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Introduction Electronic referral (e-referral) to quitlines helps connect tobacco-using patients to free, evidence-based cessation counseling. Little has been published about the real-world implementation of e-referrals across U.S. health systems, their maintenance over time, and the outcomes of e-referred patients. Aims and Methods Beginning in 2014, the University of California (UC)-wide project called UC Quits scaled up quitline e-referrals and related modifications to clinical workflows from one to five UC health systems. Implementation strategies were used to increase site readiness. Maintenance was supported through ongoing monitoring and quality improvement programs. Data on e-referred patients (n = 20 709) and quitline callers (n = 197 377) were collected from April 2014 to March 2021. Analyses of referral trends and cessation outcomes were conducted in 2021–2022. Results Of 20 709 patients referred, the quitline contacted 47.1%, 20.6% completed intake, 15.2% requested counseling, and 10.9% received it. In the 1.5-year implementation phase, 1813 patients were referred. In the 5.5-year maintenance phase, volume was sustained, with 3436 referrals annually on average. Among referred patients completing intake (n = 4264), 46.2% were nonwhite, 58.8% had Medicaid, 58.7% had a chronic disease, and 48.8% had a behavioral health condition. In a sample randomly selected for follow-up, e-referred patients were as likely as general quitline callers to attempt quitting (68.5% vs. 71.4%; p = .23), quit for 30 days (28.3% vs. 26.9%; p = .52), and quit for 6 months (13.6% vs. 13.9%; p = .88). Conclusions With a whole-systems approach, quitline e-referrals can be established and sustained across inpatient and outpatient settings with diverse patient populations. Cessation outcomes were similar to those of general quitline callers. Implications This study supports the broad implementation of tobacco quitline e-referrals in health care. To the best of our knowledge, no other paper has described the implementation of e-referrals across multiple U.S. health systems or how they were sustained over time. Modifying electronic health records systems and clinical workflows to enable and encourage e-referrals, if implemented and maintained appropriately, can be expected to improve patient care, make it easier for clinicians to support patients in quitting, increase the proportion of patients using evidence-based treatment, provide data to assess progress on quality goals, and help meet reporting requirements for tobacco screening and prevention.

Introduction Proactive outreach offering tobacco treatment is a promising strategy outside of clinical settings, but little is known about factors for engagement. The study objective is to examine the impact of caller area code in a proactive, phone-based outreach strategy on consenting low-income smokers to a quitline e-referral. Aims and Methods This pragmatic randomized trial included unassisted adult smokers (n = 685), whose preferred language was English or Spanish, in a Los Angeles safety-net health system. Patients were randomized to receive a call from a local or generic toll-free area code. Log-binomial regression was used to examine the association between area code and consent to a quitline e-referral, adjusted for age, gender, language, and year. Results Overall, 52.1% of the patients were contacted and, among those contacted, 30% consented to a referral. The contact rate was higher for the local versus generic area code, although not statistically significant (55.6% vs. 48.7%, p = .07). The consent rate was higher in the local versus generic area code group (adjusted prevalence ratio 1.29, 95% CI 1.01–1.65) and also higher for patients under 61 years old than over (adjusted prevalence ratio 1.47, 95% CI 1.07–2.01), and Spanish-speaking than English-speaking patients (adjusted prevalence ratio 1.40, 95% CI 1.05–1.86). Conclusions Proactive phone-based outreach to unassisted smokers in a safety net health system increased consent to a quitline referral when local (vs. generic) area codes were used to contact patients. While contact rate did not differ by area code, proactive phone-based outreach was effective for engaging younger and Spanish-speaking smokers. Implications Population-based proactive phone-based outreach from a caller with a local area code to unassisted smokers in a safety net health system increases consent to an e-referral for quitline services. Findings suggest that a proactive phone-based outreach, a population-based strategy, is an effective strategy to build on the visit-based model and offer services to tobacco users, regardless of the motivational levels to quit.

IntroductionAsian immigrants to the U.S. smoke at higher rates than U.S.-born Asians. However, few programs exist to help these immigrants quit and little is known about their real-world effectiveness. The Centers for Disease Control and Prevention funded the Asian Smokers' Quitline to serve Chinese, Korean, and Vietnamese immigrants nationwide. This study examines service utilization and outcomes from the first 7 years of the program.MethodsFrom August 2012 to July 2019, the Asian Smokers' Quitline enrolled 14,073 Chinese-, Korean-, and Vietnamese-speaking smokers. Service utilization rates and cessation outcomes were compared with those of an earlier trial (conducted 2004-2008) that demonstrated the efficacy of an Asian-language telephone counseling protocol. Data were analyzed in 2019.ResultsAsian Smokers' Quitline participants came from all 50 states and the District of Columbia. The main referral sources were Asian-language newspapers (37.2%), family and friends (16.4%), healthcare providers (11.9%), and radio (11.9%). Overall, 37.6% were uninsured, 38.8% had chronic health conditions, and 15.4% had mental health conditions. Compared with participants in the earlier trial, Quitline participants received 1 fewer counseling session (3.8 vs 4.9, p14,000 Asian-language-speaking smokers across the U.S. in its first 7 years. This quitline could serve as a model for delivering other behavioral services to geographically dispersed linguistic minority populations.

