ReviewTobacco prevention & cessation2017
Effectiveness of Mobile Apps for Smoking Cessation: A Review.
Review in Tobacco prevention & cessation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05318651 (Determinants of Use of Mobile Apps for Smoking Cessation), which is not on this map. Cited by 57 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.
Determinants of Use of Mobile Apps for Smoking Cessation
Who cites it
57 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of digital interventions for smoking cessation in patients with serious mental illness.Psychological medicine · 2023Pooled it
- Adherence of popular smoking cessation mobile applications to evidence-based guidelines.BMC public health · 2019Pooled it
- Mobile Health Interventions for Self-Control of Unhealthy Alcohol Use: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- Trial
- Improving Pre-Exposure Prophylaxis Adherence in People at Risk for HIV: Secondary Analysis of a Digital Health Intervention to Enhance User Engagement.JMIR mHealth and uHealth · 2026Trial
- Psilocybin or Nicotine Patch for Smoking Cessation: A Pilot Randomized Clinical Trial.JAMA network open · 2026Trial
- Evaluating the Impact of a Game (Inner Dragon) on User Engagement Within a Leading Smartphone App for Smoking Cessation: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach.Substance use & misuse · 2024Trial
- Behavioral Activation-Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial.Journal of medical Internet research · 2023Trial
- The Stop-tabac smartphone application for smoking cessation: a randomized controlled trial.Addiction (Abingdon, England) · 2022Trial
- NoFumo+: A Clinical Trial of an mHealth for Smoking Cessation with Hospitalized Patients.International journal of environmental research and public health · 2021Trial
- Enhancing Detection of Message Intents in a Mobile Health Smoking-Cessation Intervention Using Large Language Model Fine-Tuning, Data Downsampling, and Error Correction: Algorithm Development and Validation.Journal of medical Internet research · 2026Article
- Technology Access, Pattern of Use, Interest in Digital Health, and Barriers to Tobacco Treatment Among HIV-Infected Smokers From Under-Resourced Communities: A Cross-Sectional Study.Tobacco use insights · 2026Article
- Strengthening tobacco cessation across the primary health sector in the Americas: progress, gaps, and opportunities since 2007.Revista panamericana de salud publica = Pan American journal of public health · 2026Article
- Smoking Cessation Apps and Technology Acceptance Factors: Focusing on the Sense2Quit Application.Addiction & health · 2026Review
- The association of modifiable and socio-demographic factors with first transitions from smoking to exclusive e-cigarette use, dual use or no nicotine use: Findings from the Avon Longitudinal Study of Parents and Children United Kingdom birth cohort.Addiction (Abingdon, England) · 2025Article
- Approaches for cessation and elimination of tobacco to atttain sustainable development goal.Journal of family medicine and primary care · 2025Review
- Application of Behavior Change Techniques and Rated Quality of Smoking Cessation Apps in China: Content Analysis.JMIR mHealth and uHealth · 2025Article
- Initial Evaluation of Acceptability, Engagement, and Effectiveness of the MO App to Provide Tailored and Comprehensive Support for Smoking Cessation: Development and Usability Study.JMIR mHealth and uHealth · 2024Article
- Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.JMIR mHealth and uHealth · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSmartphone-based smoking cessation interventions are increasingly used around the world. However, the effects of smartphone applications on applicability and efficacy on cessation rate and prevention of relapses are not often evaluated. Therefore, this review aims to assess the evidence on effectiveness of smartphone applications as an intervention tool for smoking cessation support.
methodsWe conducted the search using Ovid Medline/PubMed, CENTRAL and Scopus databases dated (January 2007-June 2016). Inclusion criteria include randomized control trials or intervention studies with mobile applications that offer smoking cessation support. Two assessors independently extracted and evaluated the data from each included study.
resultsThe review of eight selected studies illustrate the use of smartphone applications in increasing quit rates among smokers, however adherence to app features influences quit rates. Audiovisual features followed by a quit plan, tracking progress and sharing features are most accepted and utilised app features. However, inconsistency was observed in their association with abstinence or quit rate. App engagement features increase the statistical significance in the quit rate. Development of smartphone applications was supported by behavior change theories in all studies nevertheless; heterogeneous forms of intervention were adopted within studies. Similarly, reduction in relapse attributed to enhanced discussion among quitters using social media applications was observed.
conclusionsQuality evidence is warranted with large sample size to measure effect size of the intervention. Future research on effectiveness and efficacy of smartphone alone and comparisons with other mHealth interventions, such as text messaging would be useful.
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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.