Prevalence of Cannabis Use and Cannabis Route of Administration among Massachusetts Adults in Buprenorphine Treatment for Opioid Use Disorder.

BACKGROUND: Recent prevalence estimates of cannabis use among individuals receiving medication treatment for OUD (MOUD) are lacking, and no study has characterized cannabis route of administration (cROA) in this population. These knowledge gaps are relevant because cannabis' effects and health outcomes vary by cROA and the availability and perceptions of cROA (e.g., vaping devices) are changing. METHODS: The Vaping In Buprenorphine-treated patients Evaluation (VIBE) cross-sectional survey assessed the prevalence and correlates of cannabis use and cROA among adults receiving buprenorphine MOUD from 02/20 to 07/20 at five community health centers in Massachusetts, a state with legal recreational and medical cannabis use. RESULTS: Among the 92/222 (41%) respondents reporting past 30-day cannabis use, smoking was the most common cROA (75%), followed by vaping (38%), and eating (26%). Smoking was more often used as a single cROA vs. in combination others (p = 0.01), whereas vaping, eating, and dabbing were more often used in combination with another cROA (all p < 0.05). Of the 39% of participants reporting multiple cROA, smoking and vaping (61%), and smoking and eating (50%), were the most prevalent combinations. Nonwhite race (vs. white) and current cigarette smoking (vs. no nicotine use) were associated with past 30-day cannabis use in multiple logistic regression. CONCLUSIONS: Prevalence of past 30-day cannabis use among individuals receiving buprenorphine MOUD in Massachusetts in 2020 was nearly double the prevalence of cannabis use in Massachusetts' adult general population in 2019 (21%). Our data are consistent with state and national data showing smoking as the most common cROA.

Longitudinal Electronic Cigarette Use Among Patients Recently Diagnosed With Cancer Enrolled in a Smoking Cessation Trial.

INTRODUCTION: Many cancer patients who smoke report concurrent e-cigarette use. Using a mixed-methods approach, we aimed to (1) describe longitudinal e-cigarette use over 6 months after a cancer diagnosis and (2) assess the association between e-cigarette use and smoking cessation, among cancer patients in a smoking cessation trial. AIMS AND METHODS: Data were from a 2-site randomized controlled trial of Standard (brief counseling) versus Intensive treatment (sustained counseling plus smoking cessation medication) in individuals who smoke recently diagnosed with cancer. Participants (n = 303) reported e-cigarette use at baseline, 3 months, and 6 months. Biochemically-verified past 7-day cigarette abstinence was collected at 6 months. Qualitative interviews at 6 months explored factors related to e-cigarette use. RESULTS: E-cigarette use prevalence was highest between baseline and 3 months (16%) and declined over time. Participants using e-cigarettes at follow-up had higher baseline cigarette dependence and smoked more heavily. Multivariable analyses found no significant association between follow-up e-cigarette use and 6-month cigarette abstinence. E-cigarette use at follow-up was higher in the Standard versus Intensive treatment group (p = .003 and .001 at 3 and 6 mo, respectively). Smoking cessation and health concerns were primary reasons for using e-cigarettes. CONCLUSIONS: Among individuals who smoke recently diagnosed with cancer and enrolled in a smoking cessation intervention trial, e-cigarette use during trial participation was not associated with smoking abstinence. Individuals who chose to use e-cigarettes were less likely to be receiving intensive cessation support as part of the trial. Further studies are needed to evaluate the association between e-cigarette use and smoking cessation in cancer patients. IMPLICATIONS: E-cigarette use was not associated with cigarette abstinence at 6 months among adults who smoke recently diagnosed with cancer enrolled in a smoking cessation trial. Individuals with easier access to evidence-based smoking cessation treatment may be less likely to use e-cigarettes.

Perceptions of E-cigarettes among adults in treatment for opioid use disorder.

