Web-based Smoking Cessation Program Research Articles

An Avatar-Led Web-Based and SMS Text Message Smoking Cessation Program for Socioeconomically Disadvantaged Veterans: Pilot Randomized Controlled Trial.

Despite the declining prevalence of cigarette smoking in the United States, socioeconomically disadvantaged veterans receiving care from the Veterans Health Administration have a high prevalence of smoking. Currently, available treatment options for these veterans focus on tobacco users who are ready to quit and have limited reach. Consequently, there is a great need for accessible, effective smoking cessation interventions for veterans at all levels of readiness to quit smoking. To address these needs, we developed Vet Flexiquit, a web-based Acceptance and Commitment Therapy program for veterans, and evaluated its acceptability (primary aim), efficacy, and impact on theory-based change processes relative to the National Cancer Institute's SmokefreeVET program in a pilot randomized controlled trial. Participants (N=49) were randomized 1:1 to receive either the Vet Flexiquit (n=25) or SmokefreeVET (n=24) web program. Both groups received SMS text messages as part of the intervention for 6 weeks. Both interventions are fully automated and self-guided. Primary outcome data were collected at 3 months after the randomization. Self-reported smoking abstinence was biochemically verified using saliva cotinine. Multivariable logistic regression, negative binomial regression, and linear regression models were used to evaluate the association between the treatment arm and outcomes of interest. Acceptability, as measured by overall treatment satisfaction, was high and similar across treatment arms: 100% (17/17) for Vet Flexiquit and 95% (18/19) for SmokefreeVET. Acceptability, as measured by utilization, was more modest (log-ins: M=3.7 for Vet Flexiquit and M=3.2 for SmokefreeVET). There were no statistically significant differences between treatment arms for any acceptability measures. Similarly, there were no statistically significant differences between treatment arms in the secondary outcomes of smoking cessation or change in Acceptance and Commitment Therapy's theory-based processes. In open-ended survey responses, some veterans in both treatment arms expressed interest in having support from a professional or peer to enhance their experience, as well as an expanded SMS text messaging program. Both programs had high ratings of acceptability, limited utilization, and a similar impact on cessation and cessation processes. Taken together with the qualitative data suggesting that additional support may enhance participants' experience of both programs, these preliminary findings suggest that the programs may have similar outcomes among veterans who are looking for a digital cessation treatment option and that integrating provider or peer support and enhancing the SMS text messaging program holds promise as a means of boosting engagement and outcomes for both programs. ClinicalTrials.gov NCT04502524; https://clinicaltrials.gov/ct2/show/NCT04502524.

Message Frame-Tailoring in Digital Health Communication: Intervention Redesign and Usability Testing.

BackgroundMessage frame–tailoring based on the need for autonomy is a promising strategy to improve the effectiveness of digital health communication interventions. An example of a digital health communication intervention is Personal Advice in Stopping smoking (PAS), a web-based content-tailored smoking cessation program. PAS was effective in improving cessation success rates, but its effect sizes were small and disappeared after 6 months. Therefore, investigating whether message frame–tailoring based on the individual’s need for autonomy might improve effect rates is worthwhile. However, to our knowledge, this has not been studied previously.ObjectiveTo investigate whether adding message frame–tailoring based on the need for autonomy increases the effectiveness of content-tailored interventions, the PAS program was redesigned to incorporate message frame–tailoring also. This paper described the process of redesigning the PAS program to include message frame–tailoring, providing smokers with autonomy-supportive or controlling message frames—depending on their individual need for autonomy. Therefore, we aimed to extend framing theory, tailoring theory, and self-determination theory.MethodsExtension of the framing theory, tailoring theory, and self-determination theory by redesigning the PAS program to include message frame–tailoring was conducted in close collaboration with scientific and nonscientific smoking cessation experts (n=10), smokers (n=816), and communication science students (n=19). Various methods were used to redesign the PAS program to include message frame–tailoring with optimal usability: usability testing, think-aloud methodology, heuristic evaluations, and a web-based experiment.ResultsThe most autonomy-supportive and controlling message frames were identified, the cutoff point for the need for autonomy to distinguish between people with high and those with low need for autonomy was determined, and the usability was optimized.ConclusionsThis resulted in a redesigned digital health communication intervention that included message frame–tailoring and had optimal usability. A detailed description of the redesigning process of the PAS program is provided.Trial RegistrationNetherlands Trial Register NL6512 (NRT6700); https://www.trialregister.nl/trial/6512

