Evidence-based Smoking Cessation Treatment Research Articles

Engaging and supporting young adults in smoking cessation: Insights from a mobile-based cessation program in China.

Evidence-based smoking cessation treatments are underutilized by young adult smokers. This study explored young smokers' experiences with a mobile-based smoking cessation program that included a Quit & Win contest at a university in Zhuhai, China, aiming to identify key engagement and cessation mechanisms. Twenty participants (aged 18-25 years) were selected through purposive sampling. Semistructured interviews explored participants' experiences, motivations, and perceptions of the intervention. Thematic analysis was used to identify major themes from interview transcripts. Two main themes emerged: (1) strategies for enhancing program engagement, including the influence of campus-wide smoke-free environments, the appeal of the Quit & Win contest, and the use of peer counselors for recruitment; and (2) strategies for supporting smoking cessation, emphasizing the importance of a multifaceted approach. This approach included financial incentives as a motivator for quitting, sustaining cessation efforts with online group support, and building a therapeutic alliance with cessation counselors. Mobile-based interventions, combined with peer support, financial incentives, and campus-wide smoke-free activities, can effectively engage young adults in smoking cessation. Future interventions should implement comprehensive programs that incorporate these elements to address the unique challenges faced by this population.

Quit attempts, use of smoking cessation treatments and quitting intention among treatment seekers in rural areas.

Rural populations have higher rates of tobacco use but are less likely to use evidence-based smoking cessation treatments than urban residents. There is limited evidence on the use of smoking cessation treatments and the factors associated with their use in rural populations. This study explored quit attempts, use of smoking cessation treatments, quitting intention and associated factors among rural residents seeking smoking cessation treatment. Participants were adult rural or remote residents of New South Wales, Australia who enrolled in a randomized trial of smoking cessation treatment (n=1244). Participants completed an online baseline survey assessing quit attempts, quitting intention, and prior use of smoking cessation treatments. Multivariable logistic regressions that adjusted for other variables examined associations and derived odds ratios. Almost half (48.3%) of participants made a quit attempt in the last 12months, and 44.6% intended to quit in the next 30days. Women (OR=0.74, 95% CI 0.56-0.99), Australian-born participants (OR=0.67, 95% CI 0.45-0.99) and those with moderate (OR=0.53, 95% CI 0.40-0.71) or high (OR=0.42, 95% CI 0.28-0.63) nicotine dependence had significantly lower odds of making a quit attempt in the last 12months. Among participants who had ever made a quit attempt, most had used pharmacotherapies (82.2%) or behavioral interventions (68.3%) during any quit attempt. Participants with moderate (OR=1.96, 95% CI 1.37-2.79) or high (OR=3.27, 95% CI 1.66-6.45) nicotine dependence and chronic conditions (OR=1.45, 95% CI 1.00-2.11) had significantly greater odds of pharmacotherapy use while those who drank alcohol daily or almost daily (OR=0.46, 95% CI 0.26-0.81) had significantly lower odds of pharmacotherapy use. Those with moderate (OR=1.38, 95% CI 1.02-1.87) or high (OR=3.31, 95% CI 1.94-5.66) nicotine dependence, university education (OR=1.47, 95% CI 1.04-2.07), moderate (OR=1.63, 95% CI 1.19-2.22) or high (OR=1.73, 95% CI 1.12-2.68) financial stress, and anxiety (OR=1.61, 95% CI 1.16-2.22) had significantly greater odds of using behavioral treatments whereas those with depression (OR=0.66, 95% CI 0.47-0.92) had significantly lower odds. Some sub-groups had lower odds of using smoking cessation treatments. Understanding if particular barriers hinder use of smoking cessation treatments among certain sub-groups of rural residents is needed.

Survival Outcomes of an Early Intervention Smoking Cessation Treatment After a Cancer Diagnosis

