Dental staff and patient attitudes about nicotine replacement therapy samples in dental care: A National Dental Practice-Based Research Network study.

OBJECTIVES: Cigarette smoking negatively affects oral health. Nicotine replacement therapies (NRT; e.g. nicotine patch or lozenge) and brief interventions (e.g. Ask-Advise-Refer; AAR) can improve cessation outcomes but are underutilized. NRT sampling (NRTS) increases NRT utilization by providing patients with samples of NRT as part of routine healthcare. Ask-Advise-Refer is a brief intervention where practitioners: ask patients about tobacco use, advise those using tobacco to quit and refer to the state quit line. The objective of this qualitative study was to explore dental care practitioners' and patients' attitudes and experiences regarding tobacco cessation treatment and perceptions of two brief intervention models, assessed separately: NRTS and AAR. METHODS: Twenty-four dental care practitioners and nine patients, recruited through the National Dental Practice-Based Research Network, participated in semi-structured telephone interviews. Interviews assessed experiences with tobacco use intervention and attitudes towards NRTS and AAR. Thematic analysis identified emergent themes related to feasibility and acceptability of NRTS and AAR. RESULTS: Practitioners varied on how they address tobacco use, from systematically to idiosyncratically. Some practitioners recommend NRT; few had prescribed it. Practitioners had favourable attitudes towards AAR and NRTS, with most believing that both interventions would be acceptable and feasible to implement. Concerns regarding AAR were time and patient resistance to discussing tobacco use. Concerns regarding NRTS were patient resistance to using NRT, side effects or medication interactions, and capacity to provide follow-up. Patients reported that oral health practitioners generally ask about tobacco use but do not provide interventions. Patients were open to discussing their tobacco use with practitioners and had favourable attitudes about NRTS. CONCLUSIONS: This formative work suggests that NRTS and AAR may be feasible to implement in dental care settings. Future studies are needed to assess the effectiveness and implementation potential of NRTS in dental care settings.

Mechanism underlying a brief cognitive behavioral treatment for head and neck cancer survivors with body image distress.

PURPOSE: Body image distress (BID) among head and neck cancer (HNC) survivors is a debilitating toxicity associated with depression, anxiety, stigma, and poor quality of life. BRIGHT (Building a Renewed ImaGe after Head & neck cancer Treatment) is a brief cognitive behavioral therapy (CBT) that reduces BID for these patients. This study examines the mechanism underlying BRIGHT. METHODS: In this randomized clinical trial, HNC survivors with clinically significant BID were randomized to receive five weekly psychologist-led video tele-CBT sessions (BRIGHT) or dose-and delivery matched survivorship education (attention control [AC]). Body image coping strategies, the hypothesized mediators, were assessed using the Body Image Coping Skills Inventory (BICSI). HNC-related BID was measured with the Inventory to Measure and Assess imaGe disturbancE-Head and Neck (IMAGE-HN). Causal mediation analyses were used to estimate the mediated effects of changes in BICSI scores on changes in IMAGE-HN scores. RESULTS: Among 44 HNC survivors with BID allocated to BRIGHT (n = 20) or AC (n = 24), mediation analyses showed that BRIGHT decreased avoidant body image coping (mean change in BICSI-Avoidance scale score) from baseline to 1-month post-intervention relative to AC (p = 0.039). Decreases in BICSI-Avoidance scores from baseline to 1-month resulted in decreases in IMAGE-HN scores from baseline to 3 months (p = 0.009). The effect of BRIGHT on IMAGE-HN scores at 3 months was partially mediated by a decrease in BICSI-Avoidance scores (p = 0.039). CONCLUSIONS: This randomized trial provides preliminary evidence that BRIGHT reduces BID among HNC survivors by decreasing avoidant body image coping. Further research is necessary to confirm these results and enhance the development of interventions targeting relevant pathways to reduce BID among HNC survivors. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT03831100 .

Behavioral Activation-Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial.