ObjectivesTo assess whether the late 2019 US outbreak of pulmonary disease linked to vaping (‘E-cigarette, or Vaping, product use Associated Lung Injury’ (EVALI)) impacted online shopping queries for vaping products and the Philip Morris ‘IQO’ brand of heated tobacco.MethodsWe tracked online shopping queries for vape(s), JUUL and IQOS by analysing rates of Google queries indicative of shopping (eg, buy IQOS) after news of the outbreak was first reported (the week of 29 July 2019) until hospitalisations ceased (the week of 16 February 2020). We compared observed rates of shopping during the outbreak to counterfactual expected rates that were predicted using an autoregressive iterative moving average model fit to queries from 1 January 2014 to the week of 21 July 2019.ResultsDuring the outbreak, vape shopping queries were 34% (95% CI 30% to 38%) lower than expected and JUUL shopping queries were 39% (95% CI 34% to 45%) lower than expected, translating into about 7.2 and 1.0 million fewer searches. IQOS shopping queries were 58% (95% prediction interval (PI): 34–87) higher than expected, translating into 35 000 more searches. Moreover, IQOS shopping queries reached a historic high the week they were discussed as a potentially safe alternative to vaping (the week of 29 September 2019), when they were 382% (95% PI: 219–881) above expected rates for the week.ConclusionsThese results suggest that unplanned events, such as the EVALI outbreak, can provoke changes in the epidemiology of product usage. Tobacco companies should be prohibited from using events such as disease outbreaks to position their products as less harmful without prior approval.

Introduction In 2016, the California Department of Health Care Services issued All Plan Letter 16-014 to the Medi-Cal Managed Care plans to provide information on requirements for comprehensive tobacco-cessation services. Researchers at the University of California, San Diego set out to (1) examine Medi-Cal's Managed Care plans’ progress in implementing each section of All Plan Letter 16-014, (2) understand various factors related to implementation of the All Plan Letter, and (3) make recommendations to improve implementation. Methods Researchers surveyed health educators within California's 25 Medi-Cal Managed Care plans to document each one's smoking-cessation services and policies in 2018. Data were collected for 24 of the 25 Medi-Cal Managed Care plans (96%) through 3 methods, including: (1) a web-based survey, (2) an in-depth phone interview, and (3) collection of smoking cessation–relevant documents. Results Managed Care plans demonstrate low levels of full implementation, with only 1 fully implementing all 20 provisions of the All Plan Letter. On average, Managed Care plans implemented 13 of the 20 provisions. Managed Care plans had the highest implementation rates for provisions related to requirements for coverage of the 7 U.S. Food and Drug Administration–approved medications for tobacco cessation, in which 12 (55%) fully implemented all related required provisions. Managed Care plans had lowest implementation rates for provisions related to data collection, with only 4 (18%) fully implementing all 3 requirements. Conclusions Although All Plan Letter 16-014 was successful in creating more comprehensive and consistent benefits across Managed Care plans, 95% of Managed Care plans have not fully implemented it. Further guidance from the Department of Health Care Services and integration with the California Smokers’ Helpline may be needed to achieve full implementation.

People who smoke are at increased risk of serious COVID-19-related disease but have had reduced access to cessation treatment during the pandemic. This study tested 2 approaches to promoting quitline services to Medicaid members who smoke at high rates: using COVID-19-specific messaging and offering free nicotine patches. The hypotheses were that both would increase enrollment.A California Medicaid mailing from October 2020 to January 2021 (N=7,489,093) included 4 versions of a flyer following a 2 × 2 design comparing generic with COVID-19-specific messaging and a no-patch with free-patch offer. The main outcome measure was quitline enrollments. Quit outcomes (attempted quitting, quit ≥7 days, quit ≥30 days) were assessed at 2 months. A subsequent free-patch offer was sent to all members (N=7,577,198) from April 2021 to June 2021. Data were collected in 2020-2021 and analyzed in 2022.The first mailing generated 1,753 enrollments. Response rates were 0.023% and 0.024% for generic and COVID-19-specific messaging, respectively (p=0.538), and 0.006% and 0.041% for no-patch and free-patch offers, respectively, the latter being 6.7 times more effective than the former (p0.0001). Quit outcomes were comparable across conditions. The subsequent free-patch offer generated 3,546 enrollments at $40.28 per enrollee.In a Medicaid mailing during COVID-19, offering free patches generated more than 6 times as many quitline enrollments as offering generic help. COVID-19-specific messaging was no more effective than generic messaging. Offering free patches was highly cost-effective. Medicaid programs partnering with quitlines should consider using similar strategies, especially during a pandemic when regular health care is disrupted.

