Internet-based interventions for smoking cessation

Web-based acceptance and commitment therapy smoking cessation treatment for smokers with depressive symptoms

OBJECTIVE

Smokers with depressive symptoms have more difficulty quitting smoking than the general population of smokers. The present study examines a web-based treatment using acceptance and commitment therapy (ACT) for smokers with depressive symptoms. The study aimed to determine participant receptivity to the intervention and its effects on smoking cessation, acceptance of internal cues, and depressive symptoms.

METHODS

Smokers who had positive screening results for depressive symptoms at baseline (n = 94) were selected from a randomized controlled trial (N = 222) comparing web-based ACT for smoking cessation (WebQuit.org) with Smokefree.gov. Forty-five participants (48%) completed the three-month follow-up.

RESULTS

Compared to Smokefree.gov, WebQuit participants spent significantly more time on site (p =.001) and had higher acceptance of physical cravings (p =.033). While not significant, WebQuit participants were more engaged and satisfied with their program and were more accepting of internal cues overall. There was preliminary evidence that WebQuit participants had higher quit rates (20% versus 12%) and lower depressive symptoms at follow-up (45% versus 56%) than those in Smokefree.gov.

CONCLUSIONS

This was the first study of web-based ACT for smoking cessation among smokers with depressive symptoms, with promising evidence of receptivity, efficacy, impact on a theory-based change process, and possible secondary effects on depression. A fully powered trial of the ACT WebQuit.org intervention specifically for depressed smokers is needed. This was part of a clinical trial registered as NCT#01166334 at www.clinicaltrials.gov .

The impact of a state-sponsored mass media campaign on use of telephone quitline and web-based cessation services

INTRODUCTION

Most US smokers do not use evidence-based interventions as part of their quit attempts. Quitlines and Web-based treatments may contribute to reductions in population-level tobacco use if successfully promoted. Currently, few states implement sustained media campaigns to promote services and increase adult smoking cessation. This study examines the effects of Florida's tobacco cessation media campaign and a nationally funded media campaign on telephone quitline and Web-based registrations for cessation services from November 2010 through September 2013.

METHODS

We conducted multivariable analyses of weekly media-market-level target rating points (TRPs) and weekly registrations for cessation services through the Florida Quitline (1-877-U-CAN-NOW) or its Web-based cessation service, Web Coach (www.quitnow.net/florida).

RESULTS

During 35 months, 141,221 tobacco users registered for cessation services through the Florida Quitline, and 53,513 registered through Web Coach. An increase in 100 weekly TRPs was associated with an increase of 7 weekly Florida Quitline registrants (β = 6.8, P < .001) and 2 Web Coach registrants (β = 1.7, P = .003) in an average media market. An increase in TRPs affected registrants from multiple demographic subgroups similarly. When state and national media campaigns aired simultaneously, approximately one-fifth of Florida's Quitline registrants came from the nationally advertised portal (1-800-QUIT-NOW).

CONCLUSION

Sustained, state-sponsored media can increase the number of registrants to telephone quitlines and Web-based cessation services. Federally funded media campaigns can further increase the reach of state-sponsored cessation services.

An economic evaluation of a video- and text-based computer-tailored intervention for smoking cessation: a cost-effectiveness and cost-utility analysis of a randomized controlled trial

Background

Although evidence exists for the effectiveness of web-based smoking cessation interventions, information about the cost-effectiveness of these interventions is limited.

Objective

The study investigated the cost-effectiveness and cost-utility of two web-based computer-tailored (CT) smoking cessation interventions (video- vs. text-based CT) compared to a control condition that received general text-based advice.

Methods

In a randomized controlled trial, respondents were allocated to the video-based condition (N = 670), the text-based condition (N = 708) or the control condition (N = 721). Societal costs, smoking status, and quality-adjusted life years (QALYs; EQ-5D-3L) were assessed at baseline, six-and twelve-month follow-up. The incremental costs per abstinent respondent and per QALYs gained were calculated. To account for uncertainty, bootstrapping techniques and sensitivity analyses were carried out.

Results

No significant differences were found in the three conditions regarding demographics, baseline values of outcomes and societal costs over the three months prior to baseline. Analyses using prolonged abstinence as outcome measure indicated that from a willingness to pay of €1,500, the video-based intervention was likely to be the most cost-effective treatment, whereas from a willingness to pay of €50,400, the text-based intervention was likely to be the most cost-effective. With regard to cost-utilities, when quality of life was used as outcome measure, the control condition had the highest probability of being the most preferable treatment. Sensitivity analyses yielded comparable results.

Conclusion

The video-based CT smoking cessation intervention was the most cost-effective treatment for smoking abstinence after twelve months, varying the willingness to pay per abstinent respondent from €0 up to €80,000. With regard to cost-utility, the control condition seemed to be the most preferable treatment. Probably, more time will be required to assess changes in quality of life. Future studies with longer follow-up periods are needed to investigate whether cost-utility results regarding quality of life may change in the long run.

Trial Registration

Nederlands Trial Register NTR3102

Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy

BACKGROUND

There is a dual need for (1) innovative theory-based smartphone applications for smoking cessation and (2) controlled trials to evaluate their efficacy. Accordingly, this study tested the feasibility, acceptability, preliminary efficacy, and mechanism of behavioral change of an innovative smartphone-delivered acceptance and commitment therapy (ACT) application for smoking cessation vs. an application following US Clinical Practice Guidelines.

METHOD

Adult participants were recruited nationally into the double-blind randomized controlled pilot trial (n=196) that compared smartphone-delivered ACT for smoking cessation application (SmartQuit) with the National Cancer Institute's application for smoking cessation (QuitGuide).

RESULTS

We recruited 196 participants in two months. SmartQuit participants opened their application an average of 37.2 times, as compared to 15.2 times for QuitGuide participants (p<0001). The overall quit rates were 13% in SmartQuit vs. 8% in QuitGuide (OR=2.7; 95% CI=0.8-10.3). Consistent with ACT's theory of change, among those scoring low (below the median) on acceptance of cravings at baseline (n=88), the quit rates were 15% in SmartQuit vs. 8% in QuitGuide (OR=2.9; 95% CI=0.6-20.7).

CONCLUSIONS

ACT is feasible to deliver by smartphone application and shows higher engagement and promising quit rates compared to an application that follows US Clinical Practice Guidelines. As results were limited by the pilot design (e.g., small sample), a full-scale efficacy trial is now needed.

Effectiveness of Coping Strategies at Alleviating Cue-Induced Craving: a Pilot Study

Introduction: Results from observational studies suggest that smoking-related cues play a role in triggering relapse. Coping strategies are among the most commonly used cessation strategies, but little is known about how they aid quitting.

Aims: The aim of this pilot study was to evaluate the effect of a suite of selected coping techniques on alleviating cue-induced cravings.

Methods: Thirty-seven daily smokers (Intervention: 20; Control: 17) participated in two laboratory cue-reactivity sessions, separated by approximately one week, during which craving was assessed before and after exposure to smoking-related cues. Following the first session, participants in the Intervention Group were taught a suite of coping strategies. During the second session, participants in the Intervention Group were encouraged to use these strategies.

Results: Participants in the Intervention Group reported a slight decrease in craving following the acute exposure manipulation at the second session, compared to an increase in craving among participants in the Control Group. Intervention Group participants also reported a decrease in craving following prolonged exposure to the smoking cues (compared to an increase in craving among Control Group participants). In both cases, the difference between groups was more pronounced among smokers who responded to the cue-reactivity manipulation. The observed differences were not significant.

Conclusions: The results of this pilot study suggest that coping techniques may be beneficial in alleviating both the initial spike in craving observed following acute cue exposure, and aid recovery during prolonged exposure. These findings need to be replicated in a larger study.

Treatment models for targeting tobacco use during treatment for cannabis use disorder: case series

Approximately 50% of individuals seeking treatment for cannabis use disorders (CUD) also smoke tobacco, and tobacco smoking is a predictor of poor outcomes for those in treatment for CUD. Quitting tobacco is associated with long-term abstinence from alcohol and illicit drugs, yet there are no established treatments for CUD that also target tobacco smoking. This report highlights issues related to cannabis and tobacco co-use and discusses potential treatment approaches targeting both substances. Data is shared from the first six participants enrolled in an intervention designed to simultaneously target tobacco use in individuals seeking treatment for CUD. The twelve-week program comprised computer-assisted delivery of Motivational Enhancement Therapy, Cognitive Behavioral Therapy, and Contingency Management, i.e., abstinence-based incentives for CUD. In addition, participants were encouraged to complete an optional tobacco intervention consisting of nicotine-replacement therapy and computer-assisted delivery of a behavioral treatment tailored for tobacco and cannabis users. All participants completed the cannabis intervention and at least a portion of the tobacco intervention: all completed at least one tobacco computer module (mean=2.5 modules) and 50% initiated nicotine replacement therapy. Five of six participants achieved abstinence from cannabis. The number of tobacco quit attempts was lower than expected, however all participants attempted to reduce tobacco use during treatment. Simultaneously targeting tobacco during treatment for CUD did not negatively impact cannabis outcomes. Participation in the tobacco intervention was high, but cessation outcomes were poor suggesting that alternative strategies might be needed to more effectively prompt quit attempts and enhance quit rates.

A review of web based interventions for managing tobacco use

Web based interventions (WBIs) have been developed for various health conditions. These include interventions for various psychoactive substance use disorders including tobacco and alcohol. Tobacco use has remained the single largest preventable cause of global mortality and morbidity for many years. It is responsible for around 6 million deaths annually world-wide. Ironically, most of the tobacco users reside in resource poor low and middle-income countries. The article reviews the existing literature on WBIs for management of tobacco use. The literature search was performed using MedLine, PubMed, PsycINFO, Embase and Cochrane Review for relevant English language articles published from 1998 up to 2013. There is limited support for effectiveness of WBIs for managing tobacco use among adolescents. Although most of the trials among adults found WBIs to be more effective at short term follow-up (a few days to weeks), the benefits failed to extend beyond 3 months in most of the studies. All but one interventions studied in a randomized controlled trial is for smoking forms.

Tobacco use and cessation for cancer survivors: an overview for clinicians

Approximately 30% of all cancer deaths in the United States are caused by tobacco use and smoking. Cancers of eighteen sites have been causally linked to smoking, the most common of which are the lung, head and neck, bladder, and esophagus. While quit rates and quit attempt rates are relatively high shortly after a cancer diagnosis, the recidivism rates are also high. Therefore, screening, treating, and preventing relapse to tobacco use is imperative among patients with and survivors of cancer. To date, research has consistently shown that a combination of pharmacologic and behavioral interventions is needed to achieve the highest smoking cessation rates, with a recent emphasis on individualized treatment as a most promising approach. Challenges in health care systems, including the lack of appropriate resources and provider training, have slowed the progress in addition to important clinical considerations relevant to the treatment of tobacco dependence (eg, a high degree of comorbidity with psychiatric disorders and other substance use disorders). However, continued tobacco use has been shown to limit the effectiveness of major cancer treatments and to increase the risk of complications and of developing secondary cancers. The authors recommend that oncology providers screen all patients for tobacco use and refer users to specialized treatment when available. Alternatively, oncology clinicians can provide basic advice on tobacco use cessation and pharmacotherapy and/or referral to outside resources (eg, quitlines). Herein, the authors summarize the current knowledge on tobacco use and its treatment, with a focus on the related available evidence for patients with and survivors of cancer.

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

BACKGROUND

The 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.

OBJECTIVE

The 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.

METHODS

Participants 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.