Background: Individuals with opioid use disorder (OUD) have a high prevalence of smoking and limited success quitting smoking with existing tools. There is ongoing debate about whether electronic cigarettes (e-cigarettes) may be a viable harm reduction strategy. We sought to determine the potential acceptability of e-cigarettes for cigarette harm reduction among individuals receiving medication treatment for opioid use disorder (MOUD) with buprenorphine. Among individuals receiving MOUD we investigated health harm perceptions of cigarettes, nicotine e-cigarettes, and nicotine replacement therapy (NRT), and perceptions of the helpfulness of e-cigarettes and NRT for quitting cigarettes. Methods: Cross-sectional telephone survey conducted among adults in buprenorphine treatment at five community health centers in the Boston, MA metropolitan area from February to July 2020. Results: 93% and 63% of participants rated cigarettes and e-cigarettes, respectively, as very or extremely harmful to health, and 62% rated NRT as not to slightly harmful to health. Over half (58%) rated cigarettes as more harmful than e-cigarettes; 65% and 83% perceived e-cigarettes and NRT, respectively, to be helpful for reducing/quitting cigarette use. In bivariate analyses, nicotine e-cigarette users, compared to nonusers, perceived e-cigarettes to be less harmful to health and more often rated e-cigarettes as helpful for reducing/quitting cigarette use (both p<0.05). Conclusions: This study suggests that Massachusetts patients receiving MOUD with buprenorphine have concerns about the health harms of e-cigarettes yet rate them as helpful tools for reducing or quitting cigarette smoking. Future research is needed to test the efficacy of e-cigarettes for cigarette harm reduction.

Smoking and E-Cigarette Use Among U.S. Adults During the COVID-19 Pandemic.

INTRODUCTION: With concerns about tobacco use being a risk factor for severe disease from COVID-19, understanding nicotine- and tobacco-use patterns is important for preventive efforts. This study aims to understand changes in combustible cigarette and E-cigarette use among U.S. adults. METHODS: In August 2020, a cross-sectional survey of a nationally representative sample of adults aged ≥18 years in the National Opinion Research Center's AmeriSpeak Panel who reported past 6-month use of combustible cigarettes or E-cigarettes was conducted. Multivariable logistic regression assessed the factors associated with increased product use and quit attempts since hearing about COVID-19. RESULTS: A total of 1,024 past 6-month cigarette smokers/E-cigarette users were surveyed. Among cigarette smokers, 45% reported no change in cigarette smoking, and 33% reported increased cigarette smoking since hearing about COVID-19. Higher stress was associated with increased cigarette smoking. Among E-cigarette users, 41% reported no change in E-cigarette use, and 23% reported increasing E-cigarette use. A total of 26% of cigarette smokers and 41% of E-cigarette users tried to quit because of COVID-19. Higher perceived risk of COVID-19 was associated with attempts to quit combustible cigarettes (AOR=2.37, 95% CI=1.59, 3.55) and E-cigarettes (AOR=3.14, 95% CI=1.73, 5.70). CONCLUSIONS: Cigarette and E-cigarette use patterns varied in response to the COVID-19 pandemic. Most cigarette smokers and E-cigarette users perceived product use as increasing COVID-19‒related health risks, and this was associated with attempts to quit. Some cigarette smokers, especially those reporting higher stress, increased product use. Proactive provision of cessation support to smokers and E-cigarette users may help mitigate the stress-related increases in product use during the COVID-19 pandemic.

Interest in Electronic Cigarettes for Smoking Cessation Among Adults With Opioid Use Disorder in Buprenorphine Treatment: A Mixed-Methods Investigation.