Smoking after a cancer diagnosis increases mortality and risk for a second cancer. To determine the association between time of entry into a smoking cessation intervention following a cancer diagnosis and survival outcomes. Using a prospective cohort study design, patients with cancer who smoked and received cessation treatment were assessed at 3 months, 6 months, and 9 months following tobacco treatment onset. Survival outcomes of tobacco treatment were measured and compared among patients at the MD Anderson Cancer Center Tobacco Research and Treatment Program. Treatment occurred between January 1, 2006, and March 3, 2022. Patients were excluded if they died before the tobacco treatment ended, received their diagnosis more than 6 months after beginning cessation treatment, or lacked staging information. The data analysis took place from September 2023 to May 2024. Cessation treatment consisted of 6 to 8 personalized counseling visits and 10 to 12 weeks of pharmacotherapy. More than 95% of visits were provided via telemedicine. The primary outcomes were survival as recorded in the MD Anderson Cancer Center tumor registry and 7-day point prevalence abstinence at each follow-up. The main analytical sample consisted of 4526 currently smoking patients diagnosed with cancer and receiving cessation treatment (2254 [49.8%] female; median [IQR] age, 55 [47-62] years). Survival over 15 years increased for those quitting smoking at 3 months (adjusted hazard ratio [aHR], 0.75 [95% CI, 0.67-0.83]), 6 months (aHR, 0.79 [95% CI, 0.71-0.88]), and 9 months (aHR, 0.85 [95% CI, 0.76-0.95]) of follow-up. The optimal survival outcomes were observed for patients who received tobacco treatment within 6 months of a cancer diagnosis. At the 75th percentile, their survival increased from 2.1 years (95% CI, 1.8-2.4 years) among continuing smokers (nonabstainers) vs 3.9 years (95% CI, 3.2-4.6 years) for patients who quit (abstainers). Similar but less pronounced outcomes were noted when tobacco treatment began within 6 months to 5 years following diagnosis, with survival at the 75th percentile of 4.8 years (95% CI, 4.3-5.3 years) for nonabstainers vs 6.0 years (95% CI, 5.1-7.2 years) for abstainers. The results of this prospective cohort study suggest that evidence-based smoking cessation treatment within 6 months following a cancer diagnosis maximizes survival benefit. This study supports smoking cessation as an important early clinical intervention for patients after being diagnosed with cancer.

Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.

The use of mobile technologies to deliver behavioral health interventions, including smoking cessation support, has grown. Users' perceptions are important determinants of the adoption and use of new technologies. However, little is known about users' perceptions of mobile technologies as smoking cessation aids, particularly among disadvantaged individuals who smoke. This study aimed to examine the acceptance of mobile technologies for smoking cessation among young adults with low socioeconomic status who smoke. In total, 38 current cigarette smokers, 18 to 29 years old, who wanted to quit and did not have a 4-year college degree nor were enrolled in a 4-year college, participated in 12 semistructured digital focus groups. The moderation guide was guided by the Unified Theory of Acceptance and Use of Technology. Discussions were audio recorded, transcribed verbatim, and coded for the Unified Theory of Acceptance and Use of Technology constructs (ie, effort expectancy, facilitating conditions, performance expectancy, and social influence), sentiment (ie, negative, neutral, and positive), and purpose of using mobile technologies (ie, lifestyle and health management and smoking cessation) following a deductive thematic analysis approach. Participants had positive experiences using mobile technologies for lifestyle and health management, primarily for fitness and dietary purposes. Salient themes were facilitating conditions of use (44/80, 55%), with prior experiences and costs subthemes, followed by perceived usefulness of mobile technologies in helping users attain health goals (22/80, 27.50%), which were generally positive. Ease of use (11/80, 13.75%) and social influences (3/80, 3.75%) were minimally discussed. Conversely, participants had limited awareness of smoking cessation uses of mobile technologies, which was the primary barrier under facilitating conditions discussed (33/51, 64.70%). Participants expressed skepticism about the usefulness of mobile technologies in helping them quit smoking (14/51, 27.45%). Effort expectancy was not discussed, given participants' limited prior use. Social influences on mobile technology use for smoking cessation were minimally discussed (4/51, 7.84%). The use of mobile technologies for smoking cessation was unknown to young adults with low socioeconomic status who smoke. To reduce cigarette smoking and associated health disparities, increasing awareness and use of evidence-based mobile-based smoking cessation interventions are needed. Smoking cessation interventions should incorporate features perceived as useful and easy to use to capitalize on positive user experiences and the acceptability of mobile technologies for lifestyle and health management.

Combining app-based behavioral therapy with electronic cigarettes for smoking cessation: a study protocol for a single-arm mixed-methods pilot trial

BackgroundCigarette smoking remains a leading cause of preventable illness and death, underscoring the need for effective evidence-based smoking cessation interventions. Nuumi, a novel smoking cessation program integrating a digital behavioral therapy and an electronic cigarette, may provide a solution.ObjectiveTo investigate the initial efficacy, acceptability and psychological outcomes of an evidence-based smoking cessation intervention comprised of a mobile phone app and an electronic cigarette among adults who smoke and who are motivated to quit.MethodsA prospective 6-month single-arm mixed-methods pilot study will be conducted. Seventy adults who smoke and who are motivated to quit will be recruited via web-based advertisements and flyers. Participants receive access to an app and an electronic cigarette with pods containing nicotine for temporary use of at least 3 months. The electronic cigarette is coupled with the app via Bluetooth, allowing for tracking of patterns of use. The behavioral therapy leverages evidence-based content informed by cognitive behavioral therapy and mindfulness-informed principles. Web-based self-report surveys will be conducted at baseline, at 4 weeks, at 8 weeks, at 12 weeks, and at 24 weeks post-baseline. Semi-structured interviews will be conducted at baseline and at 12 weeks post-baseline. Primary outcomes will be self-reported 7-day point prevalence abstinence from smoking at 12 weeks and 24 weeks. Secondary outcomes will include other smoking cessation-related outcomes, psychological outcomes, and acceptability of the nuumi intervention. Descriptive analyses and within-group comparisons will be performed on the quantitative data, and content analyses will be performed on the qualitative data. Recruitment for this study started in October 2023.DiscussionAs tobacco smoking is a leading cause of preventable morbidity and mortality, this research addresses one of the largest health burdens of our time. The results will provide insights into the initial efficacy, acceptability, and psychological outcomes of a novel mobile health intervention for smoking cessation. If successful, this pilot may generate an effective intervention supporting adults who smoke to quit smoking. The results will inform feasibility of a future randomized controlled trial.Trial Registration German Clinical Trials Register DRKS00032652, registered 09/15/2023, https://drks.de/search/de/trial/DRKS00032652.