BACKGROUND: Depression is common among adults who smoke cigarettes. Existing depression-specific cessation interventions have limited reach and are unlikely to improve smoking prevalence rates among this large subgroup of smokers. OBJECTIVE: This study aimed to determine whether a mobile app-based intervention tailored for depression paired with a mailed sample of nicotine replacement therapy (NRT) is efficacious for treating depression and promoting smoking cessation. METHODS: A 2-arm nationwide remote randomized clinical trial was conducted in the United States. Adults (N=150) with elevated depressive symptoms (Patient Health Questionnaire-8≥10) who smoked were enrolled. The mobile app ("Goal2Quit") provided behavioral strategies for treating depression and quitting smoking based on Behavioral Activation Treatment for Depression. Goal2Quit participants also received a 2-week sample of combination NRT. Treatment as usual participants received a self-help booklet for quitting smoking that was not tailored for depression. Primary end points included Goal2Quit usability, change in depression (Beck Depression Inventory-II) across 12 weeks, and smoking cessation including reduction in cigarettes per day, incidence of 24-hour quit attempts, floating abstinence, and 7-day point prevalence abstinence (PPA). RESULTS: In total, 150 participants were enrolled between June 25, 2020, and February 23, 2022, of which 80 were female (53.3%) and the mean age was 38.4 (SD 10.3) years. At baseline, participants on average reported moderate depressive symptoms and smoked a mean of 14.7 (SD 7.5) cigarettes per day. Goal2Quit usability was strong with a mean usability rating on the System Usability Scale of 78.5 (SD 16.9), with 70% scoring above the ≥68 cutoff for above-average usability. Retention data for app use were generally strong immediately following trial enrollment and declined in subsequent weeks. Those who received Goal2Quit and the NRT sample reported lower mean depressive symptoms over the trial duration as compared to treatment as usual (difference of mean 3.72, SE 1.37 points less; P=.01). Across time points, all cessation outcomes favored Goal2Quit. Regarding abstinence, Goal2Quit participants reported significantly higher rates of 7-day PPA at weeks 4 (11% vs 0%; P=.02), 8 (7-day PPA: 12% vs 0%; P=.02), and 12 (16% vs 2%; P=.02). CONCLUSIONS: A mobile app intervention tailored for depression paired with a sample of NRT was effective for depression treatment and smoking cessation. Findings support the utility of this intervention approach for addressing the currently unmet public health treatment need for tailored, scalable depression-specific cessation treatments. TRIAL REGISTRATION: ClinicalTrials.gov NCT03837379; https://clinicaltrials.gov/ct2/show/NCT03837379.

Rationale, design, and protocol for a hybrid type 1 effectiveness-implementation trial of a proactive smoking cessation electronic visit for scalable delivery via primary care: the E-STOP trial.

BACKGROUND: Cigarette smoking remains the leading cause of preventable disease and death in the United States. Primary care offers an ideal setting to reach adults who smoke cigarettes and improve uptake of evidence-based cessation treatment. Although U.S. Preventive Services Task Force Guidelines recommend the 5As model (Ask, Advise, Assess, Assist, Arrange) in primary care, there are many barriers to its implementation. Automated, comprehensive, and proactive tools are needed to overcome barriers. Our team developed and preliminarily evaluated a proactive electronic visit (e-visit) delivered via the Electronic Health Record patient portal to facilitate evidence-based smoking cessation treatment uptake in primary care, with promising initial feasibility and efficacy. This paper describes the rationale, design, and protocol for an ongoing Hybrid Type I effectiveness-implementation trial that will simultaneously assess effectiveness of the e-visit intervention for smoking cessation as well as implementation potential across diverse primary care settings. METHODS: The primary aim of this remote five-year study is to examine the effectiveness of the e-visit intervention vs. treatment as usual (TAU) for smoking cessation via a clinic-randomized clinical trial. Adults who smoke cigarettes are recruited across 18 primary care clinics. Clinics are stratified based on their number of primary care providers and randomized 2:1 to either e-visit or TAU. An initial baseline e-visit gathers information about patient smoking history and motivation to quit, and a clinical decision support algorithm determines the best evidence-based cessation treatment to prescribe. E-visit recommendations are evaluated by a patient's own provider, and a one-month follow-up e-visit assesses cessation progress. Main outcomes include: (1) cessation treatment utilization (medication, psychosocial cessation counseling), (2) reduction in cigarettes per day, and (3) biochemically verified 7-day point prevalence abstinence (PPA) at six-months. We hypothesize that patients randomized to the e-visit condition will have better cessation outcomes (vs. TAU). A secondary aim evaluates e-visit implementation potential at patient, provider, and organizational levels using a mixed-methods approach. Implementation outcomes include acceptability, adoption, fidelity, implementation cost, penetration, and sustainability. DISCUSSION: This asynchronous, proactive e-visit intervention could provide substantial benefits for patients, providers, and primary care practices and has potential to widely improve reach of evidence-based cessation treatment. TRIAL REGISTRATION: NCT05493254.

Remote Carbon Monoxide Capture via REDCap: Evaluation of an Integrated Mobile Application.

