Thomas H. Brandon’s research while affiliated with University of South Florida and other places

Purpose Smoking after cancer impairs cancer treatment outcomes and prognosis, regardless of cancer type. Prior data suggest that patients with cancers other than lung or head/neck cancer had lower cessation motivation, which in turn predicted lower smoking abstinence. This study evaluated feasibility for a future efficacy trial and assessed the acceptability of brief self-help materials, targeted by cancer type, to enhance cessation motivation. Methods Patients had a diagnosis of skin melanoma, breast, bladder, colorectal, or gynecological cancers within ≤ 6 months, smoked ≥ 1 cigarette in the past month, and were not currently participating in a cessation program. After completing a baseline assessment, participants received the booklet corresponding to their cancer type. Follow-ups were conducted 1 week and 1 month post-intervention. Results Among 118 patients potentially eligible, 109 were successfully contacted and 53 patients were eligible and all consented. Among consenting patients, 92.5% completed baseline, and 90.6% received the intervention. Among patients receiving the intervention, 91.7% completed all study procedures and follow-up. At 1 month, 87.5% reported reading the booklet and 92.8% rated it as good/excellent. Motivation to quit smoking increased over time among those with lower motivation at baseline, 33.3% sought smoking cessation assistance, and 25.0% were smoke-free 1 month post-intervention. Conclusion This study demonstrated the feasibility and acceptability of the first intervention developed for patients with cancers not typically associated with smoking. This low-cost and easy to disseminate intervention has potential to increase motivation to quit smoking among patients with cancers not typically perceived as smoking-related.

Significance: Smoking rates have declined in the U.S. over the last several decades but vary by population subgroup. Hispanic adults generally have lower smoking rates than Non-Hispanic White individuals, but this varies greatly by country of origin, with some Hispanic subgroups, such as Puerto Ricans, reaching smoking prevalence rates up to 28%. Hispanic smokers have lower success rates in cessation attempts and are less likely to receive assistance in quitting, highlighting their unique cessation needs. The purpose of this systematic review was to determine the quantity and range of smoking cessation interventions targeted to Hispanic adults. Methods: A systematic literature search, following PRISMA guidelines, was conducted across seven databases, trial registries, and grey literature published until April 2024. Two authors independently screened titles, abstracts, and full texts for eligibility using Covidence. Study characteristics (e.g., intervention modality, language availability, cultural specificity) and outcomes were narratively summarized, and quality assessment was conducted. A meta-analysis is planned to evaluate the efficacy of smoking cessation interventions tested in RCTs, with a minimum follow-up of 6 months. The association between intervention type/modality and efficacy will be assessed via subgroup analyses. Results: A total of 8,844 records were identified and screened by reviewers. Of these, 456 studies were assessed for full-text eligibility, 49 studies with targeted interventions were identified for inclusion, of which 10 met criteria for meta- analysis. Of the 49 interventions identified, 44 interventions were offered in Spanish, 26 were culturally specific, and 34 had a majority Hispanic sample. Many interventions utilized multiple intervention modalities and included adjunct components. Types of interventions included behavioral counseling (n=26): in person (n=22) or over the phone (n=4), written self-help (n=6), text messaging (n=5), mass media campaigns (n=3), web-site applications or social media (n=3), pharmacotherapy with a behavioral adjunct (n=3), group counseling (n=2), and one smartphone application (n=1). Cessation rates ranged from 8% to 55%. No studies disaggregated smoking outcomes by Hispanic sub-group. Among the RCTs to be included in the planned meta-analysis, 5 out of 10 studies were culturally specific. Methodological quality for these studies ranged from weak (60%) to strong (10%). Conclusions: This systematic review summarizes the quantity and types of smoking cessation interventions for Hispanic smokers. Existing interventions vary in modality and are frequently offered in Spanish. However, few studies were tailored to values of Hispanic culture, and none addressed differences in smoking behavior among Hispanics by country of origin. Among the RCTs, most trials were rated as methodologically weak based on the Cochrane Risk of Bias tool. Results from this review may inform the development of future interventions, specifically guiding the design of rigorous randomized cessation trials for Hispanics. Citation Format: Honor M. Woodward, Ranjita Poudel, Helen Yates, Ursula Martinez, Mary-Katherine Haver, Jennifer I. Vidrine, Youngchul Kim, Thomas H. Brandon, Vani N. Simmons. Smoking cessation interventions for Hispanic/Latinx adults in the United States: Results from a systematic review [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B022.