INTRODUCTION: Individuals in treatment for opioid use disorder (OUD) have high smoking rates and limited success with Food and Drug Administration (FDA)-approved cessation aids, suggesting need for novel approaches. Electronic cigarettes (e-cigarettes) might benefit this population, but e-cigarettes' acceptability for tobacco reduction or cessation among smokers in OUD treatment is not known. METHODS: A cross-sectional mixed-methods study of 222 adults in OUD treatment with buprenorphine in the Boston, Massachusetts metropolitan area was conducted in 2020. We used quantitative and qualitative data to investigate individuals' experience with and interest in e-cigarettes and other methods for smoking cessation and assessed factors associated with interest in e-cigarette use. RESULTS: One hundred sixty (72%) of the 222 participants were past 30-day cigarette smokers. They most frequently reported having ever used nicotine replacement therapy (NRT; 83%) and e-cigarettes (71%) for smoking cessation and most often indicated interest in using NRT (71%) and e-cigarettes (44%) for future smoking cessation. In multiple logistic regression analysis, interest in using e-cigarettes for future smoking cessation was independently associated with having ever used e-cigarettes for smoking cessation, current e-cigarette use, and perceiving e-cigarettes to be less harmful than cigarettes (ps < .05). In qualitative data, many current vapers/former smokers reported that e-cigarettes had been helpful for quitting cigarettes. For current smokers who currently or formerly vaped, frequently reported challenges in switching to e-cigarettes were concerns about replacing one addiction with another and e-cigarettes not adequately substituting for cigarettes. CONCLUSIONS: E-cigarettes had a moderate level of acceptability for smoking cessation among cigarette smokers in OUD treatment. More research is warranted to test the efficacy of this approach. IMPLICATIONS: Individuals in treatment for opioid use disorder (OUD) have high smoking rates and limited success with existing smoking cessation tools, suggesting a need for novel cessation treatment approaches. In this mixed-methods study of individuals receiving medication treatment for OUD with buprenorphine in Massachusetts in 2020, we found a moderate level of acceptability of e-cigarettes for smoking cessation.

Examining the effects of problematic alcohol use on cigarette abstinence in recently diagnosed cancer patients enrolled in a cessation trial: A secondary analysis.

AIMS: Among people with cancer, dual alcohol and tobacco use increases risk for morbidity and mortality. Most smoking cessation clinical trials with this patient population have excluded individuals with problematic alcohol use. This investigation examined whether problematic alcohol use affects smoking cessation in cancer patients. METHODS: Mixed-methods secondary analysis of data from the Smokefree Support Study, a randomized-controlled trial examining the efficacy of Intensive (IT; n = 153) vs. Standard Treatment (ST; n = 150) for smoking cessation in newly diagnosed cancer patients. Problematic alcohol use was assessed at enrollment using the Cut-Down-Annoyed-Guilty-Eye-Opener (CAGE), weekly frequency of alcohol use and binge drinking measures. Alcohol use was categorized as: no current alcohol use, moderate and problematic use. The primary outcome was biochemically-confirmed cigarette abstinence at 6-months. A subset of patients (n = 72) completed qualitative exit-interviews. RESULTS: Among all participants, biochemically-confirmed cigarette abstinence rates were 25% (n = 32), 28% (n = 27), and 36% (n = 20) for participants reporting no current alcohol use, moderate use, and problematic use, respectively (p = 0.33). In logistic regression analysis, neither problematic alcohol use (AOR = 0.96, 95% CI = 0.35-2.67, p = .94) nor the problematic use by study arm interaction (AOR = 2.22, 95% CI = 0.59-8.39, p = .24) were associated with biochemically-confirmed 6-month abstinence. Qualitatively, participants reported that drinking alcohol triggers urges to smoke. CONCLUSION: Newly diagnosed cancer patients reporting problematic alcohol use were not less likely to quit smoking than those without. Additional research is needed to investigate whether problematic alcohol users may benefit from smoking and alcohol behavior change interventions at the time of cancer diagnosis.

Perceived risk, attitudes, and behavior of cigarette smokers and nicotine vapers receiving buprenorphine treatment for opioid use disorder during the COVID-19 pandemic.

