Utilization of Smoking Cessation Informational, Interactive, and Online Community Resources as Predictors of Abstinence: Cohort Study

Background The association between greater utilization of Web-assisted tobacco interventions and increased abstinence rates is well recognized. However, there is little information on how utilization of specific website features influences quitting. Objective To determine the association between utilization of informational, interactive, and online community resources (eg. bulletin boards) and abstinence rates, with the broader objective to identify potential strategies for improving outcomes for Web-assisted tobacco interventions. Methods In Spring 2004, a cohort of 607 quitplan.com users consented to participate in an evaluation of quitplan.com, a Minnesota branded version of QuitNet.com. We developed utilization measures for different site features: general information, interactive diagnostic tools and quit planning tools, online expert counseling, passive (ie, reading of bulletin boards) and active (ie, public posting) online community engagement, and one-to-one messaging with other virtual community members. Using bivariate, multivariate, and path analyses, we examined the relationship between utilization of specific site features and 30-day abstinence at 6 months. Results The most commonly used resources were the interactive quit planning tools (used by 77% of site users). Other informational resources (ie, quitting guides) were used more commonly (60% of users) than passive (38%) or active (24%) community features. Online community engagement through one-to-one messaging was low (11%) as was use of online counseling (5%). The 30-day abstinence rate among study participants at 6 months was 9.7% (95% Confidence Interval [CI] 7.3% - 12.1%). In the logistic regression model, neither the demographic data (eg, age, gender, education level, employment, or insurance status) nor the smoking-related data (eg, cigarettes per day, time to first morning cigarette, baseline readiness to quit) nor use of smoking cessation medications entered the model as significant predictors of abstinence. Individuals who used the interactive quit planning tools once, two to three times, or four or more times had an odds of abstinence of 0.65 (95% Confidence Interval [CI] 0.22 - 1.94), 1.87 (95% CI 0.77 - 4.56), and 2.35 (95% CI 1.0 - 5.58), respectively. The use of one-to-one messages (reference = none vs 1 or more) entered the final model as potential predictor for abstinence, though the significance of this measure was marginal (OR = 1.91, 95% CI 0.92 - 3.97, P = .083). In the path analysis, an apparent association between active online community engagement and abstinence was accounted for in large part by increased use of interactive quitting tools and one-to-one messaging. Conclusions Use of interactive quitting tools, and perhaps one-to-one messaging with other members of the online community, was associated with increased abstinence rates among quitplan.com users. Designs that facilitate use of these features should be considered.

[1]  S. Shiffman,et al.  Randomized controlled trial of a web-based computer-tailored smoking cessation program as a supplement to nicotine patch therapy. , 2005, Addiction.

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

[3]  John E. Perez,et al.  Toward evidence-based Internet interventions: A Spanish/English Web site for international smoking cessation trials. , 2006, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[4]  Nathan K. Cobb,et al.  Initial evaluation of a real-world Internet smoking cessation system. , 2005, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[5]  J. Powell,et al.  Primary care Health related virtual communities and electronic support groups : systematic review of the effects of online peer to peer interactions , 2004 .

[6]  Timothy B Baker,et al.  Preventing 3 million premature deaths and helping 5 million smokers quit: a national action plan for tobacco cessation. , 2004, American journal of public health.

[7]  Nathan Cobb,et al.  Impact of a Statewide Internet-Based Tobacco Cessation Intervention , 2007, Journal of medical Internet research.

[8]  Karl Fagerstrom,et al.  Measuring nicotine dependence: A review of the Fagerstrom Tolerance Questionnaire , 1989, Journal of Behavioral Medicine.

[9]  Jean-François Etter,et al.  Comparing the Efficacy of Two Internet-Based, Computer-Tailored Smoking Cessation Programs: A Randomized Trial , 2005, Journal of medical Internet research.

[10]  John Noell,et al.  Evaluation of an Internet-based smoking cessation program: lessons learned from a pilot study. , 2003 .

[11]  Sid J. Schneider,et al.  Computerized communication as a medium for behavioral smoking cessation treatment: controlled evaluation , 1990 .

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

[13]  A. Geiger,et al.  American Cancer Society's QuitLink: randomized trial of Internet assistance. , 2007, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[14]  J. Ockene,et al.  Development of a state wide tobacco treatment specialist training and certification programme for Massachusetts , 2000, Tobacco control.

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

[16]  J. Prochaska,et al.  Stages and processes of self-change of smoking: toward an integrative model of change. , 1983, Journal of consulting and clinical psychology.

[17]  Beth Bock,et al.  Smoking cessation treatment on the Internet: content, quality, and usability. , 2004, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[18]  Patricia Dolan Mullen,et al.  Treating tobacco use and dependence: clinical practice guideline , 2000 .

[19]  Brian G Danaher,et al.  Defining Participant Exposure Measures in Web-Based Health Behavior Change Programs , 2006, Journal of medical Internet research.