Introduction: Among the Hispanic/Latinx population in the US, four of five leading causes of death are attributed to smoking. Few evidence-based interventions have been developed to improve smoking cessation for this population. Our team has demonstrated the efficacy of a culturally targeted, extended self-help intervention for Spanish-speaking smokers, estimating a smoking abstinence rate of 33% at 24 months, compared to 24% for usual care. Further efforts are needed to enhance this efficacious, low-cost, scalable intervention approach. Machine learning (ML) is one approach to increase understanding of the predictors of treatment outcomes and inform strategies to improve the intervention. Toward that goal, this secondary data analysis utilized the decision tree (DT) model to predict self-reported 7-day point prevalence abstinence at 18-month follow-up for participants receiving our intervention. Method: Data from participants who reported smoking status at an 18-month follow-up (N=332 of 714 enrolled, 36% abstinent) were randomly split (80:20) into training and test datasets based on smoking status. We entered demographics, psychosocial, and smoking variables collected at baseline as predictors in the model. In addition to handling missing values and normalizing numeric features, we employed the Synthetic Minority Over-sampling Technique (SMOTE) combined with Tomek links (SMOTE-Tomek) to improve inter-class separability. Recursive Feature Elimination (RFE) using DT was implemented to identify the most relevant predictors. The cross-validation (CV) pipeline incorporated preprocessing, feature selection, handling class-imbalance, over-sampling, and model training with a DT as the interpretable classifier. Hyperparameters were tuned using stratified K-fold (K=5) CV to optimize parameters using Grid search. F1 score was selected as the primary metric as it accounts for each class performance by combining the precision and recall metrics. Finally, the performance of the classifier was evaluated in 20% of the unseen dataset. Results: The DT classifier for the CV achieved the F1 score of 0.73 [95% CI 0.66, 0.77], revealing a reasonably good performance in identifying smokers at 18-months. RFE selected familism, age, affect, and confidence as the most relevant predictors of smoking status. Individuals who had lower familism scores (<138), combined with higher age (>50), were more likely to be smokers at 18 months. Individuals who had higher familism scores (>138) combined with higher negative affect (>42) were more likely to be smokers. Conclusion: This study provides the first step toward personalized care for smoking cessation among the Hispanic/Latinx population and demonstrates the potential of DT classifier to predict cessation outcomes among individuals who received and completed a culturally and linguistically targeted smoking cessation intervention. Our future analysis will compare this model with conventional statistical modeling approaches and other ML algorithms to identify the best-performing parsimonious model. Citation Format: Ranjita Poudel, K. Ruwani M. Fernando, Matthew B. Schabath, Steven K. Sutton, Thomas H. Brandon, Issam El Naqa, Vani N. Simmons. A machine learning approach to predicting smoking cessation outcomes among Spanish-speaking smokers who completed a culturally targeted intervention [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B019.

Smoking by cancer patients impairs treatment outcomes and prognoses across cancer types. Previous research shows greater smoking cessation motivation and quit rates among patients with cancers strongly linked to smoking (i.e., thoracic, head and neck) compared to other cancer types (e.g., melanoma). Therefore, there is a need to increase cessation motivation among patients with malignancies less commonly associated with smoking. Yet, no targeted educational materials exist to meet this information gap. This manuscript describes the development of theory-based self-help educational materials, targeted by cancer type, to increase motivation to quit smoking among patients with cancers not widely perceived as smoking-related (i.e., breast, melanoma, bladder, colorectal, gynecological). Using a three-phase iterative process, we first conducted in-depth interviews with our intended audience (N = 18) to identify information needs and nuanced content. Themes included patients’ low knowledge about the connection between smoking and cancer etiology and outcomes; negative affect, habit, dependence, and weight gain as quitting barriers; and a preference for positive and non-judgmental content. Second, content creation was based on interview findings, the scientific literature, and framed following the teachable moment model. Last, learner verification and revisions via interviews with 22 patients assessed suitability of draft materials, with generally favorable responses. Resulting edits included tailoring cost savings to the cancer context, explaining cessation medications, and increasing appeal by improving the diversity (e.g., race) of the individuals in the photographs. The final booklets are low cost, easy to disseminate, and—pending efficacy studies—may expand smoking cessation to a wider spectrum of cancer patients.

