The implementation of smoking cessation counseling in substance abuse treatment

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.

Exploring the barriers and facilitators to the uptake of smoking cessation services for people in treatment or recovery from problematic drug or alcohol use: A qualitative systematic review

BACKGROUND

Smoking prevalence and the associated poor health and mortality is significantly higher among people with/recovering from problematic drug or alcohol (PDA) use in comparison with the general population. Evidence from existing systematic reviews shows smoking cessation enhances rather than compromises long-term abstinence from alcohol or drug use. However, these systematic reviews lack important contextual detail around the reasons why uptake of, and successful engagement with existing stop smoking services remains low for people in treatment or recovery from PDA use. This systematic review explores qualitative data on the barriers and facilitators to the uptake of smoking cessation services for people in treatment or recovery from PDA use. This key objective addresses the limited inclusion of qualitative studies in previous systematic reviews on this issue.

METHODS

A qualitative systematic review was conducted with searches across four electronic databases (PubMed, Embase, PsycINFO and Cumulative Index to Nursing and Allied Health Literature [CINAHL]). All studies that had a qualitative component about free smoking cessation/reduction programmes for people in treatment or recovery from PDA use were included. Studies that examined electronic smoking or services that required a fee were excluded. Study quality was assessed using National Institute for Health and Care Excellence checklist. Qualitative synthesis involved inductive thematic analysis. (PROSPERO Registration number: CRD42022298521).

RESULTS

8809 potentially eligible articles were identified, 72 full texts were screened and ten articles were included for full review. Barriers to uptake and engagement with existing stop smoking services centered on three key themes: perception of public health importance, programme structure, and intervention elements. Facilitators included supportive treatment environment and optimization of support/staff resources for smoking cessation service delivery.

CONCLUSION

Recommendations included influencing a change in the way people perceive the importance of smoking cessation activities during PDA use treatment or recovery. There was also some emphasis on the need to create the right environment for sustained adherence to treatment or recovery plans, and deliver the interventions within the health system as comprehensive care. The limited qualitative evidence on community-based and outpatient services highlights a research gap.

Prevalence and factors associated with substance use among HIV positive youth attending HIV care and treatment centers in Dodoma, Tanzania

BACKGROUND

Substance use among people living with HIV is associated with poor health, social, and psychological outcomes. This study assessed the prevalence of substance use and associated factors among youth attending HIV care and treatment centers (CTCs) in Dodoma, Tanzania.

METHODS

This cross-sectional study was carried out in Dodoma, Tanzania, from February to April 2020 among youth aged 15-24 attending HIV CTCs. Data was collected using sociodemographic, WHO ASSIST Version 3.0, BDI II, and SERAD questionnaires. Data analysis was done using Stata 17. Descriptive statistics were used to summarize continuous and categorical variables. Univariable and multivariable logistic regression analyses were conducted to determine factors independently associated with substance use.

RESULTS

The prevalence of substance use was relatively low (6.6%). Older youth (20 to 24 years) were 2% less likely to use substances compared to the younger ones (15 to 19 years) (AOR: 0.07; 95% CI 0.01, 0.83). There were statistically significant decreasing odds of substance use with every year increase in age at HIV diagnosis (OR: 1.66; 95% CI 1.14, 2.41). Being unemployed was statistically significantly associated with decreased odds of substance use among this population (OR: 0.03; 95% CI 0.02, 0.33). Youth who had detectable viral loads were significantly more likely to use substances compared to those with undetectable viral loads (AOR: 12.9; 95% CI 1.07, 156.05).

CONCLUSIONS

Despite the low prevalence of substance use found in this study, it is important to note that late age of HIV diagnosis, employment, and detectable viral load negatively impacted HIV positive youth with regards to substance use. It is recommended that CTCs emphasize routine screening for substance use among youth who have detectable viral loads.

Implementing tobacco-free policy in residential substance use disorders treatment: Practice changes among staff

Introduction

Implementing tobacco-free policies in substance use disorders (SUD) treatment may reduce tobacco-related, health disparities. This study examined adoption of tobacco-related policy and practices in six residential programs participating in a California-sponsored, 18-month, tobacco-free policy intervention.

Methods

Directors (N=6) completed surveys of tobacco-related policies before and after the intervention. Staff completed cross-sectional surveys assessing tobacco-related training, beliefs, practices, workplace smoking policy, tobacco cessation program services, and smoking status pre- (n=135) and post-intervention (n=144).

Results

Director surveys indicated no programs had tobacco-free grounds, one provided tobacco-related staff training, and two provided nicotine replacement therapy (NRT) pre-intervention. At post-intervention, 5 programs had implemented tobacco-free grounds, 6 provided tobacco cessation training, and 3 provided NRT. Across all programs, staff were more likely to report smoke-free workplaces (AOR = 5.76, 95% CI1.14,29.18) post- versus pre-intervention. Staff positive beliefs towards addressing tobacco use were higher post-intervention (p<0.001). Odds of clinical staff reporting tobacco-related training participation (AOR = 19.63, 95% CI14.21,27.13) and program-level provision of NRT (AOR = 4.01, 95% CI 1.54, 10.43) increased post- versus pre-intervention. Clinical staff reporting they provided tobacco cessation services were also higher post-intervention (p= 0.045). There were no changes in smoking prevalence or quit intention among smoking staff.

Conclusion

A tobacco-free policy intervention in SUD treatment was associated with implementation of tobacco-free grounds, tobacco-related training among staff, more positive staff beliefs towards and delivery of tobacco cessation services to clients. The model may be improved with greater emphasis on staff policy awareness, facilitating availability of NRT, and reducing staff smoking.

