Integrating smoking cessation care in alcohol and other drug treatment settings using an organizational change intervention: a systematic review

Gender-Specific Clustering of Lifestyle Behaviors and Its Impacts on Cardiovascular Health

BACKGROUND

Unhealthy lifestyle behaviors associated with cardiovascular risk manifest a clustering pattern.

OBJECTIVE

Our aim was to identify behavioral clusters by using 5 unhealthy lifestyle behaviors among the Korean population and examine the impacts of identified behavioral clusters on cardiovascular health (CVH).

METHODS

A cross-sectional study was conducted using data from the sixth Korea National Health and Nutrition Examination Survey. The participants were 7898, aged 19 to 64 years. The cluster analysis was performed using the behaviors of current smoking, binge drinking, physical inactivity, insufficient fruit intake, and sugar-sweetened beverage drinking. Cardiovascular health was defined as a composite modified z score calculated using biophysical factors.

RESULTS

Men manifested 4 clusters (ie, risky binge drinkers, dominant smokers, dominant sugar-sweetened beverage drinkers, and nonsubstance/low-fruit eaters) characterized predominantly by substance use; women had 4 clusters (ie, substance users, physically inactive/low-fruit eaters, physically inactive/fruit eaters, and active adherers) characterized predominantly by physical inactivity. Among men, the clusters of dominant smokers and risky binge drinkers had significantly lower CVH scores than those with poor eating behaviors. Among women, the clusters of substance users and physically inactive/low-fruit eaters had significantly lower CVH scores than the active adherers. All the clusters in men had lower CVH scores than the worst cluster in women.

CONCLUSIONS

There was a gender difference in the clustering pattern. The clusters with smoking and binge drinking in men and women were associated with negative impacts on CVH. Healthcare professionals should pay attention to the clustering pattern to design an efficient lifestyle intervention for cardiovascular disease prevention.

Can improvement in delivery of smoking cessation care be sustained in psychiatry inpatient settings through a system change intervention? An analysis of statewide administrative health data

OBJECTIVE

This study evaluated maintenance of improved delivery of smoking cessation assistance in adult acute psychiatry inpatient units 3 years post statewide implementation of a system change intervention through analysis of a statewide administrative health dataset.

METHOD

Rates of documenting smoking status and providing a brief smoking cessation intervention (the Smoking Cessation Clinical Pathway) in all eligible Queensland public adult acute psychiatry inpatient units (N = 57) during the implementation phase (October 2015-September 2017) of a system change intervention were compared to the maintenance phase (October 2017-October 2020) using interrupted time series analysis.

RESULTS

Across implementation and maintenance phases, the percentage of discharges from psychiatry inpatient units that had a smoking status recorded remained high with the statewide average exceeding 90% (implementation phase 93.2%, 95% confidence interval = [92.4, 93.9]; and maintenance phase 94.6%, 95% confidence interval = [94.0, 95.2]). The percentage of discharges statewide with a completed Pathway stabilised during the maintenance phase (change in slope -3.7%, 95% confidence interval = [-5.2, -2.3]; change in level 0.4%, 95% confidence interval = [-7.0, 7.9]).

CONCLUSION

An evidence-based smoking cessation intervention implemented with a system change intervention resulted in sustained improvement in addressing smoking in adult inpatient psychiatry units up to 3 years post implementation.

Screening and Treatment of Tobacco Use Disorder in Mental Health Clinics in New York State: Current Status and Potential Next Steps

The prevalence of smoking is higher among individuals with serious mental illnesses than the general population. Evidence-based practices exist for tobacco cessation, but little is known about mental health clinics' tobacco cessation treatment practices/protocols. Mental health clinics in New York State were surveyed about their tobacco use treatment protocols and outdoor-smoking policies. One-third of clinics were not providing individual counseling for tobacco use disorder, 39% were not prescribing nicotine replacement therapy, and nearly half reported not prescribing bupropion or varenicline. Even smaller proportions reported implementing other clinical practice guidelines, with only 25.2% providing staff training and 20.3% having a dedicated staff member for coordinating tobacco use disorder treatment. Regarding outdoor smoke-free policies, 38% of clinics reported not allowing any tobacco use anywhere on grounds. Despite some successes, many clinics do not provide evidence-based tobacco use treatments, meaning important opportunities exist for mental health clinics and oversight agencies to standardize practices.

