Proactive interventions for smoking cessation in general medical practice: a quasi-randomized controlled trial to examine the efficacy of computer-tailored letters and physician-delivered brief advice

Do in-person and computer-based brief alcohol interventions reduce tobacco smoking among general hospital patients? Secondary outcomes from a randomized controlled trial

BACKGROUND

At-risk alcohol use and tobacco smoking often co-occur. We investigated whether brief alcohol interventions (BAIs) among general hospital patients with at-risk alcohol use may also reduce tobacco smoking over 2 years. We also investigated whether such effects vary by delivery mode; i.e. in-person versus computer-based BAI.

METHODS

A proactively recruited sample of 961 general hospital patients with at-risk alcohol use aged 18 to 64 years was allocated to three BAI study groups: in-person BAI, computer-based BAI, and assessment only. In-person- and computer-based BAI included motivation-enhancing intervention contacts to reduce alcohol use at baseline and 1 and 3 months later. Follow-ups were conducted after 6, 12, 18 and 24 months. A two-part latent growth model, with self-reported smoking status (current smoking: yes/no) and number of cigarettes in smoking participants as outcomes, was estimated.

RESULTS

Smoking participants in computer-based BAI smoked fewer cigarettes per day than those assigned to assessment only at month 6 (meannet change = - 0.02; 95% confidence interval = - 0.08-0.00). After 2 years, neither in-person- nor computer-based BAI significantly changed smoking status or number of cigarettes per day in comparison to assessment only or to each other (ps ≥ 0.23).

CONCLUSIONS

While computer-based BAI also resulted in short-term reductions of number of cigarettes in smoking participants, none of the two BAIs were sufficient to evoke spill-over effects on tobacco smoking over 2 years. For long-term smoking cessation effects, multibehavioural interventions simultaneously targeting tobacco smoking along with at-risk alcohol use may be more effective.

TRIAL REGISTRATION NUMBER

NCT01291693.

Patient motivation and preferences in changing co-occurring health risk behaviors in general hospital patients

OBJECTIVES

More than 60% of general hospital patients report ≥ 2 health risk behaviors (HRBs), i.e. tobacco smoking, at-risk alcohol use, unhealthy diet, and/or insufficient physical activity. This study investigates a) the association between numbers of HRBs and motivation to change, b) patient preferences for receiving feedback on HRBs, and c) patients' expected gain in quality of life if behavior change made.

METHODS

In 2020/2021, 256 18-64-year-old general hospital patients (72.1% of eligibles) reported on their motivation to change each of their HRBs. Associations between HRB number and motivation were assessed using multivariate linear regressions. Participants ranked HRBs concerning their interest in receiving feedback and concerning their expected gain in quality of life if behavior change occurred.

RESULTS

Higher HRB number was negatively related to motivation among at-risk alcohol users (p = 0.034); 24.6% expected gain in their quality of life from behavior change. Participants overall appeared more favorable to feedback about vegetable/fruit intake and physical activity.

CONCLUSIONS

Unhealthier lifestyle may be accompanied by decreased motivation to change in at-risk alcohol users. In case of co-occurring HRBs, asking patients for expected gain in quality of life may help guiding intervention target.

PRACTICE IMPLICATIONS

Relying on patient selection only, may often leave substance-use unaddressed.

Proactive automatised lifestyle intervention (PAL) in general hospital patients: study protocol of a single-group trial

INTRODUCTION

The co-occurrence of health risk behaviours (HRBs, ie, tobacco smoking, at-risk alcohol use, insufficient physical activity and unhealthy diet) increases the risks of cancer, other chronic diseases and mortality more than additively; and applies to more than half of adult general populations. However, preventive measures that target all four HRBs and that reach the majority of the target populations, particularly those persons most in need and hard to reach are scarce. Electronic interventions may help to efficiently address multiple HRBs in healthcare patients. The aim is to investigate the acceptance of a proactive and brief electronic multiple behaviour change intervention among general hospital patients with regard to reach, retention, equity in reach and retention, satisfaction and changes in behaviour change motivation, HRBs and health.

METHODS AND ANALYSIS

A pre-post intervention study with four time points is conducted at a general hospital in Germany. All patients, aged 18-64 years, admitted to participating wards of five medical departments (internal medicine A and B, general surgery, trauma surgery, ear, nose and throat medicine) are systematically approached and invited to participate. Based on behaviour change theory and individual HRB profile, 175 participants receive individualised and motivation-enhancing computer-generated feedback at months 0, 1 and 3. Intervention reach and retention are determined by the proportion of participants among eligible patients and of participants who continue participation, respectively. Equity in reach and retention are measured with regard to school education and other sociodemographics. To investigate satisfaction with the intervention and subsequent changes, a 6-month follow-up is conducted. Descriptive statistics, multivariate regressions and latent growth modelling are applied.

ETHICS AND DISSEMINATION

The local ethics commission and data safety appointee approved the study procedures. Results will be disseminated via publication in international scientific journals and presentations on scientific conferences.

TRIAL REGISTRATION NUMBER

NCT05365269.

Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial

Background: Health recommender systems (HRSs) are intelligent systems that can be used to tailor digital health interventions. We compared two HRSs to assess their impact providing smoking cessation support messages. Methods: Smokers who downloaded a mobile app to support smoking abstinence were randomly assigned to two interventions. They received personalized, ratable motivational messages on the app. The first intervention had a knowledge-based HRS (n = 181): it selected random messages from a subset matching the users’ demographics and smoking habits. The second intervention had a hybrid HRS using collective intelligence (n = 190): it selected messages applying the knowledge-based filter first, and then chose the ones with higher ratings provided by other similar users in the system. Both interventions were compared on: (a) message appreciation, (b) engagement with the system, and (c) one’s own self-reported smoking cessation status, as indicated by the last seven-day point prevalence report in different time intervals during a period of six months. Results: Both interventions had similar message appreciation, number of rated messages, and abstinence results. The knowledge-based HRS achieved a significantly higher number of active days, number of abstinence reports, and better abstinence results. The hybrid algorithm led to more quitting attempts in participants who completed their user profiles.

Strategies to improve smoking cessation rates in primary care

BACKGROUND

Primary care is an important setting in which to treat tobacco addiction. However, the rates at which providers address smoking cessation and the success of that support vary. Strategies can be implemented to improve and increase the delivery of smoking cessation support (e.g. through provider training), and to increase the amount and breadth of support given to people who smoke (e.g. through additional counseling or tailored printed materials).

OBJECTIVES

To assess the effectiveness of strategies intended to increase the success of smoking cessation interventions in primary care settings. To assess whether any effect that these interventions have on smoking cessation may be due to increased implementation by healthcare providers.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialized Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and trial registries to 10 September 2020.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs (cRCTs) carried out in primary care, including non-pregnant adults. Studies investigated a strategy or strategies to improve the implementation or success of smoking cessation treatment in primary care. These strategies could include interventions designed to increase or enhance the quality of existing support, or smoking cessation interventions offered in addition to standard care (adjunctive interventions). Intervention strategies had to be tested in addition to and in comparison with standard care, or in addition to other active intervention strategies if the effect of an individual strategy could be isolated. Standard care typically incorporates physician-delivered brief behavioral support, and an offer of smoking cessation medication, but differs across studies. Studies had to measure smoking abstinence at six months' follow-up or longer.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Our primary outcome - smoking abstinence - was measured using the most rigorous intention-to-treat definition available. We also extracted outcome data for quit attempts, and the following markers of healthcare provider performance: asking about smoking status; advising on cessation; assessment of participant readiness to quit; assisting with cessation; arranging follow-up for smoking participants. Where more than one study investigated the same strategy or set of strategies, and measured the same outcome, we conducted meta-analyses using Mantel-Haenszel random-effects methods to generate pooled risk ratios (RRs) and 95% confidence intervals (CIs).