RESULTS

A 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.

CONCLUSIONS

The 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.

Exploring the "active ingredients" of an online smoking intervention: a randomized factorial trial

INTRODUCTION

Research needs to systematically identify which components increase online intervention effectiveness (i.e., active ingredients). This study explores the effects of 4 potentially important design features in an Internet-based, population-level smoking intervention.

METHODS

Smokers (n = 1,865) were recruited from a large health care organization, regardless of readiness to quit. Using a full factorial design, participants were randomized to 1 of the 2 levels of each experimental factor (message tone [prescriptive vs. motivational], navigation autonomy [dictated vs. not], e-mail reminders [yes vs. no], and receipt of personally tailored testimonials [yes vs. no]) and provided access to the online intervention. Primary outcomes were self-reported 7-day point-prevalent smoking abstinence and confirmed utilization of adjunct treatment (pharmacotherapy or phone counseling) available through the health plan at 1 year. Outcomes were also assessed at 2 and 6 months and were examined among all enrolled participants (intent-to-treat [ITT]) and all who viewed the intervention (modified ITT).

RESULTS

At 1 year, 13.7% were abstinent and 26.0% utilized adjunct treatment. None of the contrasting factor levels differentially influenced abstinence or treatment utilization at 12 months. In the modified ITT sample, smokers receiving testimonials were less likely to use adjunct treatment at 6 months (odds ratio = 0.54, 95% confidence interval = 0.30-0.98, p = .04).

CONCLUSIONS

None of the design features enhanced treatment outcome. The negative effect observed for testimonials is provocative, but it should be viewed with caution. This study offers a model for future research testing the "active ingredients" of online interventions.

Do email and mobile phone prompts stimulate primary school children to reuse an Internet-delivered smoking prevention intervention?

BACKGROUND

Improving the use (eg, initial visit and revisits) of Internet-delivered interventions to promote healthy lifestyles such as non-smoking is one of the largest challenges in the field of eHealth. Prompts have shown to be effective in stimulating reuse of Internet-delivered interventions among adults and adolescents. However, evidence concerning effectiveness of prompts to promote reuse of a website among children is still scarce.

OBJECTIVE

The aim of this study is to investigate (1) whether prompts are effective in promoting reuse of an intervention website containing information on smoking prevention for children, (2) whether the content of the prompt is associated with its effect in terms of reuse, and (3) whether there are differences between children who do or do not respond to prompts.

METHODS

The sample of this cluster-randomized study consisted of 1124 children (aged 10-11 years) from 108 Dutch primary schools, who were assigned to the experimental group of an Internet-delivered smoking prevention intervention study. All participants completed a Web-based questionnaire on factors related to (non-)smoking. Schools were randomized to a no-prompt group (n=50) or a prompt group (n=58). All children could revisit the intervention website, but only the children in the prompt group received email and SMS prompts to revisit the website. Those prompt messages functioned as a teaser to stimulate reuse of the intervention website. Reuse of the website was objectively tracked by means of a server registration system. Repeated measures analysis of variance and linear regression analysis were performed to assess the effects of prompts on website reuse and to identify individual characteristics of participants who reuse the intervention website.

RESULTS

Children in the prompt group reused the intervention website significantly more often compared to children in the no-prompt group (B=1.56, P<.001). Prompts announcing new animated videos (F1,1122=9.33, P=.002) and games about (non-)smoking on the website (F1,1122=8.28, P=.004) resulted in most reuse of the website. Within the prompt group, children with a low socioeconomic status (SES) reused the intervention website more often (B=2.19, P<.001) than children of high SES (B=0.93, P=.005).

CONCLUSIONS

Prompts can stimulate children to reuse an intervention website aimed at smoking prevention. Prompts showed, furthermore, to stimulate children of a low SES slightly more to reuse an intervention website, which is often a difficult target group in terms of stimulating participation. However, the number of revisits was quite low, which requires further study into how prompts can be optimized in terms of content and frequency to improve the number of revisits.

TRIAL REGISTRATION

Netherlands Trial Register Number: NTR3116; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=3116 (Archived by WebCite at http://www.webcitation.org/6O0wQYuPI).

Comparison of text and video computer-tailored interventions for smoking cessation: randomized controlled trial

BACKGROUND

A wide range of effective smoking cessation interventions have been developed to help smokers to quit. Smoking rates remain high, especially among people with a lower level of education. Multiple tailoring adapted to the individual's readiness to quit and the use of visual messaging may increase smoking cessation.

OBJECTIVE

The results of video and text computer tailoring were compared with the results of a control condition. Main effects and differential effects for subgroups with different educational levels and different levels of readiness to quit were assessed.

METHODS

During a blind randomized controlled trial, smokers willing to quit within 6 months were assigned to a video computer tailoring group with video messages (n=670), a text computer tailoring group with text messages (n=708), or to a control condition with short generic text advice (n=721). After 6 months, effects on 7-day point prevalence abstinence and prolonged abstinence were assessed using logistic regression analyses. Analyses were conducted in 2 samples: (1) respondents (as randomly assigned) who filled in the baseline questionnaire and completed the first session of the program, and (2) a subsample of sample 1, excluding respondents who did not adhere to at least one further intervention session. In primary analyses, we used a negative scenario in which respondents lost to follow-up were classified as smokers. Complete case analysis and multiple imputation analyses were considered as secondary analyses.

RESULTS

In sample 1, the negative scenario analyses revealed that video computer tailoring was more effective in increasing 7-day point prevalence abstinence than the control condition (OR 1.45, 95% CI 1.09-1.94, P=.01). Video computer tailoring also resulted in significantly higher prolonged abstinence rates than controls among smokers with a low (ready to quit within 4-6 months) readiness to quit (OR 5.13, 95% CI 1.76-14.92, P=.003). Analyses of sample 2 showed similar results, although text computer tailoring was also more effective than control in realizing 7-day point prevalence abstinence. No differential effects were found for level of education. Complete case analyses and multiple imputation yielded similar results.

CONCLUSIONS

In all analyses, video computer tailoring was effective in realizing smoking cessation. Furthermore, video computer tailoring was especially successful for smokers with a low readiness to quit smoking. Text computer tailoring was only effective for sample 2. Results suggest that video-based messages with personalized feedback adapted to the smoker's motivation to quit might be effective in increasing abstinence rates for smokers with diverse educational levels.

TRIAL REGISTRATION

Netherlands Trial Register: NTR3102; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=3102 (Archived by WebCite at http://www.webcitation.org/6NS8xhzUV).

Effects of a web-based tailored multiple-lifestyle intervention for adults: a two-year randomized controlled trial comparing sequential and simultaneous delivery modes

Background

Web-based computer-tailored interventions for multiple health behaviors can have a significant public health impact. Yet, few randomized controlled trials have tested this assumption.

Objective

The objective of this paper was to test the effects of a sequential and simultaneous Web-based tailored intervention on multiple lifestyle behaviors.

Methods

A randomized controlled trial was conducted with 3 tailoring conditions (ie, sequential, simultaneous, and control conditions) in the Netherlands in 2009-2012. Follow-up measurements took place after 12 and 24 months. The intervention content was based on the I-Change model. In a health risk appraisal, all respondents (N=5055) received feedback on their lifestyle behaviors that indicated whether they complied with the Dutch guidelines for physical activity, vegetable consumption, fruit consumption, alcohol intake, and smoking. Participants in the sequential (n=1736) and simultaneous (n=1638) conditions received tailored motivational feedback to change unhealthy behaviors one at a time (sequential) or all at the same time (simultaneous). Mixed model analyses were performed as primary analyses; regression analyses were done as sensitivity analyses. An overall risk score was used as outcome measure, then effects on the 5 individual lifestyle behaviors were assessed and a process evaluation was performed regarding exposure to and appreciation of the intervention.

Results

Both tailoring strategies were associated with small self-reported behavioral changes. The sequential condition had the most significant effects compared to the control condition after 12 months (T1, effect size=0.28). After 24 months (T2), the simultaneous condition was most effective (effect size=0.18). All 5 individual lifestyle behaviors changed over time, but few effects differed significantly between the conditions. At both follow-ups, the sequential condition had significant changes in smoking abstinence compared to the simultaneous condition (T1 effect size=0.31; T2 effect size=0.41). The sequential condition was more effective in decreasing alcohol consumption than the control condition at 24 months (effect size=0.27). Change was predicted by the amount of exposure to the intervention (total visiting time: beta=–.06; P=.01; total number of visits: beta=–.11; P<.001). Both interventions were appreciated well by respondents without significant differences between conditions.

Conclusions

Although evidence was found for the effectiveness of both programs, no simple conclusive finding could be drawn about which intervention mode was more effective. The best kind of intervention may depend on the behavior that is targeted or on personal preferences and motivation. Further research is needed to identify moderators of intervention effectiveness. The results need to be interpreted in view of the high and selective dropout rates, multiple comparisons, and modest effect sizes. However, a large number of people were reached at low cost and behavioral change was achieved after 2 years.

Trial Registration

Nederlands Trial Register: NTR 2168; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2168 (Archived by WebCite at http://www.webcitation.org/6MbUqttYB).

Internet programs targeting multiple lifestyle interventions in primary and secondary care are not superior to usual care alone in improving cardiovascular risk profile: a systematic review

OBJECTIVE

To review the effects of Internet delivered multiple modifiable lifestyle interventions complementary to usual care on cardiovascular risk factors in the primary and secondary healthcare setting.

METHOD

PubMed, EMBASE.com, CINAHL, PsycINFO, and the Cochrane Library were searched up to June 2012 for English written studies that 1) addressed multiple lifestyle interventions, 2) used Internet intervention through websites or email, 3) included at least one usual care group not using Internet, 4) aimed to improve any of cardiovascular risk factors and 5) targeted patients aged 18 or older.

RESULTS

Our systematic search yielded 1857 citations of which 9 were selected for this review. Three studies reported significant differences in weight loss in favor of the intervention group and five studies reported non-significant differences between groups. From the 7 studies reporting on blood pressure (BP) measurements, two found significant improvement in favor of the intervention group, while the other studies found no significant differences. Only one study found a significant improvement of LDL-C in the intervention group compared to usual care. Another study found a significant improvement of HDL-C in the usual care group compared to the intervention group.

CONCLUSION

The addition of a multiple modifiable lifestyle Internet intervention in primary or secondary care is not superior to usual care with respect to prevention and treatment of cardiovascular risk factors. However, an Internet delivered program does have the potential of being successful in reducing the number of doctor's visits and may therefore be cost-effective when applied in large scale.

Randomized trial of a smartphone mobile application compared to text messaging to support smoking cessation

BACKGROUND

Text messaging has successfully supported smoking cessation. This study compares a mobile application with text messaging to support smoking cessation.

MATERIALS AND METHODS

Young adult smokers 18-30 years old (n = 102) participated in a randomized pretest-posttest trial. Smokers received a smartphone application (REQ-Mobile) with short messages and interactive tools or a text messaging system (onQ), managed by an expert system. Self-reported usability of REQ-Mobile and quitting behavior (quit attempts, point-prevalence, 30-day point-prevalence, and continued abstinence) were assessed in posttests.

RESULTS

Overall, 60% of smokers used mobile services (REQ-Mobile, 61%, mean of 128.5 messages received; onQ, 59%, mean of 107.8 messages), and 75% evaluated REQ-Mobile as user-friendly. A majority of smokers reported being abstinent at posttest (6 weeks, 53% of completers; 12 weeks, 66% of completers [44% of all cases]). Also, 37% (25%of all cases) reported 30-day point-prevalence abstinence, and 32% (22% of all cases) reported continuous abstinence at 12 weeks. OnQ produced more abstinence (p<0.05) than REQ-Mobile. Use of both services predicted increased 30-day abstinence at 12 weeks (used, 47%; not used, 20%; p = 0.03).

