Impact of Quitline Services on Tobacco Cessation: An Application of Modern Epidemiological Methods.

This study investigated the effectiveness of quitline service intensity (high vs. low) on past 30-day tobacco abstinence at 7-months follow-up, using observational data from the Oklahoma Tobacco Helpline (OTH) between April 2020 and December 2021. To assess the impact of loss to follow-up and non-random treatment assignment, we fit the parameters of a marginal structural model to estimate inverse probability weights for censoring (IPCW) and treatment (IPTW) and combined (IPCTW). The Risk Ratio (RR) was estimated using modified Poisson regression with robust variance estimator. Of the 4,695 individuals included in the study, 64% received high-intensity cessation services, and 53% were lost to follow-up. Using the conventional complete case analysis (responders only), high-intensity cessation services were associated with abstinence (RR=1.18; 95 CI: 1.04, 1.34). The effect estimate was attenuated after accounting for censoring (RR=1.14; 95% CI: 1.00, 1.30). After adjusting for both baseline confounding and selection bias via IPTCW, high-intensity cessation services were associated with 1.23 times (95% CI: 1.08, 1.41) the probability of abstinence compared to low-intensity services. Despite relatively high loss to follow-up, accounting for selection bias and confounding did not notably impact quit rates or the relationship between intensity of quitline services and tobacco cessation among OTH participants.

The Long-Term Impact of the Tips From Former Smokers® Campaign on Calls to 1-800-QUIT-NOW, 2012-2023.

INTRODUCTION: There is substantial evidence that mass media campaigns increase calls to quitlines and smoking cessation. In 2012, the Centers for Disease Control and Prevention launched the first federally funded national tobacco education campaign, Tips From Former Smokers® (i.e. Tips), which has since aired television advertisements annually. To date, no studies have examined the long-term effect of a national smoking cessation campaign on quitline calls. This study examined the long-term impact of Tips television ads on calls to 1-800-QUIT-NOW from 2012 through 2023. METHODS: Exposure to the Tips campaign was measured using weekly television gross rating points (GRPs) in each U.S. designated market area. We obtained data on calls to 1-800-QUIT-NOW from the National Cancer Institute and used linear regression to model calls to 1-800-QUIT-NOW, from 2012 through 2023, as a function of weekly media market-level GRPs for Tips television ads. Using the regression model results, we calculated predicted values of calls to 1-800-QUIT-NOW across observed GRP values to determine the total additional calls to 1-800-QUIT-NOW that were attributable to the Tips campaign during 2012-2023. RESULTS: Tips GRPs were positively and significantly associated with calls to 1-800-QUIT-NOW across all years (b = 39.94, p < 0.001). Based on this association, we estimate the Tips campaign generated nearly 2.1 million additional calls to 1-800-QUIT-NOW during 2012-2023. CONCLUSIONS: Exposure to the Tips campaign has consistently and significantly increased calls to tobacco quitlines. IMPLICATIONS: Quitlines provide evidence-based support to help people quit smoking. They have been shown to increase the likelihood of successfully quitting. Mass media campaigns have promoted quitline services, and quitline calls have increased significantly with media promotion. The long-term effect of campaigns - like the Centers for Disease Control and Prevention's Tips From Former Smokers® (i.e. Tips) - on quitline calls has not been determined. From 2012 through 2023, exposure to the Tips campaign is estimated to have generated nearly 2.1 million additional calls to 1-800-QUIT-NOW. This study supports continued use of mass media to promote quitlines.

Testing a Brief Quitline Intervention for Tobacco Cannabis Co-Users: A Randomized Controlled Pilot Study.

Background: Tobacco cannabis co-use is common and becoming more prevalent. Frequent and heavy users of cannabis may struggle to quit smoking. Quitlines offer free cessation treatment in the United States and 25% of quitline callers may also be cannabis users. The present paper describes a randomized pilot study of a tailored intervention for cannabis and cigarette co-users. The intervention combines the quitline smoking cessation treatment with a motivational enhancement therapy-based cannabis intervention. Methods: The randomized pilot study was conducted within four state-funded quitlines with quitline coaches as interventionists. 102 quitline callers who were cannabis and cigarette co-users were randomized to receive treatment as usual (TAU) or the new Quitline Check-Up (QLCU) intervention. Outcomes were collected 90 days post-randomization. Primary outcomes included feasibility and acceptability of delivering the QLCU in the quitline setting. Secondary outcomes included 7-day point prevalence tobacco abstinence, past 30-day cannabis use, and Cannabis Use Disorder Identification Test scores. Results: Study participants were heavy cannabis users, averaging 25 days of use in the past 30; nearly 70% used at a level considered hazardous. Fidelity ratings indicated coaches were successful at delivering the intervention. Treatment engagement was high for both groups (TAU m = 3.4 calls; QLCU m = 3.6 calls) as was treatment satisfaction. Intent-to-treat quit rates (with survey non-responders classified as smokers) were 28.6% for the TAU control group and 24.5% for the QLCU group (P = .45). Discussion: Hazardous cannabis use rates were high in this sample of tobacco cannabis co-users calling quitlines to quit smoking. The intervention for co-users was acceptable and feasible to deliver. No improvements in tobacco cessation outcomes were observed. Pragmatic intervention development within a real-world clinical setting can streamline the intervention development process. More research is needed on tobacco cannabis co-users and who can benefit from a tailored intervention. Registered: ClinicalTrials.gov NCT04737772, February 4, 2021.

