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Using ‘Smart’ Technology to Aid in Cigarette Smoking Cessation: Examining an Innovative Way to Monitor and Improve Quit Attempt Outcomes

Published online by Cambridge University Press:  25 September 2018

Carol Morriscey ,
Aaron Shephard ,
Anouk van Houdt ,
David Kerr  and
Sean P. Barrett
Carol Morriscey
Affiliation:
Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
Aaron Shephard
Affiliation:
Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
Anouk van Houdt
Affiliation:
Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
David Kerr
Affiliation:
Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
Sean P. Barrett*
Affiliation:
Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
*
Address for Correspondence: Sean Barrett, Dalhousie University, Life Sciences Centre, Rm 2525, 1355 Oxford Street, P.O. Box 15000, Halifax, NS B3H 4R2, Canada. E-mail: [email protected]
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Abstract

Introduction

Recently, smartphone applications (apps) have been used as smoking cessation aids. Interactive apps appear to more effective than non-interactive apps. SmokeBeat, a smartphone app used in conjunction with a smartwatch, aims to detect smoking events, interact with the user as they occur and potentially stop smoking events before they occur in the future.

Aims

The purpose of this feasibility study was to determine the sensitivity and specificity of SmokeBeat in detecting smoking events.

Methods

The feasibility of using the app as a smoking cessation aid was tested over a 2-week period by daily, dependent smokers. SmokeBeat's cigarette detection rate was measured in laboratory sessions both before and after the 2-week period. Fisher's exact test was used to compare detection rates from each session.

Results/Findings

The detection rate was 22.5% during session 1 and 41.7% during session 2. Once technological issues were controlled for (i.e., signal loss between smartphone and smartwatch), SmokeBeat's detection rate improved over the 2-week period, resulting in a 100% detection rate.

Conclusions

Apps which can detect smoking events in real time present an opportunity for a proactive and interactive smoking cessation aid – a potentially useful tool for individuals attempting to quit smoking.

Keywords

Smoking CessationSmartwatchCigaretteMobile AppsNicotine
Type
Original Articles
Information
Journal of Smoking Cessation , Volume 14 , Issue 3 , September 2019 , pp. 149 - 154
Copyright
Copyright © The Author(s) 2018 

