Smoking cessation and severity of disease: The Coronary Artery Smoking Intervention Study

Interventions for smoking cessation in hospitalised patients

BACKGROUND

In 2020, 32.6% of the world's population used tobacco. Smoking contributes to many illnesses that require hospitalisation. A hospital admission may prompt a quit attempt. Initiating smoking cessation treatment, such as pharmacotherapy and/or counselling, in hospitals may be an effective preventive health strategy. Pharmacotherapies work to reduce withdrawal/craving and counselling provides behavioural skills for quitting smoking. This review updates the evidence on interventions for smoking cessation in hospitalised patients, to understand the most effective smoking cessation treatment methods for hospitalised smokers.

OBJECTIVES

To assess the effects of any type of smoking cessation programme for patients admitted to an acute care hospital.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was 7 September 2022.

SELECTION CRITERIA

We included randomised and quasi-randomised studies of behavioural, pharmacological or multicomponent interventions to help patients admitted to hospital quit. Interventions had to start in the hospital (including at discharge), and people had to have smoked within the last month. We excluded studies in psychiatric, substance and rehabilitation centres, as well as studies that did not measure abstinence at six months or longer.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our primary outcome was abstinence from smoking assessed at least six months after discharge or the start of the intervention. We used the most rigorous definition of abstinence, preferring biochemically-validated rates where reported. We used GRADE to assess the certainty of the evidence.

MAIN RESULTS

We included 82 studies (74 RCTs) that included 42,273 participants in the review (71 studies, 37,237 participants included in the meta-analyses); 36 studies are new to this update. We rated 10 studies as being at low risk of bias overall (low risk in all domains assessed), 48 at high risk of bias overall (high risk in at least one domain), and the remaining 24 at unclear risk. Cessation counselling versus no counselling, grouped by intensity of intervention Hospitalised patients who received smoking cessation counselling that began in the hospital and continued for more than a month after discharge had higher quit rates than patients who received no counselling in the hospital or following hospitalisation (risk ratio (RR) 1.36, 95% confidence interval (CI) 1.24 to 1.49; 28 studies, 8234 participants; high-certainty evidence). In absolute terms, this might account for an additional 76 quitters in every 1000 participants (95% CI 51 to 103). The evidence was uncertain (very low-certainty) about the effects of counselling interventions of less intensity or shorter duration (in-hospital only counselling ≤ 15 minutes: RR 1.52, 95% CI 0.80 to 2.89; 2 studies, 1417 participants; and in-hospital contact plus follow-up counselling support for ≤ 1 month: RR 1.04, 95% CI 0.90 to 1.20; 7 studies, 4627 participants) versus no counselling. There was moderate-certainty evidence, limited by imprecision, that smoking cessation counselling for at least 15 minutes in the hospital without post-discharge support led to higher quit rates than no counselling in the hospital (RR 1.27, 95% CI 1.02 to 1.58; 12 studies, 4432 participants). Pharmacotherapy versus placebo or no pharmacotherapy Nicotine replacement therapy helped more patients to quit than placebo or no pharmacotherapy (RR 1.33, 95% CI 1.05 to 1.67; 8 studies, 3838 participants; high-certainty evidence). In absolute terms, this might equate to an additional 62 quitters per 1000 participants (95% CI 9 to 126). There was moderate-certainty evidence, limited by imprecision (as CI encompassed the possibility of no difference), that varenicline helped more hospitalised patients to quit than placebo or no pharmacotherapy (RR 1.29, 95% CI 0.96 to 1.75; 4 studies, 829 participants). Evidence for bupropion was low-certainty; the point estimate indicated a modest benefit at best, but CIs were wide and incorporated clinically significant harm and clinically significant benefit (RR 1.11, 95% CI 0.86 to 1.43, 4 studies, 872 participants). Hospital-only intervention versus intervention that continues after hospital discharge Patients offered both smoking cessation counselling and pharmacotherapy after discharge had higher quit rates than patients offered counselling in hospital but not offered post-discharge support (RR 1.23, 95% CI 1.09 to 1.38; 7 studies, 5610 participants; high-certainty evidence). In absolute terms, this might equate to an additional 34 quitters per 1000 participants (95% CI 13 to 55). Post-discharge interventions offering real-time counselling without pharmacotherapy (RR 1.23, 95% CI 0.95 to 1.60, 8 studies, 2299 participants; low certainty-evidence) and those offering unscheduled counselling without pharmacotherapy (RR 0.97, 95% CI 0.83 to 1.14; 2 studies, 1598 participants; very low-certainty evidence) may have little to no effect on quit rates compared to control. Telephone quitlines versus control To provide post-discharge support, hospitals may refer patients to community-based telephone quitlines. Both comparisons relating to these interventions had wide CIs encompassing both possible harm and possible benefit, and were judged to be of very low certainty due to imprecision, inconsistency, and risk of bias (post-discharge telephone counselling versus quitline referral: RR 1.23, 95% CI 1.00 to 1.51; 3 studies, 3260 participants; quitline referral versus control: RR 1.17, 95% CI 0.70 to 1.96; 2 studies, 1870 participants).

AUTHORS' CONCLUSIONS

Offering hospitalised patients smoking cessation counselling beginning in hospital and continuing for over one month after discharge increases quit rates, compared to no hospital intervention. Counselling provided only in hospital, without post-discharge support, may have a modest impact on quit rates, but evidence is less certain. When all patients receive counselling in the hospital, high-certainty evidence indicates that providing both counselling and pharmacotherapy after discharge increases quit rates compared to no post-discharge intervention. Starting nicotine replacement or varenicline in hospitalised patients helps more patients to quit smoking than a placebo or no medication, though evidence for varenicline is only moderate-certainty due to imprecision. There is less evidence of benefit for bupropion in this setting. Some of our evidence was limited by imprecision (bupropion versus placebo and varenicline versus placebo), risk of bias, and inconsistency related to heterogeneity. Future research is needed to identify effective strategies to implement, disseminate, and sustain interventions, and to ensure cessation counselling and pharmacotherapy initiated in the hospital is sustained after discharge.

Prospective Randomized Trial on Smoking Cessation in Orthopaedic Trauma Patients: Results From the Let's STOP (Smoking in Trauma Orthopaedic Patients) Now Trial

OBJECTIVES

Determine if extended inpatient counseling increases smoking cessation.

DESIGN

Prospective randomized trial.

SETTING

Level I trauma center.

PATIENTS/PARTICIPANTS

Current smokers with an operative fracture.

INTERVENTION

Randomly assigned to control (no counseling), brief counseling (inpatient counseling), or extended counseling (brief counseling plus follow-up counseling) groups in a 1:3:3 ratio.

MAIN OUTCOME MEASUREMENTS

Smoking cessation confirmed by exhaled carbon monoxide at 3 and 6 months. Secondary outcomes are proportion accepting services from a nationally based quitline.

RESULTS

Overall, 266 patients participated, with 40, 111, and 115 patients in the control and 2 treatment groups, respectively. At 3 months, 17% of control patients versus 11% in the brief counseling and 10% in the extended counseling groups quit smoking, respectively (P = 0.45, 0.37). At 6 months, 15% of control, and 10% and 5% of the respective counseling groups quit (P = 0.45, 0.10). Extended counseling patients were 3 times more likely to accept referral to a quitline [odds ratio (OR), 3.1; 95% confidence interval (CI), 1.4-6.9], and brief counseling patients were more than 2 times as likely to accept referral (OR, 2.3; 95% CI, 1.0-5.1) than the control group. Extended counseling (OR, 8.2; 95% CI, 1.0-68.5) and brief counseling (OR, 5.3; 95% CI, 0.6-44.9) patients were more likely to use quitline services than the control group.

CONCLUSION

Increasing levels of inpatient counseling can improve successful referral to a smoking quitline, but it does not seem to influence quit rates among orthopaedic trauma patients. Extended counseling does not appear to provide substantial benefit over brief counseling.

LEVEL OF EVIDENCE

Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.

Interaction between a haptoglobin genetic variant and coronary artery disease (CAD) risk factors on CAD severity in Singaporean Chinese population

BACKGROUND

Haptoglobin (Hp) is a plasma protein with strong anti-inflammation and antioxidant activities. Its plasma level is known to be inversely associated with many inflammatory diseases, including cardiovascular diseases. However, the association of HP genetic variants with coronary artery disease (CAD) severity/mortality, and how they interact with common CAD risk factors are largely unknown.