BACKGROUND: Cigarette smoking may increase the risk of COVID-19 complications, reinforcing the urgency of smoking cessation in populations with high smoking prevalence such as individuals with opioid use disorder (OUD). Whether the COVID-19 pandemic has altered perceptions, motivation to quit, or tobacco use among cigarette smokers and nicotine e-cigarette vapers with OUD is unknown. METHODS: A telephone survey was conducted in March-July 2020 of current cigarette smokers or nicotine vapers with OUD who were stable on buprenorphine treatment at five Boston (MA) area community health centers. The survey assessed respondents' perceived risk of COVID-19 due to smoking or vaping, interest in quitting, quit attempts and change in tobacco consumption during the pandemic. RESULTS: 222/520 patients (43 %) completed the survey, and 145 were asked questions related to COVID-19. Of these, 61 % smoked cigarettes only, 13 % vaped nicotine only, and 26 % were dual users. Nearly 80 % of participants believed that smoking and vaping increased their risk of COVID-19 infection or complications. Smokers with this belief reported an increased interest in quitting (AOR 4.6, 95 % CI:1.7-12.4). Overall, 49 % of smokers and 42 % of vapers reported increased interest in quitting due to the pandemic; 24 % and 20 %, respectively, reported attempting to quit since the pandemic. However, 35 % of smokers and 27 % of vapers reported increasing smoking and vaping, respectively, during the pandemic. CONCLUSIONS: Most patients with OUD believed that smoking and vaping increased their vulnerability to COVID-19, half reported increased interest in quitting, but others reported increasing smoking and vaping during the COVID-19 pandemic.

Enhancing employer coverage of smoking cessation treatment: A randomized trial of the Partners in Helping You Quit (PiHQ) program.

The workplace is a key channel for delivering tobacco cessation treatment to a population. Employers can provide workplace-based programs and/or financial incentives such as health insurance benefits that cover the cost of treatment accessed outside the workplace. Little is known about the effect of combining these strategies. We tested the benefit of adding a workplace cessation program, Partners in Helping You Quit (PiHQ), to comprehensive health insurance coverage of smoking cessation medications by Partners HealthCare, a large Boston-based healthcare delivery system. PiHQ offers biweekly telephone-based behavioral support, additional automated calls, and medication care coordination for 3 months then monthly telephone monitoring for 9 months. In a pragmatic randomized trial, employees who smoked were informed about the insurance benefit, then randomly assigned (2:1) to PiHQ or to active referral to a free 3-month phone-based community program, Massachusetts Quitline (QL). Outcomes were assessed at 3, 6, and 12 months. During 2015-2018, 106 smokers (n = 73 PiHQ, n = 33 QL) enrolled (64% female; 75% white, 21% black; mean age 46 years, mean cigarettes/day = 13). More PiHQ than QL participants made a quit attempt by 3 months (82 vs. 61%, p < .02) and achieved the primary outcome, verified past 7-day cigarette abstinence at 6 months (31 vs. 12%, odds ratio 3.34, 95% CI, 1.05-10.60). Among participants using behavioral support, PiHQ participants completed more scheduled calls and rated counseling helpfulness higher than did QL participants. These results suggest that employers can enhance the impact of providing comprehensive health insurance coverage of smoking cessation medication by adding a phone-based worksite cessation program.

Correction to: Online Searches for Quitting Vaping During the 2019 Outbreak of E-cigarette or Vaping Product Use-Associated Lung Injury.

This paper was originally published with an incorrect title.

Patterns of cigarette, e-cigarette, and cannabis use among adult smokers in primary care 2014-2015.