Tobacco use among substance use disorder (SUD) treatment staff is associated with tobacco-related services received by clients

BACKGROUND

Despite disproportionately high rates of smoking among people in residential substance use disorder (SUD) treatment, few receive tobacco cessation services. Little is known about how smoking among treatment staff may impact this disparity. We explored the relationship between staff tobacco use and client tobacco use. Additionally, we examined the relationship between staff tobacco use and tobacco-related services reported by staff and clients.

METHODS

Staff (n = 363) and clients (n = 639) in 24 California publicly-funded residential SUD treatment programs were surveyed in 2019-20. Staff self-reported current tobacco use, as well as their beliefs, self-efficacy, and practices regarding smoking cessation. Clients reported their tobacco use and they services received while in treatment. Regression analyses examined the adjusted and unadjusted associations between staff and client tobacco use and other outcomes.

RESULTS

Use of any tobacco product by staff ranged from 0% to 100% by program, with an average of 32% across programs. Adjusted analyses found that higher rates of staff tobacco use were associated with higher rates of client tobacco use, and with fewer clients receiving tobacco-related counseling. In programs that had higher rates of staff tobacco use, staff were less likely to believe that clients should quit smoking in treatment and had lower self-efficacy to address smoking.

CONCLUSION

Higher rates of tobacco use among staff are associated with higher rates of client tobacco use and fewer clients receiving cessation counseling. Efforts to reduce tobacco use among SUD clients should be supported by efforts to reduce tobacco use among staff. SUD treatment programs, and agencies that fund and regulate those programs, should aim to reduce the use of tobacco products among staff.

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.

On providing smoking cessation services in alcohol and other drug treatment settings: Results from a U.S. national survey of attitudes among recovering persons

BACKGROUND

Nicotine addiction through cigarette use is highly prevalent among individuals suffering from alcohol and other drug (AOD) problems and remains a prominent risk factor for morbidity, mortality, and healthcare utilization. Whereas most people agree that providing smoking cessation services (SCS) to this vulnerable population is vitally important, the timing of such service provision has been hotly debated, including whether such services should be excluded, available (but not offered), offered, or fully integrated into AOD treatment settings. Important stakeholders in this debate are those in recovery from AOD problems who, in addition to having often been AOD treatment patients themselves, frequently hold influential clinical, research or policy positions and thus can influence the likelihood of SCS provision. This study sought to understand the attitudes of this important stakeholder group in providing SCS in AOD treatment settings.

METHOD

We assessed a national cross-sectional sample of individuals in recovery from an AOD problem (n = 1973) on whether SCS should be: a. excluded; b. available; c. offered; or d. integrated into AOD services. We estimated associations between participants' demographic, clinical, and recovery support service use history, and SCS attitude variables, using multinomial logistic regression.

RESULTS

Roughly equal proportions endorsed each attitudinal position (23.5% excluded, 25% available, 24.6% offered; 26.9% integrated). Correlates of holding more positive SCS implementation attitudes were Black race; primary substance other than alcohol, greater intensity of former or recent smoking, and less mutual-help organization participation; older individuals achieving recovery between 30 and 40 years ago also had more positive attitudes toward integrating SCS.

CONCLUSIONS

About half of those sampled were either against SCS inclusion in AOD settings or were in favor of making it "available" only, but not in offering it or integrating it. This oppositional pattern was accentuated particularly among those with primary alcohol problem histories and those participating in mutual-help organizations. Given the universally well-known negative health effects of smoking, understanding more about the exact reasons why certain groups of recovering persons may endorse such positions is an area worthy of further investigation, as it may uncover potential barriers to SCS implementation in AOD treatment settings.

Substance use treatment clinician attitudes to care for chronic disease health risk behaviours and associations of attitudes with care provision

INTRODUCTION AND AIMS

People who use substances have a high prevalence of modifiable chronic disease health risk behaviours. Preventive care to address such risks has not traditionally been provided during substance use treatment. This study aimed to assess clinicians' attitudes towards preventive care and their association with care provision.

DESIGN AND METHODS

A cross-sectional study utilising computer-assisted telephone interviews was undertaken with clinicians (n = 54) of community-based substance use treatment services in one health district, Australia. Clinicians indicated their agreement with 10 attitudinal statements regarding their perceived role and self-efficacy in providing preventive care and perceptions of client interest in modifying behaviours. Logistic regression analyses examined the association between clinician attitudinal items and self-reported care provision.

RESULTS

Fifty-four clinicians (74%) agreed to participate. The most positive attitudes were preventive care being part of their role (100%), and they have the knowledge and skills to provide preventive care (100%). The least favourable attitude was clients were interested in changing their health risk behaviours (60%). Clinicians who reported that preventive care left little time to undertake acute care were more likely to assess for smoking (OR 8.06 [95% CI 1.31, 49.46]) and less likely to provide brief advice for all risks combined (OR 0.11 [95% CI 0.02, 0.63]).

DISCUSSION AND CONCLUSIONS

Overall, clinicians reported positive attitudes regarding the preventive care provision for modifiable health risk behaviours in substance use treatment settings. Further research is required to investigate why, despite such positive attitudes, clinicians in substance use treatment settings do not routinely provide preventive care.

Smoking status and quit behaviors among health center patients with substance use disorders: A national study

BACKGROUND

Despite a high prevalence of smoking among individuals with substance use disorders, tobacco dependence in this vulnerable population is undertreated.

METHODS

We analyzed data from 5592 adult (≥18 years old) respondents to the 2014 Health Center Patient Survey, a nationally representative cross-sectional survey of individuals who receive care at U.S. Federally Qualified Health Centers. We evaluated self-reported smoking status, smoking-related quit behaviors (having quit, wanting or attempting to quit in the past year, and planning to quit in the next 6 months), and receipt of advice to quit smoking among participants with and without alcohol use disorder (AUD) and drug use disorder (DUD).