Subtypes of smokers in a randomized controlled trial of a web-based smoking cessation program and their role in predicting intervention non-usage attrition: Implications for the development of tailored interventions

IntroductionWeb-based smoking interventions hold potential for smoking cessation; however, many of them report low intervention usage (i.e., high levels of non-usage attrition). One strategy to counter this issue is to tailor such interventions to user subtypes if these can be identified and related to non-usage attrition outcomes. The aim of this study was two-fold: (1) to identify and describe a smoker typology in participants of a web-based smoking cessation program and (2) to explore subtypes of smokers who are at a higher risk for non-usage attrition (i.e., early dropout times). MethodsWe conducted secondary analyses of data from a large randomized controlled trial (RCT) that investigated effects of a web-based Cognitive Bias Modification intervention in adult smokers. First, we conducted a two-step cluster analysis to identify subtypes of smokers based on participants' baseline characteristics (including demographics, psychological and smoking-related variables, N = 749). Next, we conducted a discrete-time survival analysis to investigate the predictive value of the subtypes on time until dropout. ResultsWe found three distinct clusters of smokers: Cluster 1 (25.2%, n = 189) was characterized by participants being relatively young, highly educated, unmarried, light-to-moderate smokers, poly-substance users, and relatively high scores on sensation seeking and impulsivity; Cluster 2 (41.0%, n = 307) was characterized by participants being older, with a relatively high socio-economic status (SES), moderate-to-heavy smokers and regular drinkers; Cluster 3 (33.8%, n = 253) contained mostly females of older age, and participants were further characterized by a relatively low SES, heavy smoking, and relatively high scores on hopelessness, anxiety sensitivity, impulsivity, depression, and alcohol use. Additionally, Cluster 1 was more likely to drop out at the early stage of the intervention compared to Cluster 2 (adjusted Hazard Ratio (HRadjusted) = 1.51, 95% CI = [1.25, 1.83]) and Cluster 3 (HRadjusted = 1.52, 95% CI = [1.25, 1.86]). ConclusionsWe identified three clusters of smokers that differed on a broad range of characteristics and on intervention non-usage attrition patterns. This highlights the heterogeneity of participants in a web-based smoking cessation program. Also, it supports the idea that such interventions could be tailored to these subtypes to prevent non-usage attrition. The subtypes of smokers identified in this study need to be replicated in the field of e-health outside the context of RCT; based on the smoker subtypes identified in this study, we provided suggestions for developing tailored web-based smoking cessation intervention programs in future research.

Effectiveness of Message Frame-Tailoring in a Web-Based Smoking Cessation Program: Randomized Controlled Trial.

BackgroundThe content of online computer-tailored interventions is often determined to match an individual’s characteristics, beliefs, and behavioral factors. These content-tailored interventions lead to better message processing and a higher likelihood of behavior change such as smoking cessation. However, a meta-analysis of online computer-tailored interventions showed that effect sizes, albeit positive, remain small, suggesting room for improvement. A promising strategy to enhance the effectiveness of online computer-tailored interventions is to tailor the message frame (ie, how a message is communicated) based on the preferred communication style of the user in addition to content-tailoring. One factor that determines an individual’s communication style preference is the need for autonomy; some individuals prefer an autonomy-supportive communication style (offering choice and use of suggestive language), whereas others might prefer a directive communication style, which is replete with imperatives and does not provide choice. Tailoring how messages are presented (eg, based on the need for autonomy) is called message frame-tailoring.ObjectiveThe aim of the present study was to test the effectiveness of message frame-tailoring based on the need for autonomy, in isolation and in combination with content-tailoring, within the context of an online computer-tailored smoking cessation intervention. The primary outcome measure was the 7-day point-prevalence of smoking abstinence. Secondary outcomes were perceived message relevance, self-determined motivation to quit smoking, and sociocognitive beliefs.MethodsA randomized controlled trial with a 2 (message frame-tailoring vs no message frame-tailoring) by 2 (content-tailoring vs no content-tailoring) design was conducted among adult smokers intending to quit smoking (N=273).ResultsStructural equation modeling revealed that the content-tailored condition increased smoking abstinence rates 1 month after the start of the intervention (beta=.57, P=.02). However, neither message frame-tailoring nor its interaction with content-tailoring significantly predicted smoking abstinence. In our model, message frame-tailoring, content-tailoring, as well as their interaction significantly predicted perceived relevance of the smoking cessation messages, which consequently predicted self-determined motivation. In turn, self-determined motivation positively affected attitudes and self-efficacy for smoking cessation, but only self-efficacy consequently predicted smoking abstinence. Participants in the control condition perceived the highest level of message relevance (mean 4.78, SD 1.27). However, messages that were frame-tailored for individuals with a high need for autonomy in combination with content-tailored messages led to significantly higher levels of perceived message relevance (mean 4.83, SD 1.03) compared to those receiving content-tailored messages only (mean 4.24, SD 1.05, P=.003).ConclusionsMessage frame-tailoring based on the need for autonomy seems to be an effective addition to conventional content-tailoring techniques in online smoking cessation interventions for people with a high need for autonomy; however, this is not effective in its current form for people with a low need for autonomy.Trial RegistrationDutch Trial Register (NL6512/NRT-6700); https://www.trialregister.nl/trial/6512

