Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-19T10:32:43.387Z Has data issue: false hasContentIssue false
  • English
  • Français

SmokefreeTXT Behaviour Change Technique Analysis

Published online by Cambridge University Press:  20 December 2016

Iva Stoyneva ,
Kisha Coa ,
Jillian Pugatch ,
Amy Sanders ,
Mary Schwarz  and
Heather Cole-Lewis
Iva Stoyneva*
Affiliation:
Insights and Design, ICF Inc, Fairfax, Virginia
Kisha Coa
Affiliation:
Insights and Design, ICF Inc, Fairfax, Virginia
Jillian Pugatch
Affiliation:
Insights and Design, ICF Inc, Fairfax, Virginia
Amy Sanders
Affiliation:
Insights and Design, ICF Inc, Fairfax, Virginia
Mary Schwarz
Affiliation:
Insights and Design, ICF Inc, Fairfax, Virginia
Heather Cole-Lewis
Affiliation:
Insights and Design, ICF Inc, Fairfax, Virginia
*
Address for correspondence: Iva Stoyneva, Insights and Design, ICF Inc., Fairfax, Virginia. Email: iva.stoyneva@icfi.com
Get access Rights & Permissions [Opens in a new window]

Abstract

Mobile text-messaging smoking cessation interventions have demonstrated their efficacy in increasing cessation rates. These interventions tend to be multifaceted and there is a need to specify their building blocks. The purpose of this study was to use the Behavioural Change Techniques Taxonomy V1 (BCTTv1) to systematically analyse the behaviour change techniques present in the SmokefreeTXT (SFTXT) adult programme. The entire SFTXT library was coded using the BCTTv1. Frequencies were calculated to assess the presence of BCT groups and unique BCTs in the entire programme. The mix of BCTs was also examined by programme week and during periods of high user dropout. Of the 16 groups of behavioural techniques, 14 were present in SFTXT. Of the 93 distinct BCTs, 41 were present in the full SFTXT message library. The most prevalent BCT groups were Feedback and Monitoring, Natural Consequences, Social Support, and Shaping Knowledge. There were differences in the mix of BCTs across the duration of the intervention. The results will enable us to test how changes in the use of specific BCTs and their frequency of use over time, impact (1) engagement with the programme (particularly during the days with high dropout rates), and (2) smoking cessation outcomes over time.

