Comparison of Text and Video Computer-Tailored Interventions for Smoking Cessation: Randomized Controlled Trial

Background A wide range of effective smoking cessation interventions have been developed to help smokers to quit. Smoking rates remain high, especially among people with a lower level of education. Multiple tailoring adapted to the individual’s readiness to quit and the use of visual messaging may increase smoking cessation. Objective The results of video and text computer tailoring were compared with the results of a control condition. Main effects and differential effects for subgroups with different educational levels and different levels of readiness to quit were assessed. Methods During a blind randomized controlled trial, smokers willing to quit within 6 months were assigned to a video computer tailoring group with video messages (n=670), a text computer tailoring group with text messages (n=708), or to a control condition with short generic text advice (n=721). After 6 months, effects on 7-day point prevalence abstinence and prolonged abstinence were assessed using logistic regression analyses. Analyses were conducted in 2 samples: (1) respondents (as randomly assigned) who filled in the baseline questionnaire and completed the first session of the program, and (2) a subsample of sample 1, excluding respondents who did not adhere to at least one further intervention session. In primary analyses, we used a negative scenario in which respondents lost to follow-up were classified as smokers. Complete case analysis and multiple imputation analyses were considered as secondary analyses. Results In sample 1, the negative scenario analyses revealed that video computer tailoring was more effective in increasing 7-day point prevalence abstinence than the control condition (OR 1.45, 95% CI 1.09-1.94, P=.01). Video computer tailoring also resulted in significantly higher prolonged abstinence rates than controls among smokers with a low (ready to quit within 4-6 months) readiness to quit (OR 5.13, 95% CI 1.76-14.92, P=.003). Analyses of sample 2 showed similar results, although text computer tailoring was also more effective than control in realizing 7-day point prevalence abstinence. No differential effects were found for level of education. Complete case analyses and multiple imputation yielded similar results. Conclusions In all analyses, video computer tailoring was effective in realizing smoking cessation. Furthermore, video computer tailoring was especially successful for smokers with a low readiness to quit smoking. Text computer tailoring was only effective for sample 2. Results suggest that video-based messages with personalized feedback adapted to the smoker’s motivation to quit might be effective in increasing abstinence rates for smokers with diverse educational levels. Trial Registration Netherlands Trial Register: NTR3102; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=3102 (Archived by WebCite at http://www.webcitation.org/6NS8xhzUV).

[1]  Jennifer L. Pomeranz,et al.  The Delivery of Public Health Interventions via the Internet: Actualizing Their Potential , 2011 .

[2]  Sarah M. Greene,et al.  The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial , 2008, Journal of medical Internet research.

[3]  G. Eysenbach CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions , 2011, Journal of medical Internet research.

[4]  B. Verplanken,et al.  Reflections on past behavior: A self-report index of habit strength , 2003 .

[5]  K. Fagerström Determinants of tobacco use and renaming the FTND to the Fagerstrom Test for Cigarette Dependence. , 2012, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[6]  H. de Vries,et al.  Relapse prevention in a national smoking cessation contest: effects of coping planning. , 2008, British Journal of Health Psychology.

[7]  H. de Vries,et al.  The role of self-efficacy, recovery self-efficacy, and preparatory planning in predicting short-term smoking relapse. , 2012, British journal of health psychology.

[8]  Manel Nebot,et al.  The European Smoking Prevention Framework Approach (EFSA): an example of integral prevention. , 2003, Health education research.

[9]  D. Ary,et al.  The effectiveness of an interactive multimedia program to influence eating habits. , 2004, Health education research.

[10]  H. de Vries,et al.  Trends in socioeconomic inequalities in smoking prevalence, consumption, initiation, and cessation between 2001 and 2008 in the Netherlands. Findings from a national population survey , 2012, BMC Public Health.

[11]  Todd E. Bodner,et al.  What Improves with Increased Missing Data Imputations? , 2008 .

[12]  Eline Suzanne Smit,et al.  Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program: A Randomized Controlled Trial Among Dutch Adult Smokers , 2012, Journal of medical Internet research.

[13]  J. Schafer Multiple imputation: a primer , 1999, Statistical methods in medical research.

[14]  Andy McEwen,et al.  Online support for smoking cessation: a systematic review of the literature. , 2009, Addiction.

[15]  L. Stead,et al.  Self-help interventions for smoking cessation. , 2005, The Cochrane database of systematic reviews.

[16]  Steve Howard,et al.  Factors associated with use of automated smoking cessation interventions: findings from the eQuit study. , 2013, Health education research.

[17]  John B. Horrigan,et al.  Pew Internet & American Life Project , 2002 .

[18]  Robert West,et al.  “Catastrophic” pathways to smoking cessation: findings from national survey , 2006, BMJ : British Medical Journal.

[19]  Marilyn Frenn,et al.  Changing the tide: an Internet/video exercise and low-fat diet intervention with middle-school students. , 2005, Applied nursing research : ANR.