Developing a Web-Based Smoking Cessation Program and Evaluating Its Effectiveness.

This study, which is based on the Stages of Change Model, aimed to develop a Web-based smoking cessation program and to evaluate its effectiveness. An interventional study with 1 group was conducted with college students from Afyon Kocatepe University. First, the Web-Based Smoking Cessation Program was set up (www.sbp.aku.edu.tr). The sample in this study was composed of the 433 students who were site members. The appropriate stages of the program were then sent to members' e-mail addresses at monthly intervals over a period of 6 months. Second, the effectiveness of the program was evaluated at the baseline, the third, and the sixth months of the study. The study was completed with 314 students. The data were evaluated using descriptive statistics, 1-way analysis of variance, and analysis of variance for repeated measures. There were significant developments in the self-efficacy, cognitive, and behavioral processes of students in the third and sixth months of the study. Students (2.5%) had quit smoking by the third month and 4.5% by the sixth month. These results reveal that the program was able to help students quit smoking, increase their self-efficacy, and develop the process of change regarding smoking cessation.

Geographic Representativeness of a Web-Based Smoking Cessation Intervention: Reach Equity Analysis.

BackgroundCigarette smoking is the leading cause of preventable death and disease in the United States. Smoking prevalence is higher in rural areas than in metropolitan areas, due partly to differences in access to cessation treatment. With internet use at 89% of all US adults, digital approaches could increase use of cessation treatment and reduce smoking.ObjectiveWe investigated the extent to which smokers from rural areas use a digital cessation resource. We compared the geographic distribution of registered users of a free Web-based smoking cessation program with the geographic distribution of US smokers.MethodsWe mapped user-provided ZIP codes to Rural-Urban Continuum Codes. A total of 59,050 of 118,574 users (49.80%) provided valid ZIP codes from 2013 to 2017. We used US National Survey of Drug Use and Health data from 2013 to 2017 to compare the geographic distribution of our sample of Web-based cessation users with the geographic distribution of US smokers. Reach ratios and 95% confidence intervals quantified the extent to which rural smokers’ representation in the sample was proportionate to their representation in the national smoking population. Reach ratios less than 1 indicate underrepresentation.ResultsSmokers from rural areas were significantly underrepresented in 2013 (reach ratio 0.89, 95% CI 0.87-0.91) and 2014 (reach ratio 0.89, 95% CI 0.86-0.92), proportionally represented in 2015 (reach ratio 1.08, 95% CI 1.02-1.14) and 2016 (reach ratio 1.03, 95% CI 0.94-1.14), and proportionally overrepresented in 2017 (reach ratio 1.16, 95% CI 1.12-1.21). Smokers from Large Metro areas were proportionally represented in 2013 and 2014 but underrepresented in 2015 (reach ratio 0.97, 95% CI 0.94-1.00), 2016 (reach ratio 0.89, 95% CI 0.85-0.94), and 2017 (reach ratio 0.89, 95% CI 0.86-0.91).ConclusionsResults suggest that smokers from rural areas are more than proportionally reached by a long-standing digital cessation intervention. The underrepresentation of smokers from Large Metro areas warrants further study.