METHODS

We conducted the analysis in a Singaporean Chinese CAD population with Gensini severity scores (N = 582) and subsequently evaluated the significant findings in an independent cohort with cardiovascular mortality (excluding stroke) as outcome (917 cases and 19,093 controls). CAD risk factors were ascertained from questionnaires, and stenosis information from medical records. Mortality was identified through linkage with the nationwide registry of births and deaths in Singapore. Linear regression analysis between HP genetic variant (rs217181) and disease outcome were performed. Interaction analyses were performed by introducing an interaction term in the same regression models.

RESULTS

Although rs217181 was not significantly associated with CAD severity and cardiovascular mortality (excluding stroke) in all subjects, when stratified by hypertension status, hypertensive individuals with the minor T allele have more severe CAD (β = 0.073, SE = 0.030, p = 0.015) and non-hypertensive individuals with the T allele have lower risk for mortality (odds ratio = 0.771 (0.607-0.980), p = 0.033).

CONCLUSION

HP genetic variant is not associated with CAD severity and mortality in the general population. However, hypertensive individuals with the rs217181 T allele associated with higher Hp levels had more severe CAD while non-hypertensive individuals with the same allele had lower risk for mortality in the Chinese population.

Interventions to prevent periodontal disease in tobacco-, alcohol-, and drug-dependent individuals

Substance abuse affects more than one sixth of the world's population. More importantly, the nature of the abuse and the type of addictive substances available to individuals is increasing exponentially. All substances with abusive potential impact both the human immuno-inflammatory system and oral microbial communities, and therefore play a critical role in the etiopathogenesis of periodontal diseases. Evidence strongly supports the efficacy of professionally delivered cessation counseling. Dentists, dental therapists, and hygienists are ideally placed to deliver this therapy, and to spearhead efforts to provide behavioral and pharmacologic support for cessation. The purpose of this review is to examine the biologic mechanisms underlying their role in disease causation, to understand the pharmacologic and behavioral basis for their habituation, and to investigate the efficacy of population-based and personalized interventions in prevention of periodontal disease.

Modifiable lifestyle factors in women with Takotsubo syndrome: A case-control study

BACKGROUND

There is limited information on the relationship between modifiable lifestyle factors and Takotsubo syndrome (TS).

OBJECTIVES

To determine the association of physical activity, smoking, alcohol use, and caffeinated coffee consumption with TS.

METHODS

This case-control study enrolled women with newly diagnosed TS (n = 45), women post-myocardial infarction (MI; n = 32), and healthy women volunteers (HC; n = 30). Information on physical activity, smoking, alcohol use, and caffeinated coffee consumption was collected 1-month post-discharge for TS and MI, and 1-month post-enrollment for HC.

RESULTS

TS women reported a higher prevalence of lifetime smoking and cigarette packs/day, greater coffee consumption, and less physical activity than HC. Associations with cigarette and coffee use remained significant in adjusted models. Physical activity, smoking, and coffee consumption were similar in TS and MI women.

CONCLUSIONS

Use of psychostimulants (caffeine and cigarettes) may play a role in TS pathophysiology. These findings need to be confirmed in larger, fully powered studies.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I2 statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives).

MAIN RESULTS

We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I2 = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I2 = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I2 = 0%).

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.

Individual behavioural counselling for smoking cessation

BACKGROUND

Individual counselling from a smoking cessation specialist may help smokers to make a successful attempt to stop smoking.

OBJECTIVES

The review addresses the following hypotheses:1. Individual counselling is more effective than no treatment or brief advice in promoting smoking cessation.2. Individual counselling is more effective than self-help materials in promoting smoking cessation.3. A more intensive counselling intervention is more effective than a less intensive intervention.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register for studies with counsel* in any field in May 2016.

SELECTION CRITERIA

Randomized or quasi-randomized trials with at least one treatment arm consisting of face-to-face individual counselling from a healthcare worker not involved in routine clinical care. The outcome was smoking cessation at follow-up at least six months after the start of counselling.

DATA COLLECTION AND ANALYSIS

Both authors extracted data in duplicate. We recorded characteristics of the intervention and the target population, method of randomization and completeness of follow-up. We used the most rigorous definition of abstinence in each trial, and biochemically-validated rates where available. In analysis, we assumed that participants lost to follow-up continued to smoke. We expressed effects as a risk ratio (RR) for cessation. Where possible, we performed meta-analysis using a fixed-effect (Mantel-Haenszel) model. We assessed the quality of evidence within each study using the Cochrane 'Risk of bias' tool and the GRADE approach.

MAIN RESULTS

We identified 49 trials with around 19,000 participants. Thirty-three trials compared individual counselling to a minimal behavioural intervention. There was high-quality evidence that individual counselling was more effective than a minimal contact control (brief advice, usual care, or provision of self-help materials) when pharmacotherapy was not offered to any participants (RR 1.57, 95% confidence interval (CI) 1.40 to 1.77; 27 studies, 11,100 participants; I2 = 50%). There was moderate-quality evidence (downgraded due to imprecision) of a benefit of counselling when all participants received pharmacotherapy (nicotine replacement therapy) (RR 1.24, 95% CI 1.01 to 1.51; 6 studies, 2662 participants; I2 = 0%). There was moderate-quality evidence (downgraded due to imprecision) for a small benefit of more intensive counselling compared to brief counselling (RR 1.29, 95% CI 1.09 to 1.53; 11 studies, 2920 participants; I2 = 48%). None of the five other trials that compared different counselling models of similar intensity detected significant differences.

AUTHORS' CONCLUSIONS

There is high-quality evidence that individually-delivered smoking cessation counselling can assist smokers to quit. There is moderate-quality evidence of a smaller relative benefit when counselling is used in addition to pharmacotherapy, and of more intensive counselling compared to a brief counselling intervention.

Predictors of smoking cessation in patients admitted for acute coronary heart disease

Background

Smoking cessation is probably the most important single action after a coronary event. In order to increase the effectiveness of smoking cessation programs, it is important to have knowledge of the predictors of smoking cessation. Further, it is unknown whether smoking cessation programs have impact on these predictors.

Methods

Data were obtained from a randomized controlled trial of smoking cessation intervention in 240 smokers aged less than 76 years admitted for myocardial infarction, unstable angina, or cardiac bypass surgery. Baseline characteristics were prospectively recorded. Smoking cessation was determined by self report and biochemical verification at 12 months follow-up.

Results

In multivariate logistic regression analysis, a high level of nicotine addiction, low level of self-confidence in quitting and having previous coronary heart disease were significant negative predictors of smoking cessation at 12 months follow-up. Having previous coronary heart disease and a diagnosis other than acute myocardial infarction as a reason for admission were important negative predictors of abstinence in the usual care group, in contrast to the intervention group, although this did not reach a level of significance in the subgroup interaction analyses. A high level of nicotine addiction was a strong negative predictor in both groups.

Conclusion

A high level of nicotine addiction is an important negative predictor of smoking cessation, even within an individualized smoking cessation program. Smoking cessation intervention seems to be especially effective in patients with previous coronary heart disease and in patients with unstable angina or coronary artery bypass surgery, compared to usual care.

Efficacy and Safety of Smoking Cessation Interventions in Patients With Cardiovascular Disease: A Network Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Although the efficacy and safety of smoking cessation interventions are well established, their efficacy and safety in patients with cardiovascular disease (CVD) remain unclear. The objective of this study was to evaluate the efficacy and safety of pharmacological and behavioral smoking cessation interventions in CVD patients via a meta-analysis of randomized controlled trials.

METHODS AND RESULTS

EMBASE, PsycINFO, MEDLINE, PubMed, and the Cochrane Tobacco Addiction Specialized Register were searched for randomized controlled trials evaluating the efficacy of smoking cessation pharmacotherapies and behavioral therapies in CVD patients. Outcomes of interest were smoking abstinence at 6 and 12 months, defined using the most rigorous criteria reported. Data were pooled across studies for direct comparisons using random-effects models. Network meta-analysis using a graph-theoretical approach was used to generate the indirect comparisons. Seven pharmacotherapy randomized controlled trials (n=2809) and 17 behavioral intervention randomized controlled trials (n=4666) met our inclusion criteria. Our network meta-analysis revealed that varenicline (relative risk [RR]: 2.64; 95% confidence interval [CI], 1.34-5.21) and bupropion (RR: 1.42; 95% CI, 1.01-2.01) were associated with greater abstinence than placebo. The evidence about nicotine replacement therapies was inconclusive (RR: 1.22; 95% CI, 0.72-2.06). Telephone therapy (RR: 1.47; 95% CI: 1.15-1.88) and individual counseling (RR: 1.64, 95% CI: 1.17-2.28) were both more efficacious than usual care, whereas in-hospital behavioral interventions were not (RR: 1.05; 95% CI, 0.78-1.43).