MAIN RESULTS

We included 81 RCTs and cRCTs, involving 112,159 participants. Fourteen were rated at low risk of bias, 44 at high risk, and the remainder at unclear risk. We identified moderate-certainty evidence, limited by inconsistency, that the provision of adjunctive counseling by a health professional other than the physician (RR 1.31, 95% CI 1.10 to 1.55; I2 = 44%; 22 studies, 18,150 participants), and provision of cost-free medications (RR 1.36, 95% CI 1.05 to 1.76; I2 = 63%; 10 studies,7560 participants) increased smoking quit rates in primary care. There was also moderate-certainty evidence, limited by risk of bias, that the addition of tailored print materials to standard smoking cessation treatment increased the number of people who had successfully stopped smoking at six months' follow-up or more (RR 1.29, 95% CI 1.04 to 1.59; I2 = 37%; 6 studies, 15,978 participants). There was no clear evidence that providing participants who smoked with biomedical risk feedback increased their likelihood of quitting (RR 1.07, 95% CI 0.81 to 1.41; I2 = 40%; 7 studies, 3491 participants), or that provider smoking cessation training (RR 1.10, 95% CI 0.85 to 1.41; I2 = 66%; 7 studies, 13,685 participants) or provider incentives (RR 1.14, 95% CI 0.97 to 1.34; I2 = 0%; 2 studies, 2454 participants) increased smoking abstinence rates. However, in assessing the former two strategies we judged the evidence to be of low certainty and in assessing the latter strategies it was of very low certainty. We downgraded the evidence due to imprecision, inconsistency and risk of bias across these comparisons. There was some indication that provider training increased the delivery of smoking cessation support, along with the provision of adjunctive counseling and cost-free medications. However, our secondary outcomes were not measured consistently, and in many cases analyses were subject to substantial statistical heterogeneity, imprecision, or both, making it difficult to draw conclusions. Thirty-four studies investigated multicomponent interventions to improve smoking cessation rates. There was substantial variation in the combinations of strategies tested, and the resulting individual study effect estimates, precluding meta-analyses in most cases. Meta-analyses provided some evidence that adjunctive counseling combined with either cost-free medications or provider training enhanced quit rates when compared with standard care alone. However, analyses were limited by small numbers of events, high statistical heterogeneity, and studies at high risk of bias. Analyses looking at the effects of combining provider training with flow sheets to aid physician decision-making, and with outreach facilitation, found no clear evidence that these combinations increased quit rates; however, analyses were limited by imprecision, and there was some indication that these approaches did improve some forms of provider implementation.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that providing adjunctive counseling by an allied health professional, cost-free smoking cessation medications, and tailored printed materials as part of smoking cessation support in primary care can increase the number of people who achieve smoking cessation. There is no clear evidence that providing participants with biomedical risk feedback, or primary care providers with training or incentives to provide smoking cessation support enhance quit rates. However, we rated this evidence as of low or very low certainty, and so conclusions are likely to change as further evidence becomes available. Most of the studies in this review evaluated smoking cessation interventions that had already been extensively tested in the general population. Further studies should assess strategies designed to optimize the delivery of those interventions already known to be effective within the primary care setting. Such studies should be cluster-randomized to account for the implications of implementation in this particular setting. Due to substantial variation between studies in this review, identifying optimal characteristics of multicomponent interventions to improve the delivery of smoking cessation treatment was challenging. Future research could use component network meta-analysis to investigate this further.

Sick days in general hospital patients two years after brief alcohol intervention: Secondary outcomes from a randomized controlled trial

Little is known about the long-term impact of brief alcohol interventions (BAIs) on health and on sick days in particular. The aim was to investigate whether BAIs reduce sick days in general hospital patients over two years, and whether effects depend on how BAIs are delivered; either through in-person counseling (PE) or computer-generated written feedback (CO). To investigate this, secondary outcome data from a three-arm randomized controlled trial with 6-, 12-, 18- and 24-month follow-ups were used. The sample included 960 patients (18-64 years) with at-risk alcohol use identified through systematic screening on 13 hospital wards. Patients with particularly severe alcohol problems were excluded. Participants were allocated to PE, CO and assessment only (AO). Both interventions were tailored according to behavior change theory and included three contacts. Self-reported number of sick days in the past 6 months was assessed at all time-points. A zero-inflated negative binomial latent growth model adjusted for socio-demographics, substance use related variables and medical department was calculated. In comparison to AO, PE (OR = 2.18, p = 0.047) and CO (OR = 2.08, p = 0.047) resulted in statistically significant increased odds of reporting no sick days 24 months later. Differences between PE and CO, and concerning sick days when any reported, were non-significant. This study provides evidence for the long-term efficacy of BAIs concerning health, and concerning sick days in particular. BAIs have the potential to reduce the occurrence of sick days over 2 years, independent of whether they are delivered through in-person counseling or computer-generated written feedback.

Effectiveness of training general practitioners to improve the implementation of brief stop-smoking advice in German primary care: study protocol of a pragmatic, 2-arm cluster randomised controlled trial (the ABCII trial)

Background

The German clinical guideline on tobacco addiction recommends that general practitioners (GPs) provide brief stop-smoking advice to their patients according to the “5A” or the much briefer “ABC” method, but its implementation is insufficient. A lack of training is one barrier for GPs to provide such advice. Moreover, the respective effectiveness of a 5A or ABC training regarding subsequent delivery of stop-smoking advice has not been investigated. We developed a training for GPs according to both methods, and conducted a pilot study with process evaluation to optimize the trainings according to the needs of GPs. This study aims at evaluating the effectiveness of both trainings.

Methods

A pragmatic 2-arm cluster randomised controlled trial with a pre-post data collection will be conducted in 48 GP practices in North Rhine-Westphalia (Germany). GPs will be randomised to receive a 3.5-h-training in delivering either 5A or ABC, including peer coaching and intensive role plays with professional actors. The patient-reported primary outcome (receipt of GP advice to quit: yes/no) and secondary outcomes (recommendation rates of smoking cessation treatments, group comparison (5A versus ABC): receipt of GP advice to quit) will be collected in smoking patients routinely consulting their GP within 4 weeks prior, and 4 weeks following the training. Additional secondary outcomes will be collected at 4, 12 and 26 weeks following the consultation: use of cessation treatments during the last quit attempt (if so) since the GP consultation, and point-prevalence abstinence rates. The primary data analysis will be conducted using a mixed-effects logistic regression model with random effects for the cluster variable.

Discussion

If the training increases the rates of delivery of stop-smoking advice, it would offer a low-threshold strategy for the guideline implementation in German primary care. Should one method prove superior, a more specific guideline recommendation can be proposed.

Trial registration

German Clinical Trials Register (DRKS00012786); registered on 22th August 2017, prior to the first patient in.

Electronic supplementary material

The online version of this article (10.1186/s12875-019-0986-8) contains supplementary material, which is available to authorized users.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials that provide a structured programme for smokers to follow may increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine the effectiveness of different forms of print-based self-help materials that provide a structured programme for smokers to follow, compared with no treatment and with other minimal contact strategies, and to determine the comparative effectiveness of different components and characteristics of print-based self-help, such as computer-generated feedback, additional materials, tailoring of materials to individuals, and targeting of materials at specific groups.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Trials Register, ClinicalTrials.gov, and the International Clinical Trials Registry Platform (ICTRP). The date of the most recent search was March 2018.

SELECTION CRITERIA

We included randomised trials of smoking cessation with follow-up of at least six months, where at least one arm tested print-based materials providing self-help compared with minimal print-based self-help (such as a short leaflet) or a lower-intensity control. We defined 'self-help' as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in accordance with standard methodological procedures set out by Cochrane. The main outcome measure was abstinence from smoking after at least six months' follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each study and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a random-effects model.

MAIN RESULTS

We identified 75 studies that met our inclusion criteria. Many study reports did not include sufficient detail to allow judgement of risk of bias for some domains. We judged 30 studies (40%) to be at high risk of bias for one or more domains.Thirty-five studies evaluated the effects of standard, non-tailored self-help materials. Eleven studies compared self-help materials alone with no intervention and found a small effect in favour of the intervention (n = 13,241; risk ratio (RR) 1.19, 95% confidence interval (CI) 1.03 to 1.37; I² = 0%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for indirect relevance to populations in low- and middle-income countries because evidence for this comparison came from studies conducted solely in high-income countries and there is reason to believe the intervention might work differently in low- and middle-income countries. This analysis excluded two studies by the same author team with strongly positive outcomes that were clear outliers and introduced significant heterogeneity. Six further studies of structured self-help compared with brief leaflets did not show evidence of an effect of self-help materials on smoking cessation (n = 7023; RR 0.87, 95% CI 0.71 to 1.07; I² = 21%). We found evidence of benefit from standard self-help materials when there was brief contact that did not include smoking cessation advice (4 studies; n = 2822; RR 1.39, 95% CI 1.03 to 1.88; I² = 0%), but not when self-help was provided as an adjunct to face-to-face smoking cessation advice for all participants (11 studies; n = 5365; RR 0.99, 95% CI 0.76 to 1.28; I² = 32%).Thirty-two studies tested materials tailored for the characteristics of individual smokers, with controls receiving no materials, or stage-matched or non-tailored materials. Most of these studies used more than one mailing. Pooling studies that compared tailored self-help with no self-help, either on its own or compared with advice, or as an adjunct to advice, showed a benefit of providing tailored self-help interventions (12 studies; n = 19,190; RR 1.34, 95% CI 1.20 to 1.49; I² = 0%) with little evidence of difference between subgroups (10 studies compared tailored with no materials, n = 14,359; RR 1.34, 95% CI 1.19 to 1.51; I² = 0%; two studies compared tailored materials with brief advice, n = 2992; RR 1.13, 95% CI 0.86 to 1.49; I² = 0%; and two studies evaluated tailored materials as an adjunct to brief advice, n = 1839; RR 1.72, 95% CI 1.17 to 2.53; I² = 10%). When studies compared tailored self-help with non-tailored self-help, results favoured tailored interventions when the tailored interventions involved more mailings than the non-tailored interventions (9 studies; n = 14,166; RR 1.42, 95% CI 1.20 to 1.68; I² = 0%), but not when the two conditions were contact-matched (10 studies; n = 11,024; RR 1.07, 95% CI 0.89 to 1.30; I² = 50%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for risk of bias.Five studies evaluated self-help materials as an adjunct to nicotine replacement therapy; pooling three of these provided no evidence of additional benefit (n = 1769; RR 1.05, 95% CI 0.86 to 1.30; I² = 0%). Four studies evaluating additional written materials favoured the intervention, but the lower confidence interval crossed the line of no effect (RR 1.20, 95% CI 0.91 to 1.58; I² = 73%). A small number of other studies did not detect benefit from using targeted materials, or find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Moderate-certainty evidence shows that when no other support is available, written self-help materials help more people to stop smoking than no intervention. When people receive advice from a health professional or are using nicotine replacement therapy, there is no evidence that self-help materials add to their effect. However, small benefits cannot be excluded. Moderate-certainty evidence shows that self-help materials that use data from participants to tailor the nature of the advice or support given are more effective than no intervention. However, when tailored self-help materials, which typically involve repeated assessment and mailing, were compared with untailored materials delivered similarly, there was no evidence of benefit.Available evidence tested self-help interventions in high-income countries, where more intensive support is often available. Further research is needed to investigate effects of these interventions in low- and middle-income countries, where more intensive support may not be available.