Feasibility of biochemical verification in a web-based smoking cessation study

Background and aimsCogent arguments have been made against the need for biochemical verification in population-based studies with low-demand characteristics. Despite this fact, studies involving digital interventions (low-demand) are often required in peer review to report biochemically verified abstinence. To address this discrepancy, we examined the feasibility and costs of biochemical verification in a web-based study conducted with a national sample. MethodsParticipants were 600U.S. adult current smokers who registered on a web-based smoking cessation program and completed surveys at baseline and 3months. Saliva sampling kits were sent to participants who reported 7-day abstinence at 3months, and analyzed for cotinine. ResultsThe response rate at 3-months was 41.2% (n=247): 93 participants reported 7-day abstinence (38%) and were mailed a saliva kit (71% returned). The discordance rate was 36.4%. Participants with discordant responses were more likely to report 3-month use of nicotine replacement therapy or e-cigarettes than those with concordant responses (79.2% vs. 45.2%, p=0.007). The total cost of saliva sampling was $8280 ($125/sample). ConclusionsBiochemical verification was both time- and cost-intensive, and yielded a relatively small number of samples due to low response rates and use of other nicotine products during the follow-up period. There was a high rate of discordance of self-reported abstinence and saliva testing. Costs for data collection may be prohibitive for studies with large sample sizes or limited budgets. Our findings echo previous statements that biochemical verification is not necessary in population-based studies, and add evidence specific to technology-based studies.

Online community use predicts abstinence in combined Internet/phone intervention for smoking cessation.

To estimate the causal effects of online community use on 30-day point prevalence abstinence at 3 months among smokers that received a combined Internet/phone intervention for smoking cessation. Participants were 399 adult smokers selected from the combined Internet/phone arm of The iQUITT Study (Graham et al., 2011), a randomized trial of Internet and proactive telephone counseling for smoking cessation. All selected participants had accessed a web-based smoking-cessation program with an established online community and received at least one telephone counseling call. Automated tracking metrics of passive (e.g., reading posts, viewing profiles) and active (e.g., writing posts, sending messages) community use were extracted at 3 months. Self-selected community use defined the groups of interest as None, Passive, and Both (passive and active). Inverse probability of treatment weighting corrected for baseline imbalances on demographic, smoking, and psychosocial variables. Propensity weights estimated via generalized boosted models were used to calculate average treatment effects (ATE) and average treatment effects on the treated (ATT). Patterns of community use were None = 145 (36.3%), Passive = 82 (20.6%), and Both = 172 (43.1%). ATE-weighted abstinence rates were None = 12.2% (95% CI = 6.7-17.7), Passive = 25.2% (95% CI = 15.1-35.2), and Both = 35.5% (95% CI = 28.1-42.9). ATT-weighted abstinence rates indicated even greater benefits of passive community use by nonusers. More than 1/3 of the participants who used the community both passively and actively achieved abstinence. Participation in an established online community as part of a combined Internet/phone intervention has the potential to promote short-term abstinence. Results also demonstrated that information and support that originate in the community can serve as a resource for all users. (PsycINFO Database Record

Results of the PAS Study: A Randomized Controlled Trial Evaluating the Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program Combined With Tailored Counseling by Practice Nurses

ABSTRACTThis study investigated the effects of Web-based multiple computer tailoring and counseling by a practice nurse (MTC) compared with computer tailoring without counseling (MT) and usual care (UC) on smoking cessation rates, via a randomized controlled trial with 414 Dutch adult smokers, recruited by 91 practice nurses from May 2009 to June 2010. Logistic multilevel regression analyses were conducted with 24-hour point prevalence, 7-day point prevalence, and prolonged abstinence after 6 and 12 months as dependent variables and experimental condition as the independent variable. After 6 and 12 months, 38% and 56% of respondents were followed up, respectively. At both follow-ups, no main effects of the interventions could be identified when comparing them with care as usual and with each other—neither in analyses using available data nor in analyses using a negative scenario in which respondents lost to follow-up were considered to still be smoking. A Web-based multiple computer-tailored smoking cessation program combined with a single face-to-face counseling session by a practice nurse may not be more effective than this computer-tailored program alone or than usual smoking cessation care in the general practice setting. Yet before concluding that the addition of counseling to Web-based computer tailoring cannot be successful, more research needs to be conducted to identify the optimal number of counseling sessions to be combined with the Web-based program and to how to best attune the two modalities.

Use of an online smoking cessation community promotes abstinence: Results of propensity score weighting.

