Delivering "Just-In-Time" smoking cessation support via mobile phones: Current knowledge and future directions

Nicotine and Tobacco Research

Volumn 19, Issue 3, 2017, Pages 379-383

  Naughton, Felix ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; BEHAVIOR CHANGE; CLINICAL EFFECTIVENESS; COGNITIVE BEHAVIORAL THERAPY; HIGH RISK BEHAVIOR; HUMAN; MOBILE PHONE; NOTE; RISK REDUCTION; SMOKING CESSATION; SMOKING HABIT; SOCIAL SUPPORT;

EID: 85016196683     PISSN: 14622203     EISSN: 1469994X     Source Type: Journal    
DOI: 10.1093/ntr/ntw143     Document Type: Note

References (40)

1. Shiffman S, Paty JA, Gnys M, Kassel JA, Hickcox M. First lapses to smoking: within-subjects analysis of real-time reports. J Consult Clin Psychol. 1996;64:366-379.
2. Deiches JF, Baker TB, Lanza S, Piper ME. Early lapses in a cessation attempt: lapse contexts, cessation success, and predictors of early lapse. Nicotine Tob Res. 2013;15(11):1883-1891. doi:10.1093/ntr/ntt074.
3. Ashare RL, Wileyto EP, Perkins KA, Schnoll RA. The first 7 days of a quit attempt predicts relapse: validation of a measure for screening medications for nicotine dependence. J Addict Med. 2013;7(4):249-254. doi:10.1097/ADM.0b013e31829363e1.
4. Kenford SL, Fiore MC, Jorenby DE, Smith SS, Wetter D, Baker TB. Predicting smoking cessation. Who will quit with and without the nicotine patch. JAMA. 1994;271:589-594.
5. Shadel WG, Martino SC, Setodji C, et al. Lapse-induced surges in craving influence relapse in adult smokers: an experimental investigation. Health Psychol. 2011;30(5):588-596. doi:10.1037/a0023445.
6. Ferguson SG, Shiffman S. The relevance and treatment of cue-induced cravings in tobacco dependence. J Subst Abuse Treat. 2009;36(3): 235-243. doi:10.1016/j.jsat.2008.06.005.
7. Brodbeck J, Bachmann MS, Znoj H. Distinct coping strategies differentially predict urge levels and lapses in a smoking cessation attempt. Addict Behav. 2013;38(6):2224-2229. doi:10.1016/j.addbeh.2013.02.001.
8. Naughton F, McEwen A, Sutton S. Use and effectiveness of lapse prevention strategies among pregnant smokers. J Health Psychol. 2015;20(11): 1427-1433. doi:10.1177/1359105313512878.
9. O'Connell KA, Hosein VL, Schwartz JE, Leibowitz RQ. How does coping help people resist lapses during smoking cessation? Health Psychol. 2007;26:77-84.
10. O'Connell KA, Hosein VL, Schwartz JE. Thinking and/or doing as strategies for resisting smoking. Res Nurs Health. 2006;29:533-542.
11. Dey AK, Wac K, Ferreira D, Tassini K, Hong J, Ramos J. Getting closer: an empirical investigation of the proximity of user to their smart phones. UbiComp '11 Proceedings of the 13th international conference on Ubiquitous computing 2011;163-172. http://dl.acm.org/citation. cfm?id=2030135. Accessed December 1, 2015.
12. McClernon FJ, Roy CR. I am your smartphone and i know you are about to smoke: the application of mobile sensing and computing approaches to smoking research and treatment. Nicotine Tob Res. 2013;15(10): 1651-1654. doi:10.1093/ntr/ntt054.
13. Naughton F, Sutton S. Going mobile: delivering behavioural support via SMS text messages. Eur Health Psychol. 2011;13:27-29. http://openhealthpsychology.net/ehp/issues/2011/v13iss2_June2011/13_2_ NaughtonSutton.pdf. Accessed December 1, 2015.
14. Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. 2010;15(Pt 1):1-39. doi:10.1348/135910709X466063.
15. Free C, Knight R, Robertson S, et al. Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet. 2011;378(9785):49-55. doi:10.1016/S0140-6736(11)60701-0.
16. Naughton F, Jamison J, Boase S, et al. Randomized controlled trial to assess the short-term effectiveness of tailored web-and text-based facilitation of smoking cessation in primary care (iQuit in Practice). Addiction. 2014;109(7):1184-1193. doi:10.1111/add.12556.
17. Naughton F, Prevost AT, Gilbert H, Sutton S. Randomised controlled trial evaluation of a tailored leaflet and SMS text message self-help intervention for pregnant smokers (MiQuit). Nicotine Tob Res. 2012;14(5):569-577. doi:10.1093/ntr/ntr254.