INTRODUCTION: To improve the feasibility of remote biochemical verification of smoking status, our team developed "COast", a mobile app integrated with REDCap that allows a research participant to complete self-report research assessments and provide a breath sample via the iCOQuit® Smokerlyzer® for the purposes of carbon monoxide (CO) testing. The aims of the present study were to examine: 1) the validity of remote CO data capture using COast as compared to gold standard approaches (salivary cotinine, stand-alone CO monitor) and 2) the feasibility of remote CO data capture using COast as applied to both daily and weekly CO collection schedules. METHODS: Participants (N=143, 59% Female), including recently quit (n=36) and current (n=107) smokers, completed a baseline video session to capture validity data, and then were randomized to daily or weekly CO monitoring for a period of one month. RESULTS: Balancing both sensitivity and specificity, optimal cut-points for defining abstinence using the COast system were < 4 parts per million (ppm) with salivary cotinine as the referent (Sensitivity = 100%, Specificity = 92.8%) and < 8ppm with the stand-alone CO monitor as the referent (Sensitivity = 100%, Specificity = 88.9%). Compliance across groups with CO monitoring was high with average compliance of 74% for the daily group and 84% for the weekly group. Self-reported feasibility and acceptability of using the system were strong. CONCLUSIONS: Pairing the iCOQuit with REDCap via the COast app was both valid and feasible among a sample of adults who smoke cigarettes enrolled remotely. This integration may help to improve the rigor of decentralized smoking cessation trials. IMPLICATIONS: With increasing prevalence of decentralized trial designs, innovative methods are needed to remotely capture biomarkers. Methods that leverage existing widely available research data capture platforms may be particularly useful for promoting adoption. The COast app, which integrates a Bluetooth-enabled carbon monoxide monitor with REDCap, is a fitting, valid, feasible solution to remotely biochemically verify smoking status.

Effect of unguided e-cigarette provision on uptake, use, and smoking cessation among adults who smoke in the USA: a naturalistic, randomised, controlled clinical trial.

Background: As summarised in the most recent Cochrane review, the few clinical trials on e-cigarettes are largely focused on smoking cessation. We aimed to determine the naturalistic uptake, use, and impact of e-cigarettes among adults who may or may not want to stop smoking. Methods: In this naturalistic, randomised, controlled clinical trial, adult smokers, across the motivational spectrum and with minimal history of e-cigarette use, were recruited online from the general community within 11 cities across the USA. Participants were randomly assigned (2:1) to either receive either a free 4-week supply of flavoured, tank-style e-cigarette, or not. E-cigarette group participants received a battery and device with up to 30 pre-filled tanks, offered among five flavours, with minimal instructions on use. The study's primary purpose was to descriptively assess naturalistic uptake and usage of the e-cigarette, and to secondarily assess its impact on smoking behavior. The latter, assessed through six months of follow-up, included: a) self-reported 7-day point prevalence abstinence, b) incidence of quit attempts, and c) smoking reduction. This trial is registered at ClinicalTrials.gov, NCT03453385. Findings: Between 5/2018 and 3/2022, 638 adult smokers were enrolled and randomly assigned (427 in the e-cigarette group and 211 in the no-product control group). Uptake of e-cigarettes was robust: approximately 70% of participants used the product, with average usage exceeding 4 days per week during the initial 30 days. Based on an intent-to-treat approach where missing data is imputed as smoking, almost all behavioral outcomes favored the e-cigarette group relative to no-product control, including point prevalence abstinence at six months (Odds Ratio [OR] = 1.8; 95% Confidence Interval [CI] = 1.0-3.1), cumulative incidence of 24-hr quit attempts (OR = 1.5; 95% CI = 1.0-2.2), and having reduced smoking by at least 50% since baseline (OR = 1.8; 95% CI = 1.2-2.7). Results were similar under an alternative imputation. Interpretation: Complementing cessation-focused trials, results suggest that unguided e-cigarette use also leads to smoking cessation, allaying the notion that causal effects of e-cigarettes on cessation are not reflective of real-world scenario of self-determined use. For smokers who may not be able to quit using existing pharmacologic approaches, e-cigarettes may be considered to achive that purpose. Funding: National Cancer Institute.

Mechanism Underlying a Brief Cognitive Behavioral Treatment for Head and Neck Cancer Survivors with Body Image Distress.