Introduction Financial incentives have been shown to improve recruitment of low-income smokers into tobacco quitline services and to improve cessation outcomes. The present study evaluated their use to re-engage low-income smokers who had already used a quitline. Aims and Methods Randomly selected Medicaid smokers (N = 5200) who had previously enrolled in a quitline were stratified by time since enrollment (3, 6, 9, or 12 months) and randomly assigned in a 2 × 4 factorial design to receive, by mail or telephone, an invitation to reengage, with an offer of no financial incentive or $10, $20, or $40. The primary outcome measure was re-engagement, defined as use of an additional evidence-based quitline service within 90 days. Data were collected from May 2014 to October 2015 and analyzed in 2022. Results Of 5200 participants invited to reengage in quitline services, 9.3% did so within 90 days, compared to 6.3% of a randomly selected comparison group (n = 22 614, p Conclusions Low-income smokers who previously used quitline services can be motivated to reengage in treatment. Mailed letters and automated calls are effective re-engagement strategies. Financial incentives can increase the effectiveness of re-engagement letters. Inviting Medicaid smokers to re-engage with quitline treatment may help to address socioeconomic health disparities and should be standard practice. Implications Nicotine addiction is a chronic relapsing disorder, yet most cessation services are designed to help smokers through only one quit attempt. Smoking is increasingly concentrated in populations with physical and psychological co-morbidities, which can make quitting more difficult and impact whether smokers reach out for additional help following relapse. This study examined whether the timing, method, and content of an offer for further assistance influenced re-engagement rates for a vulnerable population of smokers—Medicaid beneficiaries. Relapsing smokers are responsive to re-engagement offers as early as three months, but there is a closing window of opportunity to reach them.

Use of Electronic Nicotine Delivery Systems (ENDS, colloquially known as “electronic cigarettes”) has increased substantially in the United States in the decade since 2010. However, currently relatively little is known regarding the documentation of ENDS use in clinical notes. With this study, we describe the development of an annotation scheme (and associated annotated corpus) consisting of 4,351 ENDS mentions derived from Department of Veterans Affairs clinical notes during the period 2010-2020. Analysis of our corpus provides important insights into ENDS documentation practices at the VA, in addition to providing a resource for the future development and validation of Natural Language Processing algorithms capable of reliably identifying ENDS-use status.

Highlights • Patients with the highest burden of disease and health disparities were least likely to be referred to smoking cessation services. • Older patients were more likely to be referred to cessation counseling within the health center instead of the quitline. • Engagement in smoking cessation services are lower in the low income population compared to the general population. • Having insurance coverage was associated with greater engagement in smoking cessation services., Tobacco use disproportionately affects low-income communities. Prevalence among patients in Federally Qualified Health Centers (FQHCs) is higher (29.3%) than the general population (20%). Little is known about the rates of referrals to cessation services and cessation pharmacotherapy practices in FQHCs. This study will examine referral and prescribing patterns based on patient characteristics at a large FQHC in Southern California. We conducted a retrospective analysis of EHR data from 2019. Patients who were ≥ 18 years old and had “tobacco use” as an active problem were included in analyses. We characterized the proportion of 1) those who were referred to California Smokers’ Helpline (CSH), 2) referred to smoking cessation counseling (SCC) at the FQHC clinic, or 3) received pharmacotherapy. Associations of demographic characteristics and comorbidities with referral types and uptake of services were evaluated using mixed-effects multinomial and logistic regressions. Of the 20,119 tobacco users identified, 87% had some cessation intervention: 66% were advised to quit and given information to contact CSH, while 21% were referred to SCC. Patients were least likely to get referred to cessation services if they had more medical, psychiatric, or substance use comorbidities, were in the lowest income group, were uninsured or were Hispanic. Although EHR systems have enhanced the ease of screening, most patients do not receive more than brief advice to quit during a PCP visit. Most (70%) low-income smokers see their PCPs at least once a year, making FQHCs excellent settings to promote smoking cessation initiatives in low-income populations.