BACKGROUND: Poly-use of tobacco, cannabis, and electronic cigarettes (e-cigarettes) is an emerging problem in the general population. The current study investigated poly-use of these products and receipt of smoking cessation counseling in a primary care setting. METHODS: We conducted a cross-sectional secondary data analysis from a trial of a tablet intervention to increase provider delivery of the 5As (Ask, Advise, Assess, Assist, Arrange follow-up), a brief counseling intervention for smoking cessation, in 3 diverse primary care clinics in San Francisco, CA from 2014 to 2015. Participants were currently smoking cigarettes (N = 601; mean age = 50.8; 38.1% female) and reported information on past 30-day cigarette and e-cigarette use and past 3-month cannabis use. We classified participants into 4 groups: (1) cigarette-only, (2) dual-use of cigarettes and e-cigarettes, (3) dual-use of cigarettes and cannabis, (4) poly-use of cigarettes, e-cigarettes, and cannabis, and examined correlates of use. RESULTS: Only cigarette smoking was reported by 48.6% of participants, 30.4% reported use of cigarettes and cannabis, 10.5% reported use of cigarettes and e-cigarettes, and 10.5% reported use of cigarettes, e-cigarettes, and cannabis. Cigarette-only smokers did not differ from other groups by cigarette smoking behavior and motivation to quit. Patients reporting dual-use of cigarettes and e-cigarettes had a higher likelihood of receiving the Arrange step and all 5As compared to cigarette-only smokers. CONCLUSIONS: Providers should screen for co-use of cigarettes and other nicotine/cannabis products and consider co-use when delivering smoking cessation treatment and evaluating treatment outcomes. Development of guidelines to help facilitate provider training is needed.

Electronic Cigarette Use and Cigarette Abstinence Over 2 Years Among U.S. Smokers in the Population Assessment of Tobacco and Health Study.

INTRODUCTION: Electronic cigarettes (e-cigarettes) could benefit public health if they help current smokers to stop smoking long term, but evidence that they do so is limited. We aimed to determine the association between e-cigarette use and subsequent smoking cessation in a nationally representative cohort of US smokers followed for 2 years. METHODS: We analyzed data from adult cigarette smokers in Waves 1 through 3 of the Population Assessment of Tobacco and Health study. The primary exposure was e-cigarette use at Wave 1. The primary outcome was prolonged cigarette abstinence, defined as past 30-day cigarette abstinence at Waves 2 and 3 (1- and 2-year follow-up). RESULTS: Among Wave 1 cigarette smokers, 3.6% were current daily e-cigarette users, 18% were current non-daily e-cigarette users, and 78% reported no current e-cigarette use. In multivariable-adjusted analyses, daily e-cigarette use at Wave 1 was associated with higher odds of prolonged cigarette smoking abstinence at Waves 2 and 3 compared to nonuse of e-cigarettes (11% vs. 6%, adjusted odds ratio [AOR] = 1.77, 95% confidence interval [CI] = 1.08 to 2.89). Non-daily e-cigarette use was not associated with prolonged cigarette smoking abstinence. Among Wave 1 daily e-cigarette users who were abstinent from cigarette smoking at Wave 3, 63% were using e-cigarettes at Wave 3. CONCLUSIONS: In this longitudinal cohort study of US adult cigarette smokers, daily but not non-daily e-cigarette use was associated with higher odds of prolonged cigarette smoking abstinence over 2 years, compared to no e-cigarette use. Daily use of e-cigarettes may help some smokers to stop smoking combustible cigarettes. IMPLICATIONS: In this nationally representative longitudinal cohort study of US adult cigarette smokers, daily e-cigarette use, compared to no e-cigarette use, was associated with a 77% increased odds of prolonged cigarette smoking abstinence over the subsequent 2 years. Regular use of e-cigarettes may help some smokers to stop smoking combustible cigarettes.

E-cigarettes and Smoking Cessation in Smokers With Chronic Conditions.

INTRODUCTION: Many smokers with chronic medical conditions use e-cigarettes. This study assessed the association between e-cigarette use and subsequent smoking-cessation efforts in adult smokers with and without chronic medical conditions. METHODS: This was a longitudinal cohort study of adult cigarette smokers using Waves 1 and 2 of the Population Assessment of Tobacco and Health Study (2013-2015), analyzed in 2018‒2019. The exposure was the initiation of e-cigarette use by Wave 2. The outcomes at Wave 2 were: (1) past 12-month attempts to quit, (2) cigarette abstinence, (3) ≥50% reduction in cigarette use, and (4) past 12-month use of evidence-based smoking-cessation treatment. RESULTS: E-cigarette use initiation was associated with increased odds of attempting to quit smoking at Wave 2 among smokers with any chronic medical condition (AOR=1.92, 95% CI=1.42, 2.59) and without chronic medical conditions (AOR=1.81, 95% CI=1.50, 2.18). E-cigarette use initiation was also significantly associated with Wave 2 smoking abstinence in smokers with (AOR=1.95, 95% CI=1.11, 3.43) and without chronic medical conditions (AOR=1.63, 95% CI=1.17, 2.28). CONCLUSIONS: At a population level, e-cigarette use by smokers with chronic medical conditions is associated with more quitting activity and smoking abstinence. Future studies are needed to assess e-cigarette safety and efficacy to determine whether they may provide an alternative smoking-cessation or harm-reduction strategy for adults with smoking-sensitive disease who cannot achieve these goals with other methods.