Subgroups Among Smokers in Preparation: A Cluster Analysis Using the I-Change Model

BACKGROUND

Investigating potential sub-stages of change could provide important information that could be used to improve the tailoring of smoking cessation interventions to individual smokers' profiles. Smokers in the preparation stage may be most interesting, as they are most likely to participate in smoking cessation interventions.

OBJECTIVE

To examine whether Dutch adult smokers in the preparation stage of change, i.e. motivated to quit smoking within one month, can be organized into subgroups.

METHODS

Data from 753 smokers who participated in an effectiveness trial of a web-based, computer-tailored smoking cessation programme were subjected to secondary analysis. Cluster analyses were based on respondents' baseline responses to items on pros and cons of quitting and quitting self-efficacy. Chi-squared tests and ANOVA were used to compare the baseline characteristics of the resulting clusters. Logistic and multinomial regression were used for longitudinal comparisons of clusters with respect to smoking abstinence and stage transition at six-week and six-month follow-ups.

RESULTS

Four clusters were identified; Classic, Unprepared, Progressing and Disengaged Preparers. Cross-sectional and longitudinal analyses validated these clusters: they differed with respect to the clustering variables, gender, cigarette dependence and educational level. Disengaged Preparers were less likely than Progressing Preparers to report smoking abstinence at six months (OR = 0.28; p < .05).

CONCLUSIONS

These results suggest that smoking cessation interventions tailored to the preparation stage of change, i.e. the set of cognitions usually present in preparers, are only appropriate for the subgroup we defined as Classic Preparers. The other clusters might need different interventions as they display different cognition sets.

Systematic Review of Clinician-Reported Barriers to Provision of Smoking Cessation Interventions in Hospital Inpatient Settings

Background: Although the hospital inpatient setting arguably provides an ideal opportunity to engage patients in smoking cessation interventions, this is done infrequently. We therefore aimed to systematically review the perceived barriers to the implementation of smoking cessation interventions in the hospital inpatient setting.

Methods: A systematic literature search was conducted specific to hospital-based healthcare workers’ perceived barriers to implementing smoking cessation interventions. Reported barriers were categorised using the capability, opportunity and motivation (COM-B) framework.

Results: Eighteen studies were selected for inclusion, which consisted of cross-sectional surveys and interviews. The most commonly identified barrier in capability was lack of knowledge (56% of studies); in Opportunity, it was a lack of time (78%); while in Motivation, a lack of perceived patient motivation to quit smoking (44%). Seventeen other barriers were also endorsed, but less frequently.

Conclusion: Healthcare workers report a plethora of barriers to providing smoking cessation interventions in hospital settings, which cover all aspects of the COM-B framework. These impediments need to be addressed in a multidisciplinary approach, at clinical, educational, and administrative levels, to improve intervention provision.

Feasibility and pilot efficacy of a brief smoking cessation intervention delivered by vascular surgeons in the Vascular Physician Offer and Report (VAPOR) Trial

BACKGROUND

This study determined the feasibility and potential efficacy of an evidence-based standardized smoking cessation intervention delivered by vascular surgeons to smokers with peripheral arterial disease.

METHODS

We performed a cluster-randomized trial of current adult smokers referred to eight vascular surgery practices from September 1, 2014, to July 31, 2015. A three-component smoking cessation intervention (physician advice, nicotine replacement therapy, and telephone-based quitline referral) was compared with usual care. The primary outcome was smoking cessation for 7 days, assessed 3 months after the intervention. Secondary outcomes were patients' nicotine dependence and health expectancies of smoking assessed using Patient Reported Outcomes Measurement Information System (PROMIS; RAND Corporation, Santa Monica, Calif).

RESULTS

We enrolled 156 patients (65 in four intervention practices, 91 in four control practices), and 141 (90.3%) completed follow-up. Patients in the intervention and control practices were similar in age (mean, 61 years), sex (68% male), cigarettes per day (mean, 14), and prior quit attempts (77%). All three components of the intervention were delivered to 75% of patients in intervention practices vs to 7% of patients at control practices (P < .001). At 3 months, 23 of 57 patients (40.3%) in the intervention group quit smoking (23 of 56 patients quit who completed follow-up, plus 1 death included in the analysis in the denominator as a smoker), and 26 of 84 patients (30.9%) In the control group quit smoking (26 patients of 84 who completed follow-up, including 2 deaths included in the denominator as smokers). This difference (40.3% quit rate in intervention, 31% quit rate in control; P = .250) was not statistically significant in crude analyses (P = .250) or analyses adjusted for clustering (P = .470). Multivariable analysis showed factors associated with smoking cessation were receipt of physician advice (odds ratio for cessation, 1.96; 95% confidence interval, 1.28-3.02; P < .002) and nicotine replacement therapy (odds ratio, 1.92; 95% confidence interval, 1.43-2.56; P < .001).

CONCLUSIONS

Implementation of a brief, surgeon-delivered smoking cessation intervention is feasible for patients with peripheral arterial disease. A larger trial will be necessary to determine whether this is effective for smoking cessation.

Health Benefits and Cost-Effectiveness of Brief Clinician Tobacco Counseling for Youth and Adults

PURPOSE

To help clinicians and care systems determine the priority for tobacco counseling in busy clinic schedules, we assessed the lifetime health and economic value of annually counseling youth to discourage smoking initiation and of annually counseling adults to encourage cessation.

METHODS

We conducted a microsimulation analysis to estimate the health impact and cost effectiveness of both types of tobacco counseling in a US birth cohort of 4,000,000. The model used for the analysis was constructed from nationally representative data sets and structured literature reviews.

RESULTS

Compared with no tobacco counseling, the model predicts that annual counseling for youth would reduce the average prevalence of smoking cigarettes during adult years by 2.0 percentage points, whereas annual counseling for adults will reduce prevalence by 3.8 percentage points. Youth counseling would prevent 42,686 smoking-attributable fatalities and increase quality-adjusted life years (QALYs) by 756,601 over the lifetime of the cohort. Adult counseling would prevent 69,901 smoking-attributable fatalities and increase QALYs by 1,044,392. Youth and adult counseling would yield net savings of $225 and $580 per person, respectively. If annual tobacco counseling was provided to the cohort during both youth and adult years, then adult smoking prevalence would be 5.5 percentage points lower compared with no counseling, and there would be 105,917 fewer smoking-attributable fatalities over their lifetimes. Only one-third of the potential health and economic benefits of counseling are being realized at current counseling rates.

CONCLUSIONS

Brief tobacco counseling provides substantial health benefits while producing cost savings. Both youth and adult intervention are high-priority uses of limited clinician time.

Motivating smokers to quit using computer-generated letters that target either reduction or cessation: A population-based randomized controlled trial among smokers who do not intend to quit

BACKGROUND

This study examined the long-term efficacy of individualized counseling letters that targeted either smoking abstinence or reducing the number of cigarettes smoked per day to promote future cessation.

METHODS

A nationwide random-digit-dialing telephone sample was used to identify smokers from the general adult population (participation proportion: 54.5%). In total, 1462 participants (48% female) who did not intend to quit within the next six months and who smoked ten or more cigarettes a day were randomized to one of two intervention groups or an assessment-only control condition. The interventions consisted of three tailored letters that were sent after baseline and follow-up assessments after three and six months. Follow-up data on smoking status were provided by 82% and 77% of the participants 12 and 24 months after study inclusion, respectively. Generalized estimation equation (GEE) models adjusted for potential baseline confounders and multiple imputation of missing follow-up data were used to estimate intervention effects.

RESULTS

At 24-month follow-up prevalence of 7-day point abstinence was 8.4%, 12.9% and 14.7% in the control, abstinence intervention and reduction intervention condition, which corresponds to a number needed to treat of 22 (95%-CI: 11-707) and 16 (95%-CI: 9-53). Adjusted GEE analyses revealed that the smoking reduction intervention (ORadj=2.3, p<0.01) but not the abstinence intervention (ORadj=1.4, p=0.20) increased the odds of 6-month prolonged abstinence compared with the control condition. No significant differences appear when directly comparing both intervention groups.

CONCLUSION

Smoking reduction should be considered as an alternative intervention goal for smokers who are unable or unwilling to quit.

Evidence from interventions based on theoretical models for lifestyle modification (physical activity, diet, alcohol and tobacco use) in primary care settings: A systematic review

OBJECTIVE

To determine the effectiveness of health promotion interventions based on theoretical models of behavioral change to modify the main lifestyle factors (physical activity, diet, alcohol and tobacco) in adults receiving primary health care (PHC).