RESULTS

Current smoking was common among individuals with AUD (64.3%) and DUD (55.0%). Few patients with AUD or DUD had quit smoking (16.7% and 24.0%, respectively). Smokers with AUD had higher odds of wanting to quit smoking in the past year (adjusted odds ratio = 2.88; 95% confidence interval = 1.19, 7.05), but were not more likely to have made a past-year quit attempt. DUD was not significantly associated with smoking-related quit behaviors. Smokers with AUD or DUD, as well as those who engaged in treatment for AUD or DUD, did not differ significantly from other smokers in receipt of advice to quit smoking.

CONCLUSIONS

Smokers with AUD and DUD were unlikely to have quit smoking despite interest in quitting. Our findings suggest a need for individualized tobacco treatment approaches in patients with AUD and DUD and missed opportunities to provide tobacco cessation counseling during addiction treatment.

Smoking cessation in the context of recovery from drug and alcohol problems: Prevalence, predictors, and cohort effects in a national U.S. sample

BACKGROUND

Tobacco and alcohol and other drug (AOD) use remain prominent risk factors for morbidity, mortality, and health care utilization. Moreover, these often cluster together within persons, exponentiating health risks. Little is known regarding if and when people resolving AOD problems stop smoking, who stops, and whether recent general population trends toward smoking cessation are evident also among persons more recently entering recovery.

DESIGN AND PARTICIPANTS

National cross-sectional sample resolving AOD problems (final sample n = 2002).

ANALYSES

Weighted smoking/cessation prevalence; logistic regressions; Hazard-models estimated time to smoking cessation overall, and for different cohorts entering recovery during one of three decades: a) 2006-2015; b) 1996-2005; c) 1986-1995.

RESULTS

Approximately 30% of U.S. adults in AOD recovery with a smoking history stopped smoking before entering recovery, 7% quit smoking and AOD use concurrently, 26% stopped after entering recovery; 37% still smoked. Among those quitting after entering recovery, the prevalence of smoking cessation 5- and 10-years later was 27.2% and 55.1% respectively for the 2006-2015 cohort and 14.9% and 34.5% in the 1986-1995 cohort; time to smoking cessation also was 60% shorter (5yrs vs. 8yrs). Time to smoking cessation was associated with education and income, but not 12-step participation or AOD treatment.

CONCLUSIONS

Smoking rates among those in AOD recovery are more than double that of the general population but those entering recovery in recent years are stopping and stopping sooner. It is plausible that public health-oriented tobacco policy measures and easier access to smoking cessation aids may be contributing to this salutary trend.

Characteristics and clinical treatment of tobacco smokers enrolled in a VA substance use disorders clinic

Individuals with a substance use disorder (SUD) diagnosis are more than twice as likely to smoke cigarettes as the general population. Emerging research has suggested that treating a substance use disorder simultaneously with tobacco use leads to a higher rate of treatment success for both substances. Despite this, substance use treatment protocols tend not to focus on tobacco use; in fact, traditional substance use treatments often discourage patients from attempting to quit smoking. One rationale is that patients may not be motivated to quit smoking. In the current study, data from veterans enrolled in outpatient treatment for a SUD were examined to assess for general characteristics of smokers as compared to non-smokers as well as to examine motivation to quit smoking. Baseline (i.e., pre-treatment) data from 277 Veterans were used. Charts of smokers in the SUD clinic (SUDC) were reviewed to assess how smoking is handled by SUDC providers, and if smokers attempt cessation. Of 277, 163 (59%) SUDC patients reported that they currently smoke cigarettes (M=16.3 cigarettes per day, SD=11.1). Smokers in the clinic reported greater general impairment than nonsmokers on the Short Index of Problems, F(1248)=8.9, p=0.003, as well as greater specific impairment: Physical Problems, F(1258)=13.5, p=0.000; Interpersonal Problems, F(1262)=5.6, p=0.019; Intrapersonal Problems, F(1260)=6.5, p=0.011, and Social Responsibility, F(1262)=14.7, p=0.000. Smokers in the sample were marginally more anxious than their non-smoking counterparts as measured by the GAD-7, F(1254)=4.6, p=0.053, though they were not significantly more depressed (p=0.19). On a 1-10 scale, smokers reported moderate levels of importance (M=5.4, SD=3.1), readiness (M=5.6, SD=3.2), and confidence (M=5.0, SD=3.0) regarding quitting smoking. Review of smokers' medical records reveal that while SUDC providers assess tobacco use at intake (90%) and offer treatment (86.5%), a substantially small portion of smokers attempt cessation (41.1%) while enrolled in SUDC. Moreover, no patients were enrolled in smoking-specific behavioral interventions while in SUDC, though 78 patients did obtain nicotine replacement or another smoking cessation medication (41% were prescribed by a SUDC provider). Contrary to the belief that treatment-seeking substance users are not motivated to quit smoking, these preliminary analyses demonstrate that Veterans were at least contemplating quitting smoking while they were enrolled in substance use treatment. Further, there is evidence that cigarette smokers have greater impairment caused by substance use, suggesting that this subgroup is of particular high need. Specific treatment recommendations are discussed, including how behavioral health providers in SUD clinics may be better able to capitalize on patients' moderate motivation to quit at intake.