CONCLUSIONS

REQ-Mobile was feasible for delivering cessation support but appeared to not move smokers to quit as quickly as text messaging. Text messaging may work better because it is simple, well known, and delivered to a primary inbox. These advantages may disappear as smokers become more experienced with new handsets. Mobile phones may be promising delivery platforms for cessation services using either smartphone applications or text messaging.

Can reduce--the effects of chat-counseling and web-based self-help, web-based self-help alone and a waiting list control program on cannabis use in problematic cannabis users: a randomized controlled trial

BACKGROUND

In European countries, including Switzerland, as well as in many states worldwide, cannabis is the most widely used psychoactive substance after alcohol and tobacco. Although approximately one in ten users develop serious problems of dependency, only a minority attends outpatient addiction counseling centers. The offer of a combined web-based self-help and chat counseling treatment could potentially also reach those users who hesitate to approach such treatment centers and help them to reduce their cannabis use.

METHODS/DESIGN

This paper presents the protocol for a three-armed randomized controlled trial that will test the effectiveness of a web-based self-help intervention in combination with, or independent of, tailored chat counseling compared to a waiting list in reducing or enabling the abstention from cannabis use in problematic users. The primary outcome will be the weekly quantity of cannabis used. Secondary outcome measures will include the number of days per week on which cannabis is used, the severity of cannabis use disorder, the severity of cannabis dependence, cannabis withdrawal symptoms, cannabis craving, the use of alcohol, tobacco, and other non-cannabis illicit drugs, changes in mental health symptoms, and treatment retention. The self-help intervention will consist of 8 modules designed to reduce cannabis use based on the principles of motivational interviewing, self-control practices, and methods of cognitive behavioral therapy. The two additional individual chat-counseling sessions in the additional chat condition will be based on the same therapy approaches and tailored to participants' self-help information data and personal problems. The predictive validity of participants' baseline characteristics on treatment retention and outcomes will be explored.

DISCUSSION

To the best of our knowledge, this will be the first randomized controlled trial to test the effectiveness of online self-help therapy in combination or without chat counseling in reducing or enabling the abstention from cannabis use. It will also investigate predictors of outcome and retention for these interventions. This trial is registered at Current Controlled Trials and is traceable as ISRCTN59948178.

Cost-effectiveness of internet and telephone treatment for smoking cessation: an economic evaluation of The iQUITT Study

BACKGROUND

Internet and telephone treatments for smoking cessation can reach large numbers of smokers. There is little research on their costs and the impact of adherence on costs and effects.

OBJECTIVE

To conduct an economic evaluation of The iQUITT Study, a randomised trial comparing Basic Internet, Enhanced Internet and Enhanced Internet plus telephone counselling ('Phone') at 3, 6, 12 and 18 months.

METHODS

We used a payer perspective to evaluate the average and incremental cost per quitter of the three interventions using intention-to-treat analysis of 30-day single-point prevalence and multiple-point prevalence (MPP) abstinence rates. We also examined results based on adherence. Costs included commercial charges for each intervention. Discounting was not included given the short time horizon.

RESULTS

Basic Internet had the lowest cost per quitter at all time points. In the analysis of incremental costs per additional quitter, Enhanced Internet+Phone was the most cost-effective using both single and MPP abstinence metrics. As adherence increased, the cost per quitter dropped across all arms. Costs per quitter were lowest among participants who used the 'optimal' level of each intervention, with an average cost per quitter at 3 months of US$7 for Basic Internet, US$164 for Enhanced Internet and US$346 for Enhanced Internet+Phone.

CONCLUSIONS

'Optimal' adherence to internet and combined internet and telephone interventions yields the highest number of quitters at the lowest cost. Cost-effective means of ensuring adherence to such evidence-based programmes could maximise their population-level impact on smoking prevalence.

Participant experiences of an internet-based intervention and randomised control trial: interview study

Background

There are an increasing number of interventions being delivered online, and an expanding body of research to assess the effectiveness of such interventions. Yet, little is known about the motivations for participating in online research. Furthermore, internet interventions and online research studies are characterised by poor adherence and high attrition rates. This study aimed to explore participant motivations for taking part in an online trial of an internet intervention and the reasons for continuing.

Methods

Semi-structured telephone interviews were conducted with twenty members of the intervention arm of an internet-based randomised control trial evaluating an online cognitive behavioural tool to improve mental wellbeing. The qualitative interviews were analysed using the Framework Approach to identify themes and subthemes, through familiarization with the data, identifying a thematic framework, charting, indexing, mapping and interpreting the data.

Results

A number of key themes emerged. Trusted brands were key to participants feeling secure in engaging with the trial due to the association with institutions such as the UK National Health Service and the lead University conducting the research. Participants had a number of motivations for signing up with the study; altruism, low mood and as a replacement for a physical health professional. Participants felt the need for the language used in the intervention to be tailored to them as individuals. The majority of those interviewed also described multiple benefits from the intervention, which could have been a reason for them to persist.

Conclusion

The nascent field of research on internet delivered healthcare needs to take account of participant views, as have been identified in this trial and future studies would benefit from applying its findings.

Psychosocial interventions for supporting women to stop smoking in pregnancy

BACKGROUND

Tobacco smoking in pregnancy remains one of the few preventable factors associated with complications in pregnancy, stillbirth, low birthweight and preterm birth and has serious long-term implications for women and babies. Smoking in pregnancy is decreasing in high-income countries, but is strongly associated with poverty and increasing in low- to middle-income countries.

OBJECTIVES

To assess the effects of smoking cessation interventions during pregnancy on smoking behaviour and perinatal health outcomes.

SEARCH METHODS

In this fifth update, we searched the Cochrane Pregnancy and Childbirth Group's Trials Register (1 March 2013), checked reference lists of retrieved studies and contacted trial authors to locate additional unpublished data.

SELECTION CRITERIA

Randomised controlled trials, cluster-randomised trials, randomised cross-over trials, and quasi-randomised controlled trials (with allocation by maternal birth date or hospital record number) of psychosocial smoking cessation interventions during pregnancy.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trials for inclusion and trial quality, and extracted data. Direct comparisons were conducted in RevMan, and subgroup analyses and sensitivity analysis were conducted in SPSS.

MAIN RESULTS

Eighty-six trials were included in this updated review, with 77 trials (involving over 29,000 women) providing data on smoking abstinence in late pregnancy.In separate comparisons, counselling interventions demonstrated a significant effect compared with usual care (27 studies; average risk ratio (RR) 1.44, 95% confidence interval (CI) 1.19 to 1.75), and a borderline effect compared with less intensive interventions (16 studies; average RR 1.35, 95% CI 1.00 to 1.82). However, a significant effect was only seen in subsets where counselling was provided in conjunction with other strategies. It was unclear whether any type of counselling strategy is more effective than others (one study; RR 1.15, 95% CI 0.86 to 1.53). In studies comparing counselling and usual care (the largest comparison), it was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy (eight studies; average RR 1.06, 95% CI 0.93 to 1.21). However, a clear effect was seen in smoking abstinence at zero to five months postpartum (10 studies; average RR 1.76, 95% CI 1.05 to 2.95), a borderline effect at six to 11 months (six studies; average RR 1.33, 95% CI 1.00 to 1.77), and a significant effect at 12 to 17 months (two studies, average RR 2.20, 95% CI 1.23 to 3.96), but not in the longer term. In other comparisons, the effect was not significantly different from the null effect for most secondary outcomes, but sample sizes were small.Incentive-based interventions had the largest effect size compared with a less intensive intervention (one study; RR 3.64, 95% CI 1.84 to 7.23) and an alternative intervention (one study; RR 4.05, 95% CI 1.48 to 11.11).Feedback interventions demonstrated a significant effect only when compared with usual care and provided in conjunction with other strategies, such as counselling (two studies; average RR 4.39, 95% CI 1.89 to 10.21), but the effect was unclear when compared with a less intensive intervention (two studies; average RR 1.19, 95% CI 0.45 to 3.12).The effect of health education was unclear when compared with usual care (three studies; average RR 1.51, 95% CI 0.64 to 3.59) or less intensive interventions (two studies; average RR 1.50, 95% CI 0.97 to 2.31).Social support interventions appeared effective when provided by peers (five studies; average RR 1.49, 95% CI 1.01 to 2.19), but the effect was unclear in a single trial of support provided by partners.The effects were mixed where the smoking interventions were provided as part of broader interventions to improve maternal health, rather than targeted smoking cessation interventions.Subgroup analyses on primary outcome for all studies showed the intensity of interventions and comparisons has increased over time, with higher intensity interventions more likely to have higher intensity comparisons. While there was no significant difference, trials where the comparison group received usual care had the largest pooled effect size (37 studies; average RR 1.34, 95% CI 1.25 to 1.44), with lower effect sizes when the comparison group received less intensive interventions (30 studies; average RR 1.20, 95% CI 1.08 to 1.31), or alternative interventions (two studies; average RR 1.26, 95% CI 0.98 to 1.53). More recent studies included in this update had a lower effect size (20 studies; average RR 1.26, 95% CI 1.00 to 1.59), I(2)= 3%, compared to those in the previous version of the review (50 studies; average RR 1.50, 95% CI 1.30 to 1.73). There were similar effect sizes in trials with biochemically validated smoking abstinence (49 studies; average RR 1.43, 95% CI 1.22 to 1.67) and those with self-reported abstinence (20 studies; average RR 1.48, 95% CI 1.17 to 1.87). There was no significant difference between trials implemented by researchers (efficacy studies), and those implemented by routine pregnancy staff (effectiveness studies), however the effect was unclear in three dissemination trials of counselling interventions where the focus on the intervention was at an organisational level (average RR 0.96, 95% CI 0.37 to 2.50). The pooled effects were similar in interventions provided for women with predominantly low socio-economic status (44 studies; average RR 1.41, 95% CI 1.19 to 1.66), compared to other women (26 studies; average RR 1.47, 95% CI 1.21 to 1.79); though the effect was unclear in interventions among women from ethnic minority groups (five studies; average RR 1.08, 95% CI 0.83 to 1.40) and aboriginal women (two studies; average RR 0.40, 95% CI 0.06 to 2.67). Importantly, pooled results demonstrated that women who received psychosocial interventions had an 18% reduction in preterm births (14 studies; average RR 0.82, 95% CI 0.70 to 0.96), and infants born with low birthweight (14 studies; average RR 0.82, 95% CI 0.71 to 0.94). There did not appear to be any adverse effects from the psychosocial interventions, and three studies measured an improvement in women's psychological wellbeing.

AUTHORS' CONCLUSIONS

Psychosocial interventions to support women to stop smoking in pregnancy can increase the proportion of women who stop smoking in late pregnancy, and reduce low birthweight and preterm births.

Efficacy of interventions to combat tobacco addiction: Cochrane update of 2012 reviews

BACKGROUND AND AIMS

The Cochrane Collaboration is an international not-for-profit organization which produces and disseminates systematic reviews of health-care interventions. This paper is the first in a series of annual updates of Cochrane reviews on tobacco addiction interventions. It also provides an up-to-date overview of review findings in this area to date and summary statistics for cessation reviews in which meta-analyses were conducted.

METHODS

In 2012, the Group published seven new reviews and updated 13 others. This update summarizes and comments on these reviews. It also summarizes key findings from all the other reviews in this area.