Introduction The relationship between cannabis, tobacco, and vaping devices is both rapidly changing and poorly understood, with consumers rapidly shifting between use of all three product types. Given this dynamic and evolving landscape, there is an urgent need to monitor and better understand co-use, dual-use, and transition patterns between these products. This study describes work that utilizes social media — in this case, Reddit — in conjunction with automated Natural Language Processing (NLP) methods to better understand cannabis, tobacco, and vaping device product usage patterns. Methods We collected Reddit data from the period 2013–2018, sourced from eight popular, high-volume Reddit communities (subreddits) related to the three product categories. We then manually annotated (coded) a set of 2640 Reddit posts and trained a machine learning-based NLP algorithm to automatically identify and disambiguate between cannabis or tobacco mentions (both smoking and vaping) in Reddit posts. This classifier was then applied to all data derived from the eight subreddits, 767,788 posts in total. Results The NLP algorithm achieved an overall moderate performance (overall F-score of 0.77). When applied to our large corpus of Reddit posts, we discovered that over 10% of posts in the smoking cessation subreddit r/stopsmoking were classified as referring to vaping nicotine, and that only 2% of posts from the subreddits r/electronic_cigarette and r/vaping were classified as referring to smoking (tobacco) cessation. Conclusions This study presents the results of applying an NLP algorithm designed to identify and distinguish between cannabis and tobacco mentions (both smoking and vaping) in Reddit posts, hence contributing to our currently limited understanding of co-use, dual-use, and transition patterns between these products.

BACKGROUND AND OBJECTIVES A leading brand of heated tobacco products (HTPs), IQOS, was authorized to be sold in the United States in 2019. Researchers have examined the awareness and use of HTPs among US adults. In this study, we examined high school students’ awareness, use, and susceptibility pertaining to HTPs. METHODS A large, cross-sectional population survey of randomly sampled 10th- and 12th-graders in California (N = 150 516) was conducted online during school hours from September 2019 to March 2020. RESULTS Overall, 8.9% (95% confidence interval [CI], 8.7%–9.1%) of California high school students had heard of HTPs. Approximately 0.67% (95% CI, 0.61%–0.73%) had ever tried HTPs, and 0.20% (95% CI, 0.17%–0.23%) were current users (ie, ∼30% of ever users continued to use HTPs at the time of survey). Among those who never tried HTPs, 18.3% (95% CI, 17.9%–18.8%) were susceptible to future use. The susceptibility to HTP use was greater among users of cigarettes or e-cigarettes than among nonusers. CONCLUSIONS The awareness of HTPs among adolescents was remarkable given the low availability of products at the time of survey. Only a small percentage of adolescents experimented with HTPs. However, almost a third of those who had experimented with HTPs continued to use them. This high ratio and the fact that almost 1 out of 5 never users were susceptible to future HTP use should put the public health community on high alert as more HTP products are coming into the market, with promotion of these products likely to increase.

Purpose of the researchEarly evidence from studies of home smoking policies suggests that in-home cannabis smoking is more often allowed than in-home tobacco smoking, but there are not yet data on whether cannabis is more often smoked in the home compared to tobacco, or whether in-home cannabis and tobacco smoking differs by usage status. Using cross-sectional data from over 100,000 sentinel drug users from 17 countries, we compared cannabis and tobacco smoking in the homes of Global Drug Survey 2019 respondents who currently used cannabis only, tobacco only, both tobacco and cannabis, or neither.Principal resultsComplete data on cannabis and tobacco use and in-home smoking were available for 107,272 adults (average age=30±12, 34% women, countries with the three highest response rates; Germany=32%, USA=10%, New Zealand=9%). In total, 53.6% and 50.6% of respondents reported past-year cannabis and tobacco smoking in their home respectively. Stratifying respondents into current cannabis-only users, tobacco-only users, dual users, and non-users, past-year in-home cannabis smoking was more prevalent (78.8%) among cannabis-only users than was in-home tobacco smoking (67.9%) among tobacco-only users. Among dual users, past-year in-home cannabis smoking (82.8%; 95%CI=80%-86%) was higher than in-home tobacco smoking (75.9%; 95%CI=69%-81%; p&nbsp

BackgroundHeated tobacco products (HTP) generate nicotine-containing aerosol by heating tobacco rather than burning it. The US Food and Drug Administration (FDA) has recently authorised the sale of one HTP brand, iQOS, in the USA. This study examined the awareness, use and risk perceptions of HTP in the USA following FDA authorisation.MethodsA national probability sample of 20 449 US adults completed an online survey between November 2019 and February 2020. In addition to assessing awareness and use of HTP, two ratios were calculated: the ratio of those who experimented with HTP given that they had heard about it (E/H) and the ratio of those who currently used HTP given experimentation (C/E). These ratios for HTP were compared against those for e-cigarettes from a similar national survey in 2012.ResultsOverall, 8.1% of respondents had heard of HTP. Only 0.55% had tried and 0.10% were current users. The rate of experimentation among those who heard about HTP and the rate of current use among experimenters were, however, similar to those for e-cigarettes in 2012: E/H and C/E for HTP were 6.8% and 18.2%, respectively; and 10.7% and 17.8%, respectively for e-cigarettes. The majority of respondents considered HTP either less harmful than (11.6%), or equally harmful as e-cigarettes (42.7%).ConclusionsOnly a small fraction of US population in 2020 have tried any HTP. However, the similarity in early adoption rates following awareness, suggests that future adoption for HTP may be similar to that for e-cigarettes, if HTP are marketed more aggressively.

