Computer-tailored Smoking Cessation Intervention Research Articles

An economic evaluation of an online computer-tailored smoking cessation intervention that includes message frame-tailoring: A randomized controlled trial

Evidence of economic evaluations of behaviour change interventions is scarce, but needed to guide policy makers' decision-making. This study economically evaluated 4 versions of an innovative online computer-tailored smoking cessation intervention. The economic evaluation from a societal perspective was embedded in a randomized controlled trial among 532 smokers using a 2 (message frame-tailoring, i.e. how messages are presented: autonomy-supportive vs controlling) x 2 (content-tailoring, i.e. what content is presented: tailored vs. generic) design. Both kinds of tailoring, content-tailoring and message frame-tailoring, were based on a set of questions asked at baseline. Self-reported costs, prolonged smoking abstinence (cost-effectiveness) and quality of life (cost-utility) were assessed during a 6-month-follow-up. For cost-effectiveness analysis, costs per abstinent smoker were calculated. For cost-utility analysis, costs per QALY (i.e. quality-adjusted life year) gained were calculated. A willingness-to-pay (WTP) threshold of €20.000 was used. Bootstrapping and sensitivity analysis were conducted. Cost-effectiveness analysis showed that up to a WTP of €2.000, the combination of message frame- and content-tailoring dominated all study groups. From a WTP of €2.005, the content-tailored group dominated all study groups. Cost-utility analysis revealed that the combination of message frame-tailoring and content-tailoring had the highest probability of being the most efficient study group at all levels of the WTP. The combination of message frame-tailoring and content-tailoring in online smoking cessation programmes seemed to have high potential for cost-effectiveness (smoking abstinence) and cost-utility (quality of life), thus providing good value for money. Yet, when the WTP for each abstinent smoker is high (i.e., €2.005 or higher), the addition of message frame-tailoring might not be worth the effort and content-tailoring only is preferred.

Influence of Animation- Versus Text-Based Delivery of a Web-Based Computer-Tailored Smoking Cessation Intervention on User Perceptions

Computer-tailored (CT) digital health interventions have shown to be effective in obtaining behaviour change. Yet, user perceptions of these interventions are often unsatisfactory. Traditional CT interventions rely mostly on text-based feedback messages. A way of presenting feedback messages in a more engaging manner may be the use of narrated animations instead of text. The goal of this study was to assess the effect of manipulating the mode of delivery (animation vs. text) in a smoking cessation intervention on user perceptions among smokers and non-smokers. Smokers and non-smokers (N = 181) were randomized into either the animation or text condition. Participants in the animation condition assessed the intervention as more effective (ηp2 = .035), more trustworthy (ηp2 = .048), more enjoyable (ηp2 = .022), more aesthetic (ηp2 = .233), and more engaging (ηp2 = .043) compared to participants in the text condition. Participants that received animations compared to text messages also reported to actively trust the intervention more (ηp2 = .039) and graded the intervention better (ηp2 = .056). These findings suggest that animation-based interventions are superior to text-based interventions with respect to user perceptions.

A smoker’s choice? Identifying the most autonomy-supportive message frame in an online computer-tailored smoking cessation intervention

Objective To test the effect of autonomy-supportive message framing on people’s perceived autonomy-support while considering the individual need for autonomy as a moderator. Also, to test whether autonomy-supportive message frames – through increased perceived autonomy-support - lead to more self-determined motivation, and increased intention to quit smoking. Design An online 2(autonomy-supportive; controlling language) × 2(choice; no choice) between-subjects design with control condition (generic advice) with adult smokers intending to quit (N = 626). Main outcome Intention to quit smoking (Theory of Planned Behaviour). Measures Perceived autonomy-support (Virtual Climate Care Questionnaire), need for autonomy (Health Causality Orientations Scale), self-determined motivation (Treatment Self-Regulation Questionnaire), attitudes, social influence, self-efficacy (I-Change Model). Results Structural equation modelling revealed no significant effect of autonomy-supportive-message frames on perceived autonomy-support or self-determined motivation, neither did the need for autonomy moderate these effects. Self-determined motivation had a positive, significant effect on intention to quit, mediated by attitudes, social influence, and self-efficacy. Conclusion Although message frames did not affect perceived autonomy-support or self-determined motivation, higher self-determined motivation increased intention to quit via attitudes, social influence, and self-efficacy. Before drawing the conclusion that message framing has no effect, we recommend to replicate this study in a real-life setting with smokers more likely to read and process the message frames more attentively.