We estimated the causal effects of use of an online smoking cessation community on 30-day point prevalence abstinence at 3 months. Participants (N = 492) were adult current smokers in the enhanced Internet arm of The iQUITT Study, a randomized trial of Internet and telephone treatment for smoking cessation. All participants accessed a Web-based smoking-cessation program that included a large, established online community. Automated tracking metrics of passive (e.g., reading forum posts, viewing member profiles) and active (e.g., writing forum posts, sending private messages) community use were extracted from the site at 3 months. Self-selected community use defines the groups of interest: "None," "Passive," and "Both" (passive + active). Inverse probability of treatment weighting corrected for baseline imbalances on demographic, smoking, psychosocial, and medical history variables. Propensity weights estimated via generalized boosted models were used to calculate Average Treatment Effects (ATE) and Average Treatment effects on the Treated (ATT). Patterns of community use were: None = 198 (40.2%), Passive = 110 (22.4%), and Both = 184 (37.4%). ATE-weighted abstinence rates were: None = 4.2% (95% CI = 1.5-6.9); Passive = 15.1% (95% CI = 8.4-21.9); Both = 20.4% (95% CI = 13.9-26.8). ATT-weighted abstinence rates indicated even greater benefits of community use. Community users were more likely to quit smoking at 3 months than nonusers. The estimated benefit from use of online community resources was even larger among subjects with high propensity to use them. No differences in abstinence emerged between passive and passive/active users. Results suggest that lurking in online communities confers specific abstinence benefits. Implications of these findings for online cessation communities are discussed.

Effects of a guided web-based smoking cessation program with telephone counseling: a cluster randomized controlled trial.

BackgroundPreliminary findings suggest that Web-based interventions may be effective in achieving significant smoking cessation. To date, very few findings are available for primary care patients, and especially for the involvement of general practitioners.ObjectiveOur goal was to examine the short-term effectiveness of a fully automated Web-based coaching program in combination with accompanied telephone counseling in smoking cessation in a primary care setting.MethodsThe study was an unblinded cluster-randomized trial with an observation period of 12 weeks. Individuals recruited by general practitioners randomized to the intervention group participated in a Web-based coaching program based on education, motivation, exercise guidance, daily short message service (SMS) reminding, weekly feedback through Internet, and active monitoring by general practitioners. All components of the program are fully automated. Participants in the control group received usual care and advice from their practitioner without the Web-based coaching program. The main outcome was the biochemically confirmed smoking status after 12 weeks.ResultsWe recruited 168 participants (86 intervention group, 82 control group) into the study. For 51 participants from the intervention group and 70 participants from the control group, follow-up data were available both at baseline and 12 weeks. Very few patients (9.8%, 5/51) from the intervention group and from the control group (8.6%, 6/70) successfully managed smoking cessation (OR 0.86, 95% CI 0.25-3.0; P=.816). Similar results were found within the intent-to-treat analysis: 5.8% (5/86) of the intervention group and 7.3% (6/82) of the control group (OR 1.28, 95% CI 0.38-4.36; P=.694). The number of smoked cigarettes per day decreased on average by 9.3 in the intervention group and by 6.6 in the control group (2.7 mean difference; 95% CI -5.33 to -0.58; P=.045). After adjustment for the baseline value, age, gender, and height, this significance decreases (mean difference 2.2; 95% CI -4.7 to 0.3; P=.080).ConclusionsThis trial did not show that the tested Web-based intervention was effective for achieving smoking cessation compared to usual care. The limited statistical power and the high drop-out rate may have reduced the study’s ability to detect significant differences between the groups. Further randomized controlled trials are needed in larger populations and to investigate the long-term outcome.Trial RegistrationGerman Register for Clinical Trials, registration number DRKS00003067; http://drks-neu.uniklinik-freiburg.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ ID=DRKS00003067 (Archived by WebCite at http://www.webcitation.org/6Sff1YZpx).

Usage and effectiveness of a fully automated, open-access, Spanish Web-based smoking cessation program: randomized controlled trial.