Background Promoting smoking cessation is recognized as an essential part of cancer care. Moffitt Cancer Center, supported by the National Cancer Institute Cancer Moonshot Cancer Center Cessation Initiative, developed and implemented an opt-out-based automatic electronic health record (EHR)-mediated referral (e-referral) system for Tobacco Quitline services along with options for local group cessation support and an in-house tobacco treatment specialist. This study evaluated barriers and facilitators for implementation of the e-referral system. Method Steering committee members (N=12) responsible for developing and implementing the new clinical workflow and nurses (N=12) who were expected to use the new e-referral system completed semi-structured interviews. Qualitative thematic content analyses were conducted. Results Interviewees perceived the e-referral system as an effective strategy for identifying and referring smokers to cessation services. However, barriers were noted including competing demands and perceptions that smoking cessation was a low priority and that some patients were likely to have low motivation to quit smoking. Suggestions to improve future implementation and sustainability included providing regular trainings and e-referral outcome reports and increasing the visibility of the e-referral system within the EHR. Conclusion Initial implementation of the e-referral system was perceived as successful; however, additional implementation strategies are needed to ensure sustainability at both the clinician and system levels. Recommendations for future modifications include providing regular clinician trainings and developing a fully closed-loop system. Implications for cancer survivors Initial implementation of an e-referral system for smoking cessation for cancer patients revealed opportunities to improve the smoking cessation referral process at cancer centers.

Objective: Racial and ethnic disparities in smoking cessation persist. This randomized controlled trial compared the efficacy of group cognitive behavioral therapy (CBT) for cessation among African American/Black, Latino/Hispanic, and White adults. Method: African American/Black (39%), Latino/Hispanic (29%), and White (32%) adults (N = 347) were randomly assigned to eight group sessions of CBT or general health education (GHE), both including nicotine patch therapy. Biochemically confirmed 7-day point prevalence abstinence (7-day ppa) was measured at the end-of-therapy, and at 3-, 6-, and 12-month follow-ups. Generalized linear mixed models and logistic regressions tested abstinence rates by condition, stratified by race and ethnicity, and interaction effects. Results: CBT led to greater abstinence than GHE across 12-months of follow-up (AOR = 1.84, 95% CI [1.59, 2.13]) overall [12-month follow-up: CBT = 54% vs. GHE = 38%] and within racial and ethnic groups [12-months: African American/Black (CBT = 52%, GHE = 29%), Latino/Hispanic (CBT = 57%, GHE = 47%), and White (CBT = 54%, GHE = 41%)]. African American participants were less likely than White participants to quit irrespective of condition, as were persons with lower education and income. Socioeconomic status indicators positively predicted abstinence among racial and ethnic minority participants, but not White participants. Conclusions: Group CBT was efficacious compared with GHE. However, cessation patterns suggested that intensive group interventions were less beneficial over the longer term among lower socioeconomic African American and Latino individuals, compared with White participants. Tobacco interventions should target racial and ethnic and socioeconomic differences, via culturally specific approaches and other means.

Background: The combined use of cigarettes and alcohol is associated with a synergistic increase in the risk of morbidity and mortality. Continued alcohol use during a smoking quit attempt is a considerable risk factor for smoking relapse. As such, there is a need for interventions that address both behaviors concurrently. Mindfulness-based interventions hold much promise for simultaneously addressing tobacco and alcohol use. Method: This pilot study evaluated the feasibility and acceptability of a mindfulness-based intervention using a two-arm randomized controlled trial of Mindfulness-Based Relapse Prevention for Smoking and Alcohol (MBRP-SA) vs Cognitive Behavioral Therapy (CBT). Interventions were delivered via telehealth in a group setting; all participants received a 6-week supply of the nicotine patch. Participants (N = 69) were adults who smoked cigarettes who reported binge drinking and were motivated to both quit smoking and change their alcohol use. Primary outcomes were feasibility and acceptability of MBRP-SA compared to CBT. Changes in tobacco and alcohol use are also presented. Results: Participants in MBRP-SA and CBT indicated that the treatments were highly acceptable, meeting a priori benchmarks. Feasibility was mixed with some outcomes meeting benchmarks (e.g., recruitment) and others falling below (e.g., retention). Participants in both conditions demonstrated significant reductions in tobacco and alcohol use at the end of treatment. Conclusions: In sum, MBRP-SA had comparable outcomes to CBT on all metrics measured. Future research should evaluate the efficacy of MBRP-SA on smoking abstinence and drinking reductions in a large-scale, fully powered trial. This study was registered on clinicaltrials.gov (NCT03734666).