RESULTS

New reviews in 2012 found that in smokers using pharmacotherapy, behavioural support improves success rates [risk ratio (RR) 1.16, 95% confidence interval (CI) = 1.09-1.24], and that combining behavioural support and pharmacotherapy aids cessation (RR 1.82, 95% CI = 1.66-2.00). Updated reviews established mobile phones as potentially helpful in aiding cessation (RR 1.71, 95% CI = 1.47-1.99), found that cytisine (RR 3.98, 95% CI = 2.01-7.87) and low-dose varenicline (RR 2.09, 95% CI = 1.56-2.78) aid smoking cessation, and found that training health professionals in smoking cessation improves patient cessation rates (RR 1.60, 95% CI = 1.26-2.03). The updated reviews confirmed the benefits of nicotine replacement therapy, standard dose varenicline and providing cessation treatment free of charge. Lack of demonstrated efficacy remained for partner support, expired-air carbon monoxide feedback and lung function feedback.

CONCLUSIONS

Cochrane systematic review evidence for the first time establishes the efficacy of behavioural support over and above pharmacotherapy, as well as the efficacy of cytisine, mobile phone technology, low-dose varenicline and health professional training in promoting smoking cessation.

Overcoming recruitment challenges of web-based interventions for tobacco use: the case of web-based acceptance and commitment therapy for smoking cessation

Web-based behavioral interventions for substance use are being developed at a rapid pace, yet there is a dearth of information regarding the most effective methods for recruiting participants into web-based intervention trials. In this paper, we describe our successful recruitment of participants into a pilot trial of web-based Acceptance and Commitment Therapy (ACT) for smoking cessation and compare traditional and web-based methods of recruitment in terms of their effects on baseline participant characteristics, association with study retention and treatment outcome, yield, and cost-effectiveness. Over a 10-week period starting June 15, 2010, we recruited 222 smokers for a web-based smoking cessation study using a variety of recruitment methods. The largest portion of randomized participants were recruited through Google AdWords (36%), followed by medical Internet media (23%), standard media (14%), word of mouth (12%), broadcast emails (11%), and social media (6%). Recruitment source was not related to baseline participant characteristics, 3-month data retention, or 30-day point prevalence smoking abstinence at the 3-month outcome assessment. Cost per randomized participant ranged from $5.27/participant for word of mouth to $172.76/participant for social media, with a mean cost of $42.48/participant. Our diversified approach to recruitment, including both traditional and web-based methods, enabled timely enrollment of participants into the study. Because there was no evidence of a substantive difference in baseline characteristics, retention, or outcomes based on recruitment channel, the yield and cost-effectiveness of recruitment methods may be the more critical considerations in developing a feasible recruitment plan for a web-based smoking cessation intervention study.

Participant profiles according to recruitment source in a large Web-based prospective study: experience from the Nutrinet-Santé study

Background

Interest in Internet-based epidemiologic research is growing given the logistic and cost advantages. Cohort recruitment to maximally diversify the sociodemographic profiles of participants, however, remains a contentious issue.

Objective

The aim of the study was to characterize the sociodemographic profiles according to the recruitment mode of adult volunteers enrolled in a Web-based cohort.

Methods

The French NutriNet-Santé Web-based cohort was launched in 2009. Recruitment is ongoing and largely relies on recurrent multimedia campaigns. One month after enrollment, participants are asked how they learned about the study (eg, general newscast or a health program on television, radio newscast, newspaper articles, Internet, personal advice, leaflet/flyers) The sociodemographic profiles of participants recruited through operative communication channels (radio, print media, Internet, advice) were compared with the profiles of those informed through television by using polytomous logistic regression.

Results

Among the 88,238 participants enrolled through the end of 2011, 30,401 (34.45%), 16,751 (18.98%), and 14,309 (16.22%) learned about the study from television, Internet, and radio newscasts, respectively. Sociodemographic profiles were various, with 14,541 (16.5%) aged ≥60 years, 20,166 (22.9%) aged <30 years, 27,766 (32.1%) without postsecondary education, 15,397 (19.7%) with household income <€1200/month, and 8258 (10.6%) with household income €3700/month. Compared to employed individuals, unemployed and retired participants were less likely to be informed about the study through other sources than through television (adjusted ORs 0.56-0.83, P<.001). Participants reporting up to secondary education were also less likely to have learned about the study through radio newscasts, newspaper articles, Internet, and advice than through television (adjusted ORs 0.60-0.77, P<.001).

Conclusions

Television broadcasts appear to permit the recruitment of e-cohort participants with diverse sociodemographic backgrounds, including socioeconomically disadvantaged individuals who are usually difficult to reach and retain in long-term epidemiologic studies. These findings could inform future Web-based studies regarding the development of promising targeted or general population recruitment strategies.

Randomized controlled trial of MyLastDip: a Web-based smokeless tobacco cessation program for chewers ages 14-25

INTRODUCTION

Use of smokeless tobacco (ST) is a significant public health problem for young adults, many of whom want to quit. We describe the outcome of a Randomized Controlled Trial (RCT) examining the efficacy of two web-based ST cessation interventions targeting young chewers.

METHODS

One thousand seven hundred and sixteen ST users wanting to quit were recruited online to the MyLastDip program and randomly assigned to one of two fully automated web-based ST cessation interventions: (a) an Enhanced Condition (N = 857) with tailored treatment recommendations and interactive features, or (b) a Basic Condition (N = 859) that provided an online ST cessation guide in static text.

RESULTS

Assessment completion rates at 3 months, 6 months, and for both 3 and 6 months were 73%, 71%, and 65%, respectively. No significant differences were found between conditions. Using complete case analysis for repeated point prevalence (3- and 6-month assessments), all tobacco abstinence was 28.9% for participants in the Enhanced Condition and 25.6% in the Basic Condition. Using intent-to-treat analysis, abstinence rates were 35.2% versus 32.3%. Similar results were obtained for ST abstinence. Participants reported being satisfied with their programs and the Enhanced Condition participants were relatively more engaged. Differences in program engagement were not related to tobacco abstinence at 6 months.

CONCLUSIONS

Both web-based ST cessation programs encouraged robust levels of absolute tobacco and ST abstinence at follow-up. The absence of between-group differences was discussed in terms of composition of the control condition and implications for next steps in treatment development and testing.

Development and evaluation of an intervention aiming to reduce fatigue in airline pilots: design of a randomised controlled trial

Background

A considerable percentage of flight crew reports to be fatigued regularly. This is partly caused by irregular and long working hours and the crossing of time zones. It has been shown that persistent fatigue can lead to health problems, impaired performance during work, and a decreased work-private life balance. It is hypothesized that an intervention consisting of tailored advice regarding exposure to daylight, optimising sleep, physical activity, and nutrition will lead to a reduction of fatigue in airline pilots compared to a control group, which receives a minimal intervention with standard available information.

Methods/design

The study population will consist of pilots of a large airline company. All pilots who posses a smartphone or tablet, and who are not on sick leave for more than four weeks at the moment of recruitment, will be eligible for participation.

In a two-armed randomised controlled trial, participants will be allocated to an intervention group that will receive the tailored advice to optimise exposure to daylight, sleep, physical activity and nutrition, and a control group that will receive standard available information. The intervention will be applied using a smartphone application and a website, and will be tailored on flight- and participant-specific characteristics. The primary outcome of the study is perceived fatigue. Secondary outcomes are need for recovery, duration and quality of sleep, dietary and physical activity behaviours, work-private life balance, general health, and sickness absence. A process evaluation will be conducted as well. Outcomes will be measured at baseline and at three and six months after baseline.

Discussion

This paper describes the development of an intervention for airline pilots, consisting of tailored advice (on exposure to daylight and sleep-, physical activity, and nutrition) applied into a smartphone application. Further, the paper describes the design of the randomised controlled trial evaluating the effect of the intervention on fatigue, health and sickness absence. If proven effective, the intervention can be applied as a new and practical tool in fatigue management. Results are expected at the end of 2013.

Trial registration

Netherlands Trial Register: NTR2722

The impact of telehealthcare on the quality and safety of care: a systematic overview

BACKGROUND

Telehealthcare involves the use of information and communication technologies to deliver healthcare at a distance and to support patient self-management through remote monitoring and personalised feedback. It is timely to scrutinise the evidence regarding the benefits, risks and costs of telehealthcare.

METHODS AND FINDINGS

Two reviewers searched for relevant systematic reviews published from January 1997 to November 2011 in: The Cochrane Library, MEDLINE, EMBASE, LILACS, IndMed and PakMed. Reviewers undertook independent quality assessment of studies using the Critical Appraisal Skills Programme (CASP) tool for systematic reviews. 1,782 review articles were identified, from which 80 systematic reviews were selected for inclusion. These covered a range of telehealthcare models involving both synchronous (live) and asynchronous (store-and-forward) interactions between provider and patients. Many studies showed no differences in outcomes between telehealthcare and usual care. Several reviews highlighted the large number of short-term (<12 months) feasibility studies with under 20 participants. Effects of telehealthcare on health service indicators were reported in several reviews, particularly reduced hospitalisations. The reported clinical effectiveness of telehealthcare interventions for patients with long-term conditions appeared to be greatest in those with more severe disease at high-risk of hospitalisation and death. The failure of many studies to adequately describe the intervention makes it difficult to disentangle the contributions of technological and human/organisational factors on the outcomes reported. Evidence on the cost-effectiveness of telehealthcare remains sparse. Patient safety considerations were absent from the evaluative telehealthcare literature.

CONCLUSIONS

Policymakers and planners need to be aware that investment in telehealthcare will not inevitably yield clinical or economic benefits. It is likely that the greatest gains will be achieved for patients at highest risk of serious outcomes. There is a need for longer-term studies in order to determine whether the benefits demonstrated in time limited trials are sustained.

A randomised controlled trial of a theory-based interactive internet-based smoking cessation intervention (‘StopAdvisor’): Study protocol

Background: Internet-based interventions can help smokers to quit compared with brief written materials or no intervention. However, they are not widely used, particularly by more disadvantaged smokers, and there is significant variation in their effectiveness. A new smoking cessation website (‘StopAdvisor’) has been systematically developed on the basis of PRIME theory, empirical evidence, web-design expertise and user-testing with socio-economically disadvantaged smokers. This paper reports the protocol of a randomised controlled trial to evaluate the efficacy of StopAdvisor and determine whether it translates across the social spectrum.

Methods: The trial has two arms with participants randomised to the offer of the interactive ‘StopAdvisor’ website (intervention condition) or a non-interactive, static website (control condition). Participants are adults from the UK, who smoke every day and are willing to make a serious quit attempt within a month of enrolment. At least 4260 participants will be recruited with a minimum of 2130 in each of two socio-economic sub-groups. The intervention comprises a structured quit plan and a variety of theory- and evidence-based behaviour change techniques for smoking cessation. Tailored support is offered in the form of a series of tunnelled sessions and a variety of interactive menus for use up to a month before, and then for one month after quitting (http://www.lifeguideonline.org/player/play/stopadvisordemonstration). The control is a static website that presents brief and standard advice on smoking cessation. Assessments are at baseline and 2-, 4- and 7-months post-enrolment. The primary outcome measure will be Russell Standard 6-months sustained abstinence, defined as self-reported continuous abstinence verified by saliva cotinine or anabasine at 7-month follow-up. Secondary outcome measures will include 7-day point-prevalence abstinence at 7-month follow-up, self-reported abstinence at 2- and 4-month follow-ups, satisfaction ratings of the website and quantitative indices of website interaction. All analyses will be by intention to treat and the main analysis will compare the two conditions on the primary outcome measure using a logistic regression model, adjusted for baseline characteristics. The efficacy of the intervention across the social spectrum will be assessed by a logistic regression focusing on the interaction between condition and socio-economic disadvantage.