METHODS

We searched the MEDLINE and Cochrane Database of Systematic Reviews from January 2000 to December 2012. Two reviewers independently performed the first screening of titles and abstracts, the methodological quality assessment using the lecturacritica.com tool, and the extraction of necessary data to systematize the available information.

RESULTS

Only few studies met the inclusion criteria (17 studies from 30 articles). Thirteen were randomized controlled trials, three systematic reviews, and one observational study. The transtheoretical model was the most frequent (13 studies), and obtained strong evidence of its effectiveness for dietary interventions in the short-term and for smoking cessation interventions in the long-term as compared to usual PHC practice. Limited evidence was found for smoking cessation interventions based in the social cognitive theory.

CONCLUSION

There are few studies that explicitly link intervention strategies and theories of behavioral change. A rigorous evaluation of the theoretical principles could help researchers and practitioners to understand how and why interventions succeed or fail.

Does stage tailoring matter in brief alcohol interventions for job-seekers? A randomized controlled trial

AIMS

To investigate whether or not a stage tailored intervention is more effective than a non-stage tailored intervention of the same intensity in reducing alcohol use among job-seekers with unhealthy alcohol use, and whether initial motivation to change is a moderator of efficacy.

DESIGN

A three-group randomized controlled trial with 3-, 6- and 15-month follow-ups.

SETTING

Three job agencies in Germany.

PARTICIPANTS

A total of 1243 job-seekers with unhealthy alcohol use were randomized to (i) stage tailored intervention based on the transtheoretical model of change (ST), (ii) non-stage tailored intervention based on the theory of planned behaviour (NST) and (iii) assessment only (controls). Participants received feedback letters and manuals at baseline and 3 months later.

MEASUREMENTS

Piecewise latent growth models were calculated measuring change in 'alcohol use' from baseline to month 3 (active intervention phase) and from months 3 to 15 (post-intervention phase, primary outcome). Motivation to change was included as a 4-point continuous measure.

FINDINGS

All groups reduced alcohol use from months 0 to 3 (controls: mean = -0.866, NST: mean = -0.883, ST: mean = -0.718, Ps ≤ 0.001). Post-intervention (months 3-15), low-motivated individuals in the ST group showed a greater reduction than those in the control group (β = 0.135, P = 0.039, Cohen's d = 0.42) and in the NST group (β = 0.180, P = 0.009, Cohen's d = 0.55). In contrast, compared to the ST group (β = 0.030, P = 0.361), alcohol use decreased more strongly with higher initial motivation in the NST group (β = -0.118, P = 0.010).

CONCLUSIONS

Among job-seekers with high levels of alcohol consumption, an intervention tailored to motivational 'stage of change' was more effective than a non-stage tailored intervention for reducing alcohol use 15 months after baseline assessment in participants with low initial motivation to change.

Cervical cancer screening and psychosocial barriers perceived by patients. A systematic review

Aim of the study

This study aimed at integrating research discussing the role of perceived psychosocial barriers in cervical cancer screening (CCS) uptake. In particular, we analyzed the evidence for the associations between CCS uptake and perceived psychosocial barriers and frequency of psychosocial barriers identified by women.

Material and methods

A systematic search of peer-reviewed papers published until 2011 in 8 databases yielded 48 original studies, analyzing data obtained from 155 954 women. The majority of studies (k = 43) applied correlational design, while 5 had experimental design.

Results

Experimental research indicated a positive effect of 75% of psychosocial interventions targeting barriers. The interventions resulted in a significant increase of CCS uptake. Overall 100% of correlational studies indicated that perceiving lower levels of barriers significantly predicted higher CCS uptake. 53 psychosocial barriers were listed in at least 2 original correlational studies: 9.5% of barriers were related to CCS facilities/environment, 67.9% dealt with personal characteristics of the patient, and 22.6% addressed social factors. As many as 35.9% of perceived barriers referred to negative emotions related to CCS examination procedures and collecting CCS results, whereas 25.7% of barriers referred to prior contacts with health professionals.

Conclusions

Leaflets or discussion on psychosocial barriers between patients and health professionals involved in CCS might increase CCS uptake and thus reduce cervical cancer mortality rates. Communication skills training for health professionals conducting CCS might focus on the most frequently reported barriers, referring to emotions related to CCS examination and collecting CCS results.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine: the effectiveness of different forms of print-based self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to print-based self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search April 2014.

SELECTION CRITERIA

We included randomized trials of smoking cessation with follow-up of at least six months, where at least one arm tested a print-based self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

We identified 74 trials which met the inclusion criteria. Many study reports did not include sufficient detail to judge risk of bias for some domains. Twenty-eight studies (38%) were judged at high risk of bias for one or more domains but the overall risk of bias across all included studies was judged to be moderate, and unlikely to alter the conclusions.Thirty-four trials evaluated the effect of standard, non-tailored self-help materials. Pooling 11 of these trials in which there was no face-to-face contact and provision of structured self-help materials was compared to no intervention gave an estimate of benefit that just reached statistical significance (n = 13,241, risk ratio [RR] 1.19, 95% confidence interval [CI] 1.04 to 1.37). This analysis excluded two trials with strongly positive outcomes that introduced significant heterogeneity. Six further trials without face-to-face contact in which the control group received alternative written materials did not show evidence for an effect of the smoking self-help materials (n = 7023, RR 0.88, 95% CI 0.74 to 1.04). When these two subgroups were pooled, there was no longer evidence for a benefit of standard structured materials (n = 20,264, RR 1.06, 95% CI 0.95 to 1.18). We failed to find evidence of benefit from providing standard self-help materials when there was brief contact with all participants (5 trials, n = 3866, RR 1.17, 95% CI 0.96 to 1.42), or face-to-face advice for all participants (11 trials, n = 5365, RR 0.97, 95% CI 0.80 to 1.18).Thirty-one trials offered materials tailored for the characteristics of individual smokers, with controls receiving either no materials, or stage matched or non-tailored materials. Most of the trials used more than one mailing. Pooling these showed a benefit of tailored materials (n = 40,890, RR 1.28, 95% CI 1.18 to 1.37) with moderate heterogeneity (I² = 32%). The evidence is strongest for the subgroup of nine trials in which tailored materials were compared to no intervention (n = 13,437, RR 1.35, 95% CI 1.19 to 1.53), but also supports tailored materials as more helpful than standard materials. Part of this effect could be due to the additional contact or assessment required to obtain individual data, since the subgroup of 10 trials where the number of contacts was matched did not detect an effect (n = 11,024, RR 1.06, 95% CI 0.94 to 1.20). In two trials including a direct comparison between tailored materials and brief advice from a health care provider, there was no evidence of a difference, but confidence intervals were wide (n = 2992, RR 1.13, 95% CI 0.86 to 1.49).Only four studies evaluated self-help materials as an adjunct to nicotine replacement therapy, with no evidence of additional benefit (n = 2291, RR 1.05, 95% CI 0.88 to 1.25). A small number of other trials failed to detect benefits from using additional materials or targeted materials, or to find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Standard, print-based self-help materials increase quit rates compared to no intervention, but the effect is likely to be small. We did not find evidence that they have an additional benefit when used alongside other interventions such as advice from a healthcare professional, or nicotine replacement therapy. There is evidence that materials that are tailored for individual smokers are more effective than non-tailored materials, although the absolute size of effect is still small. Available evidence tested self-help interventions in high income countries; further research is needed to investigate their effect in contexts where more intensive support is not available.

Efficacy of a text message-based smoking cessation intervention for young people: a cluster randomized controlled trial

Background

Smoking prevalence remains high, particularly among adolescents and young adults with lower educational levels, posing a serious public health problem. There is limited evidence of effective smoking cessation interventions in this population.

Objective

To test the efficacy of an individually tailored, fully automated text messaging (short message service, SMS)–based intervention for smoking cessation in young people.

Methods

A 2-arm cluster randomized controlled trial, using school class as the randomization unit, was conducted to test the efficacy of the SMS text messaging intervention compared to an assessment-only control group. Students who smoked were proactively recruited via online screening in vocational school classes. Text messages, tailored to demographic and smoking-related variables, were sent to the participants of the intervention group at least 3 times per week over a period of 3 months. A follow-up assessment was performed 6 months after study inclusion. The primary outcome measure was 7-day smoking abstinence. Secondary outcomes were 4-week smoking abstinence, cigarette consumption, stage of change, and attempts to quit smoking. We used regression models controlling for baseline differences between the study groups to test the efficacy of the intervention. Both complete-case analyses (CCA) and intention-to-treat analyses (ITT) were performed. Subgroup analyses were conducted for occasional and daily smokers.

Results

A total of 2638 students in 178 vocational school classes in Switzerland participated in the online screening. Overall, 1012 persons met the inclusion criteria for study participation, and 755 persons (74.6%) participated in the study (intervention: n=372; control: n=383). Of the 372 program participants, 9 (2.4%) unsubscribed from the program during the intervention period. Six-month follow-up data were obtained for 559 study participants (74.0%). The 7-day smoking abstinence rate at follow-up was 12.5% in the intervention group and 9.6% in the control group (ITT: P=.92). No differences between the study groups were observed in 4-week point prevalence abstinence rates. The decrease in the mean number of cigarettes smoked per day from baseline to follow-up was higher in the intervention group than in the control group (ITT: P=.002). No differences between the groups were observed in stage of change (ITT: P=.82) and quit attempts (ITT: P=.38). The subgroup analyses revealed lower cigarette consumption in both occasional and daily smokers in the intervention group compared to the control group. Occasional smokers in the intervention group made more attempts to quit smoking than occasional smokers in the control group.