Factors associated with implementation of the 5A's smoking cessation model

Background

Several health organizations have adopted the 5A’s brief intervention model (Ask, Advise, Assess, Assist, Arrange), based on evidence-based guidelines for smoking cessation. We examine individual, cognitive, behavioral, and organizational factors associated with the 5A’s performance among clinical healthcare workers in Catalonia. We also investigate how these factors interact and potentially predict the implementation of each component of the 5A’s.

Methods

A cross-sectional survey was conducted among clinical health workers enrolled in an online smoking cessation training course (n = 580). The survey included questions about individual characteristics as well as cognitive, behavioral, and organizational factors previously identified in research. We assessed self-reported performance of the 5A’s, assessed on a scale from 0 to 10, and used Multivariate regression to examine factors associated with its performance.

Results

The performance means (standard deviation) were moderate for the first 3A’s [Ask: 6.4 (3.1); Advise: 7.1 (2.7); Assess: 6.3 (2.8)] and low for the last 2A’s [Assist: 4.4 (2.9); Arrange: 3.2 (3.3)]. We observed a high correlation between Assist and Arrange (r = 0.704, p < 0.001). Having positive experiences and feeling competent were positively associated with performing the 5A’s model and having organizational support with Assist and Arrange. Personal tobacco use among healthcare workers was negatively associated with Advice and Arrange.

Conclusions

Our study found that clinical healthcare workers do not perform the 5A’s completely. The main barriers identified suggest the need of training and making available practical guidelines in healthcare services. Organizational support is essential for moving towards the implementation of Assist and Arrange.

Electronic supplementary material

The online version of this article (10.1186/s12971-017-0146-7) contains supplementary material, which is available to authorized users.

Prevalence of and Factors Related to Tobacco Ban Implementation in Substance Use Disorder Treatment Programs

This study examined the prevalence of and factors (psychological climate for change and staff attributes) related to indoor and outdoor tobacco bans for patients, employees, and visitors in U.S. substance use disorder treatment programs. Data were collected from a random sample of 1,026 program administrators. Almost all programs banned tobacco use indoors and around one third banned tobacco use outdoors. When there was no tobacco ban, the majority of programs restricted smoking to designated indoor and/or outdoor areas. Further, all psychological climate for change factors (perceived program support, perceived tobacco culture, and tobacco ban beliefs) but none of the staff attributes (percentage licensed/certified clinicians, percentage clinicians with master's degrees, total staff with education in health-related field) were significantly related to the implementation of comprehensive tobacco bans (both indoors and outdoors).

The prominence of smoking-related mortality among individuals with alcohol- or drug-use disorders

INTRODUCTION AND AIMS

Even though individuals with substance-use disorders have a high prevalence of tobacco smoking, surprisingly little is known about smoking-related mortality in these populations. The current retrospective cohort study aims to address this gap.

DESIGN AND METHODS

The study sample included cohorts of individuals hospitalised in California between 1990 and 2005 with alcohol- (n = 509 422), cocaine- (n = 35 276), opioid- (n = 53 172), marijuana- (n = 15 995) or methamphetamine-use (n = 36 717) disorders. Death records were linked to inpatient data. Age-, race- and sex-adjusted standardised mortality ratios (SMR) were generated for 19 smoking-related causes of death.

RESULTS

Smoking-related conditions comprised 49% (79 188/163 191) of total deaths in the alcohol, 40% (1412/3570) in the cocaine, 39% (4285/11 091) in the opioid, 42% (554/1332) in the methamphetamine and 36% (1122/3095) in the marijuana cohorts. The SMRs for all smoking-linked diseases were: alcohol, 3.57 (95% confidence interval [CI] = 3.55 to 3.58); cocaine, 2.40 (95% CI = 2.39 to 2.41); opioid, 4.26 (95% CI = 4.24 to 4.27); marijuana, 3.73 (95% CI = 3.71 to 3.74); and methamphetamine, 2.58 (95% CI = 2.57 to 2.59). The SMRs for almost all of the 19 cause-specific smoking-related outcomes were elevated across cohorts.

DISCUSSION AND CONCLUSIONS

Given the current findings, addressing tobacco smoking among persons with substance-use disorders should be a critical concern, especially given the heavy smoking-related mortality burden and the currently limited attention devoted to smoking in these populations. [Callaghan RC, Gatley JM, Sykes J, Taylor L. The prominence of smoking-related mortality among individuals with alcohol- or drug-use disorders. Drug Alcohol Rev 2018;37:97-105].

Commitment and capacity for providing evidence-based tobacco treatment in US drug treatment facilities

BACKGROUND

Although people with mental illness, including substance use disorders, consume 44% of cigarettes in the United States, few facilities provide tobacco treatment. This study assesses staff- and facility-level drivers of tobacco treatment in substance use treatment.

METHODS

Surveys were administered to 405 clinic directors selected from a comprehensive inventory of 3800 US outpatient facilities. The main outcome was the validated 7-item Index of Tobacco Treatment Quality. Other measures included the validated Tobacco Treatment Commitment Scale and indicators of facility resources for providing tobacco treatment.

RESULTS

Stepwise model selection was used to determine the relationship between capacity/resources and treatment quality. The final model retained 7 items and had good fit (adjusted R² = 0.43). Four capacities significantly predicted treatment quality. Structural equation modeling (SEM) was used to test the impact of staff commitment on treatment quality; the model had good fit and the relationship was significant (comparative fit index [CFI] = 0.951, root mean square error of approximation [RMSEA] = 0.054). Adding the 7 capacity/resources maintained similar model fit (CFI = 0.922, RMSEA = 0.053). Staff commitment was slightly strengthened in this model, with a rise in parameter estimate from 0.449 to 0.560. All resource/capacity items were also significant predictors of treatment quality; the strongest was receiving training in how to provide tobacco treatment (0.360), followed by dedicated staff time (0.279) and having a policy that requires staff to offer treatment (0.272).