Purpose: Body image distress (BID) among head and neck cancer (HNC) survivors is a debilitating toxicity associated with depression, anxiety, stigma, and poor quality of life. BRIGHT (Building a Renewed ImaGe after Head & neck cancer Treatment) is a brief cognitive behavioral therapy (CBT) that reduces BID for these patients. This study examines the mechanism underlying BRIGHT. Methods: In this randomized clinical trial, HNC survivors with clinically significant BID were randomized to receive 5 weekly psychologist-led video tele-CBT sessions (BRIGHT) or dose-and delivery matched survivorship education (attention control [AC]). Body image coping strategies, the hypothesized mediators, were assessed using the Body Image Coping Skills Inventory (BICSI). HNC-related BID was measured with the IMAGE-HN. Causal mediation analyses were used to estimate the mediated effects of changes in BICSI scores on changes in IMAGE-HN scores. Results: Among 44 HNC survivors with BID, mediation analyses showed that BRIGHT decreased avoidant body image coping (mean change in BICSI-Avoidance scale score) from baseline to 1-month post-intervention relative to AC (p = 0.039). Decreases in BICSI-Avoidance scores from baseline to 1-month decreased IMAGE-HN scores from baseline to 3-months (p = 0.009). The effect of BRIGHT on IMAGE-HN scores at 3-months was partially mediated by a decrease in BICSI-Avoidance scores (p = 0.039). Conclusions: This randomized trial provides preliminary evidence that BRIGHT reduces BID among HNC survivors by decreasing avoidant body image coping. Further research is necessary to confirm these results and enhance the development of interventions targeting relevant pathways to reduce BID among HNC survivors. Trial Registration: This trial was registered on ClinicalTrials.gov identifier NCT03831100 on February 5, 2019.

Efficacy of a Brief Cognitive Behavioral Therapy for Head and Neck Cancer Survivors with Body Image Distress: Secondary Outcomes from the BRIGHT Pilot Randomized Clinical Trial.

Purpose: Body image distress (BID) among head and neck cancer (HNC) survivors leads to depression, social isolation, stigma, and poor quality of life. BRIGHT ( B uilding a R enewed I ma G e after H ead & neck cancer T reatment) is a brief, tailored cognitive behavioral therapy (CBT) that reduces HNC-related BID. This trial examines the effect of BRIGHT on psychosocial outcomes among HNC survivors with BID. Methods: In this pilot randomized trial, HNC survivors with clinically significant BID were randomized to 5 weekly psychologist-led tele-CBT sessions (BRIGHT) or dose-and delivery matched survivorship education (attention control [AC]). Secondary psychosocial outcomes were assessed using validated patient-reported outcomes at baseline and 1- and 3-months post-intervention. Results: Among 44 HNC survivors with BID, BRIGHT resulted in a greater reduction in depression relative to AC (mean model-based 1-month difference in Δ PROMIS SF v1.0-Depression 8a score, -3.4; 90% CI, -6.4 to -0.4; 3-month difference, -4.3; 90% CI, -7.8 to -0.8). BRIGHT also decreased shame and stigma relative to AC (mean model-based 3-month difference in Δ Shame and Stigma Scale score, -9.7; 90% CI, -15.2 to -4.2) and social isolation (mean model-based 3-month difference in Δ PROMIS SF v2.0 Social Isolation 8a score, -2.9; 90% CI, -5.8 to -0.1). Conclusions: In this planned secondary analysis of a pilot RCT, BRIGHT improved a broad array of psychosocial outcomes among HNC survivors with BID. Implications for Cancer Survivors: These promising preliminary data suggest the need for a large efficacy trial evaluating the effect of BRIGHT on psychosocial outcomes among HNC survivors with BID. Trial Registration: ClinicalTrials.gov identifier: NCT03831100.

An Open-label Pilot Study of NicoBloc as a Novel Smoking Cessation Intervention.

INTRODUCTION: NicoBloc is a viscous fluid applied to the cigarette filter designed to block tar and nicotine. This novel and understudied smoking cessation device presents a nonpharmacological means for smokers to gradually reduce nicotine and tar content while continuing to smoke their preferred brand of cigarette. This pilot study aimed to assess the feasibility, acceptability, and initial efficacy of NicoBloc as compared with nicotine replacement therapy (nicotine lozenge). METHODS: A community sample of predominately Black smokers (N = 45; 66.7% Black) were randomized to receive NicoBloc or nicotine lozenge. Both groups engaged in 4 weeks of smoking cessation therapy followed by 2 months of independent usage with monthly check-ins to assess medication adherence. The intervention lasted 12 weeks, and the study concluded with a 1-month postintervention follow-up visit (week 16). RESULTS: NicoBloc was comparable with nicotine lozenge in smoking reduction, feasibility, symptom adverse effects, and reported acceptability at week 16. Participants in the lozenge group endorsed higher treatment satisfaction ratings during the intervention and lower cigarette dependence. Adherence to NicoBloc was superior throughout the study. CONCLUSION: NicoBloc was feasible and acceptable to community smokers. NicoBloc presents a unique, nonpharmacological intervention. Future research is needed to examine whether this intervention may be most effective in subpopulations where pharmacological approaches are restricted or in combination with established pharmacological methods such as nicotine replacement therapy.