The purpose of this study was to use item response theory to assess a brief measure of problematic smartphone use among high school students, using the 2017-18 California Student Tobacco Survey (CSTS) collected from 119,981 students who own a smartphone across 256 high schools in California. An exploratory factor analysis supported two factors that represented problematic smartphone use and concurrent behavioral issues, explaining 47% of the variance. Item response modeling demonstrated good item discrimination for problematic smartphone use (a > 1.15) and valuable test information for respondents within two standard deviations of the sample mean. Students who reported a score of 3 (somewhat agree) or 4 (agree) on each problematic smartphone use item accounted for 22% (n ​= ​25,997) of the student population who owned smartphones in our sample. Concurrent and criterion validity were found as problematic smartphone use significantly predicted smartphone use instead of sleep (b ​= ​0.35, 95% CI [0.34, 0.36], p ​

IntroductionUsing the tenets underlying social identity theory and the theory of planned behavior, the current study compared the perceptions, attitudes, and behaviors of e-cigarette users that reported vaping as self-defining ("vapers") compared to users that denied vaping was central to their identity ("non-vapers").MethodSecondary analyses of data from the 2017-2018 California Student Tobacco Survey were utilized. A weighted, multivariable regression model (N = 82,217) compared the demographic characteristics, beliefs, and behaviors of vapers and non-vapers. A path analytic model examined whether norms and attitudes mediated the relationship between vaper identity and use behavior.ResultsSelf-identified sexual and/or gender minority youth were more likely to identify as vapers compared to heterosexual and cisgender respondents. Youth that identified as vapers viewed e-cigarette use as more normative, held more favorable attitudes (i.e., lower harm beliefs), used e-cigarettes more frequently and in greater quantities, were more likely to use fruit and mint flavored e-cigarettes, and were more likely to acquire e-cigarettes from commercial sellers (i.e., vape/tobacco shops; all p < 0.05). Additionally, descriptive norms and attitudes mediated the relationship between vaper identity and use frequency/quantity.ConclusionsDifferences in e-cigarette beliefs and behaviors were found for youth e-cigarette users that perceived vaping as self-defining versus those that did not view vaping as part of their self-concept. Future studies are needed to examine causal directionality between identity, norms, attitudes, and behavior. Tobacco control efforts might use these findings to further denormalize vaping using evidence-based media campaigns and policy implementation.

BACKGROUND Health authorities across nations differ markedly on their position regarding electronic cigarettes. For example, the Royal College of Physicians in the United Kingdom promoted e-cigarettes as a harm-reduction alternative to cigarettes, whereas the United States Centers for Disease Control and Prevention warned against the use of e-cigarettes. OBJECTIVE This study tests the effects of these different policy messages on the public’s perception of e-cigarettes. METHODS Participants (N=20,055) were sampled from an online panel with members from 19 major Chinese cities, and were randomized into three groups. Group 1 received brief messaging on e-cigarettes equivalent to the UK position, Group 2 received messaging equivalent to the US position, and Group 3 served as a control.Harm of cigarettes and e-cigarettes were rated on a 1–10 scale. Cigarettes smokers were asked if they intended to use e-cigarettes in a future quit attempt. RESULTS The group exposed to the US message rated e-cigarettes as significantly more risky than the control group, 5.87 (95%CI, 5.81-5.93) vs. 5.49 (5.43-5.55). The UK message group had a similar rating to the control, 5.42 (5.36-5.48). A lower percent of smokers in the US message group, 53.9% (51.8-56.0), intended to use e-cigarettes in future attempts to quit smoking than the control group, 60.1% (58.0-62.2), which was similar to that of the UK message group, 60.3% (58.3-62.4). CONCLUSIONS Messages from health authorities that cast e-cigarettes chiefly in a negative light could significantly increase the perceived risks of e-cigarettes and decrease smokers’ intentions to use e-cigarettes to quit smoking. In addressing the risk of e-cigarettes, policymakers should consider the net effect of a policy so as to maximize its potential to save lives.