CONCLUSIONS

Our meta-analysis suggests varenicline and bupropion, as well as individual and telephone counseling, are efficacious for smoking cessation in CVD patients.

Uptake and efficacy of a systematic intensive smoking cessation intervention using motivational interviewing for smokers hospitalised for an acute coronary syndrome: a multicentre before-after study with parallel group comparisons

OBJECTIVES

To compare the efficacy of a proactive approach with a reactive approach to offer intensive smoking cessation intervention using motivational interviewing (MI).

DESIGN

Before-after comparison in 2 academic hospitals with parallel comparisons in 2 control hospitals.

SETTING

Academic hospitals in Switzerland.

PARTICIPANTS

Smokers hospitalised for an acute coronary syndrome (ACS).

INTERVENTION

In the intervention hospitals during the intervention phase, a resident physician trained in MI systematically offered counselling to all smokers admitted for ACS, followed by 4 telephone counselling sessions over 2 months by a nurse trained in MI. In the observation phase, the in-hospital intervention was offered only to patients whose clinicians requested a smoking cessation intervention. In the control hospitals, no intensive smoking cessation intervention was offered.

PRIMARY AND SECONDARY OUTCOMES

The primary outcome was 1 week smoking abstinence (point prevalence) at 12 months. Secondary outcomes were the number of smokers who received the in-hospital smoking cessation intervention and the duration of the intervention.

RESULTS

In the intervention centres during the intervention phase, 87% of smokers (N=193/225) received a smoking cessation intervention compared to 22% in the observational phase (p<0.001). Median duration of counselling was 50 min. During the intervention phase, 78% received a phone follow-up for a median total duration of 42 min in 4 sessions. Prescription of nicotine replacement therapy at discharge increased from 18% to 58% in the intervention phase (risk ratio (RR): 3.3 (95% CI 2.4 to 4.3; p≤0.001). Smoking cessation at 12-month increased from 43% to 51% comparing the observation and intervention phases (RR=1.20, 95% CI 0.98 to 1.46; p=0.08; 97% with outcome assessment). In the control hospitals, the RR for quitting was 1.02 (95% CI 0.84 to 1.25; p=0.8, 92% with outcome assessment).

CONCLUSIONS

A proactive strategy offering intensive smoking cessation intervention based on MI to all smokers hospitalised for ACS significantly increases the uptake of smoking cessation counselling and might increase smoking abstinence at 12 months.

Smoking Cessation after Myocardial Revascularization Procedures

Introduction: Smoking is associated with the development of coronary artery disease and influences negatively the prognosis of patients undergoing myocardial revascularization procedures. However, the rate of smoking cessation after these procedures is not well established in the literature. We aimed to evaluate the rate of smoking cessation in patients undergoing revascularization procedures, immediately and after 12 months of follow-up.

Methods: We examined smoking patients from a unique cardiology center who underwent myocardial revascularization procedures between January 2010 and December 2011. These patients were allocated to two groups according to the revascularization procedure performed: Coronary Artery Bypass Grafting (CABG) and Percutaneous Coronary Interventions (PCI). Data related to cessation or maintenance of smoking were obtained at subsequent clinical appointments or telephone calls.

Results: Among 173 patients selected, 118 (68.2%) underwent PCI and 55 (31.8%) underwent CABG. After revascularization procedures, the total rate of smoking cessation was 79.3%. Furthermore, there was no significant difference between the two groups (83.6% – CI 95%: 71.2–92.2% for CABG, and 79.3% – CI 95%: 70.8–86.3% for PCI). The maintenance of smoking cessation after one year was 53.2%, similar between groups (52.7% for CABG and 53.4% for PCI). Nevertheless, the average time of smoking cessation was significantly higher in the CABG group (6.9 months versus 4.5 months for PCI).

Conclusions: Coronary interventions add important value to smoking cessation, and the smoking cessation rates were similar, independent of the procedure executed.

Treating Tobacco Use and Dependence in Kidney Transplant Recipients: Development and Implementation of a Program

Tobacco use adversely affects transplant outcomes such as graft survival, patient survival, and other conditions that alter transplant patient longevity. Especially concerning is tobacco's relationship to cardiovascular disease, the number 1 cause of death in kidney transplant recipients. Many authors conclude that tobacco interventions ought to be provided to patients and sometimes lament that there are no tobacco dependence interventions designed for kidney transplant recipients. European Best Practice Guidelines for Renal Transplantation also support tobacco dependence interventions. The purpose of this article is to describe one institution's experience in implementing the clinical practice guideline for treating tobacco use and dependence within a kidney and pancreas transplant program.

Psychosocial interventions for smoking cessation in patients with coronary heart disease

BACKGROUND

This is an update of a Cochrane review previously published in 2008. Smoking increases the risk of developing atherosclerosis but also acute thrombotic events. Quitting smoking is potentially the most effective secondary prevention measure and improves prognosis after a cardiac event, but more than half of the patients continue to smoke, and improved cessation aids are urgently required.

OBJECTIVES

This review aimed to examine the efficacy of psychosocial interventions for smoking cessation in patients with coronary heart disease in short-term (6 to 12 month follow-up) and long-term (more than 12 months). Moderators of treatment effects (i.e. intervention types, treatment dose, methodological criteria) were used for stratification.

SEARCH METHODS

The Cochrane Central Register of Controlled Trials (Issue 12, 2012), MEDLINE, EMBASE, PsycINFO and PSYNDEX were searched from the start of the database to January 2013. This is an update of the initial search in 2003. Results were supplemented by cross-checking references, and handsearches in selected journals and systematic reviews. No language restrictions were applied.

SELECTION CRITERIA

Randomised controlled trials (RCTs) in patients with CHD with a minimum follow-up of 6 months.

DATA COLLECTION AND ANALYSIS

Two authors independently assessed trial eligibility and risk of bias. Abstinence rates were computed according to an intention to treat analysis if possible, or if not according to completer analysis results only. Subgroups of specific intervention strategies were analysed separately. The impact of study quality on efficacy was studied in a moderator analysis. Risk ratios (RR) were pooled using the Mantel-Haenszel and random-effects model with 95% confidence intervals (CI).

MAIN RESULTS

We found 40 RCTs meeting inclusion criteria in total (21 trials were new in this update, 5 new trials contributed to long-term results (more than 12 months)). Interventions consist of behavioural therapeutic approaches, telephone support and self-help material and were either focused on smoking cessation alone or addressed several risk factors (eg. obesity, inactivity and smoking). The trials mostly included older male patients with CHD, predominantly myocardial infarction (MI). After an initial selection of studies three trials with implausible large effects of RR > 5 which contributed to substantial heterogeneity were excluded. Overall there was a positive effect of interventions on abstinence after 6 to 12 months (risk ratio (RR) 1.22, 95% confidence interval (CI) 1.13 to 1.32, I² 54%; abstinence rate treatment group = 46%, abstinence rate control group 37.4%), but heterogeneity between trials was substantial. Studies with validated assessment of smoking status at follow-up had similar efficacy (RR 1.22, 95% CI 1.07 to 1.39) to non-validated trials (RR 1.23, 95% CI 1.12 to 1.35). Studies were stratified by intervention strategy and intensity of the intervention. Clustering reduced heterogeneity, although many trials used more than one type of intervention. The RRs for different strategies were similar (behavioural therapies RR 1.23, 95% CI 1.12 to 1.34, I² 40%; telephone support RR 1.21, 95% CI 1.12 to 1.30, I² 44%; self-help RR 1.22, 95% CI 1.12 to 1.33, I² 40%). More intense interventions (any initial contact plus follow-up over one month) showed increased quit rates (RR 1.28, 95% CI 1.17 to 1.40, I² 58%) whereas brief interventions (either one single initial contact lasting less than an hour with no follow-up, one or more contacts in total over an hour with no follow-up or any initial contact plus follow-up of less than one months) did not appear effective (RR 1.01, 95% CI 0.91 to 1.12, I² 0%). Seven trials had long-term follow-up (over 12 months), and did not show any benefits. Adverse side effects were not reported in any trial. These findings are based on studies with rather low risk of selection bias but high risk of detection bias (namely unblinded or non validated assessment of smoking status).

