Hospital-Initiated Smoking Cessation Among Patients Admitted with Behavioral Health Conditions.

BACKGROUND: Smoking rates among people living with behavioral health conditions (BHC) range from 30 to 65% and are 2-4 times higher than rates found in the general population. Starting tobacco treatment during a hospital stay is effective for smoking cessation, but little is known regarding treatment response among inpatients with BHC. OBJECTIVE: This study pooled data across multiple clinical trials to determine the relative success in quitting among participants with BHC compared to other study participants. PARTICIPANTS: Adults who smoke (≥ 18 years old) from five hospital-based smoking cessation randomized clinical trials. DESIGN: A retrospective analysis using data from the electronic health record to identify participants with primary diagnoses related to BHC. Recruitment and data analysis were conducted from 2011 to 2016. We used propensity score matching to pair patients with BHC to those with similar characteristics and logistic regression to determine differences between groups. MEASURES: The main outcome was self-reported 30-day abstinence 6 months post-discharge. RESULTS: Of 6612 participants, 798 patients had a BHC-related primary diagnosis. The matched sample included 642 pairs. Nearly 1 in 3 reported using tobacco medications after hospitalization, with no significant difference between patients with and without BHC (29.3% vs. 31.5%; OR (95% CI) = 0.90 (0.71, 1.14), p = 0.40). Nearly 1 in 5 patients with BHC reported abstinence at 6 months; however, their odds of abstinence were 30% lower than among people without BHC (OR (95% CI) = 0.70 (0.53,0.92), p = 0.01). CONCLUSION: When offered tobacco treatment, hospitalized patients with BHC were as likely as people without BHC to accept and engage in treatment. However, patients with BHC were less likely to report abstinence compared to those without BHC. Hospitals are a feasible and promising venue for tobacco treatment among inpatients with BHC. More studies are needed to identify treatment approaches that help people with BHC achieve long-term abstinence.

LGBTQ Utilization of a Statewide Tobacco Quitline: Engagement and Quitting Behavior, 2010-2022.

INTRODUCTION: Lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) individuals use tobacco at disproportionately high rates but are as likely as straight tobacco users to want to quit and to use quitlines. Little is known about the demographics and geographic distribution of LGBTQ quitline participants, their engagement with services, or their long-term outcomes. AIMS AND METHODS: Californians (N = 333 429) who enrolled in a statewide quitline 2010-2022 were asked about their sexual and gender minority (SGM) status and other baseline characteristics. All were offered telephone counseling. A subset (n = 19 431) was followed up at seven months. Data were analyzed in 2023 by SGM status (LGBTQ vs. straight) and county type (rural vs. urban). RESULTS: Overall, 7.0% of participants were LGBTQ, including 7.4% and 5.4% of urban and rural participants, respectively. LGBTQ participants were younger than straight participants but had similar cigarette consumption. Fewer LGBTQ participants reported a physical health condition (42.1% vs. 48.4%) but more reported a behavioral health condition (71.1% vs. 54.5%; both p's < .001). Among both LGBTQ and straight participants, nearly 9 in 10 chose counseling and both groups completed nearly three sessions on average. The groups had equivalent 30-day abstinence rates (24.5% vs. 23.2%; p = .263). Similar patterns were seen in urban and rural subgroups. CONCLUSIONS: LGBTQ tobacco users engaged with and appeared to benefit from a statewide quitline even though it was not LGBTQ community-based. A quitline with staff trained in LGBTQ cultural competence can help address the high prevalence of tobacco use in the LGBTQ community and reach members wherever they live. IMPLICATIONS: This study describes how participants of a statewide tobacco quitline broke down by sexual orientation and gender. It compares participants both by SGM status and by type of county to provide a more complete picture of quitline participation both in urban areas where LGBTQ community-based cessation programs may exist and in rural areas where they generally do not. To our knowledge, it is the first study to compare LGBTQ and straight participants on their use of quitline services and quitting aids, satisfaction with services received, and rates of attempting quitting and achieving prolonged abstinence from smoking.

