In-person and telephone treatment of tobacco dependence: a comparison of treatment outcomes and participant characteristics

Comparing In-Person, Telephonic, and Video-Based Treatment of Depression in Adult Primary Care During the COVID-19 Pandemic

INTRODUCTION

The COVID-19 pandemic forced a rapid shift toward virtual modalities for the treatment of depression in primary care.

METHODS

Participants were adults 18 years and older with a new episode of depression diagnosed in primary care between March 1, 2020, and May 21, 2021, and moderate-to-severe symptoms of depression at the time of diagnosis (N = 9619). Outcomes were 1) antidepressant medications prescribed and dispensed (referred to as received), as well as adherence to those medications; 2) referrals made to depression-related services and the receipt of those services; and 3) a follow-up visit completed with the diagnosing practitioner regardless of treatment actions.

RESULTS

Patients were 42.4 ± 17.8 years old, and 77.6% had moderate-to-severe symptoms at diagnosis. Most patients were women (70.4%), 48.2% were Hispanic, and 8.4% were Black. Telephone visits were associated with 64% increased odds of having an antidepressant prescribed when compared to in-person visits. However, patients prescribed an antidepressant during a telephone visit were 52% less likely to receive this prescription when compared to patients who were prescribed an antidepressant during an in-person visit. Telephone and video visits were associated with 48% and 37% decreased odds, respectively, of having a follow-up visit with the prescribing practitioner when compared to an in-person visit.

CONCLUSION

Telemedicine for depression in adult primary care may result in greater antidepressant prescribing than in-person care, but these medications are less likely to be received. This study's findings suggest that health systems should adjust electronic decision support tools (such as mail-order pharmacies) to ensure virtual care decisions are implemented.

Tailored text-messaging versus standard Quitline telephone counselling for smoking cessation among people who smoke from a low-socio-economic status background in Australia: A study protocol for a non-inferiority randomized controlled trial (The Quit By Phone Study)

BACKGROUND AND AIMS

Signficant inequalities in tobacco smoking exist, with higher smoking rates among people from low-socio-economic status (low-SES) populations. Tailored technology-based programs for low-SES smoking populations have the potential for high reach, but require effectiveness data from large-scale trials. This trial among Australians who smoke from a low-SES background will determine the effectiveness and cost-effectiveness of tailored text-message (TTM) support compared with standard Quitline (SQL) telephone support service.

DESIGN, SETTING AND PARTICIPANTS

This is a two-arm, parallel group, randomized, non-inferiority trial with allocation concealment and blinded outcome assessment in an Australian population within the greater Sydney region in New South Wales. Participants are adults who smoke daily (n = 1246), are interested in quitting and currently receiving a government pension or allowance, and will be recruited via advertisements.

INTERVENTION AND COMPARATOR

Participants will be randomized (1:1 ratio) to receive either 12 months of TTM quit support or enrolment in SQL telephone support.

MEASUREMENTS

Assessments will be completed at baseline (telephone interview), within 1 month (check-in call), at 3 months (on-line questionnaire) and 12 months (telephone interview) post-randomization. The primary outcome will be 6-month continuous abstinence verified by carbon monoxide breath test at 12-month follow-up. The study will test whether TTM is non-inferior to SQL by a non-inferiority margin of 2%, i.e. the quit rate in the TTM group will be no worse than 2% less than the quit rate in the SQL group. Secondary outcomes will include self-reported continuous and point prevalence abstinence and acceptability and cost-effectiveness of TTM versus SQL.

CONCLUSION

Should the tailored text-message support prove non-inferior and more cost-effective than Quitline for this population, this will provide an opportunity for the upscaling of an effective, inexpensive and tailored quit support service. The trial findings will inform cessation treatment policy for priority populations in Australia and globally.

