cessation.
conclusionsMany of the predictors of utilization of smoking cessation apps are the same as those of cessation Web sites. App-delivered smoking cessation treatment effectiveness could be enhanced by focusing on increasing engagement of women, those with lower education, heavy smokers, and those with current depressive symptoms.
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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.