ArticleJournal of medical Internet research2018
Identification of Users for a Smoking Cessation Mobile App: Quantitative Study.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Use of Mobile Technologies for Smoking Cessation Among Smokers and Former Smokers: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Adherence to mHealth quit smoking application 'stopcoach' on top of evidence based smoking cessation counselling: association with participant characteristics and long-term abstinence.Substance abuse treatment, prevention, and policy · 2025Article
- Young Smokers' Therapy Preferences: App-Based vs. Face-to-Face Treatment in the Context of Co-Addictions.Healthcare (Basel, Switzerland) · 2025Article
- The Impact of Digital Health on Smoking Cessation.Interactive journal of medical research · 2023Article
- Direct Outreach in Bars and Clubs to Enroll Cigarette Smokers in Mobile Cessation Services: Exploratory Study.JMIR formative research · 2022Article
- Perceived Factors Influencing the Public Intention to Use E-Consultation: Analysis of Web-Based Survey Data.Journal of medical Internet research · 2021Article
- Methods Used in Smoking Cessation and Reduction Attempts: Findings from Help-Seeking Smokers.Journal of smoking cessation · 2021Article
- Perceptions of Practitioners on Telehealth and App Use for Smoking Cessation and COPD Care-An Exploratory Study.Medicina (Kaunas, Lithuania) · 2020Article
- Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis.Tobacco prevention & cessation · 2020Review
- The Association Between Willingness of Frontline Care Providers' to Adaptively Use Telehealth Technology and Virtual Service Performance in Provider-to-Provider Communication: Quantitative Study.Journal of medical Internet research · 2019Article
- Article
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 at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe number of mobile apps that support smoking cessation is growing, indicating the potential of the mobile phone as a means to support cessation. Knowledge about the potential end users for cessation apps results in suggestions to target potential user groups in a dissemination strategy, leading to a possible increase in the satisfaction and adherence of cessation apps.
objectiveThis study aimed to characterize potential end users for a specific mobile health (mHealth) smoking cessation app.
methodsA quantitative study was conducted among 955 Dutch smokers and ex-smokers. The respondents were primarily recruited from addiction care facilities and hospitals through Web-based media via websites and forums. The respondents were surveyed on their demographics, smoking behavior, and personal innovativeness. The intention to use and the attitude toward a cessation app were determined on a 5-point Likert scale. To study the association between the characteristics and intention to use and attitude, univariate and multivariate ordinal logistic regression analyses were performed.
resultsThe multivariate ordinal logistic regression showed that the number of previous quit attempts (odds ratio [OR] 4.1, 95% CI 2.4-7.0, and OR 3.5, 95% CI 2.0-5.9) and the score on the Fagerstrom Test of Nicotine Dependence (OR 0.8, 95% CI 0.8-0.9, and OR 0.8, 95% CI 0.8-0.9) positively correlates with the intention to use a cessation app and the attitude toward cessation apps, respectively. Personal innovativeness also positively correlates with the intention to use (OR 0.3, 95% CI 0.2-0.4) and the attitude towards (OR 0.2, 95% CI 0.1-0.4) a cessation app. No associations between demographics and the intention to use or the attitude toward using a cessation app were observed.
conclusionsThis study is among the first to show that demographic characteristics such as age and level of education are not associated with the intention to use and the attitude toward using a cessation app when characteristics related specifically to the app, such as nicotine dependency and the number of quit attempts, are present in a multivariate regression model. This study shows that the use of mHealth apps depends on characteristics related to the content of the app rather than general user characteristics.
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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.