Trial registration: ISRCTN99820519.

Online prevention aimed at lifestyle behaviors: a systematic review of reviews

Background

Interventions aimed at behavior change are increasingly being delivered over the Internet. Although research on intervention effectiveness has been widely conducted, their true public health impact as indicated by reach, effectiveness, and use is unclear.

Objective

The aim of this paper is to (1) review the current literature on online prevention aimed at lifestyle behaviors, and (2) identify research gaps regarding reach, effectiveness, and use.

Methods

A systematic search in PubMed revealed relevant literature published between 2005 and 2012 on Internet-delivered behavior change interventions aimed at dietary behaviors, physical activity, alcohol use, smoking, and condom use. Our search yielded 41 eligible reviews, which were analyzed in terms of reach, effectiveness, and use according to the RE-AIM framework.

Results

According to health priorities, interventions are largely targeted at weight-related behaviors, such as physical activity and dietary behavior. Evaluations are predominantly effect-focused and overall effects are small, variable, and not sustainable. Determinants of effectiveness are unclear; effectiveness cannot yet be unambiguously attributed to isolated elements. Actual reach of interventions is undiversified, mostly reaching participants who are female, highly educated, white, and living in high-income countries. One of the most substantial problems in online prevention is the low use of the interventions, a phenomenon seen across all behavior domains.

Conclusions

More research is needed on effective elements instead of effective interventions, with special attention to long-term effectiveness. The reach and use of interventions need more scientific input to increase the public health impact of Internet-delivered interventions.

Internet-based interventions for smoking cessation

BACKGROUND

The Internet is now an indispensable part of daily life for the majority of people in many parts of the world. It offers an additional means of effecting changes to behaviour such as smoking.

OBJECTIVES

To determine the effectiveness of Internet-based interventions for smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register. There were no restrictions placed on language of publication or publication date. The most recent search was conducted in April 2013.

SELECTION CRITERIA

We included randomized and quasi-randomized trials. Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed and extracted data. Methodological and study quality details were extracted using a standardized form. We extracted smoking cessation outcomes of six months follow-up or more, reporting short-term outcomes where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI). Clinical and statistical heterogeneity limited our ability to pool studies.

MAIN RESULTS

This updated review includes a total of 28 studies with over 45,000 participants. Some Internet programmes were intensive and included multiple outreach contacts with participants, whilst others relied on participants to initiate and maintain use.Fifteen trials compared an Internet intervention to a non-Internet-based smoking cessation intervention or to a no-intervention control. Ten of these recruited adults, one recruited young adult university students and two recruited adolescents. Seven of the trials in adults had follow-up at six months or longer and compared an Internet intervention to usual care or printed self help. In a post hoc subgroup analysis, pooled results from three trials that compared interactive and individually tailored interventions to usual care or written self help detected a statistically significant effect in favour of the intervention (RR 1.48, 95% CI 1.11 to 2.78). However all three trials were judged to be at high risk of bias in one domain and high statistical heterogeneity was detected (I² = 53%), with no obvious clinical explanation. Pooled results from two studies of an interactive, tailored intervention involving the Internet and automated phone contacts also detected a significant effect (RR 2.05, 95% CI 1.42 to 2.97, I² = 42%). Results from a sixth study comparing an interactive but non-tailored intervention to control did not detect a significant effect, nor did the seventh study, which compared a non-interactive, non-tailored intervention to control. Three trials comparing Internet interventions to face-to-face or phone counselling also did not detect evidence of an effect, nor did two trials evaluating Internet interventions as adjuncts to other behavioural interventions. A trial in college students increased point prevalence abstinence after 30 weeks but had no effect on sustained abstinence. Two small trials in adolescents did not detect an effect on cessation compared to control.Fourteen trials, all in adult populations, compared different Internet sites or programmes. Pooled estimates from three trials that compared tailored and/or interactive Internet programmes with non-tailored, non-interactive Internet programmes did not detect evidence of an effect (RR 1.12, 95% CI 0.95 to 1.32, I² = 0%). One trial detected evidence of a benefit from a tailored email compared to a non-tailored one, whereas a second trial comparing tailored messages to a non-tailored message did not detect evidence of an effect. Trials failed to detect a benefit of including a mood management component (three trials), or an asynchronous bulletin board.

AUTHORS' CONCLUSIONS

Results suggest that some Internet-based interventions can assist smoking cessation at six months or longer, particularly those which are interactive and tailored to individuals. However, the trials that compared Internet interventions with usual care or self help did not show consistent effects and were at risk of bias. Further research is needed despite 28 studies on the subject. Future studies should carefully consider optimising the interventions which promise most effect such as tailoring and interactivity.

Mass media interventions for smoking cessation in adults

BACKGROUND

Mass media tobacco control campaigns can reach large numbers of people. Much of the literature is focused on the effects of tobacco control advertising on young people, but there are also a number of evaluations of campaigns targeting adult smokers, which show mixed results. Campaigns may be local, regional or national, and may be combined with other components of a comprehensive tobacco control policy.

OBJECTIVES

To assess the effectiveness of mass media interventions in reducing smoking among adults.

SEARCH METHODS

The Cochrane Tobacco Addiction Group search strategy was combined with additional searches for any studies that referred to tobacco/smoking cessation, mass media and adults. We also searched the Cochrane Register of Controlled Trials (CENTRAL) and a number of electronic databases. The last search was carried out in February 2013.

SELECTION CRITERIA

Controlled trials allocating communities, regions or states to intervention or control conditions; interrupted time series. Adults, 25 years or older, who regularly smoke cigarettes. Studies which cover all adults as defined in studies were included. Mass media are defined here as channels of communication such as television, radio, newspapers, billboards, posters, leaflets or booklets intended to reach large numbers of people, and which are not dependent on person-to-person contact. The purpose of the mass media campaign must be primarily to encourage smokers to quit. They could be carried out alone or in conjunction with tobacco control programmes. The primary outcome was change in smoking behaviour. This could be reported as changes in prevalence, changes in cigarette consumption, quit rates, odds of being a smoker.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed all studies for inclusion criteria and for study quality. One author (MB) extracted data, and a second author (LS) checked them.Results were not pooled due to heterogeneity of the included studies and are presented narratively and in table form.

MAIN RESULTS

Eleven campaigns met the inclusion criteria for this review. Studies differed in design, settings, duration, content and intensity of intervention, length of follow-up, methods of evaluation and also in definitions and measures of smoking behaviour used. Among nine campaigns reporting smoking prevalence, significant decreases were observed in the California and Massachusetts statewide tobacco control campaigns compared with the rest of the USA. Some positive effects on prevalence in the whole population or in the subgroups were observed in three of the remaining seven studies. Three large-scale campaigns of the seven presenting results for tobacco consumption found statistically significant decreases. Among the seven studies presenting abstinence or quit rates, four showed some positive effect, although in one of them the effect was measured for quitting and cutting down combined. Among the three that did not show significant decreases, one demonstrated a significant intervention effect on smokers and ex-smokers combined.

AUTHORS' CONCLUSIONS

There is evidence that comprehensive tobacco control programmes which include mass media campaigns can be effective in changing smoking behaviour in adults, but the evidence comes from a heterogeneous group of studies of variable methodological quality. One state-wide tobacco control programme (Massachusetts) showed positive results up to eight years after the campaign. Another (California) showed positive results during the period of adequate funding and implementation and in final evaluation since the beginning of the programme. Six of nine studies carried out in communities or regions showed some positive effects on smoking behaviour and at least one significant change in smoking prevalence (Sydney). The intensity and duration of mass media campaigns may influence effectiveness, but length of follow-up and concurrent secular trends and events can make this difficult to quantify. No consistent relationship was observed between campaign effectiveness and age, education, ethnicity or gender.

Pharmacological interventions for smoking cessation: an overview and network meta-analysis

BACKGROUND

Smoking is the leading preventable cause of illness and premature death worldwide. Some medications have been proven to help people to quit, with three licensed for this purpose in Europe and the USA: nicotine replacement therapy (NRT), bupropion, and varenicline. Cytisine (a treatment pharmacologically similar to varenicline) is also licensed for use in Russia and some of the former socialist economy countries. Other therapies, including nortriptyline, have also been tested for effectiveness.

OBJECTIVES

How do NRT, bupropion and varenicline compare with placebo and with each other in achieving long-term abstinence (six months or longer)? How do the remaining treatments compare with placebo in achieving long-term abstinence? How do the risks of adverse and serious adverse events (SAEs) compare between the treatments, and are there instances where the harms may outweigh the benefits?

METHODS

The overview is restricted to Cochrane reviews, all of which include randomised trials. Participants are usually adult smokers, but we exclude reviews of smoking cessation for pregnant women and in particular disease groups or specific settings. We cover nicotine replacement therapy (NRT), antidepressants (bupropion and nortriptyline), nicotine receptor partial agonists (varenicline and cytisine), anxiolytics, selective type 1 cannabinoid receptor antagonists (rimonabant), clonidine, lobeline, dianicline, mecamylamine, Nicobrevin, opioid antagonists, nicotine vaccines, and silver acetate. Our outcome for benefit is continuous or prolonged abstinence at least six months from the start of treatment. Our outcome for harms is the incidence of serious adverse events associated with each of the treatments. We searched the Cochrane Database of Systematic Reviews (CDSR) in The Cochrane Library, for any reviews with 'smoking' in the title, abstract or keyword fields. The last search was conducted in November 2012. We assessed methodological quality using a revised version of the AMSTAR scale. For NRT, bupropion and varenicline we conducted network meta-analyses, comparing each with the others and with placebo for benefit, and varenicline and bupropion for risks of serious adverse events.

MAIN RESULTS

We identified 12 treatment-specific reviews. The analyses covered 267 studies, involving 101,804 participants. Both NRT and bupropion were superior to placebo (odds ratios (OR) 1.84; 95% credible interval (CredI) 1.71 to 1.99, and 1.82; 95% CredI 1.60 to 2.06 respectively). Varenicline increased the odds of quitting compared with placebo (OR 2.88; 95% CredI 2.40 to 3.47). Head-to-head comparisons between bupropion and NRT showed equal efficacy (OR 0.99; 95% CredI 0.86 to 1.13). Varenicline was superior to single forms of NRT (OR 1.57; 95% CredI 1.29 to 1.91), and to bupropion (OR 1.59; 95% CredI 1.29 to 1.96). Varenicline was more effective than nicotine patch (OR 1.51; 95% CredI 1.22 to 1.87), than nicotine gum (OR 1.72; 95% CredI 1.38 to 2.13), and than 'other' NRT (inhaler, spray, tablets, lozenges; OR 1.42; 95% CredI 1.12 to 1.79), but was not more effective than combination NRT (OR 1.06; 95% CredI 0.75 to 1.48). Combination NRT also outperformed single formulations. The four categories of NRT performed similarly against each other, apart from 'other' NRT, which was marginally more effective than NRT gum (OR 1.21; 95% CredI 1.01 to 1.46). Cytisine (a nicotine receptor partial agonist) returned positive findings (risk ratio (RR) 3.98; 95% CI 2.01 to 7.87), without significant adverse events or SAEs. Across the 82 included and excluded bupropion trials, our estimate of six seizures in the bupropion arms versus none in the placebo arms was lower than the expected rate (1:1000), at about 1:1500. SAE meta-analysis of the bupropion studies demonstrated no excess of neuropsychiatric (RR 0.88; 95% CI 0.31 to 2.50) or cardiovascular events (RR 0.77; 95% CI 0.37 to 1.59). SAE meta-analysis of 14 varenicline trials found no difference between the varenicline and placebo arms (RR 1.06; 95% CI 0.72 to 1.55), and subgroup analyses detected no significant excess of neuropsychiatric events (RR 0.53; 95% CI 0.17 to 1.67), or of cardiac events (RR 1.26; 95% CI 0.62 to 2.56). Nortriptyline increased the chances of quitting (RR 2.03; 95% CI 1.48 to 2.78). Neither nortriptyline nor bupropion were shown to enhance the effect of NRT compared with NRT alone. Clonidine increased the chances of quitting (RR 1.63; 95% CI 1.22 to 2.18), but this was offset by a dose-dependent rise in adverse events. Mecamylamine in combination with NRT may increase the chances of quitting, but the current evidence is inconclusive. Other treatments failed to demonstrate a benefit compared with placebo. Nicotine vaccines are not yet licensed for use as an aid to smoking cessation or relapse prevention. Nicobrevin's UK license is now revoked, and the manufacturers of rimonabant, taranabant and dianicline are no longer supporting the development or testing of these treatments.