Re-engagement of Low-Income Smokers in Quitline Services: Effects of Incentives and Method of Contact.

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 < .0001). Letters resulted in greater re-engagement than calls (10.9% vs. 7.8%, respectively, p = .0001). Among letters, there was a dose-response relationship between incentive level and re-engagement rates (p = .003). Re-engagement decreased as time since enrollment increased, from 13.7% at 3 months to 5.7% at 12 months (all p's < 0.0001). 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.

Connecting Vietnamese-Speaking Immigrants who Smoke to the Asian Smokers Quitline: A Feasibility Pilot of Proactive Outreach Interventions.

INTRODUCTION: Cigarette smoking is highly prevalent among Asian American immigrant subgroups. Previously, Asian-language telephone Quitline services were only available in California. In 2012, the Centers for Disease Control and Prevention (CDC) funded the national Asian Smokers' Quitline (ASQ) to expand Asian-language Quitline services nationally. However, there are relatively few calls to the ASQ from outside California. AIMS AND METHODS: This pilot study assessed the feasibility of two proactive outreach interventions to connect Vietnamese-speaking participants who smoke to the ASQ. Both interventions, (1) proactive telephone outreach with a counselor trained in motivational interviewing (PRO-MI) and (2) proactive telephone outreach with interactive voice response (PRO-IVR), were adapted to be culturally and linguistically appropriate for Vietnamese-speaking participants. Participants were randomly assigned 2:1 to PRO-IVR versus PRO-MI. Assessments were conducted at baseline and 3 months post-enrollment. Feasibility indicators were the recruitment rate and initiation of ASQ treatment. RESULTS: Using the HealthPartners electronic health record, a large health system in Minnesota, we identified approximately 343 potentially eligible Vietnamese participants who were mailed invitation letters and baseline surveys with telephone follow-up. We enrolled 86 eligible participants (25% recruitment rate). In the PRO-IVR group 7/58 participants were directly transferred to the ASQ (12% initiation rate) and in the PRO-MI group 8/28 participants were warm transferred to the ASQ (29% initiation rate). CONCLUSIONS: This pilot study demonstrates the feasibility of our recruitment methods and of implementing proactive outreach interventions to promote the initiation of smoking cessation treatment with the ASQ. IMPLICATIONS: This pilot study contributes novel data on the uptake of Asian Smokers' Quitline (ASQ) services among Vietnamese-speaking people who smoke (PWS) with two proactive outreach interventions: (1) proactive telephone outreach with a counselor trained in motivational interviewing (PRO-MI) and (2) proactive telephone outreach with interactive voice response (PRO-IVR). We found that it is feasible to implement these proactive outreach interventions to promote the initiation of ASQ cessation treatment among Vietnamese-language speaking PWS. Future large trials are needed to rigorously compare PRO-MI and PRO-IVR and conduct budget impact analyses to understand the most efficient strategies for incorporation into health system settings.

A Proactive Outreach Strategy Using a Local Area Code to Refer Unassisted Smokers in a Safety Net Health System to a Quitline: A Pragmatic Randomized Trial.

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.

Implementation, Maintenance, and Outcomes of an Electronic Referral to a Tobacco Quitline Across Five Health Systems.

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.

Early adoption of heated tobacco products resembles that of e-cigarettes.

BACKGROUND: Heated 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. METHODS: A 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. RESULTS: Overall, 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%). CONCLUSIONS: Only 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.

Google shopping queries for vaping products, JUUL and IQOS during the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak.

OBJECTIVES: To 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. METHODS: We 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. RESULTS: During 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. CONCLUSIONS: These 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.

California School Staff Reports of Seeing Students Vaping at School and Disciplinary Actions.