CONCLUSIONS

Staff commitment to providing tobacco treatment was the strongest predictor of tobacco treatment quality, followed by resources for providing treatment. Interventions to change staff attitudes and improve resources for tobacco treatment have the strongest potential for improving quality of care.

The role of middle managers in tobacco control after a national smoke-free hospital campus ban

BACKGROUND

Much of the recent health services research on tobacco control implementation has explored general views and perceptions of health professionals and has rarely taken into account middle management's perspectives. We state that middle managers may facilitate the implementation of smoke-free campus bans and thereby improve their effectiveness. The aim of this study was to assess middle managers' behaviors to enforce a new national smoke-free hospital campus ban, to evaluate their perceptions of the level of compliance of the new regulation, and to explore their attitudes towards how smoking affects the work environment.

METHODS

We used a cross-sectional survey, conducted online to evaluate middle managers of a general hospital in Catalonia, Spain. Close-ended and open-ended questions were included. Results were analyzed by using quantitative and qualitative methods. The managers' open opinions to the proposed topics were assessed using UCINET, and a graph was generated in NetDraw.

RESULTS

Sixty-three of the invited managers (78.7 %) participated in the survey. 87.2 % of them agreed that the hospital complied with the smoke-free campus ban and 79.0 % agreed that managers have an important role in enforcing the ban. They also perceived that smoking disturbs the dynamics of work, is a cause of conflict between smokers and non-smokers, and harms both the professional and the organization images. However, 96.8 % of respondents have never given out fines or similar measures and their active role in reminding others of the policy was limited; in addition, 68.2 % considered that hospitals should provide tobacco cessation treatments. Smoker middle managers were more likely than non-smokers to perceive that smoking has little impact on work.

CONCLUSIONS

Middle managers play a limited role in controlling tobacco consumption; smokers are less prone to think that smoking disturbs work dynamics than non-smokers. Tailored training and clear proceedings for middle managers could encourage more active roles.

A mixed-method systematic review and meta-analysis of mental health professionals' attitudes toward smoking and smoking cessation among people with mental illnesses

BACKGROUND AND AIMS

People with mental illnesses and substance abuse disorders are important targets for smoking cessation interventions. Mental health professionals (MHPs) are ideally placed to deliver interventions, but their attitudes may prevent this. This systematic review therefore aimed to identify and estimate quantitatively MHPs attitudes towards smoking and main barriers for providing smoking cessation support and to explore these attitudes in-depth through qualitative synthesis.

METHODS

The online databases AMED, EMBASE, Medline, PsychINFO, HMIC and CINAHL were searched in March 2015 using terms relating to three concepts: 'attitudes', 'mental health professionals' and 'smoking cessation'. Quantitative or qualitative studies of any type were included. Proportions of MHPs' attitudes towards smoking and smoking cessation were pooled across studies using random effects meta-analysis. Qualitative findings were evaluated using thematic synthesis.

RESULTS

Thirty-eight studies including 16 369 participants were eligible for inclusion. Pooled proportions revealed that 42.2% [95% confidence interval (CI) = 35.7-48.8] of MHPs reported perceived barriers to smoking cessation interventions, 40.5% (95% CI = 30.4-51.0) negative attitudes towards smoking cessation and 45.0% (95% CI = 31.9-58.4) permissive attitudes towards smoking. The most commonly held beliefs were that patients are not interested in quitting (51.4%, 95% CI = 33.4-69.2) and that quitting smoking is too much for patients to take on (38%, 95% CI = 16.4-62.6). Qualitative findings were consistent with quantitative results, revealing a culture of smoking as 'the norm' and a perception of cigarettes as a useful tool for patients and staff.

CONCLUSIONS

A significant proportion of mental health professionals hold attitudes and misconceptions that may undermine the delivery of smoking cessation interventions; many report a lack of time, training and confidence as main barriers to addressing smoking in their patients.

Implementation of smoking cessation treatment in substance use disorder treatment settings: a review

BACKGROUND

The high prevalence of smoking among individuals receiving treatment for substance use disorder (SUD) has led to repeated calls for integrating smoking cessation treatment into these settings.

OBJECTIVES

This review summarizes key findings from the research on the implementation of smoking cessation in SUD treatment.

METHODS

PubMed searches of articles published from 2000 to 2015 yielded 48 empirical studies that focused on the delivery of smoking cessation in the US specialty SUD treatment settings in which organizations and counselors were the unit of analysis. Most studies used observational designs to gather data from organizations and counselors. Organizational studies show that few SUD treatment programs offer cessation counseling or pharmacotherapy. Organizational barriers include limited training, inadequate resources, and cultural norms that do not recognize smoking cessation as part of the organization's mission. Smoking cessation services are more likely to be available in medically oriented treatment settings, larger treatment programs, those offering a broader array of comprehensive services, and those that are more reliant on fee-for-service reimbursement (e.g., insurance, Medicaid). Surveys of counselors also show very low implementation. Counselors' personal skills and attitudes, their perceptions of managerial and coworker support for smoking cessation, and the availability of resources and reimbursement to support these services are correlated with implementation. State policies requiring treatment programs to offer tobacco treatment increase both adoption and implementation, yet these services continue to reach only modest percentages of the patients.

CONCLUSIONS

Few studies have tested specific implementation strategies. Such research is needed to determine how to accelerate the diffusion of these evidence-based practices to the SUD treatment field.