AUTHORS' CONCLUSIONS

NRT, bupropion, varenicline and cytisine have been shown to improve the chances of quitting. Combination NRT and varenicline are equally effective as quitting aids. Nortriptyline also improves the chances of quitting. On current evidence, none of the treatments appear to have an incidence of adverse events that would mitigate their use. Further research is warranted into the safety of varenicline and into cytisine's potential as an effective and affordable treatment, but not into the efficacy and safety of NRT.

Pilot randomized controlled trial of web-based acceptance and commitment therapy for smoking cessation

OBJECTIVE

Web-based smoking cessation interventions have high reach, but low effectiveness. To address this problem, we conducted a pilot randomized controlled trial of the first web-based acceptance and commitment therapy (ACT) intervention for smoking cessation. The aims were to determine design feasibility, user receptivity, effect on 30-day point prevalence quit rate at 3 months post-randomization, and mediation by ACT theory-based processes of acceptance.

METHODS

Adult participants were recruited nationally into the double-blind randomized controlled pilot trial (N = 222), which compared web-based ACT for smoking cessation (WebQuit.org) with the National Cancer Institute's Smokefree.gov-the U.S. national standard for web-based smoking cessation interventions.

RESULTS

We recruited 222 participants in 10 weeks. Participants spent significantly longer on the ACT WebQuit.org site per login (18.98 vs. 10.72 min; p = .001) and were more satisfied with the site (74% vs. 42%; p =.002). Using available follow-up data, more than double the fraction of participants in the ACT WebQuit.org arm had quit smoking at the 3-month follow-up (23% vs. 10%; OR = 3.05; 95% CI = 1.01-9.32; p = .050). Eighty percent of this effect was mediated by ACT theory-based increases in total acceptance of physical, cognitive, and emotional cues to smoke (p < .001).

CONCLUSIONS

The trial design was feasible. Compared with Smokefree.gov, ACT had higher user receptivity and short-term cessation, and strong evidence of theory-based mechanisms of change. While results were promising, they were limited by the pilot design (e.g., limited follow-up), and thus a full-scale efficacy trial is now being conducted.

Who participates in Web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies

INTRODUCTION

Smoking is the most preventable cause of death. Although effective, Web-assisted tobacco interventions are underutilized and recruitment is challenging. Understanding who participates in Web-assisted tobacco interventions may help in improving recruitment.

OBJECTIVES

To understand characteristics of smokers participating in a Web-assisted tobacco intervention (Decide2Quit.org).

METHODS

In addition to the typical Google advertisements, we expanded Decide2Quit.org recruitment to include referrals from medical and dental providers. We assessed how the expanded recruitment of smokers changed the users' characteristics, including comparison with a population-based sample of smokers from the national Behavioral Risk Factors Surveillance Survey (BRFSS). Using a negative binomial regression, we compared demographic and smoking characteristics by recruitment source, in particular readiness to quit and association with subsequent Decide2Quit.org use.

RESULTS

The Decide2Quit.org cohort included 605 smokers; the 2010 BRFSS dataset included 69,992. Compared to BRFSS smokers, a higher proportion of Decide2Quit.org smokers were female (65.2% vs 45.7%, P=.001), over age 35 (80.8% vs 67.0%, P=.001), and had some college or were college graduates (65.7% vs 45.9%, P=.001). Demographic and smoking characteristics varied by recruitment; for example, a lower proportion of medical- (22.1%) and dental-referred (18.9%) smokers had set a quit date or had already quit than Google smokers (40.1%, P<.001). Medical- and dental-referred smokers were less likely to use Decide2Quit.org functions; in adjusted analysis, Google smokers (predicted count 17.04, 95% CI 14.97-19.11) had higher predicted counts of Web page visits than medical-referred (predicted count 12.73, 95% CI 11.42-14.04) and dental-referred (predicted count 11.97, 95% CI 10.13-13.82) smokers, and were more likely to contact tobacco treatment specialists.

CONCLUSIONS

Recruitment from clinical practices complimented Google recruitment attracting smokers less motivated to quit and less experienced with Web-assisted tobacco interventions.

Effectiveness of an intensive E-mail based intervention in smoking cessation (TABATIC study): study protocol for a randomized controlled trial

BACKGROUND

Intensive interventions on smoking cessation increase abstinence rates. However, few electronic mail (E-mail) based intensive interventions have been tested in smokers and none in primary care (PC) setting. The aim of the present study is to evaluate the effectiveness of an intensive E-mail based intervention in smokers attending PC services.

METHODS/DESIGN

Randomized Controlled Multicentric Trial.

STUDY POPULATION

1060 smokers aged between 18-70 years from Catalonia, Salamanca and Aragón (Spain) who have and check regularly an E-mail account. Patients will be randomly assigned to control or intervention group.

INTERVENTION

Six phase intensive intervention with two face to face interviews and four automatically created and personal E-mail patients tracking, if needed other E-mail contacts will be made. Control group will receive a brief advice on smoking cessation.

OUTCOME MEASURES

Will be measured at 6 and 12 months after intervention: self reported continuous abstinence (confirmed by cooximetry), point prevalence abstinence, tobacco consumption, evolution of stage according to Prochaska and DiClemente's Stages of Change Model, length of visit, costs for the patient to access Primary Care Center.

STATISTICAL ANALYSIS

Descriptive and logistic and Poisson regression analysis under the intention to treat basis using SPSS v.17.

DISCUSSION

The proposed intervention is an E-mail based intensive intervention in smokers attending primary care. Positive results could be useful to demonstrate a higher percentage of short and long-term abstinence among smokers attended in PC in Spain who regularly use E-mail. Furthermore, this intervention could be helpful in all health services to help smokers to quit.

TRIAL REGISTRATION

Clinical Trials.gov Identifier: NCT01494246.

The effect of program design on engagement with an internet-based smoking intervention: randomized factorial trial

BACKGROUND

Participant engagement influences treatment effectiveness, but it is unknown which intervention design features increase treatment engagement for online smoking cessation programs.

OBJECTIVE

We explored the effects of 4 design features (ie, factors) on early engagement with an Internet-based, motivational smoking cessation program.

METHODS

Smokers (N=1865) were recruited from a large health care organization to participate in an online intervention study, regardless of their interest in quitting smoking. The program was intended to answer smokers' questions about quitting in an effort to motivate and support cessation. Consistent with the screening phase in the multiphase optimization strategy (MOST), we used a 2-level, full-factorial design. Each person was randomized to 1 of 2 levels of each factor, including message tone (prescriptive vs motivational), navigation autonomy (dictated vs not), proactive email reminders (yes vs no), and inclusion of personally tailored testimonials (yes vs no). The effects of each factor level on program engagement during the first 2 months of enrollment were compared, including number of visits to the website resulting in intervention content views (as opposed to supplemental content views), number of intervention content areas viewed, number of intervention content pages viewed, and duration of time spent viewing this content, as applicable to each factor.

RESULTS

Adjusting for baseline readiness to quit, persons who received content written in a prescriptive tone made the same number of visits to the website as persons receiving content in a motivational tone, but viewed 1.17 times as many content areas (95% CI 1.08-1.28; P<.001) and 1.15 times as many pages (95% CI 1.04-1.28; P=.009). Time spent viewing materials did not differ among groups (P=.06). Persons required to view content in a dictated order based on their initial readiness to quit made the same number of visits as people able to freely navigate the site, but viewed fewer content areas (ratio of means 0.80, 95% CI 0.74-0.87; P<.001), 1.17 times as many pages (95% CI 1.06-1.31; P=.003), and spent 1.37 times more minutes online (95% CI 1.17-1.59; P<.001). Persons receiving proactive email reminders made 1.20 times as many visits (95% CI 1.09-1.33; P<.001), viewed a similar number of content areas as persons receiving no reminders, viewed 1.58 times as many pages (95% CI 1.48-1.68; P<.001), and spent 1.51 times as many minutes online (95% CI 1.29-1.77; P<.001) as those who did not receive proactive emails. Tailored testimonials did not significantly affect engagement.

CONCLUSIONS

Using a prescriptive message tone, dictating content viewing order, and sending reminder emails each resulted in greater program engagement relative to the contrasting level of each experimental factor. The results require replication, but suggest that a more directive interaction style may be preferable for online cessation programs.

TRIAL REGISTRATION

clinicaltrials.gov NCT00992264; http://clinicaltrials.gov/ct2/show/NCT00992264 (Archived by WebCite at http://www.webcitation.org/6F7H7lr3P).

An updated algorithm for choosing among smoking cessation treatments

Although meta-analyses have documented the efficacy of treatments for smoking cessation, and guidelines have outlined treatment elements, few algorithms for choosing among treatments have been described. The current algorithm updates the author's prior algorithm. The major decisions in the algorithm are (a) use a motivational treatment if the smoker is not currently interested in quitting, (b) assess factors that influence choice of treatment, (c) consider both gradual and abrupt cessation, (d) use combined patch+gum/inhaler/lozenge or varenicline as first line medications, (e) use individual, group, Internet, and phone counseling as first line psychosocial treatments, and (f) continue treatment after a lapse or relapse. Further research is needed to determine whether algorithms improve treatment outcomes.

Prevalence and characteristics of smokers interested in internet-based smoking cessation interventions: cross-sectional findings from a national household survey

Background

An accurate and up-to-date estimate of the potential reach of Internet-based smoking cessation interventions (ISCIs) would improve calculations of impact while an understanding of the characteristics of potential users would facilitate the design of interventions.

Objective

This study reports the prevalence and the sociodemographic, smoking, and Internet-use characteristics of smokers interested in using ISCIs in a nationally representative sample.

Methods

Data were collected using cross-sectional household surveys of representative samples of adults in England. Interest in trying an Internet site or “app” that was proven to help with stopping smoking was assessed in 1128 adult smokers in addition to sociodemographic characteristics, dependence, motivation to quit, previous attempts to quit smoking, Internet and handheld computer access, and recent types of information searched online.