Efficacy of a brief cognitive behavioral therapy for head and neck cancer survivors with body image distress: secondary outcomes from the BRIGHT pilot randomized clinical trial.

PURPOSE: Body image distress (BID) among head and neck cancer (HNC) survivors leads to depression, social isolation, stigma, and poor quality of life. BRIGHT (Building a Renewed ImaGe after Head and neck cancer Treatment) is a brief, tailored cognitive behavioral therapy (CBT) that reduces HNC-related BID. This trial examines the effect of BRIGHT on psychosocial outcomes among HNC survivors with BID. METHODS: In this pilot randomized trial, HNC survivors with clinically significant BID were randomized to 5 weekly psychologist-led tele-CBT sessions (BRIGHT) or dose and delivery-matched survivorship education (attention control [AC]). Secondary psychosocial outcomes were assessed using validated patient-reported outcomes at baseline and 1 and 3-month post-intervention. RESULTS: Among 44 HNC survivors with BID, BRIGHT resulted in a greater reduction in depression relative to AC (mean model-based 1-month difference in Δ PROMIS SF v1.0-Depression 8a score, -3.4; 90% CI, -6.4 to -0.4; 3-month difference, -4.3; 90% CI, -7.8 to -0.8). BRIGHT also decreased shame and stigma relative to AC (mean model-based 3-month difference in Δ Shame and Stigma Scale score, -9.7; 90% CI, -15.2 to -4.2) and social isolation (mean model-based 3-month difference in Δ PROMIS SF v2.0 Social Isolation 8a score, -2.9; 90% CI, -5.8 to -0.1). CONCLUSIONS: In this planned secondary analysis of a pilot RCT, BRIGHT improved a broad array of psychosocial outcomes among HNC survivors with BID. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03831100 . IMPLICATIONS FOR CANCER SURVIVORS: These promising preliminary data suggest the need for a large efficacy trial evaluating the effect of BRIGHT on psychosocial outcomes among HNC survivors with BID.

Cannabis use prevalence, patterns, and reasons for use among patients with cancer and survivors in a state without legal cannabis access.

PURPOSE: Cannabis use among patients with cancer is common, yet data are limited regarding use patterns, reasons for use, and degree of benefit, which represents an unmet need in cancer care delivery. This need is salient in states without legal cannabis programs, where perceptions and behavior among providers and patients may be affected. METHODS: A cross-sectional survey of patients with cancer and survivors at the Hollings Cancer Center at the Medical University of South Carolina (no legal cannabis marketplace in SC) was completed as part of the NCI Cannabis Supplement. Patients (ages 18 +) were recruited using probability sampling from patient lists (N = 7749 sampled; N = 1036 completers). Weight-adjusted Chi-square tests compared demographics and cancer details among patients using cannabis since diagnosis versus those not using cannabis, while weighted descriptives are presented for cannabis use prevalence, consumption, symptom management, and legalization beliefs. RESULTS: Weighted prevalence of cannabis use since diagnosis was 26%, while current cannabis use was 15%. The most common reasons for cannabis use after diagnosis were difficulty sleeping (50%), pain (46%), and mood changes and stress, anxiety, or depression (45%). Symptom improvement was endorsed for pain (57%), stress/anxiety/depression (64%), difficulty sleeping (64%), and loss of appetite (40%). CONCLUSIONS: Among patients with cancer and survivors at a NCI-designated cancer center within SC, a state without legal access to medical cannabis, prevalence rates, and reasons for cannabis use are consistent with emerging literature in oncology populations. These findings have implications for care delivery, and work is needed to inform recommendations for providers and patients.

The Impact of Older Age on Smoking Cessation Outcomes After Standard Advice to Quit.

Older adults are a high priority population for smoking cessation. This study observed the influence of older age on the relationship between quitting predictors and cessation. Secondary analysis was conducted of a primary care trial of adults who smoke cigarettes randomized to standard advice to quit or advice plus 2 week supply of nicotine replacement therapy. Logistic regressions assessed interactions of age (<60 vs. ≥ 60 years) by predictors in relation to quit attempts and 6-month cessation controlling for treatment. Predicting quit attempts, there was an interaction of age by motivation (p = .025) and trend of age by nicotine dependence (p = .057). Predicting 6-month cessation, an interaction of age by motivation was observed (p = .020) and a trend of age by dependence (p = .067). For those with high nicotine dependence, older adults had less successful outcomes compared to younger counterparts. Yet among participants unmotivated to quit, older adults had more successful outcomes than those younger.