BackgroundIn the latter half of 2019, an outbreak of pulmonary disease in the USA resulted in 2807 hospitalisations and 68 deaths, as of 18 February 2020. Given the severity of the outbreak, we assessed whether articles during the outbreak era more frequently warned about the dangers of vaping and whether internet searches for vaping cessation increased.MethodsUsing Tobacco Watcher, a media monitoring platform that automatically identifies and categorises news articles from sources across the globe, we obtained all articles that (a) discussed the outbreak and (b) primarily warned about the dangers of vaping. We obtained internet search trends originating from the USA that mentioned ‘quit’ or ‘stop’ and ‘e cig(s),’ ‘ecig(s),’ ‘e-cig(s),’ ‘e cigarette(s),’ ‘e-cigarette(s),’ ‘electronic cigarette(s),’ ‘vape(s),’ ‘vaping’ or ‘vaper(s)’ from Google Trends (eg, ‘how do I quit vaping?’). All data were obtained from 1 January 2014 to 18 February 2020 and ARIMA models were used with historical trends to forecast the ratio of observed to expected search volumes during the outbreak era.ResultsNews of the vaping-induced pulmonary disease outbreak was first reported on 25 July 2019 with 195 articles, culminating in 44 512 articles by 18 February 2020. On average, news articles warning about the dangers of vaping were 130% (95% prediction interval (PI): −15 to 417) and searches for vaping cessation were 76% (95% PI: 28 to 182) higher than expected levels for the days during the period when the sources of the outbreak were unknown (25 July to 27 September 2019). News and searches stabilised just after the US Centers for Disease Control and Prevention reported that a primary source of the outbreak was an additive used in marijuana vapes on 27 September 2019. In sum, there were 12 286 articles archived in Tobacco Watcher primarily warning about the dangers of vaping and 1 025 000 cessation searches following the outbreak.ConclusionThe vaping-induced pulmonary disease outbreak spawned increased coverage about the dangers of vaping and internet searches for vaping cessation. Resources and strategies that respond to this elevated interest should become a priority among public health leaders.

Background Increases in electronic nicotine delivery system (ENDS) use among high school students from 2017 to 2019 appear to be associated with the increasing popularity of the ENDS device JUUL. Objective We employed a content analysis approach in conjunction with natural language processing methods using Twitter data to understand salient themes regarding JUUL use on Twitter, sentiment towards JUUL, and underage JUUL use. Methods Between July 2018 and August 2019, 11,556 unique tweets containing a JUUL-related keyword were collected. We manually annotated 4000 tweets for JUUL-related themes of use and sentiment. We used 3 machine learning algorithms to classify positive and negative JUUL sentiments as well as underage JUUL mentions. Results Of the annotated tweets, 78.80% (3152/4000) contained a specific mention of JUUL. Only 1.43% (45/3152) of tweets mentioned using JUUL as a method of smoking cessation, and only 6.85% (216/3152) of tweets mentioned the potential health effects of JUUL use. Of the machine learning methods used, the random forest classifier was the best performing algorithm among all 3 classification tasks (ie, positive sentiment, negative sentiment, and underage JUUL mentions). Conclusions Our findings suggest that a vast majority of Twitter users are not using JUUL to aid in smoking cessation nor do they mention the potential health benefits or detriments of JUUL use. Using machine learning algorithms to identify tweets containing underage JUUL mentions can support the timely surveillance of JUUL habits and opinions, further assisting youth-targeted public health intervention strategies.

Smoking continues to be a major public health problem, despite a substantial decline in prevalence rates over the last decades. Quit smoking interventions typically target smokers, whether through individual or group treatment or through broader public health campaigns. Yet, nonsmokers represent a vast and largely untapped resource to help smokers quit. This article describes an innovative approach that targeted nonsmokers through a media-style campaign with repeated reminders about smoking cessation. We tested the nonsmoker intervention in a large randomized trial and showed it to be effective in helping smokers quit. Components of the intervention included repeated mailings with relevant cessation messages over a 10-week period, 2 brief check-in telephone calls, and access to a study Web site. In this article, we discuss details of the intervention development, content, and implementation.

BACKGROUND Increases in electronic nicotine delivery system (ENDS) use among high school students from 2017 to 2019 appear to be associated with the increasing popularity of the ENDS device JUUL. OBJECTIVE We employed a content analysis approach in conjunction with natural language processing methods using Twitter data to understand salient themes regarding JUUL use on Twitter, sentiment towards JUUL, and underage JUUL use. METHODS Between July 2018 and August 2019, 11,556 unique tweets containing a JUUL-related keyword were collected. We manually annotated 4000 tweets for JUUL-related themes of use and sentiment. We used 3 machine learning algorithms to classify positive and negative JUUL sentiments as well as underage JUUL mentions. RESULTS Of the annotated tweets, 78.80% (3152/4000) contained a specific mention of JUUL. Only 1.43% (45/3152) of tweets mentioned using JUUL as a method of smoking cessation, and only 6.85% (216/3152) of tweets mentioned the potential health effects of JUUL use. Of the machine learning methods used, the random forest classifier was the best performing algorithm among all 3 classification tasks (ie, positive sentiment, negative sentiment, and underage JUUL mentions). CONCLUSIONS Our findings suggest that a vast majority of Twitter users are not using JUUL to aid in smoking cessation nor do they mention the potential health benefits or detriments of JUUL use. Using machine learning algorithms to identify tweets containing underage JUUL mentions can support the timely surveillance of JUUL habits and opinions, further assisting youth-targeted public health intervention strategies.

