ArticleJournal of medical Internet research2015
Prevalence and Frequency of mHealth and eHealth Use Among US and UK Smokers and Differences by Motivation to Quit.
Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis 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
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Mobile Technologies for Smoking Cessation Among Smokers and Former Smokers: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Impacto - A single-arm open-label pilot trial of a digital-based integrated smoking cessation program for Spanish-speaking Hispanic individuals who smoke: Development, feasibility, engagement, and clinical outcomes.Journal of substance use and addiction treatment · 2025Trial
- Smartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial.Annals of medicine · 2024Trial
- Effect of Adding Personalized Instant Messaging Apps to a Brief Smoking Cessation Model in Community Smokers in Hong Kong: Pragmatic Randomized Clinical Trial.Journal of medical Internet research · 2024Trial
- Older adults who smoke: Do they engage with and benefit from web-based smoking cessation interventions?Preventive medicine · 2022Trial
- Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Trial
- 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
- Improving quit rates of web-delivered interventions for smoking cessation: full-scale randomized trial of WebQuit.org versus Smokefree.gov.Addiction (Abingdon, England) · 2018Trial
- Smokers who are unmotivated to quit and have a child with asthma are more likely to quit with intensive motivational interviewing and repeated biomarker feedback.Journal of consulting and clinical psychology · 2017Trial
- Baseline Characteristics and Generalizability of Participants in an Internet Smoking Cessation Randomized Trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2016Trial
- Warm Handoff Versus Fax Referral for Linking Hospitalized Smokers to Quitlines.American journal of preventive medicine · 2016Trial
- Adherence Patterns of Patients Using Remote Patient Management After Myocardial Infarction: Mixed Methods Persona Approach.JMIR cardio · 2025Article
- Acceptability of a carbon monoxide monitoring feature of a smoking cessation mobile application: a virtual focus group study.BMJ public health · 2025Article
- Associations between Nicotine Dependence, Smartphone Usage Patterns, and Expected Compliance with a Smoking Cessation Application among Smokers.Healthcare informatics research · 2024Article
- Behavioral Activation Mobile App to Motivate Smokers to Quit: Feasibility and Pilot Randomized Controlled Trial.JMIR formative research · 2024Article
- 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
- Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis.Journal of medical Internet research · 2023Review
- Effect of mobile interventions with nicotine replacement therapy sampling on long-term smoking cessation in community smokers: A pragmatic randomized clinical trial.Tobacco induced diseases · 2023Article
- Web-delivered Acceptance and Commitment Therapy (ACT) for smoking cessation: Is it engaging and efficacious for US Hispanic/Latinx adult smokers?Preventive medicine reports · 2022Article
- Integrating Social Determinants of Health With Tobacco Treatment for Individuals With Opioid Use Disorder: Feasibility and Acceptability Study of Delivery Through Text Messaging.JMIR formative research · 2022Article
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
backgroundBoth mHealth and eHealth interventions for smoking cessation are rapidly being developed and tested. There are no data on use of mHealth and eHealth technologies by smokers in general or by smokers who are not motivated to quit smoking.
objectiveThe aims of our study were to (1) assess technology use (eg, texting, social media, Internet) among smokers in the United States and United Kingdom, (2) examine whether technology use differs between smokers who are motivated to quit and smokers who are not motivated to quit, (3) examine previous use of technology to assist with smoking cessation, and (4) examine future intentions to use technology to assist with smoking cessation.
methodsParticipants were 1000 adult smokers (54.90%, 549/1000 female; mean age 43.9, SD 15.5 years; US: n=500, UK: n=500) who were recruited via online representative sampling strategies. Data were collected online and included demographics, smoking history, and frequency and patterns of technology use.
resultsAmong smokers in general, there was a high prevalence of mobile and smartphone ownership, sending and receiving texts, downloading and using apps, using Facebook, and visiting health-related websites. Smokers who were unmotivated to quit were significantly less likely to own a smartphone or handheld device that connects to the Internet than smokers motivated to quit. There was a significantly lower prevalence of sending text messages among US smokers unmotivated to quit (78.2%, 179/229) versus smokers motivated to quit (95.0%, 229/241), but no significant differences between the UK groups (motivated: 96.4%, 239/248; unmotivated: 94.9%, 223/235). Smokers unmotivated to quit in both countries were significantly less likely to use a handheld device to read email, play games, browse the Web, or visit health-related websites versus smokers motivated to quit. US smokers had a high prevalence of app downloads regardless of motivation to quit, but UK smokers who were motivated to quit had greater prevalence of app downloads than smokers unmotivated to quit. US smokers were significantly more likely to have a Facebook account (87.0%, 435/500) than UK smokers (76.4%, 382/500), but smokers unmotivated to quit in both countries used Facebook less frequently than smokers motivated to quit. Smokers who were unmotivated to quit were less likely to have used eHealth or mHealth platforms to help them quit smoking in the past and less likely to say that they would use them for smoking cessation in the future.
conclusionsAlthough smokers unmotivated to quit make less use of technology than smokers motivated to quit, there is sufficient prevalence to make it worthwhile to develop eHealth and mHealth interventions to encourage cessation. Short and low-effort communications, such as text messaging, might be better for smokers who are less motivated to quit. Multiple channels may be required to reach unmotivated smokers.
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