Cognitive Distortions as Barriers to Seeking Smoking Cessation Treatment: A Comparative Study.

Background/Objectives: Despite the availability of effective pharmacotherapy and evidence-based treatments, a substantial proportion of smokers do not seek treatment. This study aims to explore the cognitive distortions associated with not seeking evidence-based smoking cessation treatment and to identify cognitive barriers. Methods: The research conducted in Istanbul between October and December 2017 employs a cross-sectional design and includes two groups: a treatment-seeking group comprising 156 patients diagnosed with tobacco use disorder and a non-treatment seeking group of 78 patients with tobacco use disorder who had never sought professional help for smoking cessation. A comprehensive data collection process was used, including sociodemographic information, cognitive distortion assessment using the cognitive distortions scale, a smoking-related cognitive distortions interview and the Fagerström Test for Nicotine Dependence. Results: While no significant sociodemographic differences were observed between the treatment-seeking and non-treatment-seeking groups, the study found that higher nicotine dependence was associated with a higher likelihood of seeking treatment. The treatment-seeking group displayed significantly higher levels of "all-or-nothing thinking" cognitive distortions related to smoking and smoking cessation. Conversely, the non-treatment-seeking group exhibited elevated levels of cognitive distortions such as "labeling", "mental filtering", "should statements" and "minimizing the positive" regarding receiving smoking cessation treatment. Conclusions: Understanding the cognitive distortions associated with treatment-seeking behavior for tobacco use disorder is crucial for developing targeted public-based interventions, public service announcements for tobacco use prevention and encouraging individuals to seek evidence-based treatment. Addressing these cognitive distortions can also potentially enhance the effectiveness of smoking cessation programs and reduce the global burden of tobacco-related diseases and mortality.

Enabling tobacco treatment for gastroenterology patients via a novel low-burden point-of-care model

Background & aimSmoking is a major risk factor for multiple gastrointestinal cancers, and adversely affects peptic ulcer disease, gastroesophageal reflux, pancreatitis and Crohn’s disease. Despite key recommendations for diagnosing and treating tobacco use disorder in healthcare settings, the degree to which this is implemented in Gastroenterology (GI) clinics is unknown. We aimed to assess our providers’ practices, identify barriers for implementing evidence-based smoking cessation treatments, and address these barriers by implementing a novel low-burden point of care Electronic health record-enabled evidence-based tobacco treatment (ELEVATE), in GI clinics.MethodsAn online survey was distributed to clinic gastroenterologists. ELEVATE module training was implemented in 1/2021. Data were evaluated during pre (7/2020-12/2020) and post (1/2021-12/2021) implementation periods to evaluate the reach and effectiveness of ELEVATE. Generalized estimating equations (GEE) were used to generate rate ratios (RR) to evaluate the intervention.Results91% (20/22) of GI physicians responded to our survey, and only 20% often assisted patients who smoke with counseling. Lack of a systematic program to offer help to patients was reported by 80% of providers as an extremely/very important barrier limiting their smoking cessation practices. The proportion of current patients who smoke receiving cessation treatment increased from pre-ELEVATE to post-ELEVATE (14.36–27.47%, RR = 1.90, 95% CI 1.60–2.26, p < .001). Post-ELEVATE, 14.4% (38/264) of patients with treatment quit smoking, compared to 7.9% (55/697) of patients without treatment (RR = 1.89, 95% CI 1.26–2.82, p = .0021).ConclusionSmoking practices are frequently assessed in GI clinics but barriers limiting cessation treatment exist. The use of a low burden point of care EHR enabled smoking cessation treatment module has led to a significant improvement in the treatment of smoking and subsequent cessation in our clinics. This study sheds light on an often under-recognized source of morbidity in GI patients and identifies an efficient, effective, and scalable strategy to combat tobacco use and improve clinical outcomes in our patients.

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning.