Medicaid, Private Insurance, and the Availability of Smoking Cessation Interventions in Substance Use Disorder Treatment

OBJECTIVE

Integration of smoking cessation services in substance use disorder treatment would benefit many patients. Although prior studies have identified organizational characteristics associated with delivery of these services, less is known regarding associations between financial factors and the availability of smoking cessation services. This study examined whether reliance on Medicaid and private insurance revenues is associated with the availability of a formal counseling-based smoking cessation program and medications (sustained-release bupropion, varenicline, and nicotine replacement) within U.S. specialty treatment organizations.

METHODS

Administrators of a national sample of 372 treatment organizations participated in face-to-face structured interviews from October 2011 to December 2013. Participants provided data regarding smoking cessation services, revenue sources, and other organizational characteristics. Multiple imputation was used to address missing data, and models were estimated by using logistic regression with adjustment for clustering of organizations within states.

RESULTS

Greater reliance on Medicaid revenues was positively associated with the odds of offering counseling-based smoking cessation programs, sustained-release bupropion, varenicline, and nicotine replacement. For example, a 10-percentage point increase in Medicaid revenues was associated with a 12% increase in the odds of offering a smoking cessation program. Reliance on private insurance revenues was positively associated with the odds of offering the three medications.

CONCLUSIONS

The findings point to future potential increases in the availability of smoking cessation services in the context of expanding insurance coverage under health care reform. Longitudinal research will be needed to examine whether this impact is realized.

Substance Use Disorder Counselors' Reports of Tobacco Cessation Services Availability, Implementation, and Tobacco-related Knowledge

PURPOSE

Adolescence is a prime developmental stage for early tobacco cessation (TC) intervention. This study examined substance use disorder counselors' reports of the availability and implementation of TC services (behavioral treatments and pharmacotherapies) in their treatment programs and the relationship between their tobacco-related knowledge and implementation of TC services.

METHODS

Survey data were collected in 2012 from 63 counselors working in 22 adolescent-only treatment programs. Measures included 15 TC behavioral treatments, nine TC pharmacotherapies, and three tobacco-related knowledge scales (morbidity/mortality, modalities and effectiveness, pharmacology).

RESULTS

First, nine of the 15 behavioral treatments are reported as being available by more than half of counselors; four of the 15 behavioral treatments are used by counselors with more than half of adolescents. Of the nine pharmacotherapies, availability of the nicotine patch is reported by almost 40%, buproprion by nearly 30%, and clonidine by about 21% of counselors. Pharmacotherapies are used by counselors with very few adolescents. Second, counselors' tobacco-related knowledge varies based on the knowledge scale examined. Third, we only find a significant positive relationship between counselors' implementation of TC behavioral treatments and TC modalities and effectiveness knowledge.

DISCUSSION

Findings suggest that more behavioral treatments should be made available in substance use disorder treatment programs considering that they are the main treatment recommendation for adolescents. Counselors should be encouraged to routinely use a wide range of available behavioral treatments. Finally, counselors should be encouraged to expand their knowledge of TC modalities and effectiveness because of the relationship with behavioral treatments implementation.

Capturing illicit drug use where and when it happens: an ecological momentary assessment of the social, physical and activity environment of using versus craving illicit drugs

AIMS

To understand the environmental and contextual influences of illicit cocaine and heroin use and craving using mobile health (mHealth) methods.

DESIGN

Interactive mHealth methods of ecological momentary assessment (EMA) were utilized in the Exposure Assessment in Current Time (EXACT) study to assess drug use and craving among urban drug users in real time. Participants were provided with mobile devices and asked to self-report every time they either craved (without using) or used heroin or cocaine for 30 days from November 2008 through May 2013.

SETTING

Baltimore, MD, USA.

PARTICIPANTS

A total of 109 participants from the AIDS Linked to the IntraVenous Experience (ALIVE) study.

MEASUREMENTS

For each drug use or craving event, participants answered questions concerning their drug use, current mood and their social, physical and activity environments. Odds ratios (OR) of drug use versus craving were obtained from logistic regression models with generalized estimating equations of all reported events.

FINDINGS

Participants were a median of 48.5 years old, 90% African American, 52% male and 59% HIV-infected. Participants were significantly more likely to report use rather than craving drugs if they were with someone who was using drugs [adjusted odds ratio (aOR) = 1.45, 95% confidence interval (CI) = 1.13, 1.86), in an abandoned space (aOR = 6.65, 95% CI = 1.78, 24.84) or walking/wandering (aOR = 1.68, 95% CI = 1.11, 2.54). Craving drugs was associated with being with a child (aOR = 0.26, 95% CI = 0.12, 0.59), eating (aOR = 0.54, 95% CI = 0.34, 0.85) or being at the doctor's office (aOR = 0.31, 95% CI = 0.12, 0.80).

CONCLUSIONS

There are distinct drug using and craving environments among urban drug users, which may provide a framework for developing real-time context-sensitive interventions.

Factors Linked to Substance Use Disorder Counselors' (Non)Implementation Likelihood of Tobacco Cessation 5 A's, Counseling, and Pharmacotherapy

STUDY BACKGROUND

Despite efforts to promote the use of tobacco cessation services (TCS), implementation extensiveness remains limited. This study investigated three factors (cognitive, behavioral, environmental) identified by social cognitive theory as predictors of substance use disorder counselors' likelihood of use versus non-use of tobacco cessation (TC) 5 A's (ask patients about tobacco use, advise to quit, assess willingness to quit, assist in quitting, arrange for follow-up contact), counseling, and pharmacotherapy with their patients who smoke cigarettes.

METHODS

Data were collected in 2010 from 942 counselors working in 257 treatment programs that offered TCS. Cognitive factors included perceived job competence and TC attitudes. Behavioral factors encompassed TC-related skills and general training. External factors consisted of TC financial resource availability and coworker TC attitudes. Data were analyzed using logistic regression models with nested data.