AUTHORS' CONCLUSIONS

Psychosocial smoking cessation interventions are effective in promoting abstinence up to 1 year, provided they are of sufficient duration. After one year, the studies showed favourable effects of smoking cessation intervention, but more studies including cost-effectiveness analyses are needed. Further studies should also analyse the additional benefit of a psychosocial intervention strategy to pharmacological therapy (e.g. nicotine replacement therapy) compared with pharmacological treatment alone and investigate economic outcomes.

Effect of systems change and use of electronic health records on quit rates among tobacco users in a public hospital system

OBJECTIVES

We examined electronic health records (EHRs) to assess the impact of systems change on tobacco use screening, treatment, and quit rates among low-income primary care patients in Louisiana.

METHODS

We examined EHR data on 79,777 patients with more than 1.2 million adult primary care encounters from January 1, 2009, through January 31, 2012, for evidence of systems change. We adapted a definition of "systems change" to evaluate a tobacco screening and treatment protocol used by medical staff during primary care visits at 7 sites in a public hospital system.

RESULTS

Six of 7 sites met the definition of systems change, with routine screening rates for tobacco use higher than 50%. Within the first year, a 99.7% screening rate was reached. Sites had a 9.5% relative decrease in prevalence over the study period. Patients were 1.03 times more likely to sustain quit with each additional intervention (95% confidence interval = 1.02, 1.04).

CONCLUSIONS

EHRs can be used to demonstrate that routine clinical interventions with low-income primary care patients result in reductions in tobacco use and sustained quits.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013.

SELECTION CRITERIA

randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings.

MAIN RESULTS

Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect.

AUTHORS' CONCLUSIONS

Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.

Predictors of success for smoking cessation at the workplace: a longitudinal study

BACKGROUND

The effectiveness of worksite interventions to reduce smoking is debatable.

OBJECTIVES

A comprehensive smoking cessation intervention was implemented in a community of more than 17,000 employees at three different health care companies. The primary endpoint was abstinence at 24 months (self-reported and confirmed by exhaled carbon monoxide ≤ 6 parts per million). Predictors of long-term abstinence were analysed by multivariable regression analysis.

METHODS

The study was designed as an investigator-initiated and investigator-driven, open, multicentre, cohort study; 887 smokers were enrolled in the programme. The intervention included intensive individual counselling as well as nicotine replacement and/or bupropion according to individual preferences. Re-interventions for relapse were offered during the 24-month follow-up.

RESULTS

The abstinence rate was 37% at 24 months and did not differ among the various medication groups (p > 0.05 for all). Predictors of successful cessation were higher age (odds ratio, OR 1.47, 95% confidence interval, CI 1.08-2.00, p < 0.01), breathlessness on exertion (OR 2.26, 95% CI 1.1-4.9, p = 0.03), and a higher educational level (OR 1.81, 95% CI 1.06-3.09, p = 0.03). Higher Fagerström (OR 0.76, 95% CI 0.59-0.97, p < 0.01) and craving scores (OR 0.75, 95% CI 0.63-0.89, p < 0.01), chronic sputum production (OR 0.52, 95% CI 0.31-0.87, p = 0.01) and use of antidepressants (OR 0.54, 95% CI 0.32-0.91, p = 0.02) were associated with ongoing smoking.

CONCLUSION

A comprehensive smoking cessation intervention at the workplace achieves high, stable, long-term abstinence rates. Elderly, well-educated employees with breathlessness on exertion have higher odds of quitting smoking. In contrast, those with high physical dependency and more intense craving, and those reporting use of antidepressant medication or sputum production have poorer chances to quit.

How well is intervention content described in published reports of smoking cessation interventions?

INTRODUCTION

Behavioral support interventions for smoking cessation are typically complex, involving multiple interacting component behavior change techniques (BCTs). Precise reporting of intervention content is important for progress in the field. This study assessed the adequacy of published descriptions of the content of smoking cessation behavioral support interventions.

METHODS

About 152 trials of behavioral support were identified from Cochrane reviews. Authors were contacted up to 3 times requesting a copy of the intervention manual. Descriptions of intervention content in manuals and the corresponding publications were coded into component BCTs using an established taxonomy. The proportion of manual-specified content reported in subsequent trial reports was examined.

RESULTS

Manuals were received for 28 interventions published between 1992 and 2008. An average of 27 BCTs were identified per manual (range: 5-56), whereas published descriptions averaged only 12 (range: 3-26) (t[27] = 4.15, p < .001 for the difference).

CONCLUSIONS

Published reports of evaluations of smoking cessation behavioral support interventions typically mention fewer than half the behavior change techniques specified in the corresponding intervention manuals; this deficit in reporting could be remedied by journals insisting on full manuals being provided as supplementary electronic files.

Nicotine dependence and smoking cessation after hospital discharge among inpatients with coronary heart attacks

This study focuses on the predictability of two alternative questionnaires for nicotine dependence, i.e., the Fagerstrom Tolerance Questionnaire (FTQ) and the Tobacco Dependence Screener (TDS), each of which represents a different aspect of dependence, among patients with coronary heart disease (CHD). Twenty-nine male inpatients that had been newly diagnosed as CHD were followed up for 30 weeks after hospital discharge. The baseline information included age, number of cigarettes per day, years of smoking, disease type (angina pectoris [AP] or acute myocardial infarction [AMI), whether they had received a briefing on smoking cessation, the FTQ, and the TDS. At 30 weeks after hospital discharge, 19 (66%) were abstainers. The group with a high TDS score (of 6 or greater) was significantly less likely to quit smoking than the group with a low TDS score (p=0.046). The FTQ score was not significantly different between the abstainers and non-abstainers. The subjects with AP were significantly less likely to quit smoking than those with AMI (p=0.021). Multiple logistic regression analysis showed that belonging to the high-TDS group and being diagnosed as AP were significantly associated with failure in smoking cessation (p<0.05). The present study suggests that the TDS may have higher predictability than the FTQ concerning smoking cessation among CHD inpatients.

Interventions for smoking cessation in hospitalised patients

BACKGROUND

Smoking contributes to reasons for hospitalisation, and the period of hospitalisation may be a good time to provide help with quitting.

OBJECTIVES

To determine the effectiveness of interventions for smoking cessation that are initiated for hospitalised patients.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group register which includes papers identified from CENTRAL, MEDLINE, EMBASE and PsycINFO in December 2011 for studies of interventions for smoking cessation in hospitalised patients, using terms including (hospital and patient*) or hospitali* or inpatient* or admission* or admitted.

SELECTION CRITERIA

Randomized and quasi-randomized trials of behavioural, pharmacological or multicomponent interventions to help patients stop smoking, conducted with hospitalised patients who were current smokers or recent quitters (defined as having quit more than one month before hospital admission). The intervention had to start in the hospital but could continue after hospital discharge. We excluded studies of patients admitted to facilities that primarily treat psychiatric disorders or substance abuse, studies that did not report abstinence rates and studies with follow-up of less than six months. Both acute care hospitals and rehabilitation hospitals were included in this update, with separate analyses done for each type of hospital.

DATA COLLECTION AND ANALYSIS

Two authors extracted data independently for each paper, with disagreements resolved by consensus.

MAIN RESULTS

Fifty trials met the inclusion criteria. Intensive counselling interventions that began during the hospital stay and continued with supportive contacts for at least one month after discharge increased smoking cessation rates after discharge (risk ratio (RR) 1.37, 95% confidence interval (CI) 1.27 to 1.48; 25 trials). A specific benefit for post-discharge contact compared with usual care was found in a subset of trials in which all participants received a counselling intervention in the hospital and were randomly assigned to post-discharge contact or usual care. No statistically significant benefit was found for less intensive counselling interventions. Adding nicotine replacement therapy (NRT) to an intensive counselling intervention increased smoking cessation rates compared with intensive counselling alone (RR 1.54, 95% CI 1.34 to 1.79, six trials). Adding varenicline to intensive counselling had a non-significant effect in two trials (RR 1.28, 95% CI 0.95 to 1.74). Adding bupropion did not produce a statistically significant increase in cessation over intensive counselling alone (RR 1.04, 95% CI 0.75 to 1.45, three trials). A similar pattern of results was observed in a subgroup of smokers admitted to hospital because of cardiovascular disease (CVD). In this subgroup, intensive intervention with follow-up support increased the rate of smoking cessation (RR 1.42, 95% CI 1.29 to 1.56), but less intensive interventions did not. One trial of intensive intervention including counselling and pharmacotherapy for smokers admitted with CVD assessed clinical and health care utilization endpoints, and found significant reductions in all-cause mortality and hospital readmission rates over a two-year follow-up period. These trials were all conducted in acute care hospitals. A comparable increase in smoking cessation rates was observed in a separate pooled analysis of intensive counselling interventions in rehabilitation hospitals (RR 1.71, 95% CI 1.37 to 2.14, three trials).