[20]  A. Kaufman,et al.  Development and validation of a Rasch-derived CES-D short form. , 2004, Psychological assessment.

[21]  Arie Dijkstra,et al.  Working mechanisms of computer-tailored health education: evidence from smoking cessation. , 2005, Health education research.

[22]  J Brug,et al.  Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. , 2006, Health education research.

[23]  Ziming Liu,et al.  Reading behavior in the digital environment: Changes in reading behavior over the past ten years , 2005, J. Documentation.

[24]  M. Hagen,et al.  Ethical principles of psychologists and code of conduct. , 2002, The American psychologist.

[25]  J. Brug,et al.  Characteristics of visitors and revisitors to an Internet-delivered computer-tailored lifestyle intervention implemented for use by the general public. , 2010, Health education research.

[26]  William Tuong,et al.  Videos to influence: a systematic review of effectiveness of video-based education in modifying health behaviors , 2014, Journal of Behavioral Medicine.

[27]  S. Hollis,et al.  What is meant by intention to treat analysis? Survey of published randomised controlled trials , 1999, BMJ.

[28]  Hein de Vries,et al.  The role of action planning and plan enactment for smoking cessation , 2013, BMC Public Health.

[29]  Russell E Glasgow,et al.  eHealth evaluation and dissemination research. , 2007, American journal of preventive medicine.

[30]  D. Moser,et al.  Factors differentiating dropouts from completers in a longitudinal, multicenter clinical trial. , 2000, Nursing research.

[31]  Gwen L. Alexander,et al.  A randomized clinical trial evaluating online interventions to improve fruit and vegetable consumption. , 2010, American journal of public health.

[32]  W F Velicer,et al.  Assessing outcome in smoking cessation studies. , 1992, Psychological bulletin.

[33]  S. Noar,et al.  Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. , 2007, Psychological bulletin.

[34]  J. Mindell,et al.  Nicotine Intake in Cigarette Smokers in England: Distribution and Demographic Correlates , 2008, Cancer Epidemiology Biomarkers & Prevention.

[35]  J. Brug,et al.  Computer-tailored interventions motivating people to adopt health promoting behaviours: introduction to a new approach. , 1999, Patient education and counseling.

[36]  Hein de Vries,et al.  Efficacy of a single computer-tailored e-mail for smoking cessation: results after 6 months. , 2009, Health education research.

[37]  Matthew W Kreuter,et al.  Tailored and targeted health communication: strategies for enhancing information relevance. , 2003, American journal of health behavior.

[38]  R. West,et al.  Explaining the social gradient in smoking cessation: it’s not in the trying, but in the succeeding , 2008, Tobacco Control.

[39]  L. G. Doak,et al.  The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence. , 2006, Patient education and counseling.

[40]  C. Vandelanotte,et al.  Qualitative and quantitative research into the development and feasibility of a video-tailored physical activity intervention , 2011, The international journal of behavioral nutrition and physical activity.

[41]  J. Noell,et al.  A randomised control study of a fully automated internet based smoking cessation programme , 2006, Tobacco Control.

[42]  Ron Borland,et al.  The effectiveness of personally tailored computer-generated advice letters for smoking cessation. , 2004, Addiction.

[43]  Josue P. Keely,et al.  Shape of the relapse curve and long-term abstinence among untreated smokers. , 2004, Addiction.

[44]  L. Bauld,et al.  Social inequalities in quitting smoking: what factors mediate the relationship between socioeconomic position and smoking cessation? , 2011, Journal of public health.

[45]  Reinout W Wiers,et al.  Preventing smoking relapse via web-based computer-tailored feedback: a randomized controlled trial , 2014 .

[46]  Brian G Danaher,et al.  Bandwidth Constraints to Using Video and Other Rich Media in Behavior Change Websites , 2005, Journal of medical Internet research.

[47]  V. Gebski,et al.  Inclusion of patients in clinical trial analysis: the intention‐to‐treat principle , 2003, The Medical journal of Australia.

[48]  J. Brug,et al.  The Effectiveness of Tailored Feedback and Action Plans in an Intervention Addressing Multiple Health Behaviors , 2008, American journal of health promotion : AJHP.

[49]  T. Prohaska,et al.  Challenges and opportunities in recruiting and retaining underrepresented populations into health promotion research. , 2003, The Gerontologist.

[50]  David Wellman,et al.  2010 Amendments to the 2002 "Ethical principles of psychologists and code of conduct". , 2010, The American psychologist.

[51]  Aziz Sheikh,et al.  Internet-based interventions for smoking cessation. , 2013, The Cochrane database of systematic reviews.

[52]  M. Campbell,et al.  A tailored multimedia nutrition education pilot program for low-income women receiving food assistance. , 1999, Health education research.

[53]  G. Eysenbach The Law of Attrition , 2005, Journal of medical Internet research.