Tobacco Dependence Treatment in Oncology: Initial Patient Clinical Characteristics and Outcomes from Roswell Park Comprehensive Cancer Center

Despite the importance of smoking cessation to cancer care treatment, historically, few cancer centers have provided treatment for tobacco dependence. To address this gap, the National Cancer Institute (NCI) launched the Cancer Center Cessation Initiative (C3i). As part of this effort, this study examined implementation outcomes in a cohort of cancer survivors (CSs) who smoked cigarettes in the first year of an ongoing process to develop and implement a robust Tobacco Treatment Service at Roswell Park Comprehensive Cancer Center. We provide a comprehensive description of the new tobacco use assessment and referral process, and of the characteristics of cancer survivors who agreed to treatment including traditional tobacco-related psychosocial and cancer treatment-related characteristics and novel characteristics such as delay discounting rates. We also examine characteristic differences among those who agreed to treatment between those who attended and those who did not attend treatment. As the new tobacco assessment was implemented, the number of referrals increased dramatically. The mean number of treatment sessions attended was 4.45 (SD = 2.98) and the six-month point prevalence intention to treat abstinence rate among those who attended was 22.7%. However, only 6.4% agreed to treatment and 4% attended at least one treatment session. A large proportion of cancer survivors who agreed to treatment were women, of older age, of lower socioeconomic status (SES), and who had high levels of depressive symptomology. The findings demonstrate that the implementation of system changes can significantly improve the identification of cancer survivors who use tobacco and are referred to tobacco use treatment. Among those who attend, treatment is effective. However, the findings also suggest that a systematic assessment of barriers to engagement is needed and that cancer survivors may benefit from additional treatment tailoring. We present plans to address these implementation challenges. Systematic electronic medical record (EMR)-sourced referral to tobacco treatment is a powerful tool for reaching cancer survivors who smoke, but more research is needed to determine how to enhance engagement and tailor treatment processes.

Systematic review of behavioural smoking cessation interventions for older smokers from deprived backgrounds

INTRODUCTION

The associations between smoking prevalence, socioeconomic group and lung cancer outcomes are well established. There is currently limited evidence for how inequalities could be addressed through specific smoking cessation interventions (SCIs) for a lung cancer screening eligible population. This systematic review aims to identify the behavioural elements of SCIs used in older adults from low socioeconomic groups, and to examine their impact on smoking abstinence and psychosocial variables.

METHOD

Systematic searches of Medline, EMBASE, PsychInfo and CINAHL up to November 2018 were conducted. Included studies examined the characteristics of SCIs and their impact on relevant outcomes including smoking abstinence, quit motivation, nicotine dependence, perceived social influence and quit determination. Included studies were restricted to socioeconomically deprived older adults who are at (or approaching) eligibility for lung cancer screening. Narrative data synthesis was conducted.

RESULTS

Eleven studies met the inclusion criteria. Methodological quality was variable, with most studies using self-reported smoking cessation and varying length of follow-up. There were limited data to identify the optimal form of behavioural SCI for the target population. Intense multimodal behavioural counselling that uses incentives and peer facilitators, delivered in a community setting and tailored to individual needs indicated a positive impact on smoking outcomes.

CONCLUSION

Tailored, multimodal behavioural interventions embedded in local communities could potentially support cessation among older, deprived smokers. Further high-quality research is needed to understand the effectiveness of SCIs in the context of lung screening for the target population.

PROSPERO REGISTRATION NUMBER

CRD42018088956.

Assessment of Self-Management Treatment Needs Among COPD Helpline Callers

Telephone quitlines are an effective population-based strategy for smoking cessation, particularly among individuals with tobacco-related diseases such as chronic obstructive pulmonary disease (COPD). Expanding quitline services to provide COPD-focused self-management interventions is potentially beneficial; however, data are needed to identify specific treatment needs in this population. We conducted a telephone-based survey (N = 5,772) to examine educational needs, behavioral health characteristics, and disease-related interference among individuals with COPD who received services from the American Lung Association (ALA) Lung Helpline. Most participants (73.7%) were interested in COPD-focused information, and few had received prior instruction in breathing exercises (33.9%), energy conservation (26.5%), or airway clearing (32.1%). About one-third of participants engaged in regular exercise, 16.3% followed a special diet, and 81.4% were current smokers. Most participants (78.2%) reported COPD-related interference in daily activities and 30.8% had been hospitalized within the past six months for their breathing. Nearly half of participants (45.4%) reported current symptoms of anxiety or depression. Those with vs. without anxiety/depression had higher rates of COPD-related interference (83.9% vs. 73.5%, p < .001) and past six-month hospitalization (33.4% vs. 28.3%, p < .001). In conclusion, this survey identified strong interest in disease-focused education; a lack of prior instruction in specific self-management strategies for COPD; and behavioral health needs in the areas of exercise, diet, and smoking cessation. Anxiety and depression symptoms were common and associated with greater disease burden, underscoring the importance of addressing coping with negative emotions. Implications for self-management treatments that target multiple behavioral needs of COPD patients are discussed.