Leveraging free smartphone apps can help expand the availability and use of evidence-based smoking cessation interventions. However, there is a need for additional research investigating how the use of different features within such apps impacts their effectiveness. We used observational data collected from an experiment of a publicly available smoking cessation app to develop supervised machine learning (SML) algorithms intended to distinguish the app features that promote successful smoking cessation. We then assessed the extent to which patterns of app feature use accounted for variance in cessation that could not be explained by other known predictors of cessation (eg, tobacco use behaviors). Data came from an experiment (ClinicalTrials.gov NCT04623736) testing the impacts of incentivizing ecological momentary assessments within the National Cancer Institute's quitSTART app. Participants' (N=133) app activity, including every action they took within the app and its corresponding time stamp, was recorded. Demographic and baseline tobacco use characteristics were measured at the start of the experiment, and short-term smoking cessation (7-day point prevalence abstinence) was measured at 4 weeks after baseline. Logistic regression SML modeling was used to estimate participants' probability of cessation from 28 variables reflecting participants' use of different app features, assigned experimental conditions, and phone type (iPhone [Apple Inc] or Android [Google]). The SML model was first fit in a training set (n=100) and then its accuracy was assessed in a held-aside test set (n=33). Within the test set, a likelihood ratio test (n=30) assessed whether adding individuals' SML-predicted probabilities of cessation to a logistic regression model that included demographic and tobacco use (eg, polyuse) variables explained additional variance in 4-week cessation. The SML model's sensitivity (0.67) and specificity (0.67) in the held-aside test set indicated that individuals' patterns of using different app features predicted cessation with reasonable accuracy. The likelihood ratio test showed that the logistic regression, which included the SML model-predicted probabilities, was statistically equivalent to the model that only included the demographic and tobacco use variables (P=.16). Harnessing user data through SML could help determine the features of smoking cessation apps that are most useful. This methodological approach could be applied in future research focusing on smoking cessation app features to inform the development and improvement of smoking cessation apps. ClinicalTrials.gov NCT04623736; https://clinicaltrials.gov/study/NCT04623736.

Protocol for the 'Supporting Young Cancer Survivors who Smoke' study (PRISM): Informing the development of a smoking cessation intervention for childhood, adolescent and young adult cancer survivors in England.

Childhood, adolescent and young adult (CAYA) cancer survivors are vulnerable to adverse late-effects. For CAYA cancer survivors, tobacco smoking is the most important preventable cause of ill-health and early death. Yet, effective strategies to support smoking cessation in this group are lacking. The PRISM study aims to undertake multi-method formative research to explore the need for, and if appropriate, inform the future development of an evidence-based and theory-informed tobacco smoking cessation intervention for CAYA cancer survivors. PRISM involves three phases of: 1) an environmental scan using multiple strategies to identify and examine a) smoking cessation interventions for CAYA cancer survivors that are published in the international literature and b) current smoking cessation services in England that may be available to, or tailorable to, CAYA cancer survivors; 2) a qualitative study involving semi-structured interviews with CAYA cancer survivors (aged 16-29 years and who are current or recent ex-smokers and/or current vapers) to explore their views and experiences of smoking, smoking cessation and vaping; and 3) stakeholder workshops with survivors, healthcare professionals and other stakeholders to consider the potential for a smoking cessation intervention for CAYA cancer survivors and what such an intervention would need to target and change. Findings will be disseminated to patient groups, healthcare professionals and researchers, through conference presentations, journal papers, plain English summaries and social media. PRISM will explore current delivery of, perceived need for, and barriers and facilitators to, smoking cessation advice and support to CAYA cancer survivors from the perspective of both survivors and healthcare professionals. A key strength of PRISM is the user involvement throughout the study and the additional exploration of survivors' views on vaping, a behaviour which often co-occurs with smoking. PRISM is the first step in the development of a person-centred, evidence- and theory-based smoking cessation intervention for CAYA cancer survivors who smoke, which if effective, will reduce morbidity and mortality in the CAYA cancer survivor population.

Culturally relevant acceptance-based telehealth wellness program for Latine adults who smoke and experience psychological distress: Findings from a feasibility study

Latine adults who smoke have a low probability of receiving evidence-based smoking cessation interventions. Acceptance and Commitment Therapy (ACT) has shown to be efficacious for treating tobacco dependence, but its usefulness for Latine populations is just emerging and has not been studied in the context of a culturally tailored treatment. This single-arm study evaluated the feasibility of recruitment and retention, and treatment acceptability of the PRESENT Wellness Program: a culturally relevant ACT-based smoking cessation treatment for Latine adults who also experience psychological distress. Secondary objectives were the examination of smoking rates and levels of depression, anxiety, and psychological inflexibility (ACT core target) among Latine adults. Taking place during the COVID-19 pandemic, the treatment entailed 8 sessions delivered via telehealth (1 in-person/video and 7 by phone), and nicotine patches. Participants (N = 23) completed baseline assessments and follow-ups 1-week post-end of treatment (EOT) and 2-months post EOT. Most participants were women (70%), ranging from young adult to middle-aged, born in the US (57%), working full time (52.2%), and reporting financial strain (70%). Average number of sessions completed was 5.5. Follow-up rates were 61% at both follow-ups. The program was acceptable as indicated by quantitative and qualitative measures. Point-prevalence smoking abstinence was 35% at both follow-ups. Participants reported an average decline across time [% or M(SD)] in all secondary measures, as follows: everyday smoking [Baseline = 87%; 1-wk post EOT = 13%; 2 mo post EOT = 8.7%]; depression [Baseline = 13.7(6.3); 1-wk post EOT = 9.9 (6.6); 2 mo post EOT = 7.4 (5.8)]; anxiety [Baseline = 12.7 (5.4); 1-wk post EOT = 9.7 (6.4); 2 mo post EOT = 8.1 (5.2)]; and psychological inflexibility [Baseline = 50.6 (7.2); 1-wk post EOT = 33.0 (10.7); 2 mo post EOT = 32.6 (12.4)]. ConclusionThe current study observed that implementation of an acceptance-based smoking cessation treatment delivered in a hybrid mode is feasible and acceptable for English-speaking Latine persons. The PRESENT Wellness Program shows promise to address smoking and behavioral health challenges in the Latine community. Replication and expansion of the study is warranted, including the linguistic adaptation and evaluation of the program among Spanish-preferring Latine persons who smoke.