RESULTS

Approximately 86% of counselors used the 5 A's, 76% used counseling, and 53% used pharmacotherapy. When counselors had greater TC-related skills and greater general training they were more likely to implement the 5 A's. Implementation of counseling was more likely when counselors had more positive attitudes toward TC treatment, greater general training, greater financial resource availability, and when coworkers had more positive attitudes toward TC treatment. Implementation of pharmacotherapy was more likely when counselors had more positive attitudes toward TC treatment, greater general training, and greater financial resource availability.

CONCLUSION

Findings indicate that interventions to promote TCS implementation should consider all three factors simultaneously as suggested by social cognitive theory.

Relationship between Low-Income Patient Census and Substance Use Disorder Treatment Programs' Availability of Tobacco Cessation Services

Low income adults with substance use disorders (SUDs) have a high prevalence of tobacco use and often limited access to tobacco cessation treatment. This study examines the relationship between low-income SUD patient census (i.e., percentage of patients whose treatment costs are covered by Medicaid and Federal block grants) and SUD programs' availability of three evidence-based tobacco cessation services: behavioral treatments, system-level support, and pharmacotherapy. Data were collected from a random sample of 1,006 program administrators in 2010. Mixed-effects models results show that the percentage of low-income patients is significantly positively associated with the availability of behavioral treatments and system-level support but not pharmacotherapy. Thus, low-income patients may have similar access to tobacco cessation pharmacotherapy but greater access to behavioral treatments and system-level support. However, the availability of tobacco cessation services is not widespread overall, which may hamper access to extensive services to address low-income SUD patients' high smoking rates.

Counselor and clinical supervisor perceptions of OASAS tobacco-free regulation implementation extensiveness, perceived accountability, and use of resources

New York State required substance use disorder (SUD) treatment programs to be 100% tobacco-free in 2008. The current study examined counselor (N = 364) and clinical supervisor (N = 98) perceptions of how extensively the tobacco-free regulation was implemented in their treatment programs, perceived accountability for implementing the regulation, and use of OASAS-provided resources to aid implementation one year after the regulation went into effect. Results showed that compared to counselors, supervisors perceive greater implementation extensiveness and report using more resources, yet they perceive lower accountability. In addition, whereas perceived accountability is significantly and positively associated with implementation extensiveness perceptions for counselors, the relationship is negative for supervisors. The association between use of resources and implementation extensiveness perceptions is significant and positive for both counselors and supervisors. We conclude that implementation experiences differ between counselors and clinical supervisors, suggesting the importance of tailoring interventions to promote tobacco-free policies in SUD treatment programs.

Clinicians' perceptions of implementation extensiveness of 100% tobacco free practices: a longitudinal study of New York state

In 2008, the state of New York required substance use disorder treatment organizations to be 100% tobacco-free. This longitudinal study examined clinicians' perceptions of the implementation extensiveness of the tobacco-free practices approximately 10-12 months (Time 1) and 20-24 months (Time 2) post regulation and investigated whether clinicians' commitment to change and use of provided resources at Time 1 predicts perceptions of implementation extensiveness at Time 2. Clinicians (N = 287) noted a mean implementation of 5.60 patient practices (0-10 scale), 2.33 visitor practices (0-8 scale), and 6.66 employee practices (0-12 scale) at Time 1. At Time 2, clinicians perceived a mean implementation of 5.95 patient practices (no increase from Time 1), 2.89 visitor practices (increase from Time 1), and 7.12 employee practices (no increase from Time 1). Commitment to change and use of resources positively predicted perceived implementation extensiveness of visitor and employee practices. The use of resources positively predicted implementation for patient practices.

A quasi-experimental study examining New York State's tobacco-free regulation: effects on clinical practice behaviors

BACKGROUND

On July 24, 2008, New York State (NYS) became the first state to require all state-funded or state-certified substance use disorder (SUD) treatment organizations to be 100% tobacco-free and offer tobacco cessation (TC) treatment.

METHODS

The current study used a quasi-experimental, non-equivalent control group design with a pretest and posttest to examine the effect of the NYS tobacco-free regulation on three clinical practice behaviors (use of TC-related intake procedures, use of guideline recommended counseling for TC, and pharmacotherapy availability) in a diverse sample of SUD treatment programs. Repeated cross-sectional data were collected from NYS counselors (experimental group) and non-NYS counselors (control group) approximately 4 months pre-regulation (N=282 and 659, respectively) and 10-12 months post-regulation (N=364 and 733, respectively).

RESULTS

Using mixed-effects models, results at pre-regulation indicate no group differences in the three clinical practice behaviors. However, significant post-regulation effects were found such that the experimental group reports greater use of TC-related intake procedures, guideline recommended counseling, and availability of pharmacotherapy than the control group. Additionally, the experimental but not the control group shows increases in all three clinical practice behaviors from pre-regulation to post-regulation.

CONCLUSIONS

We conclude that the NYS tobacco-free regulation had a significant and positive effect on promoting patient TC efforts among counselors.

Cigarette smoking and quit attempts among injection drug users in Tijuana, Mexico

INTRODUCTION

Injection drug use and cigarette smoking are major global health concerns. Limited data exist regarding cigarette smoking behavior and quit attempts among injection drug users (IDUs) in low- and middle-income countries to inform the development of cigarette smoking interventions. We conducted a cross-sectional study to describe cigarette smoking behavior and quit attempts among IDUs in Tijuana, Mexico.

METHODS

IDUs were recruited through community outreach and administered in-person interviews. Multivariable Poisson regression models were constructed to determine prevalence ratios (PRs) for quit attempts.

