I miss the care even though I know it's just a machine": An explorative study of the relationship between an Internet-based smoking cessation intervention and its participants (original) (raw)
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Design and Pilot Evaluation of an Internet Smoking Cessation Program
Journal of the American Medical Informatics Association, 2003
About 23.5% of Americans smoke, and more than 70% of those who do say that they want to quit. The vast majority of smokers try to quit without professional help (80%); however, only about 10% succeed. 1 This article focuses on the development of a model for using Internet technologies to help smokers quit on their own. The approach uses a widely recognized cognitive/behavioral model for treatment of addiction. 2,3 including the use of mood management techniques to support smokers during their quit efforts.
Evaluation of an Internet-based smoking cessation program: Lessons learned from a pilot study
Nicotine & Tobacco Research, 2003
The potential contribution of the Internet to smoking cessation seems huge, given that a majority of Americans now have both computers and telephones. Despite the proliferation of Web sites offering smoking cessation support, there is little empirical evidence regarding the efficacy of Internet-delivered cessation programs. We developed a cessation Web site and conducted a short-term evaluation of it, examining recruitment approaches, Web site use patterns, alternative retention incentives and re-contact modes, satisfaction, and cessation rate. The intervention included modules on social support and cognitive-behavioral coping skills configured to take advantage of the interactive and multimedia capabilities of the Internet. Cessation and satisfaction data were obtained from a subsample of 370 subjects followed for 3 months. The program was rated as easy to use, and the social support group component was used most frequently. The cessation rate (abstinence for the previous 7 days) at 3 months was 18%, with nonrespondents (n~161) considered smokers. Among a variety of traditional and Internet-based recruitment strategies, the most successful made use of Internet user groups and search engines. Methodological and procedural issues posed in conducting research on the Internet are discussed.
A theory-based interactive internet-based smoking cessation intervention
Translational Behavioral Medicine, 2012
Reviews of internet-based behaviour-change interventions have shown that they can be effective but there is considerable heterogeneity and effect sizes are generally small. In order to advance science and technology in this area, it is essential to be able to build on principles and evidence of behaviour change in an incremental manner. We report the development of an interactive smoking cessation website, StopAdvisor, designed to be attractive and effective across the social spectrum. It was informed by a broad motivational theory (PRIME), empirical evidence, web-design expertise, and user-testing. The intervention was developed using an open-source webdevelopment platform, 'LifeGuide', designed to facilitate optimisation and collaboration. We identified 19 theoretical propositions, 33 evidence-or theorybased behaviour change techniques, 26 web-design principles and nine principles from user-testing. These were synthesised to create the website, 'StopAdvisor' (see http://www.lifeguideonline.org/ player/play/stopadvisordemonstration). The systematic and transparent application of theory, evidence, webdesign expertise and user-testing within an opensource development platform can provide a basis for multi-phase optimisation contributing to an 'incremental technology' of behaviour change.
Development of StopAdvisor: A theory-based interactive internet-based smoking cessation intervention
Reviews of internet-based behaviour-change interventions have shown that they can be effective but there is considerable heterogeneity and effect sizes are generally small. In order to advance science and technology in this area, it is essential to be able to build on principles and evidence of behaviour change in an incremental manner. We report the development of an interactive smoking cessation website, StopAdvisor, designed to be attractive and effective across the social spectrum. It was informed by a broad motivational theory (PRIME), empirical evidence, web-design expertise, and user-testing. The intervention was developed using an open-source web-development platform, 'LifeGuide', designed to facilitate optimisation and collaboration. We identified 19 theoretical propositions, 33 evidence- or theory-based behaviour change techniques, 26 web-design principles and nine principles from user-testing. These were synthesised to create the website, 'StopAdvisor' (se...