Results

Of a representative sample of current smokers, 46.6% (95% CI 43.5%-49.6%) were interested in using an Internet-based smoking cessation intervention. In contrast, only 0.3% (95% CI 0%-0.7%) of smokers reported having used such an intervention to support their most recent quit attempt within the past year. After adjusting for all other background characteristics, interested smokers were younger (OR=0.98, 95% CI 0.97-0.99), reported stronger urges (OR=1.29, 95% CI 1.10-1.51), were more motivated to quit within 3 months (OR=2.16, 95% CI 1.54-3.02), and were more likely to have made a quit attempt in the past year (OR=1.76, 95% CI 1.30-2.37), access the Internet at least weekly (OR=2.17, 95% CI 1.40-3.36), have handheld computer access (OR=1.65, 95% CI 1.22-2.24), and have used the Internet to search for online smoking cessation information or support in past 3 months (OR=2.82, 95% CI 1.20-6.62). There was no association with social grade.

Conclusions

Almost half of all smokers in England are interested in using online smoking cessation interventions, yet fewer than 1% have used them to support a quit attempt in the past year. Interest is not associated with social grade but is associated with being younger, more highly motivated, more cigarette dependent, having attempted to quit recently, having regular Internet and handheld computer access, and having recently searched for online smoking cessation information and support.

Population-level effects of automated smoking cessation help programs: a randomized controlled trial

AIMS

To test the population impact of offering automated smoking cessation interventions via the internet and/or by mobile phone.

DESIGN

Pragmatic randomized controlled trial with five conditions: offer of (i) minimal intervention control; (ii) QuitCoach personalized tailored internet-delivered advice program; (iii) onQ, an interactive automated text-messaging program; (iv) an integration of both QuitCoach and onQ; and (v) a choice of either alone or the combined program.

SETTING

Australia, via a mix of internet and telephone contacts.

PARTICIPANTS

A total of 3530 smokers or recent quitters recruited from those interested in quitting, and seeking self-help resources (n = 1335) or cold-contacted from internet panels (n = 2195).

MEASUREMENTS

The primary outcome was self-report of 6 months sustained abstinence at 7 months post-recruitment.

FINDINGS

Only 42.5% of those offered one of the interventions took it up to a minimal level. The intervention groups combined had a non-significantly higher 6-month sustained abstinence rate than the control [odds ratio (OR) = 1.48; 95% confidence interval (CI): 0.98-2.24] (missing cases treated as smokers), with no differences between the interventions. Among those who used an intervention, there was a significant overall increase in abstinence (OR = 1.95; CI: 1.04-3.67), but not clearly so when analysing only cases with reported outcomes. Success rates were greater among those recruited after seeking information compared to those cold-contacted.

CONCLUSIONS

Smokers interested in quitting who were assigned randomly to an offer of either the QuitCoach internet-based support program and/or the interactive automated text-messaging program had non-significantly greater odds of quitting for at least 6 months than those randomized to an offer of a simple information website.

A randomized clinical trial of smoking cessation treatments provided in HIV clinical care settings

INTRODUCTION

Identifying successful smoking treatment interventions and methods of delivery is critical given the smoking rates among HIV-positive populations and the medical implications of smoking in this population. This study compared the efficacy of 3 smoking cessation interventions provided in HIV clinical treatment settings.

METHODS

Following a baseline assessment, 209 HIV-positive smokers were randomly assigned to 1 of 3 conditions in a parallel group design. Treatment conditions were individual counseling plus nicotine replacement treatment (NRT), a computer-based Internet smoking treatment plus NRT, and self-help plus NRT. Smoking status was determined at follow-up assessments completed at 12, 24, 36, and 52 weeks following treatment initiation.

RESULTS

Cessation rates ranged from 15% to 29%; however, no statistically significant differences in abstinence were found among the treatment conditions over time. Those employed, those who reported a greater desire to quit, or those with lower mood disturbance scores were more likely to achieve abstinence (p < .01). The number of cigarettes participants reported smoking in the 24hr prior to each assessment significantly declined over time (p < .001).

CONCLUSIONS

Although we found no differences in abstinence rates across groups, the results indicate that integration of smoking cessation interventions is feasible in HIV clinical treatment settings, and cessation results are promising. The overall abstinence rates we report are comparable to those found in similar treatment studies across multiple populations. Further research is warranted.

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

BACKGROUND

Smoking 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.

OBJECTIVE

The 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.

METHODS

Smokers 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.

RESULTS

No 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).

CONCLUSIONS

Computer-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 REGISTRATION

Netherlands Trial Register (NTR3102).

Engagement promotes abstinence in a web-based cessation intervention: cohort study

Background

Web-based smoking cessation interventions can have a public health impact because they are both effective in promoting cessation and can reach large numbers of smokers in a cost-efficient manner. Their potential impact, however, has not been realized. It is still unclear how such interventions promote cessation, who benefits most, and how to improve their population impact.

Objective

To examine the effectiveness of a highly promoted Web-based smoking cessation intervention to promote quit behavior over time, identify the most effective features, and understand who is most likely to use those features by using unweighted and weighted analyses to estimate the impact in the broader pool of registered site users.

Methods

A sample of 1033 new adult registrants was recruited from a Web-based smoking cessation intervention by using an automated study management system. Abstinence was assessed by self-report through a mixed-mode follow-up (online survey with telephone follow-up for nonrespondents) at 1, 3, and 6 months. Software tracked respondents’ online activity. Generalized estimating equations (GEE) were used to examine predictors of website utilization and how utilization promoted abstinence using unweighted and weighted data.

Results

The 7-day point prevalence abstinence rates at 6 months ranged from 20.68% to 11.13% in the responder and intent-to-treat samples, respectively. Predictors of abstinence in unweighted analyses included number of visits to the website as well as accessing specific interactive or engaging features. In weighted analyses, only number of visits was predictive of abstinence. Motivation to quit was a key predictor of website utilization, whereas negative partner support decreased the likelihood of increasing visits or accessing engaging features.

Conclusions

Engagement is critical to promoting smoking cessation. The next generation of Web-based smoking cessation interventions needs to maximize the initial engagement of all new visitors and work to retain those smokers who proceed to register on the site.

Interventions for recruiting smokers into cessation programmes

BACKGROUND

Tobacco control is a top public health priority around the globe due to the high prevalence of cigarette smoking and its associated morbidity and mortality. Much effort has been focused on establishing the effectiveness of different smoking cessation strategies. This review, however, aims to address the initial challenge faced by smoking cessation programmes: recruitment of smokers.

OBJECTIVES

The primary objective of this review was to determine the effectiveness of different strategies for recruiting smokers into cessation programmes. The secondary objective was to determine the impact that these strategies had on smoking cessation rates at least six months after enrolment into a cessation programme.

SEARCH METHODS

We searched the specialised register of the Cochrane Tobacco Addiction Group using a search strategy which included the terms ('recruit$', 'invit$', 'enter', 'entry', 'enrolment') combined with ('smok$', 'cigarette', 'smoking cessation', 'tobacco') in the title, abstract or keyword fields. We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), and registers of current and ongoing trials. We also searched the reference lists of included studies.

SELECTION CRITERIA

We included randomised controlled trials and cluster randomised controlled trials that compared at least two different methods of recruiting current smokers into a smoking cessation programme. We also included those studies which focused on the effectiveness of a smoking cessation programme as long as the study involved multiple recruitment methods and reported results of the recruitment phase.

DATA COLLECTION AND ANALYSIS

From each included study, we extracted data on the type of participants, type of recruitment strategies (i.e., setting, mode of communication used, intensity and duration) and comparisons, and on randomisation, allocation concealment, and blinding procedures.Our primary outcome was the proportion of smokers successfully recruited to each cessation programme compared to alternative modalities of recruitment. Our secondary outcome was smoking cessation for at least six months. Given the substantial heterogeneity across recruitment interventions and participants, we adopted a narrative synthesis approach for summarising results.

MAIN RESULTS

This review includes 19 studies with a total of 14,890 participants. We categorised the included studies according to the modes used to deliver the recruitment strategy: head to head comparison of individual recruitment strategies; comparison of the same delivery mode but with different content or intensity; and the addition of another mode to an existing recruitment method.We identified three studies that made head-to-head comparisons of different types of recruitment strategies. Of these, only one study detected a significant effect, finding that a personal phone call was more effective than a generic invitation letter (RR 40.73, 95% CI 2.53 to 654.74). Five studies compared interventions using the same delivery modes but different content. Results showed that tailored messages through an interactive voice response system resulted in a higher recruitment rate than assessment of smoking status alone using the same system (RR 8.64, 95% CI 4.41 to 16.93), and that text messages indicating scarcity of places available were more effective than generic text message reminders (RR 1.45, 95% CI 1.07 to 1.96). One study compared interventions using the same delivery mode but different intensity and found that allowing for more phone call attempts to reach potential participants can result in better recruitment (RR 1.87, 95% CI 1.61 to 2.18). Finally, 10 studies investigated the effect of adding a recruitment mode to existing recruitment strategies. Findings showed that: adding a text message reminder or real quotes from participants to a personal phone call improved recruitment of participants (RR 3.38, 95% CI 1.26 to 9.08 and RR 29.07, 95% CI 1.74 to 485.70, respectively); that adding a personal phone call to an existing newsletter can also increase recruitment rates (RR 65.12, 95% CI 4.06 to 1045.4]); that a reactive-proactive recruitment phase is more effective than a proactive phase alone (63.8% versus 47.5%, RR not available); and that active recruitment at schools is more effective than passive recruitment (p < 0.001, denominator not available for calculation of RR). Additionally, a number of studies in this category showed that providing incentives can effectively increase the number of participants recruited into smoking cessation programmes.Out of the 19 included studies, only four reported on the effect of recruitment strategy on smoking cessation at six months or longer. Three of these studies compared strategies that used the same delivery mode with different content. Their results were non-significant. The remaining three studies evaluated adding an additional mode to an existing recruitment intervention. Only one of them showed a significant difference in the levels of smoking cessation that favoured the enhanced recruitment strategy, but this may have reflected the offer of incentives once in the programme rather than the recruitment strategy itself (RR at 15 or 18 months 2.60, 95% CI 1.48 to 4.56).

AUTHORS' CONCLUSIONS

The substantial heterogeneity across the included studies restricts our ability to draw firm conclusions about the effectiveness of different recruitment strategies in relation to recruitment of participants into smoking cessation programmes or levels of smoking cessation. The limited evidence, however, suggests that the following elements may improve the recruitment of smokers into cessation programmes: personal, tailored interventions; recruitment methods that are proactive in nature; and more intensive recruitment strategies (i.e., those strategies that require increased contact with potential participants).

Can multiple lifestyle behaviours be improved in people with familial hypercholesterolemia? Results of a parallel randomised controlled trial

OBJECTIVE

To evaluate the efficacy of an individualised tailored lifestyle intervention on physical activity, dietary intake, smoking and compliance to statin therapy in people with Familial Hypercholesterolemia (FH).

METHODS

Adults with FH (n = 340) were randomly assigned to a usual care control group or an intervention group. The intervention consisted of web-based tailored lifestyle advice and face-to-face counselling. Physical activity, fat, fruit and vegetable intake, smoking and compliance to statin therapy were self-reported at baseline and after 12 months. Regression analyses were conducted to examine between-group differences. Intervention reach, dose and fidelity were assessed.

RESULTS

In both groups, non-significant improvements in all lifestyle behaviours were found. Post-hoc analyses showed a significant decrease in saturated fat intake among women in the intervention group (β = -1.03; CI -1.98/-0.03). In the intervention group, 95% received a log on account, of which 49% logged on and completed one module. Nearly all participants received face-to-face counselling and on average, 4.2 telephone booster calls. Intervention fidelity was low.