Proactive Population Health Strategy to Offer Tobacco Dependence Treatment to Smokers in a Primary Care Practice Network.

BACKGROUND: Population-based strategies can expand the reach of tobacco cessation treatment beyond clinical encounters. OBJECTIVE: To determine the effect of two population-based tobacco cessation strategies, compared with usual care, on providing tobacco treatment outside of clinical encounters. DESIGN: 3-arm pragmatic randomized controlled trial. PARTICIPANTS: Current smokers ≥ 18 years old with a primary care provider at one of five community health centers in Massachusetts were identified via the electronic health record (n = 5225) and recruited using automated phone calls. INTERVENTIONS: One intervention group involved engagement with a health system-based tobacco coach (internal care coordination), and the other connected patients to a national quitline (external community referral). MEASUREMENTS: Proportion of smokers with documentation of any evidence-based cessation treatment in the 6 months after enrollment. KEY RESULTS: Of 639 individuals who responded to the proactive treatment offer, 233 consented and were randomized 1:1:1 to study arm. At 6-month follow-up, the pooled intervention group, compared with usual care, had higher documentation of any smoking cessation treatment (63% vs. 34%, p < 0.001), cessation medication prescription (52% vs. 30%, p = 0.002), and counseling (47% vs. 9%, p < 0.001). Internal care coordination was more effective than external community referral at connecting smokers to any cessation treatment (76% vs. 50%, p = 0.001) and at providing cessation medication (66% vs. 39%, p < 0.001), but comparable at linking smokers to cessation counseling resources. CONCLUSIONS: Smokers responding to a population-based, proactive outreach strategy had better provision of tobacco cessation treatment when referred to either a health system-based or community-based program compared with usual care. The health system-based strategy outperformed the quitline-based one in several measures. Future work should aim to improve population reach and test the effect on smoking cessation rates. TRIAL REGISTRATION: ClinicalTrials.gov NCT03612895.

Cigarette Smoking and Quitting-Related Factors Among US Adult Health Center Patients with Serious Mental Illness.

INTRODUCTION: US adults with serious mental illness (SMI), compared to those without SMI, have a higher prevalence of smoking, which contributes to a shorter life expectancy. This study compared current smoking and quitting-related characteristics of low-income US adults with and without SMI who received healthcare at federally funded health centers. METHODS: Using cross-sectional data from adults ≥ 18 years old in the nationally representative 2014 Health Center Patient Survey (n = 5592), we compared the prevalence of ever and current smoking among adults with and without SMI and calculated quit ratios as the percentage of ever smokers who have quit smoking. We examined the association between SMI and receiving advice to quit, making quit attempts, and having plans to quit in the next 30 days using multivariable logistic regression. RESULTS: A total of 1376 (23%) of participants had SMI. Ever smoking prevalence was 68% in adults with SMI and 41% in adults without SMI, and current smoking prevalence was 48% and 22%, respectively. The quit ratio was 30% and 46% among participants with and without SMI, respectively. Compared to smokers without SMI, more smokers with SMI reported receiving advice to quit in the past 12 months (aOR 2.47, 95% CI 1.20-5.07). Smokers with and without SMI did not differ significantly in their odds of having made a past-12-month quit attempt or plans to quit. CONCLUSIONS: Smokers with SMI seen in federally funded health centers were just as likely to have made a quit attempt and to have plans to quit as smokers without SMI. Despite a higher likelihood of receiving clinician advice to quit, the lower quit ratio in this population suggests that advice alone is unlikely to be sufficient. These results underscore the need for augmented strategies to promote smoking cessation and reduce the excess burden of tobacco-related disease in patients with SMI.