Conclusions

This study demonstrated the potential of an SMS text message–based intervention to reach a high proportion of young smokers with low education levels. The intervention did not have statistically significant short-term effects on smoking cessation; however, it resulted in statistically significant lower cigarette consumption. Additionally, it resulted in statistically significant more attempts to quit smoking in occasional smokers.

Trial Registration

International Standard Randomized Controlled Trial Number (ISRCTN): 19739792; http://www.controlled-trials.com/ISRCTN19739792 (Archived by WebCite at http://webcitation.org/6IGETTHmr).

Physician advice for smoking cessation

BACKGROUND

Healthcare professionals frequently advise people to improve their health by stopping smoking. Such advice may be brief, or part of more intensive interventions.

OBJECTIVES

The aims of this review were to assess the effectiveness of advice from physicians in promoting smoking cessation; to compare minimal interventions by physicians with more intensive interventions; to assess the effectiveness of various aids to advice in promoting smoking cessation, and to determine the effect of anti-smoking advice on disease-specific and all-cause mortality.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register in January 2013 for trials of interventions involving physicians. We also searched Latin American databases through BVS (Virtual Library in Health) in February 2013.

SELECTION CRITERIA

Randomised trials of smoking cessation advice from a medical practitioner in which abstinence was assessed at least six months after advice was first provided.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the setting in which advice was given, type of advice given (minimal or intensive), and whether aids to advice were used, the outcome measures, method of randomisation and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up. We also considered the effect of advice on mortality where long-term follow-up data were available. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates where available. People lost to follow-up were counted as smokers. Effects were expressed as relative risks. Where possible, we performed meta-analysis using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS

We identified 42 trials, conducted between 1972 and 2012, including over 31,000 smokers. In some trials, participants were at risk of specified diseases (chest disease, diabetes, ischaemic heart disease), but most were from unselected populations. The most common setting for delivery of advice was primary care. Other settings included hospital wards and outpatient clinics, and industrial clinics.Pooled data from 17 trials of brief advice versus no advice (or usual care) detected a significant increase in the rate of quitting (relative risk (RR) 1.66, 95% confidence interval (CI) 1.42 to 1.94). Amongst 11 trials where the intervention was judged to be more intensive the estimated effect was higher (RR 1.84, 95% CI 1.60 to 2.13) but there was no statistical difference between the intensive and minimal subgroups. Direct comparison of intensive versus minimal advice showed a small advantage of intensive advice (RR 1.37, 95% CI 1.20 to 1.56). Direct comparison also suggested a small benefit of follow-up visits. Only one study determined the effect of smoking advice on mortality. This study found no statistically significant differences in death rates at 20 years follow-up.

AUTHORS' CONCLUSIONS

Simple advice has a small effect on cessation rates. Assuming an unassisted quit rate of 2 to 3%, a brief advice intervention can increase quitting by a further 1 to 3%. Additional components appear to have only a small effect, though there is a small additional benefit of more intensive interventions compared to very brief interventions.

Physician advice for smoking cessation

BACKGROUND

Healthcare professionals frequently advise people to improve their health by stopping smoking. Such advice may be brief, or part of more intensive interventions.

OBJECTIVES

The aims of this review were to assess the effectiveness of advice from physicians in promoting smoking cessation; to compare minimal interventions by physicians with more intensive interventions; to assess the effectiveness of various aids to advice in promoting smoking cessation, and to determine the effect of anti-smoking advice on disease-specific and all-cause mortality.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register in January 2013 for trials of interventions involving physicians. We also searched Latin American databases through BVS (Virtual Library in Health) in February 2013.

SELECTION CRITERIA

Randomised trials of smoking cessation advice from a medical practitioner in which abstinence was assessed at least six months after advice was first provided.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the setting in which advice was given, type of advice given (minimal or intensive), and whether aids to advice were used, the outcome measures, method of randomisation and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up. We also considered the effect of advice on mortality where long-term follow-up data were available. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates where available. People lost to follow-up were counted as smokers. Effects were expressed as relative risks. Where possible, we performed meta-analysis using a Mantel-Haenszel fixed-effect model.

MAIN RESULTS

We identified 42 trials, conducted between 1972 and 2012, including over 31,000 smokers. In some trials, participants were at risk of specified diseases (chest disease, diabetes, ischaemic heart disease), but most were from unselected populations. The most common setting for delivery of advice was primary care. Other settings included hospital wards and outpatient clinics, and industrial clinics.Pooled data from 17 trials of brief advice versus no advice (or usual care) detected a significant increase in the rate of quitting (relative risk (RR) 1.66, 95% confidence interval (CI) 1.42 to 1.94). Amongst 11 trials where the intervention was judged to be more intensive the estimated effect was higher (RR 1.84, 95% CI 1.60 to 2.13) but there was no statistical difference between the intensive and minimal subgroups. Direct comparison of intensive versus minimal advice showed a small advantage of intensive advice (RR 1.37, 95% CI 1.20 to 1.56). Direct comparison also suggested a small benefit of follow-up visits. Only one study determined the effect of smoking advice on mortality. This study found no statistically significant differences in death rates at 20 years follow-up.

AUTHORS' CONCLUSIONS

Simple advice has a small effect on cessation rates. Assuming an unassisted quit rate of 2 to 3%, a brief advice intervention can increase quitting by a further 1 to 3%. Additional components appear to have only a small effect, though there is a small additional benefit of more intensive interventions compared to very brief interventions.

The Effectiveness of Group Therapy on the Family Functioning of Individuals under Methadone Treatment: A Clinical Trial

BACKGROUND

A significant number of opioid-dependent patients in Iran are now being treated by methadone maintenance therapy (MMT). One of the social complications of substance dependency is family disorganization and a decrease in marital satisfaction. This study aimed to determine the effect of group therapy based on the transtheoretical model of change on family functioning of the patients under MMT.

METHODS

In this open clinical trial, 48 married people who were between the ages of 19 and 40, and under methadone maintenance therapy had been assigned to two random groups of test and control. In the intervention group, group therapy was held based on the transtheoretical model of behavior change, for 29 sessions (two times a week). To assess the overall health and pathology of the family, the two questionnaires Family Assessment Device (FAD) and Marital Conflict Questionnaire (MCQ), both with approved reliability and validity, were used.

FINDINGS

A total of 24 patients in the control group and 23 patients in the intervention group (one person withdrew from the study in the early meetings) were evaluated. The mean ± SD of age of the control and intervention groups, respectively, were 33.9 ± 4.8 and 32.8 ± 4.3 (P = 0.40). Before the intervention began the average score of FAD and MCQ questionnaires between the two groups was comparable. After the intervention was over the score of each of the two questionnaires, with the adjustment of the baseline score, was lower in the treatment group than the control group, the difference was marginally significant (P < 0.10).

CONCLUSION

The family functioning of the MMT treated patients showed improvement. Therefore, with the use of stage-of-change and group therapy, steps can be taken for improving family functioning of these patients. Due to the relatively long duration and frequency of treatment sessions the feasibility of this intervention needs further research.

Efficacy of smoking-cessation interventions for young adults: a meta-analysis

CONTEXT

Approximately 22% of U.S. young adults (aged 18-24 years) are smokers. Young adults typically display an interest in quitting, but it is unknown whether the evidence-based cessation programs designed for adults will be equally effective for young adults. This meta-analysis investigated the efficacy of smoking-cessation programs for this population.

EVIDENCE ACQUISITION

In 2009-2011, studies published between 2004 and 2008 that investigated smoking cessation were first found through the DHHS Clinical Practice Guidelines for Treating Tobacco Use and Dependence as well as a PubMed search (2009-2010) and were then subjected to a rigorous inclusion process. Authors were contacted to glean raw data for young adults. Fourteen studies provided data that were coded for descriptive information and aggregated using the Comprehensive Meta-Analysis, version 2.0.

EVIDENCE SYNTHESIS

Among young adults, any type of intervention was more effective in producing successful smoking cessation than the control. This was the case for intent-to-treat analyses as well as complete cases. When interventions were effective for the larger adult sample, they were also effective for the younger adult sample.

CONCLUSIONS

Although young adults tend to underutilize evidence-based cessation treatments, the current meta-analysis showed that these treatments should be as effective for young adults as they are for the general adult population. Thus, it may be useful to focus on motivating young adults to seek cessation treatment to increase utilization.

Training health professionals in smoking cessation

BACKGROUND

Cigarette smoking is one of the leading causes of preventable death world wide. There is good evidence that brief interventions from health professionals can increase smoking cessation attempts. A number of trials have examined whether skills training for health professionals can lead them to have greater success in helping their patients who smoke.

OBJECTIVES

To determine the effectiveness of training health care professionals in the delivery of smoking cessation interventions to their patients, and to assess the additional effects of training characteristics such as intervention content, delivery method and intensity.

SEARCH METHODS

The Cochrane Tobacco Addiction Group's Specialised Register, electronic databases and the bibliographies of identified studies were searched and raw data was requested from study authors where needed. Searches were updated in March 2012.