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

Is Action Planning Helpful for Smoking Cessation? Assessing the Effects of Action Planning in a Web-Based Computer-Tailored Intervention

Background and objectives: The aim of this study was to examine the efficacy of a web-assisted computer-tailored smoking cessation intervention, an action planning (AP) intervention in which potential quitters were encouraged to form action plans (e.g., plan a quit date) and execute them (e.g., remove ashtrays). We also investigated whether the AP intervention resulted in more AP and plan execution than a similar, control intervention without the supplementary AP component. Methods: In a randomized controlled trial, the AP intervention (N = 977) was compared with the control intervention (N = 1,005) in terms of self-reported continued abstinence (CA) and point prevalence abstinence (PPA) six months after baseline. AP, plan execution, and opinion of the intervention were measured one month after baseline. Results: Complete-case logistic regression analysis showed that the AP intervention had a significant effect on CA (OR = 2.01; CI 1.08–3.84, p = .02), whereas intention-to-treat analysis showed a borderline significant effect (OR = 1.68; CI .96–2.92, p = .07). Sixteen percent of the experimental group achieved CA compared to 10% of the control group. The AP intervention had no effect on PPA. The experimental group also showed significantly more AP and plan execution at one month. Execution of plans was associated with smoking cessation. Conclusions: The effects of the AP intervention on CA, AP, and execution of plans were encouraging. The potential for widespread use of web-based interventions means that even small behavioral effects may have an impact on public health. We recommend that the intervention be intensified and improved.

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.

Influence of delivery strategy on message-processing mechanisms and future adherence to a Dutch computer-tailored smoking cessation intervention.

BackgroundSmoking tobacco is one of the most preventable causes of illness and death. Web-based tailored smoking cessation interventions have shown to be effective. Although these interventions have the potential to reach a large number of smokers, they often face high attrition rates, especially among lower educated smokers. A possible reason for the high attrition rates in the latter group is that computer-tailored smoking cessation interventions may not be attractive enough as they are mainly text-based. Video-based messages might be more effective in attracting attention and stimulating comprehension in people with a lower educational level and could therefore reduce attrition rates.ObjectiveThe objective of the present study was to investigate whether differences exist in message-processing mechanisms (attention, comprehension, self-reference, appreciation, processing) and future adherence (intention to visit/use the website again, recommend the website to others), according to delivery strategy (video or text based messages) and educational level, to a Dutch computer-tailored smoking cessation program.MethodsSmokers who were motivated to quit within the following 6 months and who were aged over 16 were included in the program. Participants were randomly assigned to one of two conditions (video/text CT). The sample was stratified into 2 categories: lower and higher educated participants. In total, 139 participants completed the first session of the web-based tailored intervention and were subsequently asked to fill out a questionnaire assessing message-processing mechanisms and future adherence. ANOVAs and regression analyses were conducted to investigate the differences in message-processing mechanisms and future adherence with regard to delivery strategy and education.ResultsNo interaction effects were found between delivery strategy (video vs text) and educational level on message-processing mechanisms and future adherence. Delivery strategy had no effect on future adherence and processing mechanisms. However, in both groups results indicated that lower educated participants showed higher attention (F 1,138=3.97; P=.05) and processing levels (F 1,138=4.58; P=.04). Results revealed also that lower educated participants were more inclined to visit the computer-tailored intervention website again (F 1,138=4.43; P=.04).ConclusionsComputer-tailored programs have the potential to positively influence lower educated groups as they might be more involved in the computer-tailored intervention than higher educated smokers. Longitudinal studies with a larger sample are needed to gain more insight into the role of delivery strategy in tailored information and to investigate whether the intention to visit the intervention website again results in the ultimate goal of behavior change.Trial RegistrationNetherlands Trial Register (NTR3102).

Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program: A Randomized Controlled Trial Among Dutch Adult Smokers

BackgroundDistributing a multiple computer-tailored smoking cessation intervention through the Internet has several advantages for both provider and receiver. Most important, a large audience of smokers can be reached while a highly individualized and personal form of feedback can be maintained. However, such a smoking cessation program has yet to be developed and implemented in the Netherlands.ObjectiveTo investigate the effects of a Web-based multiple computer-tailored smoking cessation program on smoking cessation outcomes in a sample of Dutch adult smokers.MethodsSmokers were recruited from December 2009 to June 2010 by advertising our study in the mass media and on the Internet. Those interested and motivated to quit smoking within 6 months (N = 1123) were randomly assigned to either the experimental (n = 552) or control group (n = 571). Respondents in the experimental group received the fully automated Web-based smoking cessation program, while respondents in the control group received no intervention. After 6 weeks and after 6 months, we assessed the effect of the intervention on self-reported 24-hour point prevalence abstinence, 7-day point prevalence abstinence, and prolonged abstinence using logistic regression analyses.ResultsOf the 1123 respondents, 449 (40.0%) completed the 6-week follow-up questionnaire and 291 (25.9%) completed the 6-month follow-up questionnaire. We used a negative scenario to replace missing values. That is, we considered respondents lost to follow-up to still be smoking. The computer-tailored program appeared to have significantly increased 24-hour point prevalence abstinence (odds ratio [OR] 1.85, 95% confidence interval [CI] 1.30–2.65), 7-day point prevalence abstinence (OR 2.17, 95% CI 1.44–3.27), and prolonged abstinence (OR 1.99, 95% CI 1.28–3.09) rates reported after 6 weeks. After 6 months, however, no intervention effects could be identified. Results from complete-case analyses were similar.ConclusionsThe results presented suggest that the Web-based computer-tailored smoking cessation program had a significant effect on abstinence reported after a 6-week period. At the 6-month follow-up, however, no intervention effects could be identified. This might be explained by the replacement of missing values on the primary outcome measures due to attrition using a negative scenario. While results were similar when using a less conservative scenario (ie, complete-case analyses), the results should still be interpreted with caution. Further research should aim at identifying strategies that will prevent high attrition in the first place and, subsequently, to identify the best strategies for dealing with missing data when studies have high attrition rates.Trial RegistrationDutch Trial Register NTR1351; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1351 (Archived by WebCite at http://www.webcitation.org/67egSTWrz)

