ArticleJMIR mHealth and uHealth2014
Who Uses Smoking Cessation Apps? A Feasibility Study Across Three Countries via Smartphones.
Article in JMIR mHealth and uHealth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 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
51 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis.Journal of medical Internet research · 2020Pooled it
- A systematic review of smartphone applications for smoking cessation.Translational behavioral medicine · 2017Pooled it
- The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review.Biomedical engineering online · 2016Pooled it
- Craving to Quit: A Randomized Controlled Trial of Smartphone App-Based Mindfulness Training for Smoking Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Trial
- Trial
- Predictors of Utilization of a Novel Smoking Cessation Smartphone App.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2015Trial
- Trial
- Mobile Phone-Based Personalized and Interactive Augmented Reality Pictorial Health Warnings for Enhancing a Brief Advice Model for Smoking Cessation: Pilot Randomized Controlled Trial.JMIR XR and spatial computing · 2024Article
- The Impact of Digital Health on Smoking Cessation.Interactive journal of medical research · 2023Article
- Feasibility of tobacco cessation intervention at non-communicable diseases clinics: A qualitative study from a North Indian State.PloS one · 2023Article
- Process and Information Needs When Searching for and Selecting Apps for Smoking Cessation: Qualitative Study Using Contextual Inquiry.JMIR human factors · 2022Article
- Mobile health in preventive cardiology: current status and future perspective.Current opinion in cardiology · 2021Review
- Methods Used in Smoking Cessation and Reduction Attempts: Findings from Help-Seeking Smokers.Journal of smoking cessation · 2021Article
- Mining Electronic Health Records to Promote the Reach of Digital Interventions for Cancer Prevention Through Proactive Electronic Outreach: Protocol for the Mixed Methods OptiMine Study.JMIR research protocols · 2020Article
- Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study.JMIR mHealth and uHealth · 2020Article
- Mobile Applications for the Treatment of Tobacco Use and Dependence.Current addiction reports · 2019Article
- Connected Health Technology for Cardiovascular Disease Prevention and Management.Current treatment options in cardiovascular medicine · 2019Review
- Comparison of Developers' and End-Users' Perspectives About Smoking Cessation Support Through the Crush the Crave App.JMIR mHealth and uHealth · 2019Article
- Initial Assessment of a Comprehensive Digital Smoking Cessation Program That Incorporates a Mobile App, Breath Sensor, and Coaching: Cohort Study.JMIR mHealth and uHealth · 2019Article
- Perceived usefulness of receiving a potential smoking cessation intervention via mobile phones among smokers in Indonesia.Wellcome open research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmartphone use is growing worldwide. While hundreds of smoking cessation apps are currently available in the app stores, there is no information about who uses them. Smartphones also offer potential as a research tool, but this has not previously been explored.
objectiveThis study aims to measure and compare the uptake of a smoking cessation app over one year in Australia, the United Kingdom, and the United States. It also assesses the feasibility of conducting research via an app, describing respondents' characteristics (demographics, smoking status, and other health related app use), and examining differences across countries.
methodsThis is a cross-sectional exploratory study of adults 18 years and older, passively recruited over one year in 2012, who downloaded this study app (Quit Advisor) via the two largest app stores (Apple and Android).
resultsThe total number of app downloads after one year was 1751, 72.98% (1278/1751) of them were Apple operation system users. Of these 1751 participants, 47.68% (835/1751) were from the United States, 29.18% (511/1751) were from the United Kingdom, and 16.68% (292/1751) were from Australia. There were 602 participants, 36.75% (602/1638) that completed a questionnaire within the app. Of these 602 participants, 58.8% (354/602) were female and the mean age was 32 years. There were no significant differences between countries in terms of age, operation system used, number of quitting attempts, and language spoken at home. However, there were significant differences between countries in terms of gender and stage of change. There were 77.2% (465/602) of the respondents that were ready to quit in the next 30 days and the majority of these had never sought professional help (eg, "Quitline"). More than half had downloaded smoking cessation apps in the past and of these, three-quarters had made quitting attempts (lasted at least 24 hours) using an app before. Respondents who had attempted to quit three times or more in the previous year were more likely to have tried smoking cessation apps (OR 3.3, 95% CI 2.1-5.2). There were 50.2% (302/602) of the respondents that had used other health related apps before. Of these, 89.4% (270/302) were using health related apps at least once a week, but 77.5% (234/302) never checked the credibility of the health app publishers before downloading.
conclusionsA smartphone app was able to reach smokers across three countries that were not seeking professional help, but were ready to quit within the next 30 days. Respondents were relatively young and almost demographically similar across all three countries. They also frequently used other health related apps, mostly without checking the credibility of their publishers.
Indexed as
Identifiers
What OpenQuestion holds
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.