Cognitive, Behavioral, and Situational Influences on Relapse to Smoking After Group Treatment for Tobacco Dependence

Socioeconomic disparities in treatment failure rates for evidence-based tobacco dependence treatment are well-established. Adapted cognitive behavioral treatments are extensively tailored to meet the needs of lower socioeconomic status (SES) smokers and dramatically improve early treatment success, but there is little understanding of why treatment failure occurs after a longer period of abstinence than with standard treatment, why early treatment success is not sustained, and why long-term treatment failure rates are no different from standard treatments. We sought to understand the causes of treatment failure from the perspective of diverse participants who relapsed after receiving standard or adapted treatment in a randomized control trial. We used a qualitative approach and a cognitive-behavioral framework to examine themes in responses to a semi-structured post-relapse telephone interview. The primary causes of relapse were familiar (i.e., habit, stress, unanticipated precipitating events). The adapted treatment appeared to improve the management of habits and stress short-term, but did not adequately prepare respondents for unanticipated events. Respondents reported that they would have benefited from continued support. New therapeutic targets might include innovative methods to reduce long-term treatment failure by delivering extended relapse prevention interventions to support early treatment success. Trial Registration: Clinicaltrials.gov NCT02785536.

Quitline treatment dose predicts cessation outcomes among safety net patients linked with treatment via Ask-Advise-Connect

The efficacy of tobacco treatment delivered by state quitlines in diverse populations is well-supported, yet little is known about associations between treatment dose and cessation outcomes following the implementation of Ask-Advise-Connect (AAC), an electronic health record-based systematic referral process that generates a high volume of proactive calls from the state quitline to smokers. The current study is a secondary analysis of a 34-month implementation trial evaluating ACC in 13 safety-net clinics in Houston, TX. Treatment was delivered by a quitline and comprised up to five proactive, telephone-delivered multi-component cognitive-behavioral treatment sessions. Associations between treatment dose and abstinence were examined. Abstinence was assessed by phone six months after treatment enrollment, and biochemically confirmed via mailed saliva cotinine. Among smokers who enrolled in treatment and agreed to follow-up (n = 3704), 29.2% completed no treatment sessions, 35.5% completed one session, 16.4% completed two sessions, and 19.0% completed ≥three sessions. Those who completed one (vs. no) sessions were no more likely to report abstinence (OR: 0.98). Those who completed two (vs. no) sessions were nearly twice as likely to report abstinence (OR: 1.83). Those who completed ≥three (vs. no) sessions were nearly four times as likely to report abstinence (OR: 3.70). Biochemically-confirmed cessation outcomes were similar. Most smokers received minimal or no treatment, and treatment dose had a large impact on abstinence. Results highlight the importance of improving engagement in evidence-based treatment protocols following enrollment. Given that motivation to quit fluctuates, systematically offering enrollment to all smokers at all visits is important.

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The majority of smokers received minimal or no evidence-based tobacco treatment.

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Smokers who completed 0 or 1 treatment sessions were unlikely to achieve abstinence.

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Completion of 2 calls doubled the likelihood of abstinence at 6 months.

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Completion of ≥3 calls was associated with a near quadrupling of abstinence rates.

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Improving engagement in evidence-based treatment protocols is a research priority.