Brief alcohol interventions in U.S. medical settings: A systematic review of the implementation literature

This systematic review provides a synthesis of the literature on brief alcohol intervention (BAI) implementation in medical settings. We utilized the Proctor et al. (2011) taxonomy of eight implementation outcomes (acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability) to organize and describe the qualitative and quantitative literature regarding BAI implementation. An electronic search of the PubMed database identified 25 articles that met inclusion criteria. The study team independently assessed all articles for methodological quality, with the majority of studies rated as weak to moderate. Descriptive and narrative review of the included articles identified penetration and acceptability as the two most commonly reported implementation outcomes. Studies rarely reported other outcomes (e.g., fidelity, cost, sustainability, adoption). On average, studies utilized approximately six implementation strategies to facilitate implementation, with education (96%), quality management (64%), and planning (56%) strategies the most frequently reported. Promising evidence exists that patients and providers are accepting of BAI implementation efforts and implementation efforts are helpful in expanding the reach of BAIs. A theory-informed approach to selecting implementation strategies may enhance implementation success in future work. When reporting on implementation, all studies should provide detailed BAI descriptions and strategies to enhance replication efforts. We suggest study designs that balance practical outcomes with methodological rigor to maximize the quality of future studies and better inform implementation efforts.

Characteristics of Patients in Treatment for Alcohol and Drug Addiction Who Succeed in Changing Smoking, Weight, and Physical Activity: A Secondary Analysis of an RCT on Combined Lifestyle Interventions

INTRODUCTION

Patients addicted to alcohol or drug often have additional unhealthy lifestyles, adding to the high mortality and morbidity in this patient group. Therefore, it is important to consider lifestyle interventions as part of the usual addiction treatment.

OBJECTIVE

The aim was to identify predictors of successful changes in lifestyle risk factors among patients in treatment for alcohol or drug addiction.

METHODS

We conducted a secondary analysis of a trial using a 6-week intensive integrated lifestyle intervention: The very integrated program (VIP). Patients were recruited in Addiction Centres Malmö and Psychiatry Skåne, Sweden. The primary outcome was successful changes in lifestyle, measured as quitting tobacco, exercising 30 min per day, and not being over- or underweight after 6 weeks and 12 months.

RESULTS

A total of 212 patients were included in the RCT, and 128 were included in this secondary analysis: 108 at 6 weeks and 89 at 12 months of follow-up. A total of 69 patients were respondents at both follow-ups. The follow-up rates were 51 and 42%, respectively. More education, having at least 2 lifestyle risk factors and having a high quality of life were predictors of a successful change in lifestyle after 6 weeks. After 12 months, the predictors for a successful outcome were having 3 or more risk factors, while an education level up to 3 years was a negative predictor.

CONCLUSIONS

Having several unhealthy lifestyles in addition to alcohol and drug addiction was a significant predictor of successful lifestyle changes in the short- and long term after the VIP for lifestyle interventions. Likewise, education was significant. The results should be considered in future development and research among this vulnerable group of patients.

Correlates of lifetime blunt/spliff use among cigarette smokers in substance use disorders treatment

BACKGROUND

Co-use of tobacco and cannabis has been associated with greater dependence on and lower quit rates for both substances. Tobacco/cannabis co-use among individuals with substance use disorders (SUDs), a population with high rates of cigarette smoking, may hinder the effectiveness of smoking cessation interventions. We examined rates of lifetime (i.e., ever vs. never) cannabis use among current cigarette smokers in SUD treatment, and we identified the subgroup who had used tobacco and cannabis together in the form of blunts and/or spliffs. We then examined variables associated with lifetime use of blunts and/or spliffs.

METHODS

We surveyed 562 clients in 20 residential SUD treatment programs in California, USA, in 2019. Measures included demographics, lifetime use of any cannabis product, lifetime use of blunt/spliffs, patterns of tobacco use, and smoking cessation-related questions. We asked current cigarette smokers who also reported lifetime cannabis use whether they had ever used blunts and/or spliffs. We then assessed relationships of demographic, tobacco use, use of cannabis/tetrahydrocannabinol (THC) in e-cigarettes/vape pens, and smoking cessation-related variables with ever use versus never use of blunts/spliffs.

RESULTS

Among 340 current cigarette smokers, 93.2% (n = 317) reported lifetime use of any cannabis product. Among current cigarette smokers with lifetime cannabis use, 64.4% reported lifetime blunt/spliff use. Compared to those who had never used blunts/spliffs, lifetime blunt/spliff users were more likely to be younger (OR = 0.93, 95% CI 0.90-0.95), more likely to report lifetime use of cigars/cigarillos (OR = 2.95, CI 1.37-6.32), and to have ever used cannabis/THC in e-cigarettes/vape pens (OR = 4.26, CI 1.54-11.80). They were less often ready to quit smoking within 30 days (OR = 0.37, CI 0.23-0.60), but more likely to want help with smoking cessation (OR = 2.39, CI 1.52-3.77).

CONCLUSION

Current cigarette smokers in SUD treatment reported a high prevalence of lifetime cannabis use. Smokers with a history of blunt/spliff use were more likely to report lifetime use of e-cigarettes/vape pens for cannabis/THC delivery. They wanted help to quit smoking, but felt less prepared to quit in the next 30 days. Cannabis co-use may warrant clinicians' attention when providing smoking cessation interventions during SUD treatment.