BackgroundThe Internet is an optimal setting to provide massive access to tobacco treatments. To evaluate open-access Web-based smoking cessation programs in a real-world setting, adherence and retention data should be taken into account as much as abstinence rate.ObjectiveThe objective was to analyze the usage and effectiveness of a fully automated, open-access, Web-based smoking cessation program by comparing interactive versus noninteractive versions.MethodsParticipants were randomly assigned either to the interactive or noninteractive version of the program, both with identical content divided into 4 interdependent modules. At baseline, we collected demographic, psychological, and smoking characteristics of the smokers self-enrolled in the Web-based program of Universidad Nacional de Educación a Distancia (National Distance Education University; UNED) in Madrid, Spain. The following questionnaires were administered: the anxiety and depression subscales from the Symptom Checklist-90-Revised, the 4-item Perceived Stress Scale, and the Heaviness of Smoking Index. At 3 months, we analyzed dropout rates, module completion, user satisfaction, follow-up response rate, and self-assessed smoking abstinence.ResultsA total of 23,213 smokers were registered, 50.06% (11,620/23,213) women and 49.94% (11,593/23,213) men, with a mean age of 39.5 years (SD 10.3). Of these, 46.10% (10,701/23,213) were married and 34.43% (7992/23,213) were single, 46.03% (10,686/23,213) had university education, and 78.73% (18,275/23,213) were employed. Participants smoked an average of 19.4 cigarettes per day (SD 10.3). Of the 11,861 smokers randomly assigned to the interactive version, 2720 (22.93%) completed the first module, 1052 (8.87%) the second, 624 (5.26%) the third, and 355 (2.99%) the fourth. Completion data was not available for the noninteractive version (no way to record it automatically). The 3-month follow-up questionnaire was completed by 1085 of 23,213 enrolled smokers (4.67%). Among them, 406 (37.42%) self-reported not smoking. No difference between groups was found. Assuming missing respondents continued to smoke, the abstinence rate was 1.74% (406/23,213), in which 22,678 were missing respondents. Among follow-up respondents, completing the 4 modules of the intervention increased the chances of smoking cessation (OR 1.95, 95% CI 1.27-2.97, P<.001), as did smoking 30 minutes (OR 1.58, 95% CI 1.04-2.39, P=.003) or 1 hour after waking (OR 1.93, 95% CI 1.27-2.93, P<.001) compared to smoking within the first 5 minutes after waking.ConclusionsThe findings suggest that the UNED Web-based smoking cessation program was very accessible, but a high level of attrition was confirmed. This could be related to the ease of enrollment, its free character, and the absence of direct contact with professionals. It is concluded that, in practice, the greater the accessibility to the program, the lower the adherence and retention. Professional support from health services and the payment of a reimbursable fee could prevent high rates of attrition.

How to encourage smokers to participate in web-based computer-tailored smoking cessation programs: a comparison of different recruitment strategies

The reach, retention and costs of four strategies aimed to recruit smokers for participation in a computer-tailored smoking cessation intervention was explored. The study was part of a randomized controlled trial whereby 832 respondents were randomized to three conditions. Smokers were invited by general practitioners (GPs), newspapers, Internet and other strategies (i.e. mailing organizations) to take part. ANOVA's/Chi-square tests explored sample differences. Logistic regression analyses investigated differences between the samples regarding retention and smoking behaviour. Smokers recruited via GPs (N = 144) had a lower educational level and suffered more from chronic obstructive pulmonary disease compared with respondents recruited via Internet (N = 307) (χ(2) = 11.554, df = 3, P = 0.009). Less motivated respondents recruited by GPs were more likely to return to study compared with the less motivated respondents recruited by 'other recruitment' strategies (χ(2) = 6.416, df = 3, P = 0.093). Highly addicted respondents recruited from newspapers (N = 213) were less likely to make a quit attempt compared with highly addicted respondents recruited by GPs (OR = 0.334, P = 0.035). Females from newspapers were less likely to remain abstinent compared with the GP sample (OR = 0.337, P = 0.005). Recruitment via GPs showed highest costs. Recruitment strategy influenced the type of smokers. Group differences were associated with different patterns of quitting.

Web-based smoking cessation intervention that transitions from inpatient to outpatient: study protocol for a randomized controlled trial.