SELECTION CRITERIA

Randomized trials in which the intervention was training of health care professionals in smoking cessation. Trials were considered if they reported outcomes for patient smoking at least six months after the intervention. Process outcomes needed to be reported, however trials that reported effects only on process outcomes and not smoking behaviour were excluded.

DATA COLLECTION AND ANALYSIS

Information relating to the characteristics of each included study for interventions, participants, outcomes and methods were extracted by two independent reviewers. Studies were combined in a meta-analysis where possible and reported in narrative synthesis in text and table.

MAIN RESULTS

Of seventeen included studies, thirteen found no evidence of an effect for continuous smoking abstinence following the intervention. Meta-analysis of 14 studies for point prevalence of smoking produced a statistically and clinically significant effect in favour of the intervention (OR 1.36, 95% CI 1.20 to 1.55, p= 0.004). Meta-analysis of eight studies that reported continuous abstinence was also statistically significant (OR 1.60, 95% CI 1.26 to 2.03, p= 0.03).Healthcare professionals who had received training were more likely to perform tasks of smoking cessation than untrained controls, including: asking patients to set a quit date (p< 0.0001), make follow-up appointments (p< 0.00001), counselling of smokers (p< 0.00001), provision of self-help material (p< 0.0001) and prescription of a quit date (p< 0.00001). No evidence of an effect was observed for the provision of nicotine gum/replacement therapy.

AUTHORS' CONCLUSIONS

Training health professionals to provide smoking cessation interventions had a measurable effect on the point prevalence of smoking, continuous abstinence and professional performance. The one exception was the provision of nicotine gum or replacement therapy, which did not differ between groups.

Adoption, reach and effectiveness of computer-based, practitioner delivered and combined smoking interventions in general medical practices: a three-arm cluster randomized trial

BACKGROUND

Brief advice for smoking patients has not been sufficiently integrated in routine care. Computer-based interventions emerged as a time saving option that might help to exhaust the potential population impact of the general practice setting.

METHOD

151 practices were randomly assigned to one of three intervention programs consisting in the delivery of: (1) brief advice by the practitioner; (2) individually tailored computer-generated letters; or (3) a combination of both interventions. We assessed three dimensions of population impact: (1) adoption, i.e., the rate of practices participating in the program; (2) reach, measured as the number of interventions provided within 7 months; (3) effectiveness, measured as smoking abstinence at 12-months follow-up.

RESULTS

Among the practices, 70% adopted the program with no significant differences across study groups. Treatment was provided to 3086 adult smokers. Negative binomial regression analysis revealed that the number of interventions provided was higher in practices allocated to the tailored letter and combination intervention groups by 215% (p<.01) and 127% (p=.02), respectively, compared to the brief advice intervention group. Among the patients who received the combination of both intervention, the odds of point abstinence from smoking was increased by 65% (p=.02) and 32% (p=.01) compared to the brief advice and tailored letters intervention respectively. Comparing the number of abstinent patients at follow-up revealed that the tailored letter and combination interventions were superior to the brief advice intervention.

CONCLUSIONS

Computer-based interventions alone or in addition to conventional practitioner-delivered advice can foster the participation of general medical practices in tobacco control.

A systematic review and meta-analysis of face-to-face communication of tailored health messages: implications for practice

OBJECTIVE

To conduct a systematic review of the effect of face-to-face delivered tailored health messages on patient behavior and applications for practice.

DESIGN

A systematic literature review and meta-analysis.

METHODS

Systematic searches of a number of electronic databases were conducted and criteria for selection of studies were specified.

RESULTS

6 experimental studies published between 2003 and 2009 were included. The studies were all randomized controlled trials to evaluate the effectiveness of a face-to-face tailored messaging intervention. There were variation in their research design and methods used to randomize. All participants were aged at least 18 years. All of the studies reported positive changes in participants' health behavior with varying degrees of effect size and duration. A meta-analysis of the available data also confirmed an overall positive effect of tailored messaging on participants' health behaviors.

CONCLUSION

The systematic review and the meta-analysis demonstrate a significant and positive effective of face-to-face tailored messaging upon participants' health behaviors.

PRACTICE IMPLICATIONS

Health practitioners should be encouraged to allot time in their work routines to discover their patients' psycho-social characteristics and felt needs in order that they can provide a tailored health message to enable the patient to adopt health-promoting regimes into their lifestyle.

Smokers' expectations toward the engagement of their general practitioner in discussing lifestyle behaviors

Barriers associated with the sparse engagement of general practitioners (GPs) in lifestyle counseling are well investigated. The aim of the study was (a) to explore to what extent smoking patients want to discuss about lifestyle; and (b) to investigate whether patient characteristics might influence the expectations to discuss smoking, alcohol, nutrition, or physical activity. Data were collected during the 24-month follow-up of a smoking cessation efficacy study. Participants were 1,029 patients. More than half of the patients expected that their GP should address smoking, alcohol, and nutrition in a proactive way. Patients who preferred to address the issue of smoking, alcohol, nutrition, and physical activity only for themselves were more likely to be female. Older patients were more likely to reject a discussion concerning these three lifestyle habits in general. Regarding smoking and alcohol, higher age predicted a lower readiness to use an extra appointment. There are some reservations among several patient groups to accept a GP-initiated offer for a discussion about lifestyle habits. Therefore, the improvement of skills and a high sensitivity to address lifestyle habits conveniently can have a large effect on public health.

The use of emerging technologies in alcohol treatment

Emerging technologies, such as the Internet and text messaging, have an ever-growing role in providing services to problem drinkers. This article summarizes selected examples of emerging technologies that have been developed and implemented as stand-alone interventions and as part of other face-to-face interventions. It provides a taste of the different opportunities available for implementing emerging technologies as a way to improve the accessibility and effectiveness of services for problem drinkers.

Tailored Health Communication to Change Lifestyle Behaviors

Tailored health communication research represents a very promising line of inquiry that has the potential to produce major impacts on lifestyle behaviors. This study defines tailoring and discusses how tailored interventions operate, including comparing/ contrasting different tailoring channels. Next, the authors review the literature on tailored interventions to change lifestyle behaviors, with a focus on smoking cessation, dietary change, and physical activity, as well as interventions that address multiple lifestyle behaviors. Finally, future directions for tailoring research are discussed. To date, a large literature has amassed showing the promise of tailored programs delivered via print, Internet, local computer/kiosk, telephone, and interpersonal channels. Numerous studies demonstrate that these programs are capable of significant impacts on smoking cessation, dietary change, physical activity, and multiple behavior change. It is concluded that the potential of tailoring will be more fully realized as (a) the field builds a more cumulative science of tailoring and (b) greater dissemination of efficacious tailored programs takes place.

Stage-based interventions for smoking cessation

BACKGROUND

The transtheoretical model is the most widely known of several stage-based theories of behaviour. It proposes that smokers move through a discrete series of motivational stages before they quit successfully. These are precontemplation (no thoughts of quitting), contemplation (thinking about quitting), preparation (planning to quit in the next 30 days), action (quitting successfully for up to six months), and maintenance (no smoking for more than six months). According to this influential model, interventions which help people to stop smoking should be tailored to their stage of readiness to quit, and are designed to move them forward through subsequent stages to eventual success. People in the preparation and action stages of quitting would require different types of support from those in precontemplation or contemplation.

OBJECTIVES

Our primary objective was to test the effectiveness of stage-based interventions in helping smokers to quit.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group's specialised register for trials, using the terms ('stage* of change', 'transtheoretical model*', 'trans-theoretical model*, 'precaution adoption model*', 'health action model', 'processes of change questionnaire*', 'readiness to change', 'tailor*') and 'smoking' in the title or abstract, or as keywords. The latest search was in August 2010.

SELECTION CRITERIA

We included randomized controlled trials, which compared stage-based interventions with non-stage-based controls, with 'usual care' or with assessment only. We excluded trials which did not report a minimum follow-up period of six months from start of treatment, and those which measured stage of change but did not modify their intervention in the light of it.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the dose and duration of intervention, the outcome measures, the randomization procedure, concealment of allocation, and completeness of follow up.The main outcome was abstinence from smoking for at least six months. We used the most rigorous definition of abstinence, and preferred biochemically validated rates where reported. Where appropriate we performed meta-analysis to estimate a pooled risk ratio, using the Mantel-Haenszel fixed-effect model.

MAIN RESULTS

We found 41 trials (>33,000 participants) which met our inclusion criteria. Four trials, which directly compared the same intervention in stage-based and standard versions, found no clear advantage for the staging component. Stage-based versus standard self-help materials (two trials) gave a relative risk (RR) of 0.93 (95% CI 0.62 to 1.39). Stage-based versus standard counselling (two trials) gave a relative risk of 1.00 (95% CI 0.82 to 1.22). Six trials of stage-based self-help systems versus any standard self-help support demonstrated a benefit for the staged groups, with an RR of 1.27 (95% CI 1.01 to 1.59). Twelve trials comparing stage-based self help with 'usual care' or assessment-only gave an RR of 1.32 (95% CI 1.17 to 1.48). Thirteen trials of stage-based individual counselling versus any control condition gave an RR of 1.24 (95% CI 1.08 to 1.42). These findings are consistent with the proven effectiveness of these interventions in their non-stage-based versions. The evidence was unclear for telephone counselling, interactive computer programmes or training of doctors or lay supporters. This uncertainty may be due in part to smaller numbers of trials.