AUTHORS' CONCLUSIONS

High intensity behavioural interventions that begin during a hospital stay and include at least one month of supportive contact after discharge promote smoking cessation among hospitalised patients. The effect of these interventions was independent of the patient's admitting diagnosis and was found in rehabilitation settings as well as acute care hospitals. There was no evidence of effect for interventions of lower intensity or shorter duration. This update found that adding NRT to intensive counselling significantly increases cessation rates over counselling alone. There is insufficient direct evidence to conclude that adding bupropion or varenicline to intensive counselling increases cessation rates over what is achieved by counselling alone.

Secondary prevention in the intensive care unit: does intensive care unit admission represent a "teachable moment?"

OBJECTIVES

Cigarette smoking and unhealthy alcohol use are common causes of preventable morbidity and mortality that frequently result in admission to an intensive care unit. Understanding how to identify and intervene in these conditions is important because critical illness may provide a "teachable moment." Furthermore, the Joint Commission recently proposed screening and receipt of an intervention for tobacco use and unhealthy alcohol use as candidate performance measures for all hospitalized patients. Understanding the efficacy of these interventions may help drive evidence-based institution of programs, if deemed appropriate.

DATA SOURCES

A summary of the published medical literature on interventions for unhealthy alcohol use and smoking obtained through a PubMed search.

SUMMARY

Interventions focusing on behavioral counseling for cigarette smoking in hospitalized patients have been extensively studied. Several studies include or focus on critically ill patients. The evidence demonstrates that behavioral counseling leads to increased rates of smoking cessation but the effect depends on the intensity of the intervention. The identification of unhealthy alcohol use can lead to brief interventions. These interventions are particularly effective in trauma patients with unhealthy alcohol use. However, the current literature would not support routine delivery of brief interventions for unhealthy alcohol use in the medical intensive care unit population.

CONCLUSIONS

Intensive care unit admission represents a "teachable moment" for smokers and some patients with unhealthy alcohol use. Future studies should assess the efficacy of brief interventions for unhealthy alcohol use in medical intensive care unit patients. In addition, identification of the timing and optimal individual to conduct the intervention will be necessary.

Stages of change

The transtheoretical model, in general, and the stages of change, in particular, have proven useful in adapting or tailoring treatment to the individual. We define the stages and processes of change and then review previous meta-analyses on their interrelationship. We report an original meta-analysis of 39 studies, encompassing 8,238 psychotherapy patients, to assess the ability of stages of change and related readiness measures to predict psychotherapy outcomes. Clinically significant effect sizes were found for the association between stage of change and psychotherapy outcomes (d = .46); the amount of progress clients make during treatment tends to be a function of their pretreatment stage of change. We examine potential moderators in effect size by study outcome, patient characteristics, treatment features, and diagnosis. We also review the large volume of behavioral health research, but scant psychotherapy research, that demonstrates the efficacy of matching treatment to the patient's stage of change. Limitations of the extant research are noted, and practice recommendations are advanced.

Motivation to change and pathological gambling: analysis of the relationship with clinical and psychopathological variables

OBJECTIVES. The present study analyses the internal factor structure of the University of Rhode Island Change Assessment (URICA) Scale in pathological gambling (PG). The scale's association with the clinical profile of patients is also evaluated. METHOD. The factor analysis was based on a sample of 531 men with a DSM-IV diagnosis of pathological gambling. The statistical analysis included confirmatory factor analysis and linear correlation. RESULTS. The analyses confirmed the internal structure obtained for the URICA. The internal consistency was satisfactory (Cronbach's alpha between .74 and .85). The association between URICA scores and the socio-demographic and clinical profile of patients ranged between moderate and weak (R coefficients below .30). Lower motivation was present in 28.4% of cases and it was associated with shorter duration of the disorder, lower severity of the PG symptoms, and high psychopathology. Conclusions. The results support the validity and reliability of the URICA in a Spanish clinical population of pathological gamblers.

General health screening as part of a periodontal examination

Cardiovascular disease (CVD) and type 2 diabetes are common systemic illnesses with reliable, predictive risk factors. CVD is the number one killer worldwide accounting for nearly 30% of deaths and type 2 diabetes has reached epidemic proportions in many western industrialized countries. Both of these illnesses can go undiagnosed in an alarming number of people for significant periods of time. The relationship between oral health and systemic health has become the focus of much discussion and research in recent times. It is now widely accepted that periodontal disease is associated with systemic illnesses such as CVD and type 2 diabetes. Cigarette smoking and obesity are major risk factors accounting for a large portion of the global disease burden. Many periodontal patients may be at risk of systemic conditions but be asymptomatic and undiagnosed. With an aging population who are mostly retaining their natural dentition, the need for periodontal management will continue to rise in the future. Dental professionals are well placed to perform general health screening for their patients. Therefore, risk assessment during the periodontal examination may facilitate the early identification of the large proportion of people who are unaware of their risk status. As identification and intervention of patients with increased risk factors is key to lowering the systemic disease burden, general health screening during periodontal examinations may present an important opportunity for many patients.

Effectiveness of a cognitive orientation program with and without nicotine replacement therapy in stopping smoking in hospitalised patients

INTRODUCTION

We analysed the effectiveness of a high intensity behavioural-cognitive intervention compared to minimal intervention started during a hospital stay, to see if the combination of nicotine replacement therapy (NRT) can increase the quitting rate at 12 months of follow up.

METHOD

A total of 2560 active smokers were studied during their hospital stay. Of these, 717 smokers refused to enter the study and after a minimal intervention they were asked if we could telephone them after one year to ask if they still smoked. The remaining 1843 smokers who received high intensity cognitive therapy were randomised to receive or not receive NRT. The follow up after discharge was carried out by outpatient visits or with telephone sessions.

RESULTS

At one year of follow up, 7% of those who declined to enter the study had stopped smoking compared to 27% of those who entered the study (p<0.001). There were significant differences between the group that only had behavioural therapy (21% stopped) compared to the group that also had NRT (33% stopped; p=0.002). In this latter group there were significant differences (p=0.03) between those who had follow up in clinics (39% stopped) compared to those who were followed up telephone sessions (30%). In the multivariate analysis, the predictors of quitting at 12 months were: to have used NRT (OR 12.2; 95% CI, 5.2-32; p=0.002) and a higher score in the Richmond Test (OR 10.1; 95% CI, 3.9-24.2; p=0.01).

CONCLUSIONS

A cognitive type intervention started on smokers when admitted to hospital increases quitting rates at 12 months, compared to a minimal intervention, and these rates increase even more significantly if NRT is added.

The efficacy of smoking cessation therapies in cardiac patients: a meta-analysis of randomized controlled trials

INTRODUCTION

Several meta-analyses have examined the efficacy of smoking cessation therapies in the general population. However, little is known about the efficacy of these therapies in cardiac patients. Therefore, a meta-analysis of randomized controlled trials (RCTs) was performed to determine the efficacy of behavioural therapy and pharmacotherapy for smoking cessation in cardiac patients.

METHODS

The medical literature was systematically reviewed to identify smoking cessation RCTs in cardiac patients. Only RCTs that reported smoking abstinence at six or 12 months were included. Smoking abstinence was examined based on the 'most rigorous criterion', defined as the most conservative outcome reported in any given RCT.

RESULTS

Eleven behavioural therapy RCTs that enrolled 2105 patients and four pharmacotherapy RCTs that enrolled 1542 patients were identified. RCTs differed in the type of behavioural therapy administered as well as the total length and duration of the intervention. RCTs differed in the type of pharmacotherapy administered (one nicotine patch RCT, one nicotine gum RCT and two bupropion RCTs). Behavioural therapy was associated with a significantly higher proportion of smoking abstinence than usual care (OR 1.97 [95% CI 1.37 to 2.85]). Pharmacotherapies were more efficacious than placebo (pooled OR 1.72 [95% CI 1.15 to 2.57]).

CONCLUSIONS

Both behavioural therapy and pharmacotherapy are more efficacious than usual care for smoking cessation in cardiac patients. The present meta-analysis highlights the need for head-to-head RCTs to identify which smoking cessation therapy is preferred in cardiac patients as well as RCTs examining the efficacy of combined behavioural and pharmacotherapies.