Barriers to smoking interventions in community healthcare settings: a scoping review.

Smoking is one of the major causes of preventable death and is considered the greatest threat to global public health. While the prevalence of smoking has decreased, population growth has led to an increase in the absolute number of smokers. There are many proven smoking cessation interventions available to support smokers in their quit attempts. Most people who smoke, however, underutilize the treatments available to them. This scoping review aimed to identify the current barriers experienced by all stakeholders (smokers, service providers and policymakers) to existing evidence-based smoking cessation interventions in community healthcare settings. Five electronic databases (CINAHL, Ovid MEDLINE, PsycINFO, Scopus and Web of Science) were searched for relevant literature. A total of 40 eligible articles from different countries published between 2015 and 2022 were included in the review and content analysis carried out to identify the key barriers to smoking cessation interventions. Seven key themes were found to be common to all stakeholders: (i) literacy, (ii) competing demands and priorities, (iii) time, (iv) access to product, (v) access to service, (vi) workforce and (vii) motivation/readiness. These themes were mapped to the Capability, Opportunity, Motivation-Behaviour (COM-B) model. This study presents the effect the barriers within these themes have on current smoking cessation services and highlights priorities for future interventions.

Process and effect evaluation of a referral aid for smoking cessation counselling in primary care: Findings of a randomized controlled trial.

This study explored the use and effects of a smoking cessation referral in: 1) practice nurses (PNs), and 2) smokers. The use of evidence-based smoking cessation interventions (EBSCIs) can double the likelihood of a successful smoking cessation attempt. A referral aid was developed to aid Dutch PNs in primary care in deciding which smokers are the most suitable for EBSCI. Two different studies were conducted: 1) a randomized controlled trial with a process evaluation (n=82) and effect evaluation (n=285) among smoking patients recruited by PNs (n=73), and 2) a process evaluation among a subgroup of PNs (n=40) from January 2019 to September 2020. Overall, the response in both groups was low. PNs found the referral aid materials clear and understandable. Smokers had similar but (slightly) less-positive opinions. The smokers in both groups did not differ in the amount of discussion and use of EBSCIs, nor on smoking abstinence. Further research should assess how to better involve PNs and smokers when recruiting for an RCT and how to foster effective counselling. Additional research should also look deeper into barriers to referral of both PNs and smokers, and how to stimulate referral to EBSCIs best and help smokers to make a decision; for example by implementing a simplified strategy both within the primary care setting and outside, by involving other healthcare professionals or options outside healthcare such as the workplace and social domain. The study was registered at the Netherlands Trial Register (NL7020, https://www.trialregister.nl/trial/7020).

A Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FAITH-CORE): Protocol for a Community Participatory Development Study.

Tobacco smoking remains the leading cause of preventable morbidity and mortality in the United States, with significant rural-urban disparities. Adults who live in rural areas of the United States have among the highest tobacco smoking rates in the nation and experience a higher prevalence of smoking-related deaths and deaths due to chronic diseases for which smoking is a causal risk factor. Barriers to accessing tobacco use cessation treatments are a major contributing factor to these disparities. Adults living in rural areas experience difficulty accessing tobacco cessation services due to geographical challenges, lack of insurance coverage, and lack of health care providers who treat tobacco use disorders. The use of digital technology could be a practical answer to these barriers. This report describes a protocol for a study whose main objectives are to develop and beta test an innovative intervention that uses a private, moderated Facebook group platform to deliver peer support and faith-based cessation messaging to enhance the reach and uptake of existing evidence-based smoking cessation treatment (EBCT) resources (eg, state quitline coaching programs) for rural adults who smoke. We will use the Integrated Theory of Health Behavior Change, surface or deep structure frameworks to guide intervention development, and the community-based participatory research (CBPR) approach to identify and engage with community stakeholders. The initial content library of moderator postings (videos and text or image postings) will be developed using existing EBCT material from the Centers for Disease Control and Prevention Tips from Former Smokers Campaign. The content library will feature topics related to quitting smoking, such as coping with cravings and withdrawal and using EBCTs with faith-based message integration (eg, Bible quotes). A community advisory board and a community engagement studio will provide feedback to refine the content library. We will also conduct a beta test of the intervention with 15 rural adults who smoke to assess the recruitment feasibility and preliminary intervention uptake such as engagement, ease of use, usefulness, and satisfaction to further refine the intervention based on participant feedback. The result of this study will create an intervention prototype that will be used for a future randomized controlled trial. Our CBPR project will create a prototype of a Facebook-delivered faith-based messaging and peer support intervention that may assist rural adults who smoke to use EBCT. This study is crucial in establishing a self-sufficient smoking cessation program for the rural community. The project is unique in using a moderated social media platform providing peer support and culturally relevant faith-based content to encourage adult people who smoke to seek treatment and quit smoking. PRR1-10.2196/52398.