AUTHORS' CONCLUSIONS

Based on four trials using direct comparisons, stage-based self-help interventions (expert systems and/or tailored materials) and individual counselling were neither more nor less effective than their non-stage-based equivalents. Thirty-one trials of stage-based self help or counselling interventions versus any control condition demonstrated levels of effectiveness which were comparable with their non-stage-based counterparts. Providing these forms of practical support to those trying to quit appears to be more productive than not intervening. However, the additional value of adapting the intervention to the smoker's stage of change is uncertain. The evidence is not clear for other types of staged intervention, including telephone counselling, interactive computer programmes and training of physicians or lay supporters. The evidence does not support the restriction of quitting advice and encouragement only to those smokers perceived to be in the preparation and action stages.

A meta-analysis of computer-tailored interventions for health behavior change

OBJECTIVE

Computer-tailored interventions have become increasingly common for facilitating improvement in behaviors related to chronic disease and health promotion. A sufficient number of outcome studies from these interventions are now available to facilitate the quantitative analysis of effect sizes, permitting moderator analyses that were not possible with previous systematic reviews.

METHOD

The present study employs meta-analytic techniques to assess the mean effect for 88 computer-tailored interventions published between 1988 and 2009 focusing on four health behaviors: smoking cessation, physical activity, eating a healthy diet, and receiving regular mammography screening. Effect sizes were calculated using Hedges g. Study, tailoring, and demographic moderators were examined by analyzing between-group variance and meta-regression.

RESULTS

Clinically and statistically significant overall effect sizes were found across each of the four behaviors. While effect sizes decreased after intervention completion, dynamically tailored interventions were found to have increased efficacy over time as compared with tailored interventions based on one assessment only. Study effects did not differ across communication channels nor decline when up to three behaviors were identified for intervention simultaneously.

CONCLUSION

This study demonstrates that computer-tailored interventions have the potential to improve health behaviors and suggests strategies that may lead to greater effectiveness of these techniques.

Strategies to increase the delivery of smoking cessation treatments in primary care settings: a systematic review and meta-analysis

OBJECTIVES

A systematic review and meta-analysis was conducted to evaluate evidence-based strategies for increasing the delivery of smoking cessation treatments in primary care clinics.

METHODS

The review included studies published before January 1, 2009. The pooled odds-ratio (OR) was calculated for intervention group versus control group for practitioner performance for "5As" (Ask, Advise, Assess, Assist and Arrange) delivery and smoking abstinence. Multi-component interventions were defined as interventions which combined two or more intervention strategies.

RESULTS

Thirty-seven trials met eligibility criteria. Evidence from multiple large-scale trials was found to support the efficacy of multi-component interventions in increasing "5As" delivery. The pooled OR for multi-component interventions compared to control was 1.79 [95% CI 1.6-2.1] for "ask", 1.6 [95% CI 1.4-1.8] for "advice", 9.3 [95% CI 6.8-12.8] for "assist" (quit date) and 3.5 [95% CI 2.8-4.2] for "assist" (prescribe medications). Evidence was also found to support the value of practice-level interventions in increasing 5As delivery. Adjunct counseling [OR 1.7; 95% CI 1.5-2.0] and multi-component interventions [OR 2.2; 95% CI 1.7-2.8] were found to significantly increase smoking abstinence.

CONCLUSION

Multi-component interventions improve smoking outcomes in primary care settings. Future trials should attempt to isolate which components of multi-component interventions are required to optimize cost-effectiveness.

Does a typical contemplator exist? Three clusters of smokers in contemplation

The aim of this study is to test whether subtypes exist among smokers in contemplation. Data from 194 adult smokers that participated in a randomized controlled trial testing the effectiveness of a computer-tailored smoking cessation program in Dutch general practices were used for secondary analysis. Cluster analysis was conducted based on baseline scores on pros and cons of quitting and self-efficacy to quit. Clusters were cross-sectionally compared for demographic variables and smoking characteristics with analyses of variance (ANOVA) and Chi-square tests. Logistic and multinomial regression analyses were used for longitudinal comparison for smoking behavior and stage of change at 6 months follow-up. Three clusters were identified: Early, Progressing and Disengaged Contemplators. Clusters differed significantly on all clustering variables (P < 0.001). Disengaged smokers were significantly less addicted than Early Contemplators. Cluster membership was not predictive of outcome measures. No subtype was identified representing the Classic Contemplator, scoring high on both pros and cons of quitting and low on self-efficacy, as found in previous studies among US samples. The predictive validity of the clusters found was limited.

Predictors and moderators of outcome in different brief interventions for smoking cessation in general medical practice

OBJECTIVE

To explore demographic-, health-, and smoking-related predictors and moderators of outcome in smokers who participated in two different brief smoking cessation interventions.

METHODS

Data were acquired using a quasi-randomized controlled trial that tested the efficacy of computer-generated tailored letters and physician-delivered brief advice against assessment only. Daily smokers (n=1499) were recruited from 34 general medical practices. We used Generalized Estimating Equation analyses to investigate the relationship between 6-month prolonged smoking abstinence assessed at 12-, 18-, and 24-month follow-ups and potential predictors and moderators.

RESULTS

Female gender (OR=1.49, 95% CI=1.01-2.19), higher level of education (OR=1.82, 95% CI=1.18-2.82), intention to quit smoking (OR=1.66, 95% CI=1.16-2.38), and smoking cessation self-efficacy (OR=1.30, 95% CI=1.03-1.64) were positively, nicotine dependence (OR=0.84, 95% CI=0.76-0.94) and the presence of a smoking partner (OR=0.60, 95% CI=0.42-0.85) were negatively associated with smoking abstinence. Compared to assessment only, physician advice was less effective for people without an intention to quit smoking and for unemployed.

CONCLUSION

Smoking cessation interventions might be improved by tailoring them to demographic- and smoking-related variables which were identified as predictors in this study.

PRACTICE IMPLICATIONS

The results suggest that tailored letters are a more universally applicable brief intervention in general medical practice than physician advice.

Workplace smoking restrictions: smoking behavior and the intention to change among continuing smokers

OBJECTIVES

In this study, the association between three levels of workplace smoking restrictions and smoking behavior and variables related to the intention to quit among continuing smokers was examined.

METHODS

Adult smokers were recruited from consecutive patients attending a random sample of 34 general medical practices from a pre-defined, north-eastern German region. Self-reported data were gathered in the waiting room by questionnaire. Cross-sectional data of 1,012 employees were analyzed using ordered logistic regression analyses.

RESULTS

Among the sample, 12% reported a smoke-free workplace, 51% had partial, and 37% no smoking restrictions. Daily cigarette consumption was lower when there were higher levels of restriction. No association was found between smoking restrictions and previous attempts to quit, nicotine dependence, or indicators of adjusted inhalation to compensate for the lower number of cigarettes (e.g. puffs per cigarette, darker coloring of filter). Smoking restrictions were positively associated with single psychological measures related to the intention to quit.

CONCLUSION

Employees who continue to smoke may benefit from workplace smoking restrictions in terms of reduced, active smoke exposure and psychological effects increasing their readiness to quit.

Continuous individual support of smoking cessation using text messaging: a pilot experimental study

INTRODUCTION

The objective of this study was to test the feasibility and acceptance of an intervention using text messaging (short message service [SMS]) for continuous individual support of smoking cessation in young adults. Additionally, the optimal feedback intensity was investigated, and short-term efficacy of the intervention was explored.

METHODS

In a cafeteria of the University of Greifswald, 575 visitors were screened for smoking status and usage of text messaging. From these, 194 persons who fulfilled the inclusion criteria of daily smoking and weekly usage of SMS were invited for participation in an SMS-based intervention. From these, 174 (90%) consented to participate. The participants were randomly allocated to one of three study groups: (a) control condition without intervention, (b) intervention with one weekly SMS feedback (1SMS), or (c) intervention with three weekly SMS feedbacks (3SMS). In study groups (b) and (c), individualized SMS feedbacks were sent to the participants weekly, based on data from the baseline assessment and a weekly SMS assessment of the stages of change according to the transtheoretical model. Program use and acceptance were compared between the two intervention groups differing in support intensity. An exploration of the short-term efficacy of the program was conducted by comparing the three study groups at the end of the 3-month intervention program on smoking variables.

RESULTS

The median number of replies to the weekly SMS assessments was 12.5 in the 1SMS group and 13.0 in the 3SMS group (not significant). The acceptance of the program did not differ between the intervention groups. At postassessment, no significant differences between the three study groups emerged on the examined smoking variables.

DISCUSSION

The high participation and retention rates suggest that SMS-based smoking cessation interventions are attractive for young adults. Support intensity did not affect the acceptance of the program. Longer follow-up periods and larger samples are required to obtain conclusive results about the efficacy of this intervention approach.

Assessing the outcomes of prolonged cessation-induction and aid-to-cessation trials: floating prolonged abstinence

INTRODUCTION

A Society for Research on Nicotine and Tobacco working group recommended outcome measures for cessation-induction trials and aid-to-cessation trials. Cessation-induction trials aim to motivate unwilling quitters to make a quit attempt. Aid-to-cessation trials give either medication or behavioral interventions to increase the rate at which willing quitters succeed in their attempts. Nicotine-assisted reduction programs combine features of both types of interventions by giving nicotine replacement to unwilling quitters. Treatment can be prolonged more than a year, quit attempts can occur and succeed early or late in the program, and renewed quit attempts are an inherent part of the program. Conventional outcome measures are tied to a fixed but arbitrary point in follow-up and cannot capture the true outcome: Prolonged cessation anchored to the point at which a person makes a successful quit attempt.