Are psychoeducational smoking cessation interventions for coronary heart disease patients effective? Meta-analysis of interventions

PURPOSE

This systematic review aimed to assess the effectiveness of psychoeducational smoking cessation interventions for coronary heart disease (CHD) patients; and to examine behaviour change techniques used in interventions and their suitability to change behavioural determinants.

METHODS

Multiple bibliographic databases and references of retrieved articles were searched for relevant randomized controlled studies. One reviewer extracted and a second reviewer checked data from included trials. Random effects meta-analyses were conducted to estimate pooled relative risks for smoking cessation and mortality outcomes. Behaviour change techniques used and their suitability to change behavioural determinants were evaluated using a framework by Michie, Johnston, Francis, Hardeman, and Eccles.

RESULTS

A total of 14 studies were included. Psychoeducational interventions statistically significantly increased point prevalent (RR 1.44, 95% CI, 1.20-1.73) and continuous (RR 1.51, 95% CI, 1.18-1.93) smoking cessation, and statistically non-significantly decreased total mortality (RR 0.73, 95% CI, 0.46-1.15). Included studies used a mixture of theories in intervention planning. Despite superficial differences, interventions appear to deploy similar behaviour change techniques, targeted mainly at motivation and goals, beliefs about capacity, knowledge, and skills.

CONCLUSIONS

Psychoeducational smoking cessation interventions appear effective for patients with CHD. Although questions remain about what characteristics distinguish an effective intervention, analysis indicates similarities between the behaviour change techniques used in such interventions.

Should We Intervene to Modify Type A Behaviours in Patients with Manifest Heart Disease?

Until the mid 1980s Type A Behaviour (TAB) was considered to confer the same magnitude of risk for CHD as smoking, hypertension and raised serum cholesterol. As such, it was considered a suitable target for modification, particularly in post-infarction populations. More recently, three arguments have been suggested that counter such optimism: (i) recent evidence may suggest TAB is not predictive of heart disease in post-infarction populations; (ii) interventions do not influence physiological processes underpinning TAB and, accordingly, do not reduce risk for disease progression; (iii) there are other, more useful, interventions that may be conducted with cardiac patients. The validity of each of these challenges is critically examined. It is concluded that interventions to modify TAB in patients with manifest heart disease are still of value in reducing risk for further disease progression.

Promoting Lifestyle Change Among Cancer Survivors: When Is the Teachable Moment?

There is mounting evidence that cancer survivors who adopt a healthy lifestyle—for example, by exercising, consuming a healthy diet, and not smoking—reap physical and emotional benefits. Depending on the behavior targeted, these benefits may include reduced fatigue, improved physical functioning, improved quality of life, and greater likelihood of disease-free survival. Given the advantages, cancer survivors should be urged to address any unhealthy behaviors. It remains unclear, however, when cancer survivors will be most receptive to advice from health care providers and others about their lifestyle behaviors. In other words, it is unclear if a “teachable moment” occurs shortly after the cancer diagnosis, during cancer treatment, or sometime after treatment has been completed. This review describes the reasons it has been difficult to identify the optimal time within the cancer trajectory to promote healthy lifestyle behaviors. Some strategies for clarifying the optimal timing are discussed. The review concludes by summarizing health behavior recommendations for cancer survivors outlined by an American Cancer Society expert panel.

Self-efficacy and smoking cessation: a meta-analysis

According to relapse models, self-efficacy (SE), or confidence in one's ability to abstain, should predict the outcome of an attempt to quit smoking. We reviewed 54 studies that prospectively examined this relationship. The relationship between SE and future smoking depended upon the population studied and the timing of the SE assessment. The relationship between SE and future smoking was modest when SE was assessed prior to a quit attempt; SE scores were .21 standard deviation units (SD) higher for those not smoking at follow-up than for those who were smoking. The relationship was stronger (.47 SD) when SE was assessed post-quit. However, this effect was diminished when only abstainers at the time of the SE assessment were included in analysis (.28 SD). Controlling for smoking status at the time of SE assessment substantially reduced the relationship between SE and future smoking. Although SE has a reliable association with future abstinence, it is less robust than expected. Many studies may overestimate the relationship by failing to appropriately control for smoking behavior at the time of the SE assessment. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

Gender differences among smokers receiving interventions for tobacco dependence in a medical setting

OBJECTIVE

The purpose of this study was to assess differences between women and men receiving treatment for tobacco dependence through a clinical treatment program.

METHODS

We conducted a retrospective review of clinical data collected on 2139 ambulatory and 1259 hospitalized smokers receiving individualized tobacco dependence treatment from Jan 1, 2004 to Dec 31, 2005 through the Mayo Clinic Nicotine Dependence Center.

RESULTS

Overall, female smokers smoked less than males (p<0.001); were less likely to have received treatment for alcoholism (p<0.001); were more likely to have received treatment for past depression (p<0.001); were also less likely to have started smoking prior to 18 years of age (p=0.004 and p=0.008 for ambulatory and hospitalized patients, respectively); were less likely to be married (p<0.001); were less likely to be tobacco dependent (hospitalized smokers only p=0.04); and were more likely to have received a prescription for a smoking cessation medication (ambulatory smokers only, p=0.034). After adjustment for baseline characteristics, women and men did not differ in tobacco abstinence outcomes.

CONCLUSION

Although many gender differences are present among patients treated in a large ambulatory and hospital based tobacco treatment programs, gender is not associated with failure to achieve smoking abstinence.

Smoking cessation interventions for hospitalized smokers: a systematic review

BACKGROUND

A hospital admission provides an opportunity to help people stop smoking. Providing smoking cessation advice, counseling, or medication is now a quality-of-care measure for US hospitals. We assessed the effectiveness of smoking cessation interventions initiated during a hospital stay.

METHODS

We searched the Cochrane Tobacco Addiction Review Group's register for randomized and quasirandomized controlled trials of smoking cessation interventions (behavioral counseling and/or pharmacotherapy) that began during hospitalization and had a minimum of 6 months of follow-up. Two authors independently extracted data from each article, with disagreements resolved by consensus.

RESULTS

Thirty-three trials met inclusion criteria. Smoking counseling that began during hospitalization and included supportive contacts for more than 1 month after discharge increased smoking cessation rates at 6 to 12 months (pooled odds ratio [OR], 1.65; 95% confidence interval [CI], 1.44-1.90). No benefit was found for interventions with less postdischarge contact. Counseling was effective when offered to all hospitalized smokers and to the subset admitted for cardiovascular disease. Adding nicotine replacement therapy to counseling produced a trend toward efficacy over counseling alone (OR, 1.47; 95% CI, 0.92-2.35). One study added bupropion hydrochloride to counseling, which had a nonsignificant result (OR, 1.56; 95% CI, 0.79-3.06).

CONCLUSIONS

Offering smoking cessation counseling to all hospitalized smokers is effective as long as supportive contacts continue for more than 1 month after discharge. Adding nicotine replacement therapy to counseling may further increase smoking cessation rates and should be offered when clinically indicated, especially to hospitalized smokers with nicotine withdrawal symptoms.

Tobacco, alcohol, and drug use among hospital patients: concurrent use and willingness to change

BACKGROUND

Data are limited on concurrent smoking and substance use among hospital patients. To better inform hospital-based intervention strategies, we evaluated the prevalence and concurrent use of these behaviors. This study evaluated the association between tobacco, alcohol, and other drug use, compared willingness to quit smoking among patients with and without substance use, and evaluated the relationship between willingness to quit smoking and readiness to change substance use.

METHODS

This study was a cross-sectional survey of non-Intensive Care Unit hospital patients at 2 public hospitals (a 464-bed tertiary-care hospital and a 100-bed community hospital) by bedside interview. Severity of use and willingness to change behavior was determined. We evaluated the association between smoking and substance use by multivariable methods.

RESULTS

Of 7,391 patients with known smoking status, 2,684 (36%) were current smokers. Among them, 1,376 hospitalized smokers (51%) had concurrent substance use. Among the 1,972 patients with at-risk alcohol or drug use, the prevalence of smoking was 70% compared to 24% for non-substance users (P < .01). Compared to other patients who smoked, substance-dependent patients were more likely (Prevalence Rate Ratio = 1.4, 95% Confidence Interval = 1.1-1.9) to be moderate to heavy smokers. Regardless of substance use pattern, most patients (60%) expressed a desire to immediately quit smoking.