Enrollee Characteristics in an Intensive Tobacco Dependence Treatment Program: The Relationship of Race and Sex to Demographic Factors and Tobacco Use Patterns

Intensive tobacco treatment programs offer many advantages relative to other treatment options, particularly for more complex patients, e.g., highly nicotine dependent, or those with medical and psychiatric symptoms and disorders. Efforts to better understand those who choose to enroll in these programs, particularly regarding the characteristics they possess known to mediate outcomes, are important considerations in tailoring available services. In this study, we examined how participants differed on key descriptive and tobacco use variables within race (i.e., African-American, Caucasian) and sex subgroups. Baseline characteristics from a large group of consecutive program enrollees were examined across targeted subgroups. Strong racial effects and some sex effects were noted for marital status, education, employment and health insurance status, alcohol consumption, presence of medical and psychiatric disorders, as well as participant tobacco use patterns and tobacco use rates of family, friends and coworkers. The differences in participant tobacco use measures across race and sex factors remained significant after adjusting for the confounding effects of all other covariates. These findings have implications for characterizing key patient subgroups who present at tobacco treatment clinics. Such information may contribute to options for tailoring treatment regimens.

Preferences for the Provision of Smoking Cessation Education Among Cancer Patients

Many individuals who use tobacco will continue to smoke after a cancer diagnosis and throughout treatment. This study aims to better understand cancer patient preferences to learn about smoking cessation. All new patients seen at Princess Margaret Cancer Centre between 1 January 2014 and 30 June 2015 were asked to complete the Combined Tobacco History Survey as part of standard new patient assessments. Smoking status, second hand smoke exposure, years smoked, family support, cessation preferences, demographic and tumour details were collected. Multivariable regression assessed factors associated with smoking cessation educational preferences. Nine thousand and one hundred ten patients completed the survey. One thousand and six hundred ninety-one were current smokers (17 %) of which 43 % were female and median age was 57 years (range 18-95). One thousand and two hundred thirty-eight (73 %) were willing to consider quitting and 953 (56 %) reported a readiness to quit next month. Patients were most interested in pamphlets (45 %) followed by telephone support (39 %), speaking with a healthcare professional (29 %), website (15 %), support group (11 %) and speaking with successful former smokers (9 %). Younger patients (≤45 years) preferred receiving smoking cessation education over the telephone (50 %; p < 0.001), while older patients (46-65 years and >65 years) preferred smoking education to be provided in pamphlets (43 and 51 %, respectively; p = 0.07). In multivariable analyses, older patients were more likely to prefer pamphlets than younger patients OR 1.11 (95 % CI 1.01-1.23; p = 0.03). Older cancer patients preferred to receive smoking cessation education through pamphlets and younger patients preferred the telephone. Tailored provision of cessation education resources for cancer patients is warranted.

Improving tobacco dependence treatment outcomes for smokers of lower socioeconomic status: A randomized clinical trial

INTRODUCTION

Evidence-based treatments for tobacco dependence are significantly less effective for smokers of lower socioeconomic status which contributes to socioeconomic disparities in smoking prevalence rates and health. We aimed to reduce the socioeconomic gradient in treatment outcomes by systematically adapting evidence-based, cognitive-behavioral treatment for tobacco dependence for diverse lower socioeconomic smokers.

METHODS

Participants were randomized to adapted or standard treatment, received six 1-h group treatment sessions, and were followed for six months. We examined the effectiveness of the adapted treatment to improve treatment outcomes for lower socioeconomic groups.

RESULTS

Participants (n=227) were ethnically, racially, and socioeconomically diverse. The adapted treatment significantly reduced the days to relapse for the two lowest socioeconomic groups: SES1: M=76.6 (SD 72.9) vs. 38.3 (SD 60.1) days to relapse (RR=0.63 95% CI, 0.45, 0.88, p=0.0013); SES2: M=88.2 (SD 67.3) vs. 40.1 (SD 62.6 days to relapse (RR=0.57 95% CI, 0.18, 0.70, p=0.0024). Interactions between socioeconomic status and condition were significant for initial abstinence (OR=1.26, 95% CI 1.09, 1.46, p=0.002), approached significance for 3-month abstinence (OR=0.90, 95% CI 0.80, 1.01, p<0.071), and were not significant for 6-month abstinence (OR=0.99 95% CI 0.88, 1.10, p=0.795). No significant differences in long-term abstinence were observed.

CONCLUSION

Systematic adaption of evidence-based treatment for tobacco dependence can significantly improve initial and short-term treatment outcomes for diverse lower socioeconomic smokers and reduce inequities in days to relapse. Novel methods of providing targeted extended support are needed to improve long-term outcomes.