BackgroundE-health tools are a new mechanism to expand patient care, allowing supplemental resources to usual care, including enhanced patient-provider communication. These applications to smoking cessation have yet to be tested in a hospitalized patient sample. This project aims to evaluate the effectiveness and cost-effectiveness of a tailored web-based and e-message smoking cessation program for current smokers that, upon hospital discharge, transitions the patient to continue a quit attempt when home (Decide2Quit).DesignA randomized two-arm follow-up design will test the effectiveness of an evidence- and theoretically-based smoking cessation program designed for post-hospitalization.MethodsA total of 1,488 patients aged 19 or older, who smoked cigarettes in the previous 30 days, are being recruited from 27 patient care areas of a large urban university hospital. Study-eligible hospitalized patients receiving usual tobacco cessation usual care are offered study referral. Trained hospital staff assist the 744 patients who are being randomized to the intervention arm with registration and orientation to the intervention website. This e-mail and web-based program offers tailored messages as well as education, self-assessment and planning aids, and social support to promote tobacco use cessation. Condition-blind study staff assess participants for tobacco use history and behaviors, tobacco use cost-related information, co-morbidities and psychosocial factors at 0, 3, 6, and 12 months. The primary outcome is self-reported 30-day tobacco abstinence at 6 months follow-up. Secondary outcomes include 7-day point prevalence quit rates at 3-, 6-, and 12-month follow-up, 30-day point prevalence quit rates at 3 and 12 months, biologically confirmed tobacco abstinence at 6-month follow-up, and multiple point-prevalence quit rates based on self-reported tobacco abstinence rates at each follow-up time period. Healthcare utilization and quality of life are assessed at baseline, and 6- and 12-month follow-up to measure program cost-effectiveness from the hospital, healthcare payer, patient, and societal perspectives.DiscussionGiven the impact of tobacco use on medical resources, establishing feasible, cost-effective methods for reducing tobacco use is imperative. Given the minimal hospital staff burden and the automated transition to a post-hospitalization tailored intervention, this program could be an easily disseminated approach.Trial registrationCurrent Intervention Trial NCT01277250

Online intervention engagement predicts smoking cessation

Objective. Instead of focusing on individual differences as predictors of quitting (“who they are”), this study focuses on actions (“what they do”). The purpose is to predict smoking abstinence in internet users who may become involved in social activities within the virtual community.Methods. From March, 2009, to July, 2011, users of a web-based smoking cessation program in Germany made data available for a post-hoc evaluation study (n=13,174), including abstinence rates and online activities such as a) posting on a bulletin board after a smoke-free day, b) offering a donation, and c) posting messages throughout their course.Results. Survival analyses for 70days of self-reported non-smoking documented higher success rates for those who made use of one or more of the virtual community activities. Moreover, the effect of making an initial bulletin board entry on 10-week abstinence was mediated by offering a donation and posting messages throughout the course (R2=0.125). The indirect effect via donation was 0.10 (95% CI 0.06–0.14), and the indirect effect via message posting was 0.31 (95% CI 0.25–0.38).Conclusions. Virtual community activities predict smoking cessation. Shifting the focus from personality characteristics toward behavioral process variables such as intervention engagement might add more substance to smoking cessation studies.

Abstract ED05-02: Building a tobacco-free world: Engaging youth and young adults

Abstract A recent study by Christakis and Fowler (2008) found that when one or two people in a social network stop smoking, others in that network also tend to stop as well—highlighting both the importance of social networks and the potential to virally spread behavior change. Dr. Donna Vallone will discuss research related to prompting online social engagement and participation in the EX community, a component of the web-based smoking cessation program, www.becomeanex.org. Evidence suggests that these online social networks can provide social support to online smokers interested in quitting—a critical component of cessation treatment outlined in the US Clinical Guidelines for Smoking Cessation. Social media applications of EX on Facebook, Twitter and other channels will also be discussed. Citation Information: Cancer Prev Res 2011;4(10 Suppl):ED05-02.

A Systematic Review of Randomized Controlled Trials: Web-Based Interventions for Smoking Cessation Among Adolescents, College Students, and Adults

Web-based treatments can deliver broad reaching, relatively inexpensive, and clinically tested methods for smoking cessation. We performed a systematic review of randomized controlled trials (RCTs) of smoking cessation to evaluate the efficacy of Web-based interventions in adults, college students, and adolescents. MEDLINE, EMBASE, The Cochrane Library, CINAHL, and PsycINFO were searched from January 1, 1990 through February 12, 2010 for RCTs examining the efficacy of Web-based smoking cessation programs. Paired reviewers abstracted data on study design, patient characteristics, and outcomes sequentially and did quality assessments independently. Twenty-one RCTs met eligibility criteria, with 15 conducted among adults. Among adults, 2 RCTs found that a multicomponent intervention with Web and non-Web-based elements was more efficacious than a self-help manual, and one of 2 RCTs found that Web-based interventions may be more effective than no treatment. Three trials provided insufficient evidence to demonstrate whether Web-based interventions were more efficacious than counseling. By contrast, tailored Web sites in 2 RCTs and greater Web site exposure in 6 of 7 RCTs were associated with higher rates of abstinence. Among college students, evidence supporting use of Web-based interventions was insufficient because the one RCT conducted was also a multicomponent intervention. Five RCTs among adolescents demonstrated mixed results, with insufficient evidence supporting their efficacy. Evidence supporting the use of Web-based interventions for smoking cessation is insufficient to moderate in adults and insufficient in college students and adolescents. These RCTs have, however, elucidated clinical, methodological, and statistical practices that are likely to improve future trial design and treatment delivery.