Peer Texting to Promote Quitline Use and Smoking Cessation Among Rural Participants in Vietnam: Randomized Clinical Trial.

Objectives: We tested an adapted version of an effective U.S.-based peer-texting intervention to promote Quitline use and smoking cessation among rural participants in Vietnam. Methods: We conducted a two-arm randomized trial with participants recruited at four rural community centers. The intervention included peer messages sent for six months that promoted Quitline use and smoking cessation. Additionally, biweekly two-way text messages assessed participants' interest in Quitline referral and current smoking status. Comparison participants received only the bi-weekly text message assessment of their current smoking status. At six months, we assessed Quitline use and smoking cessation. Smoking cessation was assessed using the 7-day point prevalence question and verified with a carbon monoxide breath monitor (<=6 ppm). Results: Among 750 participants, the intervention had higher Quitline verified use (18%, 95% CI 0.14, 0.22) than comparison (1%, 95% CI .2, 2, p < 0.0001). Carbon-monoxide-verified smoking cessation did not differ between the two groups. However, intervention (28.3%, 95% CI) and comparison (28.1%, 95% CI) participants had substantial rates of carbon monoxide cessation at 6 months (both 28%). Conclusion: Our study highlighted the promise of texting interventions to extend tobacco control efforts in Vietnam.

A Systematic Review Evaluating Disparities in State-Run Quitline Utilization and Effectiveness in the U.S.

Context: Cigarette smoking is a public health problem in the U.S. and is marked by pervasive sociodemographic disparities. State-run quitlines may offer greater access to cessation services that could in turn help to reduce smoking disparities. The aim of this review was to synthesize the body of literature regarding sociodemographic disparities in the utilization and effectiveness of state-run quitlines. Evidence acquisition: The PRISMA guidelines were followed in conducting this review. Included articles were published between January 1, 1992 and May 28, 2019 and sourced from PubMed and Web of Science. Studies that evaluated state-run quitline utilization or effectiveness (cessation) by sex, race/ethnicity, sexual or gender identity, or SES (income, education, insurance) were included. Evidence synthesis: Our search yielded 2,091 unique articles, 17 of which met the criteria for inclusion. This review found that quitline utilization was higher among Black and Asian/Pacific Islander individuals than among White individuals and among people with lower income and lower education than among people with higher income and higher education. Quitline use was associated with less smoking cessation among females than among males, among American Indian/Alaskan Native individuals than among individuals from all other races and ethnicities, and among individuals of lower than among those of higher income and education. Conclusions: This review found that although communities disproportionately affected by smoking utilize quitlines more commonly than their White and more affluent peers, disparities in cessation persist for American Indian/Alaskan Native and individuals from lower SES groups who use quitlines.

Helping low-income smokers quit: findings from a randomized controlled trial comparing specialized quitline services with and without social needs navigation.

Background: Quitting smoking is especially challenging for low-income smokers due to high stress, high smoking prevalence around them, and limited support for quitting. This study aimed to determine whether any of three interventions designed specifically for low-income smokers would be more effective than standard tobacco quitline services: a specialized quitline, the specialized quitline with social needs navigation, or the standard quitline with social needs navigation. Methods: Using a randomized 2 × 2 factorial design, low-income daily cigarette smokers (n = 1944) in Missouri, USA who called a helpline seeking assistance with food, rent or other social needs were assigned to receive Standard Quitline alone (n = 485), Standard Quitline + Social Needs Navigation (n = 484), Specialized Quitline alone (n = 485), or Specialized Quitline + Social Needs Navigation (n = 490). The target sample size was 2000, 500 per group. The main outcome was 7-day self-reported point prevalence abstinence at 6-month follow-up. Multiple imputation was used to impute outcomes for those missing data at 6-month follow-up. Binary logistic regression analyses were used to assess differences between study groups. Findings: Participants were recruited from June 2017 to November 2020; most were African American (1111 [58%]) or White (666 [35%]), female (1396 [72%]), and reported <$10,000 (957 [51%]) or <$20,000 (1529 [82%]) annual pre-tax household income. At 6-month follow-up (58% retention), 101 participants in