Effect of increasing the delivery of smoking cessation care in alcohol and other drug treatment centres: a cluster-randomized controlled trial

AIM

Aims were to test the effectiveness of an organizational change intervention integrating smoking cessation treatment into usual alcohol and other drug (AOD) treatment, compared with usual care, on (1) 7-day point prevalence abstinence (PPA) at 8 weeks follow-up; (2) prolonged abstinence; (3) cigarettes smoked per day; (4) number of quit attempts; and (5) offer and use of nicotine replacement therapy (NRT). All outcomes were assessed at 8 weeks and 6.5 months follow-up.

DESIGN

Cluster-randomized controlled trial, with AOD service as unit of randomization, conducted January 2015-March 2016.

SETTING

Thirty-two eligible services (provided face-to-face client sessions to ≥ 50 clients/year) in Australia were randomized to control (usual care; n = 15) or intervention (n = 17) groups by an independent blinded biostatistician.

PARTICIPANTS

Eligible participants (≥ 16 years, current smoker) completed surveys at the service at baseline (n = 896) and telephone follow-up surveys (conducted by blinded assessors) at 8 weeks (n = 471; 53%) and 6.5 months (n = 427; 48%).

INTERVENTION

Intervention services received an intervention to establish routine screening, assessment and delivery of smoking cessation care.

MEASUREMENTS

Primary outcome was biochemically verified 7-day PPA at 8-week follow-up. Secondary outcomes included verified and self-reported prolonged abstinence, self-reported 7-day PPA, cigarettes/day, quit attempts and offer and use of NRT. Intention-to-treat analyses were performed, assuming missing participants were not abstinent.

FINDINGS

At 8 weeks, the findings in verified 7-day PPA between groups [2.6 versus 1.8%, odds ratio (OR) = 1.72, 95% confidence interval (CI) = 0.5-5.7, P = 0.373] were inconclusive as to whether a difference was present. Significantly lower mean cigarettes/day were reported in the intervention group compared to the usual care group at 8 weeks [incidence rate ratio (IRR) = 0.88, 95% CI = 0.8-0.95, P = 0.001] but were similar at 6.5 months (IRR = 0.96, 95% CI = 0.9-1.02, P = 0.240) follow-up. At both follow-ups the intervention group reported higher rates of NRT use.

CONCLUSIONS

Integrating smoking cessation treatment into addiction services did not significantly improve short-term abstinence from smoking.

Alcohol use disorder relapse factors: A systematic review

A relapsing-remitting course is very common in patients with an Alcohol Use Disorder (AUD). Understanding the determinants associated with alcohol resumption remains a formidable task. This paper examines relapse determinants based on a systematic review of recent alcohol literature (2000-2019). Relevant databases were consulted for articles that contained information about specific relapse determinants and reported statistical significance of each relapse determinant in predicting relapse. Relapse was broadly defined based on the characterization in the included articles. From the initial identified 4613 papers, a total of 321 articles were included. Results encompass multiple relapse determinants, which were ordered according to biopsychosocial and spiritual categories, and presented, using a descriptive methodology. Psychiatric co-morbidity, AUD severity, craving, use of other substances, health and social factors were consistently significantly associated with AUD relapse. Conversely, supportive social network factors, self efficacy, and factors related to purpose and meaning in life, were protective against AUD relapse. Despite heterogeneity in different methods, measures, and sample characteristics, these findings may contribute to a better therapeutic understanding in which specific factors are associated with relapse and those that prevent relapse. Such factors may have a role in a personalized medicine framework to improve patient outcomes.

A Cluster-Randomized Clinical Trial Testing the Effectiveness of the Addressing Tobacco Through Organizational Change Model for Improving the Treatment of Tobacco Use in Community Mental Health Care: Preliminary Study Feasibility and Baseline Findings

INTRODUCTION

People with mental illness are more likely to smoke and less likely to receive tobacco treatment than the general population. The Addressing Tobacco Through Organizational Change (ATTOC) approach supports organizational change to increase tobacco treatment in this population. We describe preliminary study feasibility and baseline behaviors and attitudes among clients and staff regarding tobacco treatment, and assesse correlates of treatment of smoking.

METHODS

Preliminary accrual, engagement, and baseline data are reported from a cluster-randomized trial comparing ATTOC to usual care. Feasibility, thus far, was the rate of site and participant accrual and engagement (eg, participants remaining in the trial). Correlates of assessing smoking, advising cessation, and providing treatment were assessed.

RESULTS

Site and participant accrual is 80% (8/10) and 86% (456/533), and engagement is 100% and 82%. "Staff asking about smoking" was reported by 63% of clients and 38% of staff; "staff advising cessation" was reported by 57% of clients and 46% of staff; staff report "assisting clients with any medication" at most 22% of the time, whereas at most 18% of clients report receiving a cessation medication; 59% of clients want tobacco treatment, but 36% of staff think that it is part of their job. "Staff assisting with medications" is related to more training, believing treating smoking is part of their job, and believing patients are concerned about smoking (ps < .05).