Proactive Electronic Visits for Smoking Cessation and Chronic Obstructive Pulmonary Disease Screening in Primary Care: Randomized Controlled Trial of Feasibility, Acceptability, and Efficacy.

BACKGROUND: Most smokers with chronic obstructive pulmonary disease (COPD) have not yet been diagnosed, a statistic that has remained unchanged for over two decades. A dual-focused telehealth intervention that promotes smoking cessation, while also facilitating COPD screening, could help address national priorities to improve the diagnosis, prevention, treatment, and management of COPD. The purpose of this study was to preliminarily evaluate an integrated asynchronous smoking cessation and COPD screening e-visit (electronic visit) that could be delivered proactively to adult smokers at risk for COPD, who are treated within primary care. OBJECTIVE: The aims of this study were (1) to examine e-visit feasibility and acceptability, particularly as compared to in-lab diagnostic pulmonary function testing (PFT), and (2) to examine the efficacy of smoking cessation e-visits relative to treatment as usual (TAU), all within primary care. METHODS: In a randomized clinical trial, 125 primary care patients who smoke were randomized 2:1 to receive either proactive e-visits or TAU. Participants randomized to the e-visit condition were screened for COPD symptoms via the COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE). Those with scores ≥2 were invited to complete both home spirometry and in-lab PFTs, in addition to two smoking cessation e-visits. Smoking cessation e-visits assessed smoking history and motivation to quit and included completion of an algorithm to determine the best Food and Drug Administration-approved cessation medication to prescribe. Primary outcomes included measures related to (1) e-visit acceptability, feasibility, and treatment metrics; (2) smoking cessation outcomes (cessation medication use, 24-hour quit attempts, smoking reduction ≥50%, self-reported abstinence, and biochemically confirmed abstinence); and (3) COPD screening outcomes. RESULTS: Of 85 participants assigned to the e-visits, 64 (75.3%) were invited to complete home spirometry and in-lab PFTs based on CAPTURE. Among those eligible for spirometry, 76.6% (49/64) completed home spirometry, and 35.9% (23/64) completed in-lab PFTs. At 1 month, all cessation outcomes favored the e-visit, with a significant effect for cessation medication use (odds ratio [OR]=3.22). At 3 months, all cessation outcomes except for 24-hour quit attempts favored the e-visit, with significant effects for cessation medication use (OR=3.96) and smoking reduction (OR=3.09). CONCLUSIONS: A proactive, asynchronous e-visit for smoking cessation and COPD screening may offer a feasible, efficacious approach for broad interventions within primary care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04155073; https://clinicaltrials.gov/ct2/show/NCT04155073.

Effects of brief exposure to misinformation about e-cigarette harms on Twitter on knowledge and perceptions of e-cigarettes.

Background: This study examined whether exposure to misinformation found on Twitter about e-cigarette harms leads to inaccurate knowledge and misperceptions of harms of e-cigarette use among cigarette smokers. Methods: We conducted an online randomized controlled experiment in November 2019 among an online sample of 2400 adult US and UK cigarette smokers who did not currently use e-cigarettes. Participants viewed four tweets in one of four conditions: 1) e-cigarettes are as or more harmful than smoking, 2) e-cigarettes are completely harmless, 3) e-cigarette harms are uncertain and 4) control (physical activity). Outcomes were knowledge about e-cigarettes and harm perceptions of e-cigarette use for five diseases. We conducted multiple logistic and linear regressions to analyze the effect of experimental conditions on outcomes, controlling for baseline knowledge and perceived harms. Findings: Participants in the 'as or more harmful' condition (vs. control group) had higher odds of accurate knowledge about e-cigarettes containing toxic chemicals (p < 0.001), not containing only water vapor (p < 0.001) and containing formaldehyde (p < 0.001). However, these participants had lower odds of accurate knowledge that e-cigarettes did not contain tar (p < 0.001) and contained fewer toxins than cigarettes (p < 0.001). Exposure to 'as or more harmful' tweets also increased harm perceptions for five diseases (all p < 0.001), with the greatest effect observed for lung cancer (ß = 0.313, p < 0.001). This effect was greater among UK participants for all diseases. Interpretation: Brief exposure to misinformation on Twitter reduced accurate knowledge of the presence of tar and the level of toxins compared with smoking and increased harm perceptions of e-cigarette use.