18. Brendryen H, Kraft P. Happy ending: a randomized controlled trial of a digital multi-media smoking cessation intervention. Addiction. 2008;103(3):478-484. doi:10.1111/j.1360-0443.2007.02119.x.
19. Ubhi HK, Michie S, Kotz D, Wong WC, West R. A mobile app to aid smoking cessation: preliminary evaluation of SmokeFree28. J Med Internet Res. 2015;17(1):e17. doi:10.2196/jmir.3479.
20. Naughton F, Hopewell S, Lathia N, et al. The feasibility of a context sensing smoking cessation smartphone application (Q Sense): a mixed methods study. JMIR mHealth uHealth (in press).
21. Android Developer. Creating and Monitoring Geofences. 2015. http://developer. android com/training/location/geofencing.html. Accessed December 1, 2015.
22. Balmford J, Borland R. How do smokers use a smoking cessation text messaging intervention? Nicotine Tob Res. 2014;16(12):1586-1592. doi:10.1093/ntr/ntu111.
23. Devries KM, Kenward MG, Free CJ. Preventing smoking relapse using text messages: analysis of data from the txt2stop trial. Nicotine Tob Res. 2012;15(1):77-82. doi:10.1093/ntr/nts086.
24. Hoeppner BB, Hoeppner SS, Seaboyer L, et al. How smart are smartphone apps for smoking cessation? A content analysis. Nicotine Tob Res. 2016;18:1025-31.
25. Shiffman S, Balabanis MH, Gwaltney CJ, et al. Prediction of lapse from associations between smoking and situational antecedents assessed by ecological momentary assessment. Drug Alcohol Depend. 2007;91:159-168.
26. Mason MJ, Mennis J, Zaharakis NM, Way T. The dynamic role of urban neighborhood effects in a text-messaging adolescent smoking intervention. Nicotine Tob Res. 2016;18:1039-45.
27. Spruijt-Metz D, Nilsen W. Dynamic models of behavior for just-intime adaptive interventions. Pervasive Comput. 2014;13(3):13-17. doi:10.1109/mprv.2014.46.
28. Abroms LC, Lee WJ, Bontemps-Jones J, Ramani R, Mellerson J. A content analysis of popular smartphone apps for smoking cessation. Am J Prev Med. 2013;45(6):732-736. doi:10.1016/j.amepre.2013.07.008.
29. Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev. 2012;11:CD006611. doi:10.1002/14651858.CD006611.pub3.
30. Boal AL, Abroms LC, Simmens S, Graham AL, Carpenter KM. Combined quitline counseling and text messaging for smoking cessation: a quasiexperimental evaluation. Nicotine Tob Res. 2016;18:1046-53.
31. Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res. 2013;15(4):e86. doi:10.2196/jmir.2583.
32. Parate A, Chiu M, Chadowitz C, Ganesan D, Kalogerakis E. RisQ: Recognizing Smoking Gestures with Inertial Sensors on a Wristband. MobiSys. 2014;2014:149-161. doi:10.1145/2594368.2594379.
33. Pejovic V, Musolesi M. Anticipatory mobile computing for behaviour change interventions. In: Mobile Systems for Computational Social Science Workshop, UbiComp '14. 2014. doi:10.1145/2638728.2641284.
34. Lu H, Mashfiqui Rabbi GTC, Frauendorfer D, et al. StressSense: detecting stress in unconstrained acoustic environments using smartphones. UbiComp '12. 2012. doi:10.1145/2370216.2370270.
35. Rachuri KK, Musolesi M, Mascolo C, Rentfrow PJ, Longworth C, Aucinas A. EmotionSense: a mobile phone based adaptive platform for experimental social psychology research. In: Proceedings of 12th ACM International Conference on Ubiquitous Computing (UbiComp'10). Copenhagen, Denmark. September 2010. doi:10.1145/1864349.1864393.
36. Klasnja P, Consolvo S, Choudhury T, Beckwith R, Hightower J. Exploring privacy concerns about personal sensing. Pervasive Comput. 2009;5538:176-183. doi:10.1007/978-3-642-01516-8_13.
37. Michie S, Richardson M, Johnston M, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81-95. doi:10.1007/s12160-013-9486-6.
38. McFall RM. Effects of self-monitoring on normal smoking behavior. J Consult Clin Psychol. 1970;35:135-142.
39. Mohr DC, Schueller SM, Montague E, Burns MN, Rashidi P. The behavioral intervention technology model: an integrated conceptual and technological framework for eHealth and mHealth interventions. J Med Internet Res. 2014;16(6):e146. doi:10.2196/jmir.3077.
40. McCarthy DE, Minami H, Yeh VM, Bold KW. An experimental investigation of reactivity to ecological momentary assessment frequency among adults trying to quit smoking. Addiction 2015;110(10):1549-1560. doi:10.1111/add.12996.