Objective: Electronic cigarettes are the most commonly used tobacco products by young adults. Measures of beliefs about outcomes of use (i.e., expectancies) can be helpful in predicting use, as well as informing and evaluating interventions to impact use. Methods: We surveyed young adult students (N = 2296, Mean age=20.0, SD=1.8, 64 % female, 34 % White) from a community college, a historically black university, and a state university. Students answered ENDS expectancy items derived from focus groups and expert panel refinement using Delphi methods. Factor Analysis and Item Response Theory (IRT) methods were used to understand relevant factors and identify useful items. Results: A 5-factor solution [Positive Reinforcement (consists of Stimulation, Sensorimotor, and Taste subthemes, α = .92), Negative Consequences (Health Risks and Stigma, α = .94), Negative Affect Reduction (α = .95), Weight Control (α = .92), and Addiction (α = .87)] fit the data well (CFI=0.95; TLI=0.94; RMSEA=0.05) and was invariant across subgroups. Factors were significantly correlated with relevant vaping measures, including vaping susceptibility and lifetime vaping. Hierarchical linear regression demonstrated factors were significant predictors of lifetime vaping after controlling for demographics, vaping ad exposure, and peer/family vaping. IRT analyses indicated that individual items tended to be related to their underlying constructs (a parameters ranged from 1.26 to 3.18) and covered a relatively wide range of the expectancies continuum (b parameters ranged from -0.72 to 2.47). Conclusions: A novel ENDS expectancy measure appears to be a reliable measure for young adults with promising results in the domains of concurrent validity, incremental validity, and IRT characteristics. This tool may be helpful in predicting use and informing future interventions. Implications: Findings provide support for the future development of computerized adaptive testing of vaping beliefs. Expectancies appear to play a role in vaping similar to smoking and other substance use. Public health messaging should target expectancies to modify young adult vaping behavior.

Introduction Hispanic smokers face multiple cultural and socioeconomic barriers to cessation that lead to prominent health disparities, including a lack of language-appropriate, culturally relevant, evidence-based smoking cessation interventions. This systematic review will examine the literature on smoking cessation interventions for Hispanic adults in the USA to assess (1) the availability of interventions, (2) the methodological quality of the studies evaluating the interventions and (3) the efficacy of the interventions. Methods and analysis A systematic literature search will be conducted, in English with no date limits, through the following databases starting at year of inception: Medical Allied Health Literature, Embase, American Psychology Association Psychology Articles, Cumulative Index to Nursing and Allied Health Literature Complete, ScienceDirect, Health & Medicine Collection and Web of Science Core Collection. Trial registries and grey literature sources will be searched to identify ongoing or unpublished studies. Literature search will be rerun prior to eventual submission of the review to ensure the inclusion of relevant studies. Quantitative studies evaluating the efficacy of a smoking cessation intervention (ie, smoking cessation as a measured outcome) for Hispanic adult smokers in the USA will be included in the systematic review. Two authors will independently identify relevant studies, extract data and conduct quality and risk of bias assessments. Discrepancies in coding will be discussed between the two reviewers and pending disagreements will be resolved by a third reviewer. First, the quality of all studies will be assessed, then randomised controlled trials (RCTs) will be further evaluated for risk of bias using Cochrane’s Risk of Bias Tool. All eligible studies will be summarised descriptively. If data allow, the efficacy of smoking cessation interventions tested in RCTs, with a minimum follow-up of 6 months, will be quantitatively estimated using ORs and 95% CIs. The association between intervention type/modality and efficacy will be assessed via subgroup analyses. PROSPERO registration number CRD42022291068.

Introduction: The US Food and Drug Administration (FDA) and other organizations have produced and disseminated public health campaigns designed to deter youth from vaping. Yet it is unknown how these campaigns affect adult smokers exposed to these messages with respect to their perceptions of e-cigarettes and their motivation to use these products to reduce or quit smoking. Methods: A controlled experimental design was used to investigate effects of an FDA-distributed youth-targeted anti-vaping public service announcement (PSA), "Vaping is an Epidemic," upon adult smokers. We randomized 161 daily smokers to view either the FDA PSA or a matched video absent of e-cigarette content, and we hypothesized that the PSA would impact variables related to harm reduction usage of e-cigarettes, including cognitive expectancies, perceived harm, smoking cessation effectiveness, and reported likelihood of switching from smoking to vaping. Results: The PSA produced increases in both health risk and potency expectancies. Viewing the PSA compared to the control video resulted in overall more negative expectancies about e-cigarettes and all other variables related to harm reduction usage. Those who viewed the PSA rated e-cigarettes as more harmful (p < .001) and less effective for smoking cessation (p < .01), and they reported lower switching motivation (p < .001). Conclusions: Findings indicated that adult smokers who viewed the PSA were less likely to consider e-cigarettes for smoking cessation, thus reducing acceptance of a potential cessation aid with growing empirical support. Sensationalized youth-oriented anti-vaping messages may have unintended public health consequences upon adult audiences. Implications: This study is the first controlled experiment examining the effects of youth-oriented anti-vaping PSAs upon adult smokers' cognitive expectancies and beliefs about e-cigarettes. Exposure to the PSA resulted in overall more negative expectancies about e-cigarettes, as well as increased perceived harmfulness and reduced effectiveness of e-cigarettes for smoking cessation. Findings showed that these PSAs could deter adult smokers from utilization of e-cigarettes as a smoking cessation or harm reduction strategy.