A pilot feasibility study of a behavioral intervention for nicotine vaping cessation among young adults delivered via telehealth.

BACKGROUND: Nicotine vaping among youth has increased, warranting concern from tobacco control proponents. Many youth who vape indicate interest in quitting; however, few empirically supported vaping cessation interventions exist. This pilot feasibility study adapted an established behavioral intervention, contingency management (CM), delivered via telehealth to promote vaping cessation among young adults. METHODS: Participants (N = 27; ages 17-21) vaping nicotine regularly were recruited via social media and digital advertisements from across the US (June 2020-January 2021). Participants were randomized at approximately 4:1 to CM or Monitoring control (22:5). CM was delivered through DynamiCare Health's smartphone app for 4 weeks, in which financial incentives were delivered contingent on abstinent cotinine samples after the quit day until the end of treatment (EOT; Days 7-28; 10 expected submissions). Control participants earned incentives for submitting cotinine, regardless of abstinence. Feasibility, acceptability, and abstinence was collected throughout treatment, at EOT, and at 1-month follow-up. RESULTS: The majority of enrolled participants completed treatment (Monitoring: 5/5; CM: 20/22), and intervention components were rated favorably overall (> 80%). CM participants submitted 112/220 (55%) abstinent cotinine samples throughout the quit attempt, while the Monitoring group submitted 4/50 (8%) negative samples. There were no differences in abstinence between groups at EOT or follow-up. CONCLUSION: This pilot study of a telehealth-based youth vaping cessation intervention demonstrated preliminary feasibility and acceptability. These results suggest that CM for young adult vaping cessation, delivered remotely, is a promising direction for future work and fully powered trials are warranted to assess intervention efficacy.

The Cost-Effectiveness of Nicotine Replacement Therapy Sampling in Primary Care: a Markov Cohort Simulation Model.

BACKGROUND: Pharmacotherapies remain a central focus of successful tobacco control, but uptake remains very low. OBJECTIVE: To estimate the cost effectiveness of a primary care nicotine replacement therapy (NRT) sampling intervention. DESIGN: A Markov cohort simulation model was constructed to conduct cost-effectiveness analyses. Clinical trial results were used to initialize the Markov model. All other model parameters were derived from the literature. The study was conducted over a lifetime horizon, from the payers' budgetary perspective. PARTICIPANTS: Smokers with a primary care visit. INTERVENTION: Medication sampling, which provided short, starter packets of NRT (nicotine patch and lozenge) to smokers in the primary care setting. MAIN MEASURES: Lifetime healthcare expenditures, quality-adjusted life years, and life years. KEY RESULTS: Medication sampling was the dominant strategy compared to standard care. Our intervention cost $75, yielding a discounted lifetime savings of $1065 in healthcare expenditures, and increased both discounted quality-adjusted life years and discounted life years by 0.01. One-way sensitivity analyses showed that medication sampling remained dominant in plausible ranges except when it failed to increase cessation relative to standard care. Probabilistic sensitivity analyses confirmed that medication sampling was dominant in 94.1% of the simulated cases, with an implementation cost of $74 (95% CI $73-$76) and discounted lifetime savings in health expenditures of $1061 (- $1106 to - $1,017), increasing quality-adjusted life years by 0.008 (0.0085-0.0093) and life years by 0.008 (0.0081-0.0089). CONCLUSION: Medication sampling, an easily implementable, scalable and low-cost intervention to encourage smoking cessation, is cost saving and improves quality of life.

Emotional Responses and Perceived Relative Harm Mediate the Effect of Exposure to Misinformation about E-Cigarettes on Twitter and Intention to Purchase E-Cigarettes among Adult Smokers.

There is a gap in knowledge on the affective mechanisms underlying effects of exposure to health misinformation. This study aimed to understand whether discrete emotional responses and perceived relative harm of e-cigarettes versus smoking mediate the effect of exposure to tweets about the harms of e-cigarettes on Twitter and intention to purchase e-cigarettes among adult smokers. We conducted a web-based experiment in November 2019 among 2400 adult smokers who were randomly assigned to view one of four conditions of tweets containing different levels of misinformation. We fitted mediation models using structural equation modeling and bootstrap procedures to assess the indirect effects of exposure to tweets through perceived relative harm of e-cigarettes and six discrete emotions. Our findings support that exposure to tweets about harms of e-cigarettes influence intention to purchase e-cigarettes through perceived relative harm, discrete emotional responses, and serially through emotional responses and perceived relative harm. Feeling worried, hopeful, and happy mediated the effects of condition on intention to purchase e-cigarettes. Feeling scared, worried, angry, and hopeful mediated the effects serially through perceived relative harm. Affective responses and perceived relative harm following exposure to misinformation about e-cigarette harm may mediate the relationship with intention to purchase e-cigarettes among adult smokers.

