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BackgroundSmoking 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.ObjectiveThis study pooled data across multiple clinical trials to determine the relative success in quitting among participants with BHC compared to other study participants.ParticipantsAdults who smoke (≥ 18 years old) from five hospital-based smoking cessation randomized clinical trials.DesignA 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.MeasuresThe main outcome was self-reported 30-day abstinence 6 months post-discharge.ResultsOf 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).ConclusionWhen 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.

BackgroundIncreases 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. ObjectiveWe 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. MethodsBetween 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. ResultsOf 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). ConclusionsOur 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.

Our aim in this work is to apply text mining and novel visualization techniques to textual data derived from online health discussion forums in order to better understand consumers experiences and perceptions of electronic cigarettes and hookah.

IntroductionLesbian, 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.MethodsCalifornians (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 7 months. Data were analyzed in 2023 by SGM status (LGBTQ vs. straight) and county type (rural vs. urban).ResultsOverall, 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

IntroductionCigarette 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.MethodsThis 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 vs. PRO-MI. Assessments were conducted at baseline and three months post-enrollment. Feasibility indicators were the recruitment rate and initiation of ASQ treatment.ResultsUsing the HealthPartners EHR, a large health system in Minnesota, we identified approximately 343 potentially eligible Vietnamese participants who were mailed invitations 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).ConclusionsThis 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.ImplicationsThis pilot study contributes novel data on the uptake of Asian Smokers' Quitline (ASQ) services among Asian-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.

IntroductionElectronic 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 methodsBeginning 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.ResultsOf 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).ConclusionsWith 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.ImplicationsThis 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.

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. 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. 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

IntroductionPeople 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.MethodsA 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.ResultsThe 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 (p

BackgroundFamily meals are associated with adolescent health outcomes. Studies have reported that girls are less likely than boys to have dinner with their families.PurposeThis study examined gender differences in family meal frequency and the relationship between meal frequency and other health measures, using a large and representative sample of California middle and high school students.MethodsThis study analyzed data from the 2019-2020 California Student Tobacco Survey (159,904 students in grades 8, 10, and 12). Dinner with the family 5-7 times per week was defined as high frequency. Students reported substance use (of tobacco, marijuana, and alcohol) and rated their mental health and happiness in their home life. All analyses were weighted to reflect the California student population.ResultsFewer than half (44.7%) of students reported a high frequency of family meals, with boys more likely than girls and those who identified their gender in another way the least likely to do so (48.3%, 42.2%, 34.0%, respectively). Gender differences persisted across demographics and the quality of family relationships, and were evident as early as eighth grade. Less frequent family meals were associated with poorer mental health (OR = 1.34, 95% CI: 1.29-1.40) and substance use (OR = 1.27, 95% CI: 1.21-1.32), controlling for the effects of demographics and family dynamics.ConclusionGender differences in family meal frequency emerge early in adolescence and persist across demographics and family relationships. Given that family meals play a protective role in an adolescent's life, these gender differences are concerning.

IntroductionProactive 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 methodsThis 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.ResultsOverall, 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).ConclusionsProactive 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.ImplicationsPopulation-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.

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.

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.

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.

BackgroundSocial media platforms such as Twitter are rapidly becoming key resources for public health surveillance applications, yet little is known about Twitter users’ levels of informedness and sentiment toward tobacco, especially with regard to the emerging tobacco control challenges posed by hookah and electronic cigarettes. ObjectiveTo develop a content and sentiment analysis of tobacco-related Twitter posts and build machine learning classifiers to detect tobacco-relevant posts and sentiment towards tobacco, with a particular focus on new and emerging products like hookah and electronic cigarettes. MethodsWe collected 7362 tobacco-related Twitter posts at 15-day intervals from December 2011 to July 2012. Each tweet was manually classified using a triaxial scheme, capturing genre, theme, and sentiment. Using the collected data, machine-learning classifiers were trained to detect tobacco-related vs irrelevant tweets as well as positive vs negative sentiment, using Naïve Bayes, k-nearest neighbors, and Support Vector Machine (SVM) algorithms. Finally, phi contingency coefficients were computed between each of the categories to discover emergent patterns. ResultsThe most prevalent genres were first- and second-hand experience and opinion, and the most frequent themes were hookah, cessation, and pleasure. Sentiment toward tobacco was overall more positive (1939/4215, 46% of tweets) than negative (1349/4215, 32%) or neutral among tweets mentioning it, even excluding the 9% of tweets categorized as marketing. Three separate metrics converged to support an emergent distinction between, on one hand, hookah and electronic cigarettes corresponding to positive sentiment, and on the other hand, traditional tobacco products and more general references corresponding to negative sentiment. These metrics included correlations between categories in the annotation scheme (phihookah-positive=0.39; phie-cigs-positive=0.19); correlations between search keywords and sentiment (χ24=414.50, P

ObjectiveThe aim of this study was to evaluate the serotype， drug resistance， and molecular typing characteristics of Salmonella isolated from patients with foodborne diseases in Guizhou Province in 2021.MethodsA total of 164 Salmonella strains were isolated from patients with diarrhea under the Guizhou Provincial Active Surveillance of Foodborne Diseases program in 2021. These strains were subjected to slide agglutination serotyping test， minimum inhibitory concentration tests with 14 antibiotics， and pulsed-field gel electrophoresis （PFGE） for molecular typing.ResultsThe 164 Salmonella strains were divided into 25 serotypes. The dominant serotypes were S. typhimurium （46.34%，76/164）， S. enteritidis （15.24%，25/164）， and S. javana （9.15%，15/164）. The drug resistance rate of the 164 Salmonella strains was 100% （164/164）. The multidrug resistance rate was 86.59% （142/164）. Out of the 15 antibiotics tested， resistance was most frequently observed against ampicillin （95.12%，156/164）， tetracycline （78.05%，128/164）， and nalidixic acid （63.41%，104/164）. Seventy-two S. typhimurium， 24 S. enteritidis， and 15 S. javana strains were divided into 58， 12， and 3 different PFGE clusters， respectively.ConclusionThere were many Salmonella serotypes detected in patients with diarrhea in the Guizhou Province， and multidrug resistance was common. PFGE fingerprints demonstrated genetic diversity of the isolated strains. Monitoring of drug resistance in Salmonella should be strengthened， especially for the clinical treatment of S. typhimurium.