2004
The aim of this study was to determine whether an automated e-mail messaging system that sent individually timed educational messages (ITEMs) increased the effectiveness of an Internet smoking cessation intervention. Design: Using two consecutive series of participants, the authors compared two Web-based self-help style smoking cessation interventions: a single-point-in-time educational intervention and an enhanced intervention that also sent ITEMs timed to participants' quit efforts. Outcomes were compared in 199 participants receiving the one-time intervention and 286 receiving ITEMs. Measurements: Demographic factors, number of cigarettes smoked, nicotine addiction, depressive symptoms, and confidence in ability to quit were measured at entry. Twenty-four-hour quit attempts and seven-day point-prevalence of abstinence (nonrespondents assumed to smoke) were measured 30 days after each subject's self-selected quit date. Results: The one-time and ITEMs groups differed in some demographics and some relapse risk factors but not in factors associated with 30-day quit rates. ITEMs appeared to increase the rate at which individuals set quit dates (97% vs. 91%, p = 0.005) and, among the respondents to follow-up questionnaires (n = 145), the rate of reported 24-hour quit efforts (83% vs. 54%, p = 0.001). The 30-day intent-to-treat quit rates were higher in the ITEMs group: 7.5% vs. 13.6%, p = 0.035. In multivariate analyses controlling for differences between groups, receiving ITEMs was associated with an increase in the odds ratio for quitting of 2.6 (95% confidence interval = 1.3-5.3). Conclusion: ITEMs sent on strategic days in smokers' quit efforts enhanced early success with smoking cessation relative to a single-point-in-time Web intervention. The effect appears to be mediated by ITEMs' causing smokers to plan and undertake quit efforts more frequently.
Initial evaluation of a real‐world Internet smoking cessation system
Nicotine & Tobacco Research, 2005
To significantly reduce smoking prevalence, treatments must balance reach, efficacy, and cost. The Internet can reach millions of smokers cost-effectively. Many cessation Web sites exist, but few have been evaluated. As a result, the potential impact of the Internet on smoking prevalence remains unknown. The present study reports the results, challenges, and limitations of a preliminary, largescale evaluation of a broadly disseminated smoking cessation Web site used worldwide (QuitNet). Consecutive registrants (N=1,501) were surveyed 3 months after they registered on the Web site to assess 7-day point prevalence abstinence. Results must be interpreted cautiously because this is an uncontrolled study with a 25.6% response rate. Approximately 30% of those surveyed indicated they had already quit smoking at registration. Excluding these participants, an intention-to-treat analysis yielded 7% point prevalence abstinence (for the responders only, abstinence was 30%). A range of plausible cessation outcomes (9.8%-13.1%) among various subgroups is presented to illustrate the strengths and limitations of conducting Web-based evaluations, and the tensions between clinical and dissemination research methods. Process-to-outcome analyses indicated that sustained use of QuitNet, especially the use of social support, was associated with more than three times greater point prevalence abstinence and more than four times greater continuous abstinence. Despite its limitations, the present study provides useful information about the potential efficacy, challenging design and methodological issues, process-to-outcome mechanisms of action, and potential public health impact of Internet-based behavior change programs for smoking cessation.
Journal of Medical Internet Research, 2011
Background: Studies suggest that tailored materials are superior to nontailored materials in supporting health behavioral change. Several trials on tailored Internet-based interventions for smoking cessation have shown good effects. There have, however, been few attempts to isolate the effect of the tailoring component of an Internet-based intervention for smoking cessation and to compare it with the effectiveness of the other components. Objective: The study aim was to isolate the effect of tailored emails in an Internet-based intervention for smoking cessation by comparing two versions of the intervention, with and without tailored content. Methods: We conducted a two-arm, randomized controlled trial of the open and free Norwegian 12-month follow-up, fully automated Internet-based intervention for smoking cessation, slutta.no. We collected information online on demographics, smoking, self-efficacy, use of the website, and participant evaluation at enrollment and subsequently at 1, 3, and 12 months. Altogether, 2298 self-selected participants aged 16 years or older registered at the website between August 15, 2006 and December 7, 2007 and were randomly assigned to either a multicomponent, nontailored Internet-based intervention for smoking cessation (control) or a version of the same Internet-based intervention with tailored content delivered on the website and via email. Results: Of the randomly assigned participants, 116 (of 419, response rate = 27.7%) in the intervention group and 128 (of 428, response rate = 29.9%) in the control group had participated over the 12 months and responded at the end of follow-up. The 7-day intention-to-treat abstinence rate at 1 month was 15.2% (149/982) among those receiving the tailored intervention, compared with 9.4% (94/999) among those who received the nontailored intervention (P < .001). The corresponding figures at 3 months were 13.5% (122/902) and 9.4% (84/896, P =.006) and at 12 months were 11.2% (47/419) and 11.7% (50/428, P = .91). Likewise, the intervention group had higher self-efficacy and perceived tailoring at 1 and 3 months. Self-efficacy was found to partially mediate the effect of the intervention. Conclusion: Tailoring an Internet-based intervention for smoking cessation seems to increase the success rates in the short term, but not in the long term.