25 July 2021 will mark the second anniversary1 of the e-cigarette, or vaping, product use associated lung injury (EVALI) outbreak.2 The concerns raised and news media attention focused on EVALI created a fertile environment for the tobacco industry to promote their e-cigarette alternatives,1 3 but this has not been studied. One such product is Philip Morris International’s (PMI) heated tobacco product: ‘IQOS’.4 5 To assess how PMI promoted IQOS in the news during EVALI, we used ‘Tobacco Watcher’ (www.tobaccowatcher.org), a fully automated and publicly available tobacco media analysis engine that warehouses news from more than 500 000+ sources. We plotted trends in news stories mentioning ‘IQOS’ finding the largest number of stories mentioning IQOS occurred on 25 September 2019, with 261 articles, more than double the next highest day previously recorded. While investigating this anomaly we discovered an official PMI press release entitled ‘Lung illnesses associated with use of vaping products in the US’ was published the same day.6 In the release (see online supplemental material), PMI recounted the EVALI outbreak beginning: ‘Skepticism and fear around vaping has emerged following the cases of respiratory illness and deaths in the US associated with the use of e-cigarettes.’ PMI then contrasted this against their IQOS heated tobacco product, writing ‘on April 30 2019, the FDA authorized IQOS for sale in the US, finding that marketing of the product would be ‘appropriate for the protection of public health’’ (quotes used in the original release).### Supplementary data [tobaccocontrol-2021-056661supp001.pdf] According to Tobacco Watcher, the original PMI press release was republished (including …

Author(s): Pulvers, Kim; Sun, Jessica Y; Zhuang, Yue-Lin; Holguin, Gabriel; Zhu, Shu-Hong | Abstract: ObjectivesImportant differences exist between closed-system and open-system e-cigarettes, but it is unknown whether online companies are marketing these devices differently and whether consumer reasons for using e-cigarettes vary by device type. This paper compares Internet-based advertising claims of closed- versus open-system products, and evaluates US consumers' reasons for using closed- versus open-system e-cigarettes.MethodsInternet sites selling exclusively closed (N = 130) or open (N = 129) e-cigarettes in December 2013-January 2014 were coded for advertising claims. Current users (≥18 years old) of exclusively closed or open e-cigarettes (N = 860) in a nationally representative online survey in February-March 2014 provided their main reason for using e-cigarettes.ResultsInternet sites that exclusively sold closed-system e-cigarettes were more likely to make cigarette-related claims such as e-cigarettes being healthier and cheaper than cigarettes (ps l .0001) compared to sites selling open systems. Many sites implied their products could help smokers quit. Exclusive users of both systems endorsed cessation as their top reason. Closed-system users were more likely to report their reason as "use where smoking is banned."ConclusionsAlthough promotion of e-cigarettes as cessation aids is prohibited, consumers of both systems endorsed smoking cessation as their top reason for using e-cigarettes.

Aims To estimate the prevalence and predictors of failed biochemical verification of self-reported abstinence among participants enrolled in trials of hospital-initiated smoking cessation interventions. Design Comparison of characteristics between participants who verified and those who failed to verify self-reported abstinence. Settings Multi-site randomized clinical trials conducted between 2010 and 2014 in hospitals throughout the United States. Participants Recently hospitalized smokers who reported tobacco abstinence 6 months post-randomization and provided a saliva sample for verification purposes (n = 822). Measurements Outcomes were salivary cotinine-verified smoking abstinence at 10 and 15 ng/ml cut-points. Predictors and correlates included participant demographics and tobacco use; hospital diagnoses and treatment; and study characteristics collected via surveys and electronic medical records. Findings Usable samples were returned by 69.8% of the 1178 eligible trial participants who reported 7-day point prevalence abstinence. The proportion of participants verified as quit was 57.8% [95% confidence interval (CI) = 54.4, 61.2; 10 ng/ml cut-off] or 60.6% (95% CI = 57.2, 63.9; 15 ng/ml). Factors associated independently with verification at 10 ng/ml were education beyond high school education [odds ratio (OR) = 1.51; 95% CI = 1.07, 2.11], continuous abstinence since hospitalization (OR = 2.82; 95% CI = 2.02, 3.94), mailed versus in-person sample (OR = 3.20; 95% CI = 1.96, 5.21) and race. African American participants were less likely to verify abstinence than white participants (OR = 0.64; 95% CI = 0.44, 0.93). Findings were similar for verification at 15 ng/ml. Verification rates did not differ by treatment group. Conclusions In the United States, high rates (40%) of recently hospitalized smokers enrolled in smoking cessation trials fail biochemical verification of their self-reported abstinence.

