ArticleJMIR mHealth and uHealth2021
Self-Efficacy and Motivation to Quit of Smokers Seeking to Quit: Quantitative Assessment of Smoking Cessation Mobile Apps.
Article in JMIR mHealth and uHealth, 2021. 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 25 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.
Determinants of Use of Mobile Apps for Smoking Cessation
Who cites it
25 citing papers in PubMed.
- Sex differences in the relationship between quit attempt and smoking cessation self-efficacy in adults with depressive symptoms.Addictive behaviors · 2025Trial
- Mechanisms of Smartphone Apps for Cigarette Smoking Cessation: Results of a Serial Mediation Model From the iCanQuit Randomized Trial.JMIR mHealth and uHealth · 2021Trial
- Developing a Machine Learning Model for Personalized, Predictor-Centric, Adaptive Intervention for Vaping Cessation in Young People: Secondary Data Analysis of Smartphone App Data.International journal of environmental research and public health · 2026Article
- "Is a general belief in one's capabilities related to mental and physical health?": The relationships between self-efficacy, health outcomes, and health-related behaviour.BMC psychology · 2026Article
- Psychological mechanisms of behavioral change: Trajectories of self-efficacy and motivation among Tunisian health science students using a mobile application to quit smoking - A prospective observational study.PLOS global public health · 2026Article
- Gamified Physical-Digital Smoking Cessation Intervention for Young Adults: Mixed Methods Development and Usability Study.JMIR human factors · 2025Article
- Young Smokers' Therapy Preferences: App-Based vs. Face-to-Face Treatment in the Context of Co-Addictions.Healthcare (Basel, Switzerland) · 2025Article
- Smoking Abstinence Self-Efficacy, Decisional Balance, and Quitting Desire Among Adult Smokers in Saudi Arabia: Gender-Based Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2025Article
- Effectiveness of a Digital Peer-Supported App Intervention in Promoting Smoking Cessations: Nonrandomized Controlled Trial.JMIR mHealth and uHealth · 2025Article
- Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention.NPJ digital medicine · 2025Article
- Smoking cessation message testing to inform app-based interventions for young adults - an online experiment.BMC public health · 2025Article
- The impact of patient characteristics and social drivers of health factors on oral oncolytic adherence.Journal of managed care & specialty pharmacy · 2025Article
- Article
- The outcomes of hybrid virtual consultation for a smoking cessation program in Klang Valley, Malaysia.Tobacco induced diseases · 2025Article
- Challenges of smoking cessation in users of non-invasive stimulation technologies in Iran: a parallel convergent mixed-methods study.BMJ open · 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
- Stopping use of E-cigarettes and smoking combustible cigarettes: findings from a large longitudinal digital smoking cessation intervention study in the United States.BMC research notes · 2024Article
- Review
- Smoking cessation assistance among pneumologists and thoracic surgeons in Switzerland: a national survey.Frontiers in health services · 2024Article
- Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial.JMIR formative research · 2023Article
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
backgroundDecreasing trends in the number of individuals accessing face-to-face support are leaving a significant gap in the treatment options for smokers seeking to quit. Face-to-face behavioral support and other interventions attempt to target psychological factors such as the self-efficacy and motivation to quit of smokers, as these factors are associated with an increased likelihood of making quit attempts and successfully quitting. Although digital interventions, such as smoking cessation mobile apps, could provide a promising avenue to bridge the growing treatment gap, little is known about their impact on psychological factors that are vital for smoking cessation.
objectiveThis study aims to better understand the possible impact of smoking cessation mobile apps on important factors for successful cessation, such as self-efficacy and motivation to quit. Our aim is to assess the self-efficacy and motivation to quit levels of smokers before and after the use of smoking cessation mobile apps.
methodsSmokers seeking to quit were recruited to participate in a 4-week app-based study. After screening, eligible participants were asked to use a mobile app (Kwit or Quit Genius). The smoking self-efficacy questionnaire and the motivation to stop smoking scale were used to measure the self-efficacy and motivation to quit, respectively. Both were assessed at baseline (before app use), midstudy (2 weeks after app use), and end-study (4 weeks after app use). Paired sample two-tailed t tests were used to investigate whether differences in self-efficacy and motivation between study time points were statistically significant. Linear regression models investigated associations between change in self-efficacy and change in motivation to quit before and after app use with age, gender, and nicotine dependence.
resultsA total of 116 participants completed the study, with the majority being male (71/116, 61.2%), employed (76/116, 65.6%), single (77/116, 66.4%), and highly educated (87/116, 75.0%). A large proportion of participants had a low to moderate dependence on nicotine (107/116, 92.2%). A statistically significant increase of 5.09 points (95% CI 1.83-8.34) from 37.38 points at baseline in self-efficacy was found at the end of the study. Statistically significant increases were also found for the subcomponents of self-efficacy (intrinsic and extrinsic self-efficacies). Similarly, a statistically significant increase of 0.38 points (95% CI 0.06-0.70) from 5.94 points at baseline in motivation to quit was found at the end of the study. Gender, age, and nicotine dependence were not statistically significantly associated with changes in self-efficacy and motivation to quit.
conclusionsThe assessed mobile apps positively impacted the self-efficacy and motivation to quit of smokers making quit attempts. This has important implications on the possible future use of digitalized interventions and how they could influence important psychological factors for quitting such as self-efficacy and motivation. However, further research is needed to assess whether digital interventions can supplement or replace traditional forms of therapy.
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