The Process of Adapting the Evidence-Based Treatment for Tobacco Dependence for Smokers of Lower Socioeconomic Status

INTRODUCTION

Tobacco use is the leading cause of preventable death and disease and contributes significantly to socioeconomic health disparities. The prevalence of smoking among individuals of lower socioeconomic status (SES) in the US, many of whom are African American (AA), is three to four times greater than the prevalence of smoking among individuals of higher SES. The disparity in tobacco dependence treatment outcomes between lower and higher SES smokers contributes to tobacco-related health disparities and calls for adapting evidence-based treatment to more fully meet the needs of lower SES smokers.

AIMS

We sought to adapt the evidence-based treatment for tobacco dependence using recommended frameworks for adapting evidence-based treatments.

METHODS

We systematically applied the recommended steps for adapting evidence-based treatments described by Barrera and Castro and Lau. The steps included information gathering, preliminary adaptation design, preliminary adaptation tests, and adaptation refinement. We also applied the PEN-3 Model for incorporating AA values and experiences into treatment approaches and a community-engaged approach.

RESULTS/FINDINGS

Findings from each step in the process contributed to the results. The final results were incorporated into a revised treatment called the RITCh Study Tobacco Dependence Treatment Manual and Toolkit.

CONCLUSIONS

To our knowledge, this is the first adaptation of evidence-based treatment for tobacco dependence that has systematically applied these recommended frameworks. The efficacy of the treatment to reduce treatment outcome disparities is now being examined in a randomized controlled trial in which the revised treatment is being compared with a standard, individualized cognitive-behavioral approach.

Delay discounting rates: a strong prognostic indicator of smoking relapse

BACKGROUND

Recent evidence suggests that several dimensions of impulsivity and locus of control are likely to be significant prognostic indicators of relapse.

METHOD

One-hundred and thirty-one treatment seeking smokers were enrolled in six weeks of multi-component cognitive-behavioral therapy with eight weeks of nicotine replacement therapy.

ANALYSIS

Cox proportional hazard regressions were used to model days to relapse with each of the following: delay discounting of $100, delay discounting of $1000, six subscales of the Barratt Impulsiveness Scale (BIS), Rotter's Locus of Control (RLOC), Fagerstrom's Test for Nicotine Dependence (FTND), and the Perceived Stress Scale (PSS). Hazard ratios for a one standard deviation increase were estimated with 95% confidence intervals for each explanatory variable. Likelihood ratios were used to examine the level of association with days to relapse for different combinations of the explanatory variables while accounting for nicotine dependence and stress level.

RESULTS

These analyses found that the $100 delay discounting rate had the strongest association with days to relapse. Further, when discounting rates were combined with the FTND and PSS, the associations remained significant. When the other measures were combined with the FTND and PSS, their associations with relapse non-significant.

CONCLUSIONS

These findings indicate that delay discounting is independently associated with relapse and adds to what is already accounted for by nicotine dependence and stress level. They also signify that delay discounting is a productive new target for enhancing treatment for tobacco dependence. Consequently, adding an intervention designed to decrease discounting rates to a comprehensive treatment for tobacco dependence has the potential to decrease relapse rates.

Socioeconomic disparities in telephone-based treatment of tobacco dependence

OBJECTIVES

We examined socioeconomic disparities in tobacco dependence treatment outcomes from a free, proactive telephone counseling quitline.

METHODS

We delivered cognitive-behavioral treatment and nicotine patches to 6626 smokers and examined socioeconomic differences in demographic, clinical, environmental, and treatment use factors. We used logistic regressions and generalized estimating equations (GEE) to model abstinence and account for socioeconomic differences in the models.

RESULTS

The odds of achieving long-term abstinence differed by socioeconomic status (SES). In the GEE model, the odds of abstinence for the highest SES participants were 1.75 times those of the lowest SES participants. Logistic regression models revealed no treatment outcome disparity at the end of treatment, but significant disparities 3 and 6 months after treatment.

CONCLUSIONS

Although quitlines often increase access to treatment for some lower SES smokers, significant socioeconomic disparities in treatment outcomes raise questions about whether current approaches are contributing to tobacco-related socioeconomic health disparities. Strategies to improve treatment outcomes for lower SES smokers might include novel methods to address multiple factors associated with socioeconomic disparities.