CONCLUSION

Hospital patients who describe at-risk substance use are likely to smoke and express willingness to quit smoking. Given the prevalence of concurrent smoking and substance use and patients' desire to change both behaviors, there is a need for coordination of substance use and smoking cessation interventions.

[In-patient smoker? - Providing appropriate intervention]

Tobacco use is the most avoidable cause of death. Other than provoking multiple diseases requiring hospitalisation, Tobacco Use is also a disease requiring management in the hospital setting, not only in terms of controlling the withdrawal symptoms of the patient, who has been abruptly prohibited from smoking, but also for fulfilling legislation which prohibits tobacco use in the health services, the only efficient way of preventing exposure of non-smokers to environmental tobacco smoke. Treating the in-patient smoker in an appropriate way also provides a window of opportunity for promoting not just a temporary but a complete smoking cessation.

Change in perceived stress, partner support, decisional balance, and self-efficacy following residential nicotine dependence treatment

The primary aim was to examine the effect of an eight day residential treatment for nicotine dependence on perceived stress, partner support, decisional balance, and self-efficacy for stopping smoking. Whether these variables predicted six months post treatment abstinence following residential treatment was also examined. Participants included 170 adult cigarette smokers. Perceived stress, partner support, decisional balance, and self-efficacy for stopping smoking were assessed on the first and last day of treatment. In addition, six month continuous tobacco abstinence was evaluated. Residential treatment was found to produce significant (p < 0.001) treatment changes in all psychosocial factors except one aspect of decisional balance (i.e., cons of smoking). Psychosocial factors did not predict six month tobacco abstinence. Only age (p = 0.014) and history of mental illness (p = 0.012) were found to predict six month continuous abstinence following residential treatment. This study provides new information about how residential treatment impacts psychosocial factors considered to be important predictors of tobacco abstinence in outpatient settings.

Psychosocial interventions for smoking cessation in patients with coronary heart disease

BACKGROUND

Quitting smoking improves prognosis after a cardiac event, but many patients continue to smoke, and improved cessation aids are urgently required.

OBJECTIVES

To assess the effectiveness of psychosocial interventions such as behavioural therapeutic intervention, telephone support and self-help interventions in helping people with coronary heart disease (CHD) to quit smoking.

SEARCH STRATEGY

The Cochrane Central Register of Controlled Trials (issue 2 2003), MEDLINE, EMBASE, PsycINFO and PSYNDEX were searched from the start of the database to August 2003. Results were supplemented by cross-checking references, and handsearches in selected journals and systematic reviews.

SELECTION CRITERIA

Randomised controlled studies (RCTs) in patients with CHD with a minimum follow-up of 6 months. After initial selection of the studies three trials with methodological flaws (e.g. high drop out) were excluded.

DATA COLLECTION AND ANALYSIS

Abstinence rates were computed according to an intention to treat analysis if possible, or if not on follow-up results only.

MAIN RESULTS

We found 16 RCTs meeting inclusion criteria. Interventions consist of behavioural therapeutic approaches, telephone support and self-help material and were either focused on smoking cessation alone or addressed several risk factors. The trials mostly included older male patients with CHD, predominantly myocardial infarction. Overall there was a positive effect of interventions on abstinence after 6 to 12 months (odds ratio (OR) 1.66, 95% confidence interval (CI) 1.25 to 2.22), but substantial heterogeneity between trials. Studies with validated assessment of smoking status at follow-up had lower efficacy (OR 1.44, 95% CI 0.99 to 2.11) than non-validated trials (OR 1.92, 95% CI 1.26 to 2.93). Studies were clustered by intervention strategy and intensity of the intervention. Clustering reduced heterogeneity, although many trials used more than one type of intervention. The ORs for different strategies were similar (behavioural therapies OR 1.69, 95% CI 1.33 to 2.14; telephone support OR 1.58, 95% CI 1.28 to 1.97; self-help OR 1.48, 95% CI 1.11 to 1.96). More intense interventions showed increased quit rates (OR 1.98, 95% CI 1.49 to 2.65) whereas brief interventions did not appear effective (OR 0.92, 95% CI 0.70 to 1.22). Two trials had longer term follow-up, and did not show any benefits after 5 years.

AUTHORS' CONCLUSIONS

Psychosocial smoking cessation interventions are effective in promoting abstinence at 1 year, provided they are of sufficient duration. Further studies, with longer follow-up, should compare different psychosocial intervention strategies, or the addition of a psychosocial intervention strategy to pharmacological therapy (e.g. nicotine replacement therapy) compared with pharmacological treatment alone.

Interventions for smoking cessation in hospitalised patients

BACKGROUND

An admission to hospital provides an opportunity to help people stop smoking. Individuals may be more open to help at a time of perceived vulnerability, and may find it easier to quit in an environment where smoking is restricted or prohibited. Initiating smoking cessation services during hospitalisation may help more people to make and sustain a quit attempt.

OBJECTIVES

To determine the effectiveness of interventions for smoking cessation that are initiated for hospitalised patients.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group register which includes papers identified from CENTRAL, MEDLINE, EMBASE and PSYCINFO in January 2007, and CINAHL in August 2006 for studies of interventions for smoking cessation in hospitalised patients, using terms including (hospital and patient*) or hospitali* or inpatient* or admission* or admitted.

SELECTION CRITERIA

Randomized and quasi-randomized trials of behavioural, pharmacological or multicomponent interventions to help patients stop smoking, conducted with hospitalised patients who were current smokers or recent quitters (defined as having quit more than one month before hospital admission). The intervention had to start in the hospital but could continue after hospital discharge. We excluded studies of patients admitted for psychiatric disorders or substance abuse, studies that did not report abstinence rates and studies with follow up of less than six months.

DATA COLLECTION AND ANALYSIS

Two authors extracted data independently for each paper, with disagreements resolved by consensus.

MAIN RESULTS

Thirty-three trials met the inclusion criteria. Intensive counselling interventions that began during the hospital stay and continued with supportive contacts for at least one month after discharge increased smoking cessation rates after discharge (Odds Ratio (OR) 1.65, 95% confidence interval (CI) 1.44 to 1.90; 17 trials). No statistically significant benefit was found for less intensive counselling interventions. The one study that tested a single brief (<=15 minutes) in-hospital intervention did not find it to be effective (OR 1.16, 95% CI 0.80 to 1.67). Counselling of longer duration during the hospital stay was not associated with a higher quit rate (OR 1.08, 95% CI 0.89 to 1.29, eight trials). Even counselling that began in the hospital but had less than one month of supportive contact after discharge did not show significant benefit (OR 1.09, 95% CI 0.91 to 1.31, six trials). Adding nicotine replacement therapy (NRT) did not produce a statistically significant increase in cessation over what was achieved by intensive counselling alone (OR 1.47, 95% CI 0.92 to 2.35, five studies). The one study that tested the effect of adding bupropion to intensive counselling had a similar nonsignificant effect (OR 1.56, 95% CI 0.79 to 3.06). A similar pattern of results was observed in smokers admitted to hospital because of cardiovascular disease (CVD). In this subgroup, intensive intervention with follow-up support increased the odds of smoking cessation (OR 1.81, 95% CI 1.54 to 2.15, 11 trials), but less intensive interventions did not. One trial of intensive intervention including counselling and pharmacotherapy for smokers admitted with CVD assessed clinical and health care utilization endpoints, and found significant reductions in all-cause mortality and hospital readmission rates over a two-year follow-up period.

AUTHORS' CONCLUSIONS

High intensity behavioural interventions that begin during a hospital stay and include at least one month of supportive contact after discharge promote smoking cessation among hospitalised patients. These interventions are effective regardless of the patient's admitting diagnosis. lnterventions of lower intensity or shorter duration have not been shown to be effective in this setting. There is insufficient direct evidence to conclude that adding NRT or bupropion to intensive counselling increases cessation rates over what is achieved by counselling alone, but the evidence of benefit for NRT has strengthened in this update and the point estimates are compatible with research in other settings showing that NRT and bupropion are effective.

Interactive voice response telephony to promote smoking cessation in patients with heart disease: a pilot study

OBJECTIVE

A pilot study was conducted to determine the feasibility and potential efficacy of an interactive voice response (IVR) follow-up system for smokers recently hospitalized with coronary heart disease (CHD).