Smokers' Likelihood to Engage With Information and Misinformation on Twitter About the Relative Harms of e-Cigarette Use: Results From a Randomized Controlled Trial.

BACKGROUND: Information and misinformation on the internet about e-cigarette harms may increase smokers' misperceptions of e-cigarettes. There is limited research on smokers' engagement with information and misinformation about e-cigarettes on social media. OBJECTIVE: This study assessed smokers' likelihood to engage with-defined as replying, retweeting, liking, and sharing-tweets that contain information and misinformation and uncertainty about the harms of e-cigarettes. METHODS: We conducted a web-based randomized controlled trial among 2400 UK and US adult smokers who did not vape in the past 30 days. Participants were randomly assigned to view four tweets in one of four conditions: (1) e-cigarettes are as harmful or more harmful than smoking, (2) e-cigarettes are completely harmless, (3) uncertainty about e-cigarette harms, or (4) control (physical activity). The outcome measure was participants' likelihood of engaging with tweets, which comprised the sum of whether they would reply, retweet, like, and share each tweet. We fitted Poisson regression models to predict the likelihood of engagement with tweets among 974 Twitter users and 1287 non-Twitter social media users, adjusting for covariates and stratified by UK and US participants. RESULTS: Among Twitter users, participants were more likely to engage with tweets in condition 1 (e-cigarettes are as harmful or more harmful than smoking) than in condition 2 (e-cigarettes are completely harmless). Among other social media users, participants were more likely to likely to engage with tweets in condition 1 than in conditions 2 and 3 (e-cigarettes are completely harmless and uncertainty about e-cigarette harms). CONCLUSIONS: Tweets stating information and misinformation that e-cigarettes were as harmful or more harmful than smoking regular cigarettes may receive higher engagement than tweets indicating e-cigarettes were completely harmless. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN) 16082420; https://doi.org/10.1186/ISRCTN16082420.

Effects of brief exposure to misinformation about e-cigarette harms on twitter: a randomised controlled experiment.

OBJECTIVES: To assess the effect of exposure to misinformation about e-cigarette harms found on Twitter on adult current smokers' intention to quit smoking cigarettes, intention to purchase e-cigarettes and perceived relative harm of e-cigarettes compared with regular cigarettes. SETTING: An online randomised controlled experiment conducted in November 2019 among USA and UK current smokers. PARTICIPANTS: 2400 adult current smokers aged ≥18 years who were not current e-cigarette users recruited from an online panel. Participants' were randomised in a 1:1:1:1 ratio using a least-fill randomiser function. INTERVENTIONS: Viewing 4 tweets in random order within one of four conditions: (1) e-cigarettes are just as or more harmful than smoking, (2) e-cigarettes are completely harmless, (3) e-cigarette harms are uncertain, and (4) a control condition of tweets about physical activity. PRIMARY OUTCOMES MEASURES: Self-reported post-test intention to quit smoking cigarettes, intention to purchase e-cigarettes, and perceived relative harm of e-cigarettes compared with smoking. RESULTS: Among US and UK participants, after controlling for baseline measures of the outcome, exposure to tweets that e-cigarettes are as or more harmful than smoking versus control was associated with lower post-test intention to purchase e-cigarettes (ß=-0.339, 95% CI -0.487 to -0.191, p<0.001) and increased post-test perceived relative harm of e-cigarettes (ß=0.341, 95% CI 0.273 to 0.410, p<0.001). Among US smokers, exposure to tweets that e-cigarettes are completely harmless was associated with higher post-test intention to purchase e-cigarettes (ß=0.229, 95% CI 0.002 to 0.456, p=0.048) and lower post-test perceived relative harm of e-cigarettes (ß=-0.154, 95% CI -0.258 to -0.050, p=0.004). CONCLUSIONS: US and UK adult current smokers may be deterred from considering using e-cigarettes after brief exposure to tweets that e-cigarettes were just as or more harmful than smoking. Conversely, US adult current smokers may be encouraged to use e-cigarettes after exposure to tweets that e-cigarettes are completely harmless. These findings suggest that misinformation about e-cigarette harms may influence some adult smokers' decisions to consider using e-cigarettes. TRIAL REGISTRATION NUMBER: ISRCTN16082420.