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

BackgroundCigarette 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.MethodsThe 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.DiscussionThis 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 registrationNCT05493254.

Feasibility and Acceptability of a Mobile Game to Support Smoking Cessation: Repeated Measures Study.

Approximately half of smokers attempt to quit, but 90% of these attempts fail. Video game-based interventions have the potential to address common barriers to evidence-based smoking cessation treatment, including high cost, lack of health care access, and low engagement. The purpose of this study was to evaluate the feasibility and acceptability of a video game-based smoking cessation intervention called Inspired and its impact on the 7-day smoking point prevalence at the 30-day follow-up. US adults (n=48) were recruited via the web to use Inspired on their smartphones for 7 weeks. The object of the game was to defend a healing tree against attackers. Levels of the game were unlocked twice daily when participants self-reported the number of cigarettes they smoked since the previous entry. Completion of the levels awarded players in-game currency, which could strengthen in-game abilities. Participants received additional in-game rewards to aid gameplay by submitting either smoking self-reports only or self-reports indicating abstinence, determined through random assignment. In addition, participants completed a web-based survey at intake, week 4, week 7, and the 30-day follow-up. Of the 48 participants, who had an average age of 39.8 (SD 10.7) years, 27 (56%) were female, 4 (8%) Hispanic, 37 (77%) White, and 27 (56%) employed; 26 (54%) earned <US $40,000 a year; and 14 (29%) lived in nonurban areas (eg, rural and suburban). There were no significant differences between the groups, so all outcome data were combined. Participants averaged 20.6 (SD 15.3) days of gameplay and reached a mean highest game level of 10.7 (SD 8.4), although there was a high degree of variability. Participants reported abstinence on 31.4% (SD 38.2%) of all cessation phase reports and averaged 5.4 (SD 9.8) consecutive abstinent smoke reports. For every 1 SD increase in the highest level achieved, there was a 27% increase in the percentage of abstinent samples and a 405% increase in longest continuous abstinence. At the 30-day follow-up, 23% (11/48) of the participants reported having not taken a cigarette puff in the prior 7 days and 31% (15/48) had spent at least 24 hours without smoking in the prior 14 days. On an 11-point scale, participants rated the intervention moderately favorably: if they had to do it again, they would use Inspired to help them quit (mean 6.4, SD 3.4), and Inspired was helpful in their current attempt to quit (mean 5.4, SD 3.6). These results support the acceptability of Inspired. Although high dropout rates prevent conclusions on feasibility, a subset of the participants responded favorably. Scalable and accessible video game-based smoking cessation interventions could be the key to addressing the foremost cause of preventable morbidity and mortality in the United States. ClinicalTrials.gov NCT03929003; https://clinicaltrials.gov/ct2/show/NCT03929003.

Reaching adults who smoke cigarettes in rural Appalachia: Rationale, design & analysis plan for a mixed-methods study disseminating pharmacy-delivered cessation treatment

IntroductionUnlike other U.S. geographical regions, cigarette smoking prevalence remains stagnant in rural Appalachia. One avenue for reaching rural residents with evidence-based smoking cessation treatments could be utilizing community pharmacists. This paper describes the design, rationale, and analysis plan for a mixed-method study that will determine combinations of cessation treatment components that can be integrated within community pharmacies in rural Appalachia. The aim is to quantify the individual and synergistic effects of five highly disseminable and sustainable cessation components in a factorial experiment. MethodsThis sequential, mixed-method research design, based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, will use a randomized controlled trial with a 25 fully crossed factorial design (32 treatment combinations) to test, alone and in combination, the most effective evidence-based cessation components: (1) QuitAid (yes vs. no) (2) tobacco quit line (yes vs. no) (3) SmokefreeTXT (yes vs. no) (4) combination NRT lozenge + NRT patch (vs. NRT patch alone), and (5) eight weeks of NRT (vs. standard four weeks). ResultsLogistic regression will model abstinence at six-months, including indicators for the five treatment factors and all two-way interactions between the treatment factors. Demographic and smoking history variables will be considered to assess potential effect modification. Poisson regression will model quit attempts and percent of adherence to treatment components as secondary outcomes. ConclusionThis study will provide foundational evidence on how community pharmacies in medically underserved, rural regions can be leveraged to increase utilization of existing evidence-based tobacco cessation resources for treating tobacco dependence.Clinical Trials:NCT05660525