The effectiveness of a computer-tailored smoking cessation intervention for participants in lung cancer screening: A randomised controlled trial

BackgroundLung cancer screening might be a teachable moment for smoking cessation intervention. The objective was to investigate whether a tailored self-help smoking cessation intervention is more effective in inducing smoking cessation compared to a standard brochure in male smokers who participate in the Dutch-Belgian randomised controlled lung cancer screening trial (NELSON trial). MethodsTwo random samples of male smokers who had received either a standard brochure (n=642) or a tailoring questionnaire for computer-tailored smoking cessation information (n=642) were sent a questionnaire to measure smoking behaviour two years after randomisation. ResultsTwenty-three percent of the male smokers in the tailored information group returned a completed tailoring questionnaire and thus received the tailored advice. The prolonged smoking abstinence was slightly, but not statistically significant, lower amongst those randomised in the tailored information group (12.5%) compared with the brochure group (15.6%) (OR=0.77 (95%-CI: 0.56–1.06). The level of education and intention to quit smoking significantly predicted smoking cessation at follow-up (p<0.05). The majority of the respondents did not recall whether and which smoking cessation intervention they had received at randomisation after 2-years of follow-up. ConclusionThe current study showed no advantage of tailored smoking cessation information over standard self-help information amongst male smokers with a long term smoking history who participate in a lung cancer screening trial after two years of follow-up. However, the low percentage participants who actually received the tailored advice limited the ability to find an advantage.

Efficacy of a single computer-tailored e-mail for smoking cessation: results after 6 months

To date, few Internet-delivered smoking cessation interventions have been tested. This study tested the efficacy, understandability, credibility and personal relevance of an e-mail-delivered computer-tailored smoking cessation intervention. It included tailored action plan feedback, as recent studies have demonstrated the importance of planning in facilitating quitting smoking. Participants (Dutch adults) were randomly assigned to the intervention (computer-tailored e-mail; N = 224) or the control group (generic, non-tailored e-mail; N = 234). The results 6 months after baseline (N = 195) showed that significantly more participants in the intervention group reported not having smoked in the last 24 hours (21.5%) and 7 days (20.4%) in contrast with participants in the control group (9.8 and 7.8%, respectively). Intention-to-treat analyses revealed similar results, though overall lower quitting percentages. Furthermore, participants in the intervention group appreciated the computer-tailored e-mail significantly more in terms of understandability, credibility and personal relevance. Hence, the computer-tailored intervention is effective for the Dutch smoking population motivated to quit smoking. Further research is needed into the efficacy of the intervention for smokers who are not motivated to quit smoking and into the benefits of (multiple) e-mail-delivered tailored letters with tailored action plan feedback over and above tailoring without action plan feedback.

Computer-tailored smoking cessation intervention in a general population setting in Germany: Outcome of a randomized controlled trial

This study reports the outcome of a randomized controlled trial testing a computer-tailored smoking cessation intervention based on the transtheoretical model in a general population setting in Germany. Participants of the smoking intervention study were recruited from an existing general population health examination survey in a university hospital. The sample consisted of 611 current and former smokers at baseline, and of 485 participants in the core group of baseline daily cigarette smokers. Follow-ups were conducted 6, 12, 18, and 24 months after baseline. The intervention was designed for both current and former smokers, involved up to three individualized feedback letters, and was created using expert-system technology. Based on 7-day point-prevalence abstinence and 6-month prolonged abstinence as the outcome measures, the study identified no significant differences between the intervention and control groups. Modeling the full longitudinal data in generalized estimation equation analyses, using different nonresponse procedures, and adjusting for covariates did not alter the results. We conclude that the computer-tailored transtheoretical model-based smoking cessation intervention, as delivered in this study and in this special setting, was ineffective.