Automated e-mail messaging as a tool for improving quit rates in an internet smoking cessation intervention (original) (raw)
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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.
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.
A review of computer and Internet-based interventions for smoking behavior
Addictive Behaviors, 2006
This article reviews studies of computer and Internet-based interventions for smoking behavior, published between 1995 and August 2004. Following electronic and manual searches of the literature, 19 studies were identified that used automated systems for smoking prevention or cessation, and measured outcomes related to smoking behavior. Studies varied widely in methodology, intervention delivery, participant characteristics, follow-up period, and measurement of cessation. Of eligible studies, nine (47%) reported statistically significant or improved outcomes at the longest follow-up, relative to a comparison group. Few patterns emerged in terms of subject, design or intervention characteristics that led to positive outcomes. The bfirst generationQ format, where participants were mailed computer-generated feedback reports, was the modal intervention format and the one most consistently associated with improved outcomes. Future studies will need to identify whether certain patients are more likely to benefit from such interventions, and which pharmacological and behavioral adjuncts can best promote cessation. D
Long-term effectiveness of computer-generated tailored feedback in smoking cessation
Health Education Research, 1998
Although tailored interventions consisting of only a few pages of information lead to more quitting than no intervention in the short term, the long-term efficacy of a single tailored intervention still has to be proven. In the present study smokers were reactively recruited and randomly allocated to one of four intervention conditions: (1) outcome information, (2) selfefficacy enhancing information, (3) both sorts of information or (4) no information. Smokers in the three experimental groups received computer-generated tailored feedback containing the condition-specific information, by mail. The results from the 14 months follow-up can be summarized as follows. Compared to the no information condition, all three experimental conditions led to significantly more smokers who had engaged in 24-h quit attempts. However, no experimental condition led to more 7-day quitting than the no information condition. With regard to continuous abstinence, the experimental condition offering a combination of outcome information and self-efficacy enhancing information had a significant effect, compared to the no information condition. It is concluded that a minimal six-page tailored intervention can be beneficial in supporting smokers to quit smoking, even after 14 months.
Effectiveness of web-based tailored smoking cessation advice reports (iQuit): a randomized trial
Addiction, 2012
To determine whether web-based tailored cessation advice, based on social cognitive theory and the perspectives on change model, was more effective in aiding a quit attempt than broadly similar web-based advice that was not tailored. Design Participants were allocated randomly to one of two groups, to receive either a cessation advice report and progress report that were tailored to individual-level characteristics or a cessation advice report that presented standardized (non-tailored) content. Tailoring was based on smoking-related beliefs, personal characteristics and smoking patterns, self-efficacy and outcome expectations. Setting Participant enrolment and baseline assessments were conducted remotely online via the study website, with the advice reports presented by the same website. Participants Participants (n = 1758) were visitors to the QUIT website who were based in the United Kingdom, aged 18 years or over and who smoked cigarettes or hand-rolled tobacco. Measurements Follow-up assessments were made at 6 months by telephone interview. The primary outcome measure was self-reported 3 months prolonged abstinence, and secondary outcomes were 1 month prolonged abstinence, 7-day and 24-hour point prevalence abstinence. Findings The intervention group did not differ from the control group on the primary outcome (9.1% versus 9.3%; odds ratio = 1.02 95% confidence interval 0.73-1.42) or on any of the secondary outcomes. Intervention participants gave more positive evaluations of the materials than control participants. Conclusions A web-based intervention that tailored content according to smoking-related beliefs, personal characteristics and smoking patterns, self-efficacy and outcome expectations, was not more effective than web-based materials presenting broadly similar non-tailored information.
Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial
Journal of Medical Internet Research, 2012
Background Web-based computer-tailored approaches have the potential to be successful in supporting smoking cessation. However, the potential effects of such approaches for relapse prevention and the value of incorporating action planning strategies to effectively prevent smoking relapse have not been fully explored. The Stay Quit for You (SQ4U) study compared two Web-based computer-tailored smoking relapse prevention programs with different types of planning strategies versus a control group. Objectives To assess the efficacy of two Web-based computer-tailored programs in preventing smoking relapse compared with a control group. The action planning (AP) program provided tailored feedback at baseline and invited respondents to do 6 preparatory and coping planning assignments (the first 3 assignments prior to quit date and the final 3 assignments after quit date). The action planning plus (AP+) program was an extended version of the AP program that also provided tailored feedback at 11 time points after the quit attempt. Respondents in the control group only filled out questionnaires. The study also assessed
Preventive Medicine, 2014
The aim was to compare the effectiveness of untailored text messages for smoking cessation to tailored text messages delivered at a higher frequency. From users of an internet-based smoking cessation program with optional text message support aged 15-25 years were consecutively randomized to versions of the program that offered either tailored or untailored text messages. Thirty-day point abstinence from smoking was measured self-reportedly at 12-months follow-up. Response rates were 36.3% and 38.1% in the tailored and untailored group, respectively. We analyzed the entire study population, as well as those opting for text messages (n ΒΌ 1619). In intention-to-treat analysis with multiple imputation of missing data, the odds ratio for 30-day point abstinence was 1.28 (95% CI 0.91-2.08) for the tailored compared with untailored messages. When restricting the analysis to those who had chosen to receive text messages, the corresponding odds ratio was 1.45 (95% CI 1.01-2.08). The higher long-term quit rates in the group receiving the tailored text messages compared with untailored text messages in the restricted analysis indicated that tailoring and higher frequency of text messages increases quit rates among young smokers.
Effects of Web- and Computer-Based Smoking Cessation Programs
Archives of Internal Medicine, 2009
Background: The effects of Web-and computer-based smoking cessation programs are inconsistent in randomized controlled trials (RCTs). We evaluated those effects using a meta-analysis. Methods: We searched MEDLINE (PubMed), EMBASE, and the Cochrane Review in August 2008. Two evaluators independently selected and reviewed eligible studies. Results: Of 287 articles searched, 22 RCTs, which included 29 549 participants with 16 050 enrolled in Webor computer-based smoking cessation program groups and 13 499 enrolled in control groups, were included in the final analyses. In a random-effects meta-analysis of all 22 trials, the intervention group had a significant effect on smoking cessation (relative risk [RR], 1.44; 95% confidence interval [CI], 1.27-1.64). Similar findings were observed in 9 trials using a Web-based intervention (RR, 1.40; 95% CI, 1.13-1.72) and in 13 trials using a computerbased intervention (RR, 1.48; 95% CI, 1.25-1.76). Subgroup analyses revealed similar findings for different levels of methodological rigor, stand-alone vs supplemental interventions, type of abstinence rates employed, and duration of follow-up period, but not for adolescent populations (RR, 1.08; 95% CI, 0.59-1.98). Conclusion: The meta-analysis of RCTs indicates that there is sufficient clinical evidence to support the use of Web-and computer-based smoking cessation programs for adult smokers.