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References

Balmford, J., Borland, R., Hammond, D., & Cummings, K. M. (2011). Adherence to and reasons for premature discontinuation from stop-smoking medications: data from the ITC Four-Country Survey. Nicotine & Tobacco Research, 13(2), 94–102. https://doi.org/10.1093/ntr/ntq215Google Scholar
Beard, E., West, R., Michie, S., & Brown, J. (2016). Association between electronic cigarette use and changes in quit attempts, success of quit attempts, use of smoking cessation pharmacotherapy, and use of stop smoking services in England: Time series analysis of population trends. The British Medical Journal, 354, i4645. https://doi.org/10.1136/bmj.i4645Google Scholar
Borland, R., Partos, T. R., Yong, H.-H., Cummings, K. M., & Hyland, A. (2012). How much unsuccessful quitting activity is going on among adult smokers? Data from the International Tobacco Control 4-Country cohort survey. Addiction, 107(3), 673–682. https://doi.org/10.1111/j.1360-0443.2011.03685.xGoogle Scholar
Bricker, J. B., Mull, K. E., Kientz, J. A., Vilardaga, R., Mercer, L. D., Akioka, K. J., & Heffner, J. L. (2014). Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy. Drug and Alcohol Dependence, 143, 87–94. https://doi.org/10.1016/j.drugalcdep.2014.07.006Google Scholar
Centers for Disease Control and Prevention. (2017). Tobacco-related mortality. Retrieved from: https://www.cdc.gov/tobacco/data_statistics/fact_sheets/health_effects/tobacco_related_mortality/index.htmGoogle Scholar
Chaiton, M., Diemert, L., Cohen, J. E., Bondy, S. J., Selby, P., Philipneri, A., & Schwartz, R. (2016). Estimating the number of quit attempts it takes to quit smoking successfully in a longitudinal cohort of smokers. BMJ Open, 6, e011045. https://doi.org/10.1136/bmjopen-2016-011045Google Scholar
Cokkinides, V. E., Ward, E., Jemal, A., & Thun, M. J. (2005). Under-use of smoking-cessation treatments. American Journal of Preventive Medicine, 28(1), 119–122. http://doi.org/10.1016/j.ampre.2004.09.007Google Scholar
Dar, R. (2017). Effect of real-time monitoring and notification of smoking episodes on smoking reduction: a pilot study of a novel smoking cessation app. Nicotine & Tobacco Research, ntx223, 1–4. https://doi.org/10.1093/ntr/ntx223Google Scholar
Finney Rutten, L. J., Blake, K. D., Agunwamba, A. A., Grana, R. A., Wilson, P. W., Ebbert, J. O., Okamoto, J., & Leischow, S. J. (2015). Use of e-cigarettes among current smokers: associations among reasons for use, quit intentions, and current tobacco use. Nicotine & Tobacco Research, 17(10), 1228–1234. https://doi.org/10.1093/ntr/ntv003Google Scholar
Gross, B., Brose, L., Schumann, A., Ulbricht, S., Meyer, C., Völzke, H., Rumpf, H.-J., & John, U. (2008). Reasons for not using smoking cessation aids. BMC Public Health, 8(1), 129. https://doi.org/10.1186/1471-2458-8-129Google Scholar
Hartmann-Boyce, J., Chepkin, S. C., Ye, W., Bullen, C., & Lancaster, T. (2018). Nicotine replacement therapy versus control for smoking cessation. Cochrane Database of Systemic Reviews, Issue 5, Art. No.: CD000146. https://doi.org/10.1002/14651858.CD000146.pub5Google Scholar
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerström, K. O. (1991). The Fagerström test for nicotine dependence: a revision of the Fagerström tolerance questionnaire. British Journal of Addiction, 86, 1119–1127. https://doi.org/10.1111/j.1360-0443.1991.tb01879.xGoogle Scholar
Hoeppner, B. B., Hoeppner, S. S., Seaboyer, L., Schick, M. R., Wu, G. W. Y., Bergman, B. G., & Kelly, J. F. (2016). How smart a smartphone apps for smoking cessation? A content analysis. Nicotine & Tobacco Research, 18(5), 1025–1031. https://doi.org/10.1093/ntr/ntv117Google Scholar
Iacoviello, B. M., Steinerman, J. R., Klein, D. B., Silver, T. L., Berger, A. G., Luo, S. X., & Schork, N. J. (2017). Clickotine, a personalized smartphone app for smoking cessation: initial evaluation. Jmir Mhealth and Uhealth, 5(4), e56. https://doi.org/10.2196/mhealth.7226Google Scholar
Kotz, D., Brown, J., & West, R. (2014). Prospective cohort study of the effectiveness of smoking cessation treatments used in the ‘real world’. Mayo Clinic Proceedings, 89(10), 1360–1367. https://doi.org/10.1016/j.mayocp.2014.07.004Google Scholar
Public Health Agency of Canada. (2016). Health status of Canadians 2016: A report of the Chief Public Health Officer. Retrieved from: http://healthycanadians.gc.ca/publications/department-ministere/state-public-health-status-2016-etat-sante-publique-statut/alt/pdf-eng.pdfGoogle Scholar
Reid, J. L., Hammond, D., Rynard, V. L., Madill, C. L., & Burkhalter, R. (2017). Tobacco use in Canada: Patterns and Trends. Propel Centre for Population Health Impact, University of Waterloo, Waterloo, ON, Canada.Google Scholar
Spohr, S. A., Nandy, R., Gandhiraj, D., Vemulapalli, A., Anne, S., & Walters, S. T. (2015). Efficacy of SMS text message interventions for smoking cessation: a meta-analysis. Journal of Substance Abuse Treatment, 56, 1–10 https://doi.org/10.1016/j.jsat.2015.01.011Google Scholar
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016). Mobile phone-based interventions for smoking cessation (review). Cochrane Database of Systematic Reviews, 4. https://doi.org/10.1002/14651858.CD006611.pub4Google Scholar