RESULTS

Of the 670 participants interviewed, 601 (89.7%) were current smokers. Of these, median number of cigarettes smoked daily was 10; 190 (31.6%) contemplated quitting smoking in the next 6 months; 132 (22.0%) had previously quit for ≥1 year; and 124 (20.6%) had made a recent quit attempt (lasting ≥1 day during the previous 6 months). In multivariable analysis, recent quit attempts were positively associated with average monthly income (≥3,500 pesos [US$280] vs. <1,500 pesos [US$120]; PR = 2.30; 95% CI = 1.57-3.36), smoking marijuana (PR = 1.38; 95% CI = 1.01-2.90), and smoking heroin (PR = 1.85; 95% CI = 1.23-2.78), and they were negatively associated with number of cigarettes smoked daily (PR = 0.96; 95% CI = 0.94-0.98).

CONCLUSIONS

One out of 5 IDUs attempted to quit cigarette smoking during the previous 6 months. Additional research is needed to improve the understanding of the association between drug use patterns and cigarette smoking quit attempts, including the higher rate of quit attempts observed among IDUs who smoke marijuana or heroin compared with IDUs who do not smoke these substances.

The index of tobacco treatment quality: development of a tool to assess evidence-based treatment in a national sample of drug treatment facilities

Background

Quitting smoking improves health and drug use outcomes among people in treatment for substance abuse. The twofold purpose of this study is to describe tobacco treatment provision across a representative sample of U.S. facilities and to use these data to develop the brief Index of Tobacco Treatment Quality (ITTQ).

Methods

We constructed survey items based on current tobacco treatment guidelines, existing surveys, expert input, and qualitative research. We administered the survey to a stratified sample of 405 facility administrators selected from all 3,800 U.S. adult outpatient facilities listed in the SAMHSA Inventory of Substance Abuse Treatment Services. We constructed the ITTQ with a subset of 7 items that have the strongest clinical evidence for smoking cessation.

Results

Most facilities (87.7%) reported that a majority of their clients were asked if they smoke cigarettes. Nearly half of facilities (48.6%) reported that a majority of their smoking clients were advised to quit. Fewer (23.3%) reported that a majority of their smoking clients received tobacco treatment counseling and even fewer facilities (18.3%) reported a majority of their smoking clients were advised to use quit smoking medications. The median facility ITTQ score was 2.57 (on a scale of 1–5) and the ITTQ displayed good internal consistency (Cronbach’s alpha = .844). Moreover, the ITTQ had substantial test-retest reliability (.856), and ordinal confirmatory factor analysis found that our one-factor model for ITTQ fit the data very well with a CFI of 0.997 and an RMSEA of 0.042.

Conclusions

The ITTQ is a brief and reliable tool for measuring tobacco treatment quality in substance abuse treatment facilities. Given the clear-cut room for improvement in tobacco treatment, the ITTQ could be an important tool for quality improvement by identifying service levels, facilitating goal setting, and measuring change.

Perceived implementation of the Office of Alcoholism and Substance Abuse Services (OASAS) tobacco-free regulation in NY State and clinical practice behaviors to support tobacco cessation: a repeated cross-sectional study

This study measured substance use disorder clinicians' perceptions regarding the implementation extensiveness of the Office of Alcohol and Substance Abuse Services (OASAS) tobacco-free regulation, passed in New York State in July of 2008, at three time-points and across organizations with varying characteristics. Repeated cross-sectional data were collected from clinicians approximately 4months pre-regulation (time 0, n=362), 10-12months post-regulation (time 1, n=462), and 20-24months post-regulation (time 2, n=509). Clinician perceptions of implementation extensiveness (number of required policies in effect), use of tobacco cessation-related intake procedures, and use of guideline recommended counseling for treating tobacco dependence are significantly greater at time 1 and time 2 compared to time 0. Additionally, differences are found in perceived implementation extensiveness based on hospital-based status, profit status, and level of care offered, although the pattern of effects differed some over the three time-points under investigation.

Sustainment of smoking cessation programs in substance use disorder treatment organizations

INTRODUCTION

The majority of individuals who enter substance use disorder (SUD) treatment also use tobacco. Integrating smoking cessation services into SUD treatment may have substantial public health benefits, but few studies have examined whether organizations offering counseling-based smoking cessation programs sustain them over time.

METHODS

This study examines sustainment of smoking cessation programs using 2 waves of data collected from 150 SUD treatment organizations. Data were collected in 2006-2008 and 2009-2010 using face-to-face interviews, telephone interviews, and mailed surveys. Logistic regression models of sustainment were estimated with administrators' attitudes toward smoking cessation and organizational barriers as covariates.

RESULTS

About 60.2% of these SUD treatment organizations sustained their counseling-based smoking cessation programs at follow-up. Sustainment was significantly more likely when administrators' baseline attitudes about the impact of smoking cessation on recovery were more supportive (odds ratio, OR = 1.84; 95% confidence interval, CI = 1.13-3.01; p =.015) and when programs were accredited (OR = 3.95, 95% CI = 1.65-9.50, p =.002). Worsening over time of barriers encompassing staff interest, staff skills, and competing treatment demands were negatively associated with sustainment (OR = 0.58, 95% CI = 0.42-0.81, p =.001).

CONCLUSIONS

These findings provided empirical support for theoretical perspectives regarding the importance of leadership and staff expertise in promoting sustainment of innovations over time. Although the majority of SUD treatment organizations sustained their smoking cessation programs, the 40% rate of discontinuation is concerning and highlights the ongoing challenges faced by tobacco control efforts in substance abuse treatment.