Youth vaping is a concern and schools may use many approaches to discipline students caught vaping at school. This study identified the prevalence of school staff seeing vaping in schools and the measures used to discipline students. A state-wide sample of 7,938 staff from 255 middle and high schools reported whether they saw any students vaping at school in the last 30 days, whether they have caught any students vaping during class in the last semester, and what happened after catching a student vaping in class. Open-text responses were coded and themes were identified related to disciplinary approaches. 31.9% of staff reported seeing students vaping at school, and 11.9% of teachers reported catching a student vaping during class. Teachers described four categories of disciplinary approaches after catching students vaping in class: no consequences, punitive approaches, restorative approaches, and mixed approaches. Additional support is necessary to help schools address student vaping.

American Indian/Alaska Native Smokers' Utilization of a Statewide Tobacco Quitline: Engagement and Quitting Behaviors From 2008 to 2018.

INTRODUCTION: The objective of this study was to examine access, engagement, and quitting behaviors of American Indian/Alaska Native (AIAN) callers to the California Smokers' Helpline. Telephone counseling is the primary function of the quitline. The overarching theoretical framework for California's quitline is social cognitive theory, although it also utilizes motivational interviewing and cognitive-behavioral strategies. AIMS AND METHODS: AIAN (n = 16 089) and White (n = 173 425) California quitline callers from 2009 to 2018 were compared on their characteristics, engagement, and quitting behaviors. Quitline callers responded to a telephone survey at intake. A random selection was called for evaluation 7 months later (White n = 8194, AIAN n = 764). Data from the 2009 to 2017 California Health Interview Survey (CHIS) were used as a reference point for AIANs (AIAN n = 1373). RESULTS: The quitline and CHIS had similar proportions of AIANs (4.6% vs. 4.3%, respectively). AIAN smokers were more likely than White smokers to report physical (53.6% vs. 44.9%) and mental (65.7% vs. 57.8%) health conditions at intake. AIANs were more likely to participate in counseling than White callers (67.1% vs. 65.7%). Among those who received counseling, AIANs had greater odds than White smokers of making a quit attempt (adjusted odds ratio = 1.39 [1.06, 1.81]) and similar odds of quitting for 180 days (adjusted odds ratio = 0.95 [0.69, 1.31]). CONCLUSIONS: Rates of access, engagement, and quitting suggest that individualized quitline counseling was as effective with AIANs as it was with White smokers. Increasing efforts to refer AIANs to existing state quitlines can help more smokers quit. IMPLICATIONS: This study showed that AIAN smokers were well represented among California quitline callers, even without a targeted campaign. It also found that AIAN smokers engaged in quitline services and were as able to quit as their White counterparts were, even after adjusting for other baseline characteristics. One implication is that public health programs can promote quitlines using broad-based campaigns knowing that they will still motivate AIAN smokers to seek help. Another implication is that a standard, individualized counseling protocol delivered by culturally competent quitline staff can effectively help AIAN smokers to quit.

News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation.

BACKGROUND: In 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. METHODS: Using 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. RESULTS: News 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. CONCLUSION: The 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.

Retail Tobacco Marketing in Rural Versus Nonrural Counties: Product Availability, Discounts, and Prices.

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.

Planned care for obesity and cardiovascular risk reduction using a stepped-down approach: A randomized-controlled trial.