Reprint of: Prevention and Treatment of Tobacco Use: JACC Health Promotion Series.

Tobacco use is the leading preventable cause of death worldwide and is a major risk factor for cardiovascular disease (CVD). Both prevention of smoking initiation among youth and smoking cessation among established smokers are key for reducing smoking prevalence and the associated negative health consequences. Proven tobacco cessation treatment includes pharmacotherapy and behavioral support, which are most effective when provided together. First-line medications (varenicline, bupropion, and nicotine replacement) are effective and safe for patients with CVD. Clinicians who care for patients with CVD should give as high a priority to treating tobacco use as to managing other CVD risk factors. Broader tobacco control efforts to raise tobacco taxes, adopt smoke-free laws, conduct mass media campaigns, and restrict tobacco marketing enhance clinicians' actions working with individual smokers.

Prevention and Treatment of Tobacco Use: JACC Health Promotion Series.

Tobacco use is the leading preventable cause of death worldwide and is a major risk factor for cardiovascular disease (CVD). Both prevention of smoking initiation among youth and smoking cessation among established smokers are key for reducing smoking prevalence and the associated negative health consequences. Proven tobacco cessation treatment includes pharmacotherapy and behavioral support, which are most effective when provided together. First-line medications (varenicline, bupropion, and nicotine replacement) are effective and safe for patients with CVD. Clinicians who care for patients with CVD should give as high a priority to treating tobacco use as to managing other CVD risk factors. Broader tobacco control efforts to raise tobacco taxes, adopt smoke-free laws, conduct mass media campaigns, and restrict tobacco marketing enhance clinicians' actions working with individual smokers.

Computer-Facilitated 5A's for Smoking Cessation: A Randomized Trial of Technology to Promote Provider Adherence.

INTRODUCTION: Although evidence-based, the 5A's (Ask, Advise, Assess, Assist, and Arrange) for smoking cessation are often incompletely delivered by primary care providers. This study examines whether a computer tablet 5A's intervention improves primary care provider adherence to the 5A's. STUDY DESIGN: Cluster RCT. SETTING/PARTICIPANTS: All primary care providers in three urban, adult primary care clinics were randomized for participation. Any English- or Spanish-speaking patient with a primary care appointment who had smoked >100 lifetime cigarettes and at least one cigarette in the past week was eligible. INTERVENTION: A cluster RCT comparing computer-facilitated 5A's with usual care assessed effects on provider adherence to each of the 5A's as determined by patient report. Intervention subjects used a computer tablet to complete the 5A's immediately before a primary care appointment. A tailored, patient handout and a structured, clinician guide were generated. Data were collected in 2014-2015 and analyzed in 2016-2017. MAIN OUTCOME MEASURES: Provider adherence to the 5A's. RESULTS: Providers (N=221) saw 961 patients (n=412 intervention, n=549 control) for a total of n=1,340 encounters with n=1,011 completed post-visit interviews (75.4% completion). Intervention providers had significantly higher odds of completing Assess (AOR=1.32, 95% CI=1.02, 1.73) and Assist (AOR=1.45, 95% CI=1.08, 1.94). When looking at first study visits only, intervention providers had higher odds for Arrange (AOR=1.72, 95% CI=1.23, 2.40) and all 5A's (AOR=2.04, 95% CI=1.35, 3.07) but study visit did not influence receipt of the other 5A's. CONCLUSIONS: A computer-facilitated 5A's delivery model was effective in improving the fidelity of provider-delivered 5A's to diverse primary care patients. This relatively low-cost, time-saving intervention has great potential for smoking cessation and other health behaviors. Future studies should identify ways to promote and sustain technology implementation. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT02046408.