Abstract PO-058: Piloting a novel strategy to rapidly implement smoking cessation treatment for newly-diagnosed head and neck cancer patients

Abstract Purpose The purpose of this study is to evaluate a novel, bimodal strategy to implement smoking cessation treatment prior to oncologic therapy in newly-diagnosed head and neck cancer (HNC) patients. Background Among the 65,000 people who develop HNC in the United States (US) annually, 20-30% smoke cigarettes and 50-80% will continue smoking throughout survivorship. Quitting smoking before oncologic therapy correlates with improved health outcomes. However, the window of opportunity to quit smoking is narrow since cancer treatment often begins 4-5 weeks after the first oncology visit. The failure to rapidly implement evidence-based smoking cessation treatment is a major cause of this problem. Offering both behavioral therapy and pharmacotherapy increases abstinence rates by 2-3-fold. Despite this, only 4-17% of cancer patients receive both therapies at any time. Methods We conducted a pragmatic, quasi-experimental, pilot study using a pre-post design to evaluate a strategy to rapidly implement behavioral therapy and pharmacotherapy. The pre-test period was from 1/21-3/22 and the strategy was deployed from 4/22-10/22. The population included newly-diagnosed patients with mucosal HNC or salivary gland cancer. The setting was an academic medical center with an established tobacco treatment program (TTP). The implementation strategy involved bimodal administration of the evidence-based Ask, Advise, Connect (AAC) approach before and at the first surgical oncology visit. First, a dedicated medical assistant (MA) used an electronic health record (EHR)-based tool to identify, ask, advise, and connect (i.e. refer) smokers to the TTP at the time of clinic referral, or ~1-2 weeks before the first surgical oncology visit. Second, the AAC strategy was delivered by the triage MA and nurse at the time of the first surgical oncology visit. Some surgeons opportunistically offered patients pharmacotherapy. Results Among the 383 eligible, newly-diagnosed HNC patients, and 48 (12.5%) were current smokers. Twelve smokers were diagnosed between 4/22-10/22 and were eligible for the bimodal AAC strategy. However, only six of 12 patients received the AAC strategy before the first oncology visit. Among the 48 smokers, 75% were male, the median age was 65.5-years, and cancer treatment was started a median 34 days after the first oncology visit. Within 30 days of the first surgical oncology visit, 67% were advised to quit, 25% were referred to the TTP, 6% completed a comprehensive TTP visit, 21% had pharmacotherapy ordered, and 17% received both behavioral therapy and pharmacotherapy. While there were otherwise no differences in outcomes between pre- and post-strategy groups, more bimodal AAC strategy-eligible patients received pharmacotherapy (42%) compared to pre-strategy patients (14%, p=0.040). Conclusions Our bimodal AAC strategy correlated with increased use of pharmacotherapy, despite suboptimal fidelity to the approach. Additional strategies to improve delivery of timely behavioral therapy and pharmacotherapy for smoking cessation are needed. Citation Format: Sahajveer Mann, Julia Casazza, Dalia Mitchell, Quynh-Chi Dang, Dequan Weston, Brette Harding, Baran D. Sumer, Brittny Tillman, Heather Kitzman, George Jackson, Robert Schnoll, Amit Singal, Andrew T. Day. Piloting a novel strategy to rapidly implement smoking cessation treatment for newly-diagnosed head and neck cancer patients [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-058.

Enhancing long-term smoking abstinence among individuals with a history of cervical intraepithelial neoplasia or cervical cancer (Project ACCESS): protocol for a randomized clinical trial

BackgroundThe prevalence of smoking among cervical cancer survivors is high and evidence-based smoking cessation interventions are critically needed. This paper describes the study design, methods, and data analysis plans for a randomized clinical trial (RCT) designed to evaluate the efficacy of a novel, personally tailored SMS-delivered text-based digital treatment adjuvant designed to enhance the long-term efficacy of a “Motivation And Problem-Solving” (MAPS) approach for smoking cessation among individuals with a history of cervical intraepithelial neoplasia (CIN) or cervical cancer. MAPS is a phone counseling approach designed to facilitate long-term abstinence that comprises 6 counseling calls over 12 months. The current trial is evaluating the efficacy of MAPS+, which comprises all MAPS components plus a 24-month digital treatment adjuvant. This trial represents a logical extension of our previous RCT, which compared the efficacy of MAPS to a quitline control condition and found that MAPS resulted in greater than a 2-fold increase in smoking abstinence at 12 months (i.e., 26.4% vs. 11.9%). This treatment effect was no longer significant at 18 months, suggesting that efficacy dissipated as time from the end of treatment increased. The primary aim of the current trial is to compare the efficacy of MAPS + and ST in facilitating long-term abstinence.MethodsIndividuals who smoke and have a history of cervical cancer or CIN (N = 340) are recruited throughout Florida and randomly assigned to Standard Treatment [ST] or MAPS+. ST participants are electronically connected with the Florida Quitline. MAPS + consists of 6 proactive MAPS-based counseling calls over 12 months plus the novel, personally tailored, text message-based treatment adjuvant delivered over 24 months. All participants receive 12 weeks of combination nicotine replacement therapy (patch and lozenge) and are followed for 24 months. Participant recruitment commenced in December 2022 and is ongoing.DiscussionThis study builds on promising results from our recent trial which found that MAPS was associated with substantially higher abstinence from smoking at the end of the 12-month treatment period. Finding that this low-burden, personally tailored digital treatment adjuvant improves the long-term efficacy of MAPS would have important clinical and public health implications.Trial registrationClinical Trials Registry NCT05645146; https://clinicaltrials.gov/ct2/show/NCT05645146; Registered on December 9, 2022.