Primary care-based approaches to address concurrent obesity and cardiovascular disease risk factors (CVDRFs) that begin with a high intensity intervention that is subsequently decreased (i.e., stepped-down) if weight loss is achieved have not been rigorously examined. Our study is a 20-month, single-blind randomized controlled trial at five primary care clinics in San Diego, CA, in 2013, where 262 obese adults (aged 25-70 years; 32.1% male; 59.2% white) with at least one CVDRF were enrolled into planned care for obesity and risk reduction (PCORR) using a stepped-down approach or enhanced usual care (EUC). All patients received physician recommendations for weight loss and CVDRFs. EUC patients (n = 132) received an individual session with a health educator every 4 months. PCORR patients (n = 130) received individual and group sessions (in-person, mail, telephone, and email) in three steps, characterized by less contact if success was achieved. At 20 months, 40.7%, 23.8%, and 15.4% of PCORR patients were in steps 1, 2, and 3, respectively (25.2% were lost to follow-up). PCORR resulted in a between-group difference in reduction in body weight of 6.1% [95% CI, 5.3 to 6.9] compared to EUC 2.8% [95% CI, 2.0 to 3.6] p = 0.007, with a greater reduction in BMI (35.2 [95% CI, 34.4 to 35.9] to 33.7 [95% CI, 32.9 to 34.5] kg/m2) than EUC (36.0 [95% CI, 35.3 to 36.8] to 35.1 [95% CI, 34.3 to 35.9] kg/m2), as indicated by a significant treatment by time interaction (p = 0.009). PCORR resulted in greater weight loss over 20 months than EUC. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01134029.

Telephone care co-ordination for tobacco cessation: randomised trials testing proactive versus reactive models.

OBJECTIVES: We conducted two parallel studies evaluating the effectiveness of proactive and reactive engagement approaches to telephone treatment for smoking cessation. METHODS: Patients who smoked and were interested in quitting were referred to this study and were eligible if they were current smokers and had an address and a telephone number. The data were collected at 35 Department of Veterans Affairs (VA) sites, part of four VA medical centres in both California and Nevada. In study 1, participants received multisession counselling from the California Smokers' Helpline (quitline). In study 2, they received self-help materials only. Patients were randomly assigned by week to either proactive or reactive engagement, and primary care staff were blind to this assignment. Providers gave brief advice and referred them via the electronic health record to a tobacco co-ordinator. All patients were offered cessation medications. OUTCOME: Using complete case analysis, in study 1 (quitline), patients in the proactive condition were more likely than those in the reactive condition to report abstinence at 6 months (21.0% vs 16.4%, p=0.03). No difference was found between conditions in study 2 (self-help) (16.9% vs 16.5%, p=0.88). Proactive outreach resulted in increased use of cessation medications in both the quitline (70.1% vs 57.6%, p<0.0001) and the self-help studies (74.5% vs 48.2%, p<0.0001). CONCLUSION: Proactive outreach with quitline intervention was associated with greater long-term abstinence. Both studies resulted in high rates of medication use. Sites should use a proactive outreach approach and provide counselling whenever possible. TRIAL REGISTRATION NUMBER: NCT00123682.

Evolution of Electronic Cigarette Brands From 2013-2014 to 2016-2017: Analysis of Brand Websites.