CONCLUSIONS

Individually tailored feedback is not superior to no intervention regarding changes in multiple lifestyle behaviours in people with FH. A higher received dose of computer-tailored interventions should be achieved by uplifting the website and reducing the burden of screening questionnaires. Counsellor training should be more extensive.

TRIAL REGISTRATION

Dutch Trial Register NTR1899.

A pilot study of StopAdvisor: a theory-based interactive internet-based smoking cessation intervention aimed across the social spectrum

BACKGROUND

This article reports a pilot study of a new smoking cessation website ('StopAdvisor'), which has been developed on the basis of PRIME theory, evidence, web-design expertise and user-testing. The aims were to i) evaluate whether cessation, website usage and satisfaction were sufficiently high to warrant a randomised controlled trial (RCT) and ii) assess whether outcomes were affected by socio-economic status.

METHODS

This was an uncontrolled pilot study. Two hundred and four adult daily smokers willing to make a serious quit attempt were included. All participants received support from 'StopAdvisor', which recommends a structured quit plan and a variety of evidence-based behaviour change techniques for smoking cessation. A series of tunnelled sessions and a variety of interactive menus provide tailored support for up to a month before quitting through until one-month post-quit (http://www.lifeguideonline.org/player/play/stopadvisordemonstration). The primary outcome was self-report of at least 1month of continuous abstinence collected at 2months post-enrolment and verified by saliva cotinine or anabasine. Usage was indexed by log-ins and page views. Satisfaction was assessed by dichotomous ratings of helpfulness, personal relevance, likelihood of recommendation and future use, which were collected using an online questionnaire at 2months post-enrolment. Outcomes according to socio-economic status were assessed.

RESULTS

At 8weeks post-enrolment, 19.6% (40/204) of participants were abstinent according to the primary outcome criteria (95% C.I.=14.1% to 25.1%). Participants viewed a mean of 133.5 pages (median=71.5) during 6.4 log-ins (median=3). A majority of respondents rated the website positively on each of the four satisfaction `ratings (range=66.7% to 75.3%). There was no evidence of an effect of socio-economic status on abstinence (OR=1.01, C.I.=0.50-2.07), usage (page-views, t(202)=0.11, p=.91; log-ins, t(202)=0.21, p=.83), or satisfaction (helpfulness, OR=1.09, C.I.=0.41-2.88; personal relevance, OR=0.55, C.I.=0.20-1.56; recommendation, OR=0.98, C.I.=0.34-2.81; use in future, OR=1.45, C.I.=0.49-4.27).

CONCLUSIONS

The systematic application of theory, evidence, web-design expertise, and user-testing has resulted in a website that shows sufficiently promising efficacy and usability to warrant evaluation in a RCT. The website appears to be similarly effective and acceptable to users across the social spectrum.

Effectiveness of web-based tailored smoking cessation advice reports (iQuit): a randomized trial

AIMS

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.

Digitization and its futuristic approach in prosthodontics

Digitization has become part and parcel of the contemporary prosthodontics with the probability of most of the procedures being based on the digital techniques in near future. Let us think of X-rays or photographs, making impressions, recording jaw movements or fabricating prosthesis, educating and training new dentists or patient motivation for practice build up, all has become digital. CAD-CAM has revolutionized not just the ceramic technology but has also been used for the CAD-CAM implant surgeries, maxillofacial prosthesis and diagnostic splints. Today a practicing dentist needs to be abreast with the latest but with the technology changing so fast, this poses a great challenge. There is endless scope of digitisation and technology in prosthodontics- let it be in the clinical and lab procedures like use of CAD-CAM technology, stereolithography, rapid prototyping, use of virtual articulators and digital face bows, digital radiographs, or in the field of training, education and research by the use of virtual patient programs, dental softwares, optoelectronic recording of jaw motion, digital instron machine, retention testing device, audiovisual aids,… the list will remain endless. The article reviews those various aspects of prosthodontics where digitization has modified the conventional procedures. For discussion they have been considered under the educational aspect, diagnostics, treatment procedures, prosthesis fabrication and lastly the research and futuristic development. The day is not far when remote sensing robotic devices would be performing the restorations under the command and surveillance of the master-the dentist without his immediate presence.

Pharmacological interventions for promoting smoking cessation during pregnancy

BACKGROUND

Smoking in pregnancy is a substantial public health problem. When used by non-pregnant smokers, pharmacotherapies [nicotine replacement therapy (NRT), bupropion and varenicline] are effective treatments for smoking cessation, however, their efficacy and safety in pregnancy remains unknown.

OBJECTIVES

To determine the efficacy and safety of smoking cessation pharmacotherapies, including NRT, varenicline and bupropion (or any other medications) when used to support smoking cessation in pregnancy.

SEARCH METHODS

We searched the Pregnancy and Childbirth Group's Trials Register (5 March 2012), checked references of retrieved studies and contacted authors in the field.

SELECTION CRITERIA

Randomised controlled trials (RCTs) with designs that permit the independent effects of any type of NRT (e.g. patch, gum etc.) or any other pharmacotherapy on smoking cessation to be ascertained were eligible for inclusion. Trials must provide very similar (ideally identical) levels of behavioural support or cognitive behaviour therapy (CBT) to participants in active drug and comparator trial arms.The following RCT designs are considered acceptable.Placebo RCTs: any form of NRT or other pharmacotherapy, with or without behavioural support/CBT, or brief advice compared with placebo NRT and additional support of similar intensity.RCTs providing a comparison between i) behavioural support/CBT or brief advice and ii) any form of NRT or other pharmacotherapy added to behavioural support of similar (ideally identical) intensity.Parallel- or cluster-randomised design trials are eligible for inclusion. However, quasi-randomised, cross-over and within-participant designs are not eligible for inclusion due to the potential biases associated with these designs.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trials for inclusion and risk of bias and extracted data. Two assessors independently extracted data and cross checked individual outcomes of this process to ensure accuracy. The primary efficacy outcome was smoking cessation in later pregnancy (in all but one trial, at or around delivery); safety was assessed by seven birth outcomes that indicated neonatal well being and we also collated data on adherence.

MAIN RESULTS

Six trials of NRT enrolling 1745 pregnant smokers were included; we found no trials of varenicline or bupropion. No statistically significant difference was seen for smoking cessation in later pregnancy after using NRT as compared to control (risk ratio (RR) 1.33, 95% confidence interval (CI) 0.93 to 1.91, six studies, 1745 women). Subgroup analysis comparing placebo-RCTs with those which did not use placebos found that efficacy estimates for cessation varied with trial design (placebo RCTs, RR 1.20, 95% CI 0.93 to 1.56, four studies, 1524 women; non-placebo RCTs, RR 7.81, 95% CI 1.51 to 40.35, two studies, 221 women; P value for random-effects subgroup interaction test = 0.03). There were no statistically significant differences in rates of miscarriage, stillbirth, premature birth, birthweight, low birthweight, admissions to neonatal intensive care or neonatal death between NRT or control groups.

AUTHORS' CONCLUSIONS

Nicotine replacement therapy is the only pharmacotherapy for smoking cessation that has been tested in RCTs conducted in pregnancy. There is insufficient evidence to determine whether or not NRT is effective or safe when used to promote smoking cessation in pregnancy or to determine whether or not using NRT has positive or negative impacts on birth outcomes. Further research evidence of efficacy and safety is needed, ideally from placebo-controlled RCTs that investigate higher doses of NRT than were tested in the included studies.

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' (see http://www.lifeguideonline.org/player/play/stopadvisordemonstration). The systematic and transparent application of theory, evidence, web-design expertise and user-testing within an open-source development platform can provide a basis for multi-phase optimisation contributing to an 'incremental technology' of behaviour change.

Protocol of a randomized controlled trial of the Tobacco Tactics website for operating engineers

BACKGROUND

Recent research indicates that 35 percent of blue-collar workers in the US currently smoke while only 20 percent of white-collar workers smoke. Over the last year, we have been working with heavy equipment operators, specifically the Local 324 Training Center of the International Union of Operating Engineers, to study the epidemiology of smoking, which is 29% compared to 21% among the general population. For the current study funded by the National Cancer Institute (1R21CA152247-01A1), we have developed the Tobacco Tactics website which will be compared to the state supported 1-800-QUIT-NOW telephone line. Outcome evaluation will compare those randomized to the Tobacco Tactics web-based intervention to those randomized to the 1-800-QUIT-NOW control condition on: a) 30-day and 6-month quit rates; b) cotinine levels; c) cigarettes smoked/day; d) number of quit attempts; and e) nicotine addiction. Process evaluation will compare the two groups on the: a) contacts with intervention; b) medications used; c) helpfulness of the nurse/coach; and d) willingness to recommend the intervention to others.

METHODS/DESIGN

This will be a randomized controlled trial (N = 184). Both interventions will be offered during regularly scheduled safety training at Local 324 Training Center of the International Union of Operating Engineers and both will include optional provision of over-the-counter nicotine replacement therapy and the same number of telephone contacts. However, the Tobacco Tactics website has graphics tailored to Operating Engineers, tailored cessation feedback from the website, and follow up nurse counseling offered by multimedia options including phone and/or email, and/or e-community. Primary Analysis of Aim 1 will be conducted by using logistic regression to compare smoking habits (e.g., quit rates) of those in the intervention arm to those in the control arm. Primary analyses for Aim 2 will compare process measures (e.g., medications used) between the two groups by linear, logistic, and Poisson regression.

DISCUSSION

Dissemination of an efficacious work-site, web-based smoking cessation intervention has the potential to substantially impact cancer rates among this population. Based on the outcome of this smaller study, wider scale testing in conjunction with the International Environment Technology Testing Center which services Operating Engineers across North America (including US, Mexico, and Canada) will be conducted.

TRIAL REGISTRATION

NCT01124110.

Interventions to increase smoking cessation at the population level: how much progress has been made in the last two decades?

This paper reviews the literature on smoking cessation interventions, with a focus on the last 20 years (1991 to 2010). These two decades witnessed major development in a wide range of cessation interventions, from pharmacotherapy to tobacco price increases. It was expected that these interventions would work conjointly to increase the cessation rate on the population level. This paper examines population data from the USA, from 1991 to 2010, using the National Health Interview Surveys. Results indicate there is no consistent trend of increase in the population cessation rate over the last two decades. Various explanations are presented for this lack of improvement, and the key concept of impact = effectiveness × reach is critically examined. Finally, it suggests that the field of cessation has focused so much on developing and promoting interventions to improve smokers' odds of success that it has largely neglected to investigate how to get more smokers to try to quit and to try more frequently. Future research should examine whether increasing the rate of quit attempts would be key to improving the population cessation rate.

Developing health promotion interventions on social networking sites: recommendations from The FaceSpace Project

Online social networking sites offer a novel setting for the delivery of health promotion interventions due to their potential to reach a large population and the possibility for two-way engagement. However, few have attempted to host interventions on these sites, or to use the range of interactive functions available to enhance the delivery of health-related messages. This paper presents lessons learnt from “The FaceSpace Project”, a sexual health promotion intervention using social networking sites targeting two key at-risk groups. Based on our experience, we make recommendations for developing and implementing health promotion interventions on these sites. Elements crucial for developing interventions include establishing a multidisciplinary team, allowing adequate time for obtaining approvals, securing sufficient resources for building and maintaining an online presence, and developing an integrated process and impact evaluation framework. With two-way interaction an important and novel feature of health promotion interventions in this medium, we also present strategies trialled to generate interest and engagement in our intervention. Social networking sites are now an established part of the online environment; our experience in developing and implementing a health promotion intervention using this medium are of direct relevance and utility for all health organizations creating a presence in this new environment.