METHODS

Ninety-nine smokers hospitalized with CHD completed a baseline questionnaire, were provided with bedside counseling, and offered nicotine replacement therapy. They were randomly assigned to a usual care (UC) or an IVR group. The IVR group received automated telephone follow-up calls 3, 14 and 30 days after discharge inquiring about their smoking status and confidence in remaining smoke-free. When deemed necessary, they were offered additional counseling. Smoking status was determined 52 weeks after hospital discharge.

RESULTS

The 52-week point prevalence abstinence rate in the IVR group was 46.0% compared to 34.7% in the UC group (OR=1.60, 95% CI: 0.71-3.60; P=.25). After adjustment for education, age, reason for hospitalization, length of hospitalization, and quit attempts in the past year, the odds of quitting in the IVR group compared to the UC group were 2.34 (95% CI: 0.92-5.92; P=.07).

CONCLUSIONS

IVR is a promising technology for following CHD patients attempting to quit smoking following discharge from hospital, however, a larger trial is required to confirm its efficacy.

PRACTICE IMPLICATIONS

IVR may enhance the timely provision of follow-up counseling for smoking cessation in patients with CHD.

Changes in smoking associated with an acute health event: Theoretical and practical implications

BACKGROUND

Experiencing a serious adverse behavior-related consequence may motivate behavior change.

PURPOSE

To examine how a sentinel health event is associated with changes in smoking.

METHODS

We used a prospective cohort design. Adult emergency department (ED) patients provided demographic data, a smoking history, ratings of quit intentions, and endorsement of self-identified smoking-related health problems. A chart review collected data on acuity, ED disposition, and medical diagnoses. Smoking was reassessed 1 month postvisit. Hierarchical regression analyses were conducted to predict (a) intention to quit, (b) any quit attempt of 24 hr or more, and (3) 7-day abstinence.

RESULTS

Of 717 smokers enrolled, 189 (26%) intended to quit within the next month. Of the 253 participants reached 1 month postvisit, 126 (50%) reported they had attempted to quit, with 44 (19%) reporting 7-day abstinence. After controlling for other predictors, several event-related variables, such as having a smoking-related ED visit and being admitted to the hospital, were strong predictors of outcomes.

CONCLUSION

Compared to community-based estimates, many more smokers in our sample attempted to quit and achieved 7-day abstinence. This was especially true among smokers who attributed their ED visit to a smoking-related health problem and who were admitted to the hospital. We discuss the implications for tobacco intervention design in medical settings.

Predictive value of the transtheoretical model to smoking cessation in hospitalized patients with cardiovascular disease

BACKGROUND

Several authors have questioned the transtheoretical model. Determining the predictive value of each cognitive-behavioural element within this model could explain the multiple successes reported in smoking cessation programmes. The purpose of this study was to predict point-prevalent smoking abstinence at 2 and 6 months, using the constructs of the transtheoretical model, when applied to a pooled sample of individuals who were hospitalized for a cardiovascular event.

DESIGN

The study follows a predictive correlation design.

METHODS

Recently hospitalized patients (n=168) with cardiovascular disease were pooled from a randomized, controlled trial. Independent variables of the predictive transtheoretical model comprise stages and processes of change, pros and cons to quit smoking (decisional balance), self-efficacy, and social support. These were evaluated at baseline, 2 and 6 months.

RESULTS

Compared to smokers, individuals who abstained from smoking at 2 and 6 months were more confident at baseline to remain non-smokers, perceived less pros and cons to continue smoking, utilized less consciousness raising and self-re-evaluation experiential processes of change, and received more positive reinforcement from their social network with regard to their smoke-free behaviour. Self-efficacy and stages of change at baseline were predictive of smoking abstinence after 6 months. Other variables found to be predictive of smoking abstinence at 6 months were an increase in self-efficacy; an increase in positive social support behaviour and a decrease of the pros within the decisional balance.

CONCLUSIONS

The results partially support the predictive value of the transtheoretical model constructs in smoking cessation for cardiovascular disease patients.

Effects of smoking cessation on health care use: is elevated risk of hospitalization among former smokers attributable to smoking-related morbidity?

BACKGROUND

Although the association between smoking status and health services use is well established, this relation is not well-studied for the comparison of current and former smokers. Some studies showed higher utilization of health services among former smokers compared to continuing smokers. This study investigates the relation between smoking status, time since smoking cessation and hospitalization in a general population sample. We hypothesized that elevated risk of hospitalization among former smokers compared with continuing smokers is related to higher smoking-related morbidity among former smokers.

METHODS

Data from a cross-sectional sample of 4310 adults aged 20-79 in Pomerania, Germany was used (response proportion 68.8%). Smoking status, time since smoking cessation (in years), and date of diagnosis of smoking-related diseases were determined from self-reports. We used fractional polynomials to determine the dose-response relation of time since cessation and risk of hospitalization. Confounding was investigated allowing for different sets of confounding variables.

RESULTS

We found that the probability of hospitalization was highest among those who quit 1-3 years ago and decreased thereafter. Adjustment for health status and socio-economic variables revealed that this association is attenuated by current diagnosis of smoking-related diseases.

CONCLUSION

Short-term excess health care utilization among former smokers might result from smoking-related conditions that may have led to smoking cessation. Findings suggest that smoking cessation has long-term health benefits resulting in lower health care needs.

Effectiveness of a low-intensity smoking cessation intervention for hospitalized patients

Debate exists about how intense smoking cessation interventions for hospitalized patients should be. In this study we assessed the effectiveness of a low-intensity smoking cessation intervention for hospitalized patients, without follow-up phone calls. We designed a cohort study with a historical control group, in the Department of Medicine of an 850-bed teaching hospital. One hundred and seventeen consecutive eligible smokers received the intervention, and 113 smokers hospitalized before the implementation of the intervention constituted the historical control group. The 30-min smoking cessation intervention was performed by a trained resident without any follow-up contact. Counseling was matched to smokers' motivation to quit, and accompanied by a self-help booklet. Nicotine replacement therapy was prescribed when indicated. All patients received a questionnaire to evaluate their smoking habits 6 months after they left hospital. We counted patients lost to follow-up as continuous smokers and smoking abstinence was validated by patients' physicians. Validated smoking cessation rates were 23.9% in the intervention group and 9.7% in the control group (odds ratio 2.9, 95% confidence interval: 1.4-6.2). After adjusting for potential confounders, intervention was still effective with an adjusted odds ratio of 2.26 (95% confidence interval: 1.04-4.95). Among those who continued to smoke 6 months after hospitalization, the likelihood of reporting any decrease of cigarette consumption was higher in the intervention cohort (70.8 vs. 42.7%, P=0.001). A low-intensity smoking cessation intervention, based on two visits without any follow-up contact, is associated with a higher quit rate at 6 months than that for historical control patients. Our findings show that a low-intensity smoking cessation intervention, based on two visits without any follow-up contact, is associated with a higher quit rate at 6 months than that for historical control patients.

Intensive Smoking Cessation Intervention Reduces Mortality in High-Risk Smokers With Cardiovascular Disease

PURPOSES

To compare an intensive smoking cessation intervention against usual care in hospitalized high-risk smokers with acute cardiovascular disease.

METHODS

A total of 209 hospitalized smokers were randomized to the intensive intervention (n = 109) or to usual care (n = 100). Usual care consisted only of counseling and printed educational material provided prior to hospital discharge. Intensive treatment consisted of a minimum of 12 weeks of behavior modification counseling and individualized pharmacotherapy provided at no cost to the participant. Smoking status in all subjects was confirmed biochemically (ie, by measuring expired carbon monoxide) at 3, 6, 12, and 24 months after randomization. Outcomes included point prevalence and continuous abstinence smoking cessation rates, hospitalizations, and all-cause mortality.

RESULTS

At each follow-up interval, point prevalence and continuous abstinence smoking cessation rates were significantly greater in the intensive-treatment group compared to the usual-care group. At 24 months, continuous abstinence smoking cessation rates were 33% in the intensive-treatment group and 9% in the usual-care group (p < 0.0001). Over the 2-year follow-up period, 41 patients in the usual-care group were hospitalized compared to 25 patients in the intensive-treatment group (relative risk reduction [RRR], 44%; 95% confidence interval [CI], 16 to 63%; p = 0.007). The all-cause mortality rate was 2.8% in the intensive-treatment group and 12.0% in the usual-care group (RRR, 77%; 95% CI, 27 to 93%; p = 0.014). The absolute risk reduction in mortality was 9.2% with a number needed to treat of 11.

CONCLUSION

Hospitalized smokers, especially those with cardiovascular disease, should undergo treatment with a structured intensive cessation intervention. The duration of the initial treatment should be 3 months.