BACKGROUND: The electronic cigarette (e-cigarette) industry has grown in size and organizational complexity in recent years, most notably with the entry of major tobacco companies in 2012 and the proliferation of vape shops. Many brands maintain retail websites that present e-cigarette marketing claims and sell directly to consumers. Understanding of the evolving composition of different types of e-cigarette brand websites is currently underdeveloped. OBJECTIVE: This paper presents how e-cigarette brand websites surveyed in 2013-2014 evolved by 2016-2017, and how the websites run by different types of e-cigarette producers currently differ. METHODS: In 2016-2017, we revisited 466 e-cigarette brand websites surveyed in 2013-2014, 288 of which were extant, and identified 145 new English-language websites. We compared product designs, marketing claims, and age-based warnings presented by types of e-cigarette producers: major tobacco companies, independent vape shops, and independent internet-only companies. RESULTS: Among the 433 websites examined in 2016-2017, 12 were owned by major tobacco companies, 162 operated a physical vape shop, and 259 were internet-only operations. Closed-system product designs were sold by 83% (10/12) of tobacco-owned brands. In comparison, 29.0% (47/162, P<.001) of vape shop and 55.2% (143/259, P=.06) of internet-only brands sold closed-system designs. Compared with vape shop and internet-only brands, tobacco-owned brands offered a smaller set of product models (P values <.001) and a narrower range of flavors (P values <.01), with greater emphasis on the traditional combustible cigarette flavors of tobacco and menthol (P values <.001). Tobacco-owned brands also offered a narrower range of nicotine options than the vape shops (P=.002) and were less likely to offer nicotine-free e-liquid compared with internet-only and vape shop brands (P values <.001). Finally, 83% (10/12) of tobacco-owned brand websites featured age verification pop-up windows. In comparison, only 50.2% (130/259) of internet-only brands (P=.01) and 60.5% (98/162) of vape shop brands (P=.06) featured age verification windows. Websites surveyed in both 2013-2014 and 2016-2017 became more likely to sell open-system mods (P<.001) and sold an increased number of product models (P<.001), flavors (P<.001), and nicotine options (P<.001). Prevalence of several types of claims decreased significantly, including indirect claims regarding smoking cessation (P<.001), claims regarding e-cigarettes as healthier (P<.001), less expensive (P<.001), and usable in more places (P<.001) compared with combustible cigarettes. CONCLUSIONS: The number of e-cigarette brands has not appeared to increase since 2014, even as website messaging evolved, with brands owned by tobacco companies and vape shops pulling in opposite directions. Brands owned by tobacco companies offered a limited range of e-cigarette products, whereas brands owned by vape shops emphasized a panoply of flavor and nicotine options. Furthermore, the Food and Drug Administration's regulatory action may influence the types of e-cigarette products offered and the market shares of various companies.

Use of electronic cigarettes in smoke-free environments.

BACKGROUND: Although most US states prohibit cigarette smoking in public places and worksites, fewer jurisdictions regulate indoor use of electronic cigarettes (e-cigarettes). Given the dramatic increase in e-cigarette use and concern about its impact on non-users, there is a need to examine the use of e-cigarettes in smoke-free environments and related attitudes and perceptions. METHODS: Recruited from a nationally representative adult panel (GfK's KnowledgePanel), 952 current users of e-cigarettes completed a cross-sectional online survey in 2014. Multivariate logistic regressions were conducted to examine the factors associated with ever using e-cigarettes in smoke-free environments. RESULTS: Overall, 59.5% of e-cigarette users had vaped where cigarette smoking was not allowed. Young adults (18-29 years) were most likely to do so, 74.2%. The places of first-time use most often mentioned were service venues (bar, restaurant, lounge and club), 30.7%, followed by worksites, 23.5%. Daily e-cigarette users were more likely to have vaped in smoke-free environments than non-daily users (OR=2.08, p=0.012). Only 2.5% of those who used e-cigarettes in smoke-free environments reported negative reactions from other people. Most e-cigarette users did not think e-cigarettes are harmful to themselves or to by-standers, and thus should not be banned where smoking is; those who had used e-cigarettes where smoking is banned were even more likely to hold these views. CONCLUSIONS: E-cigarette use in smoke-free environments was common, suggesting that most e-cigarette users do not consider smoke-free laws to apply to e-cigarettes. Explicit laws should be considered if jurisdictions want to prohibit e-cigarette use in public places.

Linking smokers to a quitline: randomized controlled effectiveness trial of a support person intervention that targets non-smokers.