Purpose After marijuana commercialization, the presence of recreational marijuana dispensaries (RMDs) was rapidly increasing. The point-of-sale marketing poses concerns about children's exposure. This study examined advertising and promotions that potentially appeal to children and access restrictions in RMDs around California schools. Methods This was a cross-sectional and observational study conducted from June to September 2018. Trained fieldworkers audited retail environments in 163 RMDs in closest proximity to 333 randomly sampled public schools in California. Results About 44% of schools had RMDs located within 3 miles. Regarding interior marketing, 74% of RMDs had at least one instance of child-appealing products, packages, paraphernalia, or advertisements. RMDs closer to a school had a higher proportion with interior child-appealing marketing. More than three fourths of RMDs had generic promotional activities; particularly, 28% violated the free-sample ban. Regarding exterior marketing, only 2% of RMDs had those appealing to children. More than 60% of RMDs had exterior signs indicative of marijuana. Approximately, one-third had generic advertisements, and 13% had advertisements bigger than 1,600 square inches. Regarding access restrictions, almost all RMDs complied with age verification, but 84% had no age limit signs, and only 40% had security personnel. Conclusions Despite minimal point-of-sale marketing practices appealing to children on the exterior of RMDs around California schools, such practices were abundant on the interior. Marketing practices not specifically appealing to children were also common on both the interior and exterior of RMDs. Dispensaries' violation of age verification law, lack of security personnel, and presence of child-appealing marketing should be continuously monitored and prevented.

Objectives. To assess tobacco product availability, advertised discounts, and prices in rural and nonrural stores, comparing results for two definitions of rural. Method. This geospatial study linked data from marketing surveillance in a representative sample of licensed tobacco retailers in California ( n = 1,276) and categorized rural/nonrural stores at the county and tract levels. Data were collected from January to March, 2017, and mixed-models analyses tested for differences by location (rural vs. nonrural). Results. Compared to nonrural stores, rural-county stores were 2.1 (95% confidence interval [CI; 1.2, 3.6]) times more likely to sell chewing tobacco and 2.5 (95% CI [1.4, 4.2]) times more likely to sell roll-your-own. Rural-county stores sold larger packs of cigarillos for less than $1 (coefficient = 0.22, 95% CI [0.05, 0.39]) and charged less for the cheapest cigarette pack regardless of brand (estimated mean difference = $−0.21, 95% CI [−0.39, −0.03]). Contrary to expectation, a popular brand of chewing tobacco cost more in rural-county stores. A tract-level definition of rural reclassified only 1 in 10 stores, and did not substantially alter the results. Overall, 32.9% of stores advertised discounts on chewing tobacco, but this was more common in rural than nonrural census tracts (adjusted odds ratio = 1.81, 95% CI [1.14, 2.88]). Discussion. Evidence that $1 buys more cigarillos in rural-county stores than elsewhere adds to health equity concerns that the prevalence of cheap, flavored tobacco is not limited to neighborhoods characterized by socioeconomic disadvantage, higher proportions of African Americans, and higher proportions of school-age youth. Policies that focus on the retail environment for tobacco are needed to make tobacco less attractive and more costly everywhere, including rural areas.

Background Proactive referrals through electronic orders (eReferrals) can increase patient connection with tobacco quitlines. More information is needed on “real-world” implementation of electronic health record tools to promote tobacco cessation while minimizing provider burden. Objectives This paper examines the health system implementation of an eReferral to a tobacco quitline without best practice alerts in primary care, specialty, and hospital settings in an academic health system. Methods This is a prospective implementation study of a health system tobacco eReferral to a state quitline that was completed with an approach to minimize provider cognitive burden. Data are drawn from electronic health record data at University of California, Davis Health Systems (March 2013–February 2016). Results Over 3 years, 16,083 encounters with smokers resulted in 1,137 eReferral orders (7.1%). Treatment reach was 1.6% for quitline services and 2.3% for outpatient group classes. While the group classes were offered to outpatient smokers, the eReferral order was included in an outpatient order set and eventually an automated inpatient discharge order set; no provider alerts were implemented. Referrals were sustained and doubled after inpatient order set implementation. Among all first time eReferral patients, 12.2% had a 6 to 12 month follow-up visit at which they were documented as nonsmoking. Conclusion This study demonstrates a quitline eReferral order can be successfully implemented and sustained with minimal promotion, without provider alerts and in conjunction with group classes. Reach and effectiveness were similar to previously described literature.