Using Smartphone Survey and GPS Data to Inform Smoking Cessation Intervention Delivery: Case Study.

Interest in quitting smoking is common among young adults who smoke, but it can prove challenging. Although evidence-based smoking cessation interventions exist and are effective, a lack of access to these interventions specifically designed for young adults remains a major barrier for this population to successfully quit smoking. Therefore, researchers have begun to develop modern, smartphone-based interventions to deliver smoking cessation messages at the appropriate place and time for an individual. A promising approach is the delivery of interventions using geofences-spatial buffers around high-risk locations for smoking that trigger intervention messages when an individual's phone enters the perimeter. Despite growth in personalized and ubiquitous smoking cessation interventions, few studies have incorporated spatial methods to optimize intervention delivery using place and time information. This study demonstrates an exploratory method of generating person-specific geofences around high-risk areas for smoking by presenting 4 case studies using a combination of self-reported smartphone-based surveys and passively tracked location data. The study also examines which geofence construction method could inform a subsequent study design that will automate the process of deploying coping messages when young adults enter geofence boundaries. Data came from an ecological momentary assessment study with young adult smokers conducted from 2016 to 2017 in the San Francisco Bay area. Participants reported smoking and nonsmoking events through a smartphone app for 30 days, and GPS data was recorded by the app. We sampled 4 cases along ecological momentary assessment compliance quartiles and constructed person-specific geofences around locations with self-reported smoking events for each 3-hour time interval using zones with normalized mean kernel density estimates exceeding 0.7. We assessed the percentage of smoking events captured within geofences constructed for 3 types of zones (census blocks, 500 ft2 fishnet grids, and 1000 ft2 fishnet grids). Descriptive comparisons were made across the 4 cases to better understand the strengths and limitations of each geofence construction method. The number of reported past 30-day smoking events ranged from 12 to 177 for the 4 cases. Each 3-hour geofence for 3 of the 4 cases captured over 50% of smoking events. The 1000 ft2 fishnet grid captured the highest percentage of smoking events compared to census blocks across the 4 cases. Across 3-hour periods except for 3:00 AM-5:59 AM for 1 case, geofences contained an average of 36.4%-100% of smoking events. Findings showed that fishnet grid geofences may capture more smoking events compared to census blocks. Our findings suggest that this geofence construction method can identify high-risk smoking situations by time and place and has potential for generating individually tailored geofences for smoking cessation intervention delivery. In a subsequent smartphone-based smoking cessation intervention study, we plan to use fishnet grid geofences to inform the delivery of intervention messages.

Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis.

Tobacco use is an important cause of preventable mortality and morbidity worldwide. Only 7% of smokers successfully quit annually, despite numerous evidence-based smoking cessation treatments. An important reason for failure is barriers to accessing appropriate smoking cessation interventions, which can be minimized by technology-delivered interventions, such as ecological momentary interventions. Ecological momentary interventions provide the right type and intensity of treatment in real time, based on ecological momentary assessments of relevant variables. The aim of this review was to assess the effectiveness of ecological momentary interventions in smoking cessation. We searched MEDLINE, Scopus, CENTRAL, psychINFO, and ProQuest without applying any filters on 19 September, 2022. One author screened search results for obvious irrelevant and duplicate studies. The remaining studies were independently reviewed by two authors to exclude irrelevant studies, and then they extracted data from the included studies. We collated study findings, transformed data into a common rubric, and calculated a weighted treatment effect across studies using Review Manager 5. We analyzed 10 studies with a total of 2391 participants. Assessment methods included exhaled CO analyzers, bidirectional SMS, data input in apps, and hand movement detection. Interventions were based on acceptance and commitment therapy and cognitive behavioral therapy. Smoking abstinence was significantly higher in participants of intervention groups compared to control groups (RR = 1.24; 95% CI 1.07-1.44, P = 0.004; I2 = 0%). Ecological momentary intervention is a novel area of research in behavioral science. The results of this systematic review based on the available literature suggest that these interventions could be beneficial for smoking cessation.