CONCLUSIONS

This trial of training in tobacco treatment within mental health care is feasible thus far; self-reported rates of tobacco treatment are low and associated with clinician attitudes and barriers.

IMPLICATIONS

Evaluation of ways to help address tobacco use treatment in community mental health care is feasible and needed, including the use of technical assistance and training guided by an organizational change approach.

Smoking related outcomes before and after implementation of tobacco-free grounds in residential substance use disorder treatment programs

BACKGROUND

This study examined the impact of a tobacco-free grounds (TFG) policy and the California $2.00/pack tobacco tax increase on tobacco use among individuals in residential substance use disorder (SUD) treatment.

METHODS

We conducted three cross-sectional surveys of clients enrolled in three residential SUD treatment programs. Wave 1 (Pre-TFG) included 190 clients, wave 2 (post-TFG and pre-tax increase) included 200 clients, and wave 3 (post-tax increase) included 201 clients. Demographic and tobacco-use characteristics were first compared between waves using bivariate comparisons. Regression models were used to compare each outcome with survey wave as the predictor, while adjusting for demographic characteristics and nesting of participants within programs.

RESULTS

Odds of clients being current smokers was lower (AOR = 0.43, 95%CI = 0.30,0.60) after implementation of TFG compared to baseline. Adjusted mean ratio (AMR) for cigarettes per day was lower post-TFG compared to baseline (AMR = 0.70, CI = 0.59, 0.83). There were no differences, across waves, in tobacco-related knowledge, attitudes, or services received by program clients, or use of nicotine replacement therapy. Increased cigarette taxation was not associated with reductions in client smoking.

CONCLUSION

Implementation of a TFG policy was associated with a lower prevalence of client smoking among individuals in residential SUD treatment. Increased state cigarette excise taxes were not associated with a further reduction in client smoking in the presence of TFG policies, though this may have been confounded by relaxing of the TFG policy. SUD treatment programs should promote TFG policies and increase tobacco cessation services for clients.

De Novo Malignancies Screening After Liver Transplantation for Alcoholic Liver Disease: A Comparative Opportunistic Study

Patients having received a liver transplantation (LT) for alcoholic liver disease (ALD) have a high risk of de novo malignancies, especially in the upper aerodigestive tract and lungs due to their smoking and alcohol history. The aim of this retrospective study was to compare a group of patients transplanted for ALD who continue to smoke and who were included in an intensive screening program for tobacco-related cancers implemented at the Grenoble University Hospital and a group of similar patients followed according to usual practice (chest computed tomography [CT] scan every 5 years) at the Edouard Herriot Hospital in Lyon. The intensive screening program consisted of an annual checkup, including a clinical examination by an otorhinolaryngologist, a chest CT scan, and an upper digestive endoscopy. A total of 147 patients were included: 71 patients in Grenoble and 76 patients in Lyon. The cumulative incidence of a first tobacco-related cancer was 12.3% at 3 years, 20.6% at 5 years, 42.6% at 10 years, and 64.0% at 15 years. A curative treatment was possible in 80.0% of the patients in Grenoble versus 57.9% in Lyon (P = 0.068). The rates of curative treatment were 63.6% versus 26.3% (P = 0.062) for lung cancers, 100.0% versus 87.5% (P = 0.498) for lip-mouth-pharynx and larynx cancers, and 66.7% versus 100.0% (P = 1) for esophageal cancers, respectively. In addition, for lung cancers, regardless of study group, 68.7% received a curative treatment when the diagnosis was made by CT scan screening versus 14.3% when it was made because of symptoms (P = 0.008). In conclusion, our study strongly confirms the high rate of tobacco-related de novo malignancies in LT patients for ALD and suggests that the screening of lung cancer by annual chest CT scan could significantly increase the rate of curative treatment.

Reducing Smoking Among People With Schizophrenia: Perspectives on Priorities for Advancing Research

Although tobacco smoking is very common among people with schizophrenia and has devastating effects on health, strategies to ameliorate the risk are lacking. Some studies have reported promising results yet quit rates are much lower than in the general population. There is a need to advance research into smoking cessation efforts among people with schizophrenia. We posed the following question to five leading international experts in the field: "What are the top three research ideas we need to prioritize in order to advance the field of reducing smoking amongst people with schizophrenia?" They identified three broad priorities: (i) deeper understanding about the relationship between smoking, smoking cessation and symptomatology; (ii) targeted, adaptive and responsive behavioral interventions evaluated with smarter methodologies; and (iii) improvements in delivery of interventions. Efforts should be made to establish a collaborative international research agenda.