Type
Original Articles
Information
Journal of Smoking Cessation , Volume 12 , Issue 4 , December 2017 , pp. 231 - 243
Copyright
Copyright © The Author(s) 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abroms, L. C., Boal, A. L., Simmens, S. J., Mendel, J. A., & Windsor, R. A. (2014). A randomized trial of Text2Quit: A text messaging program for smoking cessation. American Journal of Preventive Medicine, 47 (3), 242–250. doi:10.1016/j.amepre.2014.04.010.Google Scholar
Bishop, F. L., Fenge-Davies, A. L., Kirby, S., & Geraghty, A. W. (2015). Context effects and behaviour change techniques in randomised trials: A systematic review using the example of trials to increase adherence to physical activity in musculoskeletal pain. Psychology & Health, 30 (1), 104–121. doi:10.1080/08870446.2014.953529.Google Scholar
Bock, B., Heron, K., Jennings, E., Morrow, K., Cobb, V., Magee, J. et al. (2013). A text message delivered smoking cessation intervention: The initial trial of TXT-2-Quit: Randomized controlled trial. JMIR mHealth and uHealth, 1 (2), e17. doi:10.2196/mhealth.2522.Google Scholar
Centers for Disease Control and Prevention. (2011, November 11). Quitting smoking among adults: United States, 2001–2010. Morbidity and Mortality Weekly Report, 60 (44), 1513–1519. Retrieved from http://www.cdc.gov/MMWr/preview/mmwrhtml/mm6044a2.htm.Google Scholar
Centers for Disease Control and Prevention. (2014, February 6). Tobacco-related mortality [Fact sheet]. Retrieved from http://www.cdc.gov/tobacco/data_statistics/fact_sheets/health_effects/tobacco_related_mortality/index.htm.Google Scholar
Centers for Disease Control and Prevention. (2016, March 14). Current cigarette smoking among adults in the United States [Fact sheet]. Retrieved from http://www.cdc.gov/tobacco/data_statistics/fact_sheets/adult_data/cig_smoking/.Google Scholar
Chakraborty, B., Collins, L. M., Strecher, V. J., & Murphy, S. A. (2009). Developing multicomponent interventions using fractional factorial designs. Statistics in Medicine, 28 (21), 2687–2708. doi:10.1002/sim.3643.CrossRefGoogle ScholarPubMed
Cole-Lewis, H., Augustson, E., Sanders, A., Schwarz, M., Geng, Y., Coa, K., & Hunt, Y. (2016). Analysing user-reported data for enhancement of SmokefreeTXT: a national text message smoking cessation intervention. Tobacco Control, tobaccocontrol-2016.Google Scholar
Collins, L. M., Murphy, S. A., & Strecher, V. (2007). The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART). New methods for more potent eHealth interventions. American Journal of Preventive Medicine, 32 (Suppl. 5), S112–S118. doi:10.1016/j.amepre.2007.01.022.Google Scholar
Dale, H., Raftery, B., & Locke, H. (2014). Behaviour change and sexual health; SHARE programme evaluation. Health Education, 114 (1), 2–19. doi:10.1108/HE-12-2012-0056.Google Scholar
Direito, A., Dale, L. P., Shields, E., Dobson, R., Whittaker, R., & Maddison, R. (2014). Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health, 14 (1), 646. doi:10.1186/1471-2458-14-646.Google Scholar
Fiore, M. C., Jaén, C. R., Baker, T. B., Bailey, W. C., Benowitz, N. L., Curry, S. J. et al. (2008). Treating tobacco use and dependence: 2008 update (Clinical Practice Guideline). Rockville, MD: U.S. Department of Health and Human Services.Google Scholar
Free, C., Whittaker, R., Knight, R., Abramsky, T., Rodgers, A., & Roberts, I. G. (2009). Txt2stop: a pilot randomised controlled trial of mobile phone-based smoking cessation support. Tobacco control, 18 (2), 88–91. doi:10.1136/tc.2008.026146 Google Scholar
Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W. et al. (2011). Smoking cessation support delivered via mobile phone text messaging (txt2stop): A single-blind, randomised trial. Lancet, 378 (9785), 49–55. doi:10.1016/S0140-6736(11)60701-0.Google Scholar
Guerriero, C., Cairns, J., Roberts, I., Rodgers, A., Whittaker, R., & Free, C. (2013). The cost-effectiveness of smoking cessation support delivered by mobile phone text messaging: Txt2stop. The European Journal of Health Economics, 14 (5), 789–797. doi:10.1007/s10198-012-0424-5.CrossRefGoogle ScholarPubMed
Hall, A. K., Cole-Lewis, H., & Bernhardt, J. M. (2015). Mobile text messaging for health: A systematic review of reviews. Annual Review of Public Health, 36, 393–415. doi:10.1146/annurev-publhealth-031914-122855.Google Scholar
Hynynen, S.-T., van Stralen, M. M., Sniehotta, F. F., Araújo-Soares, V., Hardeman, W., Chinapaw, M. J. M. et al. (2014). A systematic review of school-based physical activity and sedentary behaviour interventions among older adolescents. European Health Psychologist, 16 (Suppl.), 496.Google Scholar
Michie, S., Free, C., & West, R. (2012). Characterising the ‘Txt2Stop'smoking cessation text messaging intervention in terms of behaviour change techniques. Journal of Smoking Cessation, 7 (1), 55–60. doi:10.1017/jsc.2012.12.Google Scholar
Michie, S., Hyder, N., Walia, A., & West, R. (2011). Development of a taxonomy of behaviour change techniques used in individual behavioural support for smoking cessation. Addictive Behaviours, 36 (4), 315–319. doi:10.1016/j.addbeh.2010.11.016.Google Scholar
Michie, S., Johnston, M., Abraham, C., Francis, J., Hardeman, W., & Eccles, M. (2014). BCT taxonomy, version 1: Starter pack for trainees. Retrieved from http://www.bct-taxonomy.com/pdf/StarterPack.pdf.Google Scholar
Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W. et al. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46 (1), 81–95. doi:10.1007/s12160-013-9486-6.Google Scholar
Presseau, J., Knittle, K., Newham, J., Grimshaw, J. M., Danko, K., & Ivers, N. M. (2014). Behaviour change techniques used in diabetes quality improvement interventions: Secondary analysis of a systematic review. European Health Psychologist, 16 (Suppl.), 581.Google Scholar
Rainie, L., (2013, June 6). Cell Phone ownership hits 91% of adults. Retrieved from http://www.pewresearch.org/fact-tank/2013/06/06/cell-phone-ownership-hits-91-of-adults/.Google Scholar
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R. B., & Jones, M. (2005). Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging. Tobacco Control, 14 (4), 255–261. doi:10.1136/tc.2005.011577.Google Scholar
Squiers, L. B., Augustson, E., Brown, D., Kelly, B., Southwell, B., Dever, J., . . . & Sanders, A. (2016). An experimental comparison of mobile texting programs to help young adults quit smoking. Health Systems, 1–14. doi:10.1057/s41306-016-0014-3. Google Scholar
West, R., Walia, A., Hyder, N., Shahab, L., & Michie, S. (2010). Behavior change techniques used by the English Stop Smoking Services and their associations with short-term quit outcomes. Nicotine & Tobacco Research, 12 (7), 742–747. doi:10.1093/ntr/ntq074.Google Scholar
Whittaker, R., McRobbie, H., Bullen, C., Borland, R., Rodgers, A., & Gu, Y. (2012). Mobile phone-based interventions for smoking cessation. Cochrane Database of Systematic Reviews, 11, CD006611. doi:10.1002/14651858.CD006611.pub3.Google Scholar
Yang, C. H., Maher, J. P., & Conroy, D. E. (2015). Implementation of behavior change techniques in mobile applications for physical activity. American Journal of Preventive Medicine, 48 (4), 452–455. doi:10.1016/j.amepre.2014.10.010.Google Scholar