DISCUSSION

We propose that the outcome should be counted from the successful quit attempt that began during the treatment period and continues for a defined period, ideally 6 months. In particular, if a trial compared a short reduction program with a long reduction program, it would not be possible to obtain an unbiased assessment of the outcome of such a trial using a measure tied to a fixed point in follow-up. Floating prolonged abstinence could provide such an assessment and is suitable for either prolonged cessation-induction trial or combined cessation-induction and aid-to-cessation trials.

Does the smoking status of general practitioners affect the efficacy of smoking cessation counselling?

OBJECTIVE

To examine the association between the smoking status of general practitioners (GPs) and abstinence rates among patients receiving GP-delivered brief advice for smoking cessation.

METHODS

A quasi-experimental multilevel study with follow-up assessments at 6, 12, 18, and 24 months after baseline was conducted using a random sample of 39 general practices in a defined area (participation rate=87.2%). Patients aged 18-70 were consecutively screened for smoking status (n=11,560) over the course of 3 weeks and were assigned to a control group (week 1), a computer expert system intervention (week 2), or a personal counselling intervention with the GP (week 3). For the current analysis, patients participating in study week 2 were excluded. A total of 1260 patients fulfilled the inclusion criteria and 80.2% took part: 609 patients in study week 1 and 402 patients from study week 3. GPs participated in a training session concerning smoking counselling, which was held between study weeks 2 and 3. Self-reported 4-week and 6-month prolonged abstinence measures at the 6-, 12-, 18-, and 24-month follow-ups were assessed.

RESULTS

The smoking status of the GP was neither significantly related to 4-week prolonged abstinence nor 6-month prolonged abstinence among patients in a main effects model. Further modelling revealed that the intervention group modified the effect of the non-smoking status of the GP on the likelihood to quit smoking. A significant interactive effect was found between the non-smoking status of the GP and the intervention group on both abstinence measures.

CONCLUSION

The non-smoking status of the GP had a positive effect among counselled patients.

PRACTICE IMPLICATIONS

The consideration of lifestyle behavioural variables such as the smoking status of the GP will be essential for further research concerning the efficacy of smoking interventions.

Feasibility of promoting smoking cessation among methadone users using multimedia computer-assisted education

Background

The prevalence of smoking is very high among methadone users. As a method of delivering health education, computers can be utilized effectively. However computer-assisted education in methadone users has not been evaluated systematically.

Objective

This study was aimed at assessing feasibility and patient acceptance of an interactive educational module of a multi-component smoking cessation counseling computer program for former illicit drug users treated in an outpatient methadone clinic.

Methods

The computer-mediated education for hazards of smoking utilized in this study was driven by major constructs of adult learning theories. The program interface was tailored to individuals with minimal computer experience and was implemented on a touch screen tablet PC. The number of consecutive methadone-treated current smokers enrolled in the study was 35. After providing socio-demographic and smoking profiles, the patients were asked to use the educational program for 40 minutes. The impact of the computer-mediated education was assessed by administering a pre- and post-intervention Hazards of Smoking Knowledge Survey (HSKS). An attitudinal survey and semi-structured qualitative interview were used after the educational session to assess the opinions of participants about their educational experience.

Results

The computer-mediated education resulted in significant increase of HSKS scores from 60.5 ± 16.3 to 70.4 ± 11.7 with t value 3.69 and P < .001. The majority of the patients (78.8%) felt the tablet PC was easy to use, and most of the patients (91.4%) rated the educational experience as good or excellent. After controlling for patient baseline characteristics, the effect of computer-mediated education remained statistically significant.

Conclusions

Computer-assisted education using tablet PCs was feasible, well-accepted, and an effective means of providing hazards of smoking education among methadone users.

Reasons for not using smoking cessation aids

Background

Few smokers use effective smoking cessation aids (SCA) when trying to stop smoking. Little is known why available SCA are used insufficiently. We therefore investigated the reasons for not using SCA and examined related demographic, smoking behaviour, and motivational variables.

Methods

Data were collected in two population-based studies testing smoking cessation interventions in north-eastern Germany. A total of 636 current smokers who had never used SCA and had attempted to quit or reduce smoking within the last 12 months were given a questionnaire to assess reasons for non-use. The questionnaire comprised two subscales: "Social and environmental barriers" and "SCA unnecessary."

Results

The most endorsed reasons for non-use of SCA were the belief to be able to quit on one's own (55.2%), the belief that help is not necessary (40.1%), and the belief that smoking does not constitute a big problem in one's life (36.5%). One quarter of all smokers reported that smoking cessation aids are not helpful in quitting and that the aids cost too much. Smokers intending to quit agreed stronger to both subscales and smokers with lower education agreed stronger to the subscale "Social and environmental barriers".

Conclusion

Main reasons for non-use of SCA are being overly self-confident and the perception that SCA are not helpful. Future interventions to increase the use of SCA should address these reasons in all smokers.

Physician advice for smoking cessation

BACKGROUND

Healthcare professionals frequently advise patients to improve their health by stopping smoking. Such advice may be brief, or part of more intensive interventions.

OBJECTIVES

The aims of this review were to assess the effectiveness of advice from physicians in promoting smoking cessation; to compare minimal interventions by physicians with more intensive interventions; to assess the effectiveness of various aids to advice in promoting smoking cessation, and to determine the effect of anti-smoking advice on disease-specific and all-cause mortality.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search: September 2007.

SELECTION CRITERIA

Randomized trials of smoking cessation advice from a medical practitioner in which abstinence was assessed at least six months after advice was first provided.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the setting in which advice was given, type of advice given (minimal or intensive), and whether aids to advice were used, the outcome measures, method of randomization and completeness of follow up. The main outcome measure was abstinence from smoking after at least six months follow up. We also considered the effect of advice on mortality where long-term follow-up data were available. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates where available. Subjects lost to follow up were counted as smokers. Effects were expressed as relative risks. Where possible, meta-analysis was performed using a Mantel-Haenszel fixed effect model.

MAIN RESULTS

We identified 41 trials, conducted between 1972 and 2007, including over 31,000 smokers. In some trials, subjects were at risk of specified diseases (chest disease, diabetes, ischaemic heart disease), but most were from unselected populations. The most common setting for delivery of advice was primary care. Other settings included hospital wards and outpatient clinics, and industrial clinics. Pooled data from 17 trials of brief advice versus no advice (or usual care) detected a significant increase in the rate of quitting (relative risk (RR) 1.66, 95% confidence interval (CI) 1.42 to 1.94). Amongst 11 trials where the intervention was judged to be more intensive the estimated effect was higher (RR 1.84, 95% CI 1.60 to 2.13) but there was no statistical difference between the intensive and minimal subgroups. Direct comparison of intensive versus minimal advice showed a small advantage of intensive advice (RR 1.37, 95% CI 1.20 to 1.56). Direct comparison also suggested a small benefit of follow-up visits. Only one study determined the effect of smoking advice on mortality. This study found no statistically significant differences in death rates at 20 years follow up.

AUTHORS' CONCLUSIONS

Simple advice has a small effect on cessation rates. Assuming an unassisted quit rate of 2 to 3%, a brief advice intervention can increase quitting by a further 1 to 3%. Additional components appear to have only a small effect, though there is a small additional benefit of more intensive interventions compared to very brief interventions.

Self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine the effectiveness of different forms of self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group trials register using the terms 'self-help', 'manual*' or 'booklet*'. Date of the most recent search April 2005.

SELECTION CRITERIA

We included randomized trials of smoking cessation with follow up of at least six months, where at least one arm tested a self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow up. The main outcome measure was abstinence from smoking after at least six months follow up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

We identified sixty trials. Thirty-three compared self-help materials to no intervention or tested materials used in addition to advice. In 11 trials in which self help was compared to no intervention there was a pooled effect that just reached statistical significance (N = 13,733; odds ratio [OR] 1.24, 95% confidence interval [CI] 1.07 to 1.45). This analysis excluded two trials with strongly positive outcomes that introduced significant heterogeneity. Four further trials in which the control group received alternative written materials did not show evidence for an effect of the smoking self-help materials. We failed to find evidence of benefit from adding self-help materials to face-to-face advice, or to nicotine replacement therapy. There were seventeen trials using materials tailored for the characteristics of individual smokers, where meta-analysis supported a small benefit of tailored materials (N = 20,414; OR 1.42, 95% CI 1.26 to 1.61). The evidence is strongest for tailored materials compared to no intervention, but also supports tailored materials as more helpful than standard materials. Part of this effect could be due to the additional contact or assessment required to obtain individual data. A small number of other trials failed to detect benefits from using additional materials or targeted materials, or to find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Standard self-help materials may increase quit rates compared to no intervention, but the effect is likely to be small. We failed to find evidence that they have an additional benefit when used alongside other interventions such as advice from a healthcare professional, or nicotine replacement therapy. There is evidence that materials that are tailored for individual smokers are effective, and are more effective than untailored materials, although the absolute size of effect is still small.