Evidence-based treatments (e.g. quitlines) are greatly underutilized by smokers limiting their public health impact. A three-session phone intervention for nonsmoking family members and friends (i.e. support persons) was successful for increasing smoker quitline enrollment. To enhance the intervention's potential translatability, in this study, we delivered treatment for the non-smoker within ongoing quitline services and compared the efficacy of the three-call intervention to a streamlined version (one call). A total of 704 adult non-smokers (85% female, 95% White) wanting to help a smoker quit and recruited statewide in Minnesota participated in this randomized controlled trial with parallel groups. Non-smokers received mailed written materials and were randomly assigned to a control condition (no additional treatment, n = 235), or to a one- (n = 233) or three-call (n = 236) intervention delivered by quitline coaches. The main outcome was smoker quitline enrollment through 7-month follow-up. Smoker quitline enrollment was similar for those linked to non-smokers in the one- and three-call interventions (14.6% [34/233] and 14.8% [35/236]), and higher than for smokers linked to control participants (6.4% [15/235]), P = 0.006. Just one quitline coaching call delivered to non-smokers increased treatment enrollment among smokers. The reach of quitlines could be enhanced by targeting the social support network of smokers.

Quitting smoking before and after varenicline: a population study based on two representative samples of US smokers.

BACKGROUND: Varenicline is known to have greater efficacy than other pharmacotherapy for treating nicotine dependence and has gained popularity since its introduction in 2006. This study examines if adding varenicline to existing pharmacotherapies increased the population cessation rate. METHODS: Data are from two cross-sectional US Current Population Surveys-Tobacco Use Supplements (2003 and 2010-2011). Smokers and recent quitters 18 or older (N=34 869 in 2003, N=27 751 in 2010-2011) were asked if they had used varenicline, bupropion or nicotine replacement therapies (NRT) in their most recent quit attempt. The annual cessation rate, as well as the per cent of smokers who had quit for ≥3 months, was compared between surveys. RESULTS: Varenicline use increased from 0% in 2003 to 10.9% in 2010-2011, while use of bupropion decreased from 9.1% to 3.5%, and NRT from 24.5% to 22.4%. Use of any pharmacotherapy increased by 2.4 percentage points. Varenicline users stayed on cessation aids longer and were less likely to relapse than users of other pharmacotherapies in the first 3 months of a quit attempt, after which the difference was no longer significant. The change in annual cessation rate was negligible, from 4.5% in 2003 to 4.7% in 2010-2011 (p=0.36). CONCLUSIONS: Addition of varenicline to the list of approved cessation aids has mainly led to displacement of other therapies. As a result, there was no meaningful change in population cessation rate despite a remarkable increase in varenicline use. The population impact of a new therapy is a function of more than efficacy or reach of the therapy.

Long-term e-cigarette use and smoking cessation: a longitudinal study with US population.

BACKGROUND: E-cigarettes have grown popular. The most common pattern is dual use with conventional cigarettes. Dual use has raised concerns that it might delay quitting of cigarette smoking. This study examined the relationship between long-term use of e-cigarettes and smoking cessation in a 2-year period. METHODS: A nationally representative sample of 2028 US smokers were surveyed in 2012 and 2014. Long-term e-cigarette use was defined as using e-cigarettes at baseline and follow-up. Use of e-cigarettes only at baseline or at follow-up was defined as short-term use. Non-users did not use e-cigarettes at either survey. Quit attempt rates and cessation rates (abstinent for 3 months or longer) were compared across the three groups. RESULTS: At 2-year follow-up, 43.7% of baseline dual users were still using e-cigarettes. Long-term e-cigarette users had a higher quit attempt rate than short-term or non-users (72.6% vs 53.8% and 45.5%, respectively), and a higher cessation rate (42.4% vs 14.2% and 15.6%, respectively). The difference in cessation rate between long-term users and non-users remained significant after adjusting for baseline variables, OR=4.1 (95% CI 1.5 to 11.4) as did the difference between long-term users and short-term users, OR=4.8 (95% CI 1.6 to 13.9). The difference in cessation rate between short-term users and non-users was not significant, OR=0.9 (95% CI 0.5 to 1.4). Among those making a quit attempt, use of e-cigarettes as a cessation aid surpassed that of FDA-approved pharmacotherapy. CONCLUSIONS: Short-term e-cigarette use was not associated with a lower rate of smoking cessation. Long-term use of e-cigarettes was associated with a higher rate of quitting smoking.