Use of Non-Assigned Smoking Cessation Programs Among Participants of a Web-Based Randomized Controlled Trial

Background Concurrent with their enrollment in Web-based Randomized Controlled Trials (RCTs), participants can easily choose to use treatment programs that are not assigned in the study. The prevalence of using non-assigned treatments is largely unknown although it is likely to be related to the extent to which non-assigned treatments are: (a) easy to find and use, (b) low in cost, (c) well publicized, and (d) available from trusted sources. The impact of using other programs—both beneficial and detrimental—warrants additional research investigation.Objective The aim of this report is to explore the extent to which participants enrolled in a Web-based intervention for smoking cessation used treatment methods that were not explicitly assigned (“non-assigned treatment”). In addition to describing the relation between using non-assigned treatments and smoking cessation outcomes, we also explore the broader issue of non-assigned program use by RCT participants in Web-based behavioral interventions, generally.Methods We describe the use of other programs (as measured by self-report at the 3-month follow-up assessment) by 1028 participants who were randomized to the Web-based SHIP (Smokers’ Health Improvement Program) RCT which compared the Quit Smoking Network (QSN) treatment program and the Active Lives control condition. We examine the extent to which pharmacotherapy products were used by participants in the QSN condition (which explicitly recommended their use) and the Active Lives condition (which purposefully omitted mention of the use of pharmacotherapy). We also test for any between-condition impact of using non-assigned treatments and pharmacotherapy products on smoking cessation outcomes.Results A total of 24.1% (248/1028) participants reported using one or more smoking cessation treatment programs that were not explicitly recommended or assigned in their treatment protocol. Types of non-assigned treatments used in this manner included individual counseling (1.7%), group counseling (2.3%), hypnotherapy/acupuncture (4.5%), pamphlets/books (12.6%), and other Web-based smoking cessation programs (9.0%). Participants who used non-assigned treatments were more likely to be female and have at least a high school education. Use of non-assigned Web programs was related to greater levels of self-reported smoking cessation measured at the 3-month assessment (OR = 2.63, CI = 1.67 - 4.14, P < .001) as well as the combined 3- and 6-month assessments (OR = 2.09, CI = 1.11 - 3.91, P = .022). In terms of reported medication use, there were no differences between conditions in the number of pharmacotherapy products used. However, more participants in the QSN condition used at least one pharmacotherapy product: 50.0% (262/524) vs 43.8% (221/504); χ2 (1, N = 1028) = 3.90, P = .048. The use of pharmacotherapy and non-assigned treatment types showed a small but marginally significant correlation: r 1028 = .061, P = .05.Conclusions A noteworthy proportion of individuals recruited via the Internet to participate in a Web-based intervention used treatment programs and tools not formally assigned as a part of their research protocol. We consider factors likely to influence using non-assigned treatments and suggest ways that future research can begin to study more fully this important phenomenon which is likely to be found in any type of research, but may be particularly pronounced in minimal contact, Web-based intervention trials.

Neural responses to elements of a web-based smoking cessation program.

An increasing number of smokers are obtaining information from the web to help them quit smoking. In this study, we examined how smokers process different types of messages similar to those from a web-based smoking cessation program: personalization/feedback ("Jane, you are a 23-year old female smoker"), motivational ("If you quit smoking, you could save $1200 a year"), and instructional ("When you feel angry, talk to someone instead of smoking") messages. Using functional magnetic resonance imaging, smokers were exposed to the messages. On a later session, participants completed an online tailored smoking cessation program and started on a 10-week course of nicotine patch. Results show that participants indeed process the messages differently, activating brain regions associated with self-related processing (personalization/feedback), anticipated reward processing (motivational messages) and rules processing (instructional messages). This research is relevant for advancing web-based tailored interventions for substance use.

Neural Responses to Elements of Web-based Smoking Cessation Program

Neural Responses to Elements of Web-based Smoking Cessation Program