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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jul 30, 2021
Date Accepted: Sep 20, 2021

The final, peer-reviewed published version of this preprint can be found here:

Smartband-Based Automatic Smoking Detection and Real-time Mindfulness Intervention: Protocol for a Feasibility Trial

Horvath M, Grutman A, O'Malley SS, Gueorguieva R, Khan N, Brewer JA, Garrison K

Smartband-Based Automatic Smoking Detection and Real-time Mindfulness Intervention: Protocol for a Feasibility Trial

JMIR Res Protoc 2021;10(11):e32521

DOI: 10.2196/32521

PMID: 34783663

PMCID: 8663689

Smartband/smartphone-based automatic smoking detection and real time mindfulness intervention: Study protocol for a feasibility trial

  • Mark Horvath; 
  • Aurora Grutman; 
  • Stephanie S. O'Malley; 
  • Ralitza Gueorguieva; 
  • Nashmia Khan; 
  • Judson A. Brewer; 
  • Kathleen Garrison

ABSTRACT

Background:

Smoking is the leading cause of preventable death in the US. Smoking cessation interventions delivered by smartphone apps are a promising tool for helping smokers quit. However, currently available smartphone apps for smoking cessation have not exploited their unique potential advantages to aid quitting. Notably, few to no available apps utilize wearable technologies; most apps require users to self-report their smoking; and few to no apps deliver treatment automatically contingent upon smoking.

Objective:

This pilot trial tests the feasibility of using a smartband and smartphone to monitor and detect smoking and deliver brief mindfulness interventions in real time to reduce smoking.

Methods:

Daily smokers (N=100, ≥5 cigarettes per day) wear a smartband for 60 days to monitor and detect smoking, notify them about their smoking events in real time, and deliver real time brief mindfulness exercises triggered by detected smoking events or targeted at predicted smoking events. Smokers set a quit date at 30 days. A three-step intervention to reduce smoking is tested. First, participants wear a smartband to monitor and detect smoking and notify them of smoking events in real time, to bring awareness to smoking and triggers, for 21 days. Next, a “mindful smoking” exercise is triggered by detected smoking events, to bring a clear recognition of the actual effects of smoking, for 7 days. Finally, after their quit date, a “RAIN” exercise is delivered to predicted smoking events (based on the initial three weeks of tracking smoking data) to help smokers learn to work mindfully with cravings rather than smoke, for 30 days. Primary outcomes are feasibility measures of treatment fidelity, adherence, and acceptability. Secondary outcomes are smoking rates at end of treatment.

Results:

Recruitment and enrollment are underway.

Conclusions:

Findings will provide data and information on the feasibility of using a smartband and smartphone to monitor and detect smoking and deliver real-time brief mindfulness interventions, and whether the intervention warrants additional testing for smoking cessation. Clinical Trial: clinicaltrials.gov NCT03995225


 Citation

Please cite as:

Horvath M, Grutman A, O'Malley SS, Gueorguieva R, Khan N, Brewer JA, Garrison K

Smartband-Based Automatic Smoking Detection and Real-time Mindfulness Intervention: Protocol for a Feasibility Trial

JMIR Res Protoc 2021;10(11):e32521

DOI: 10.2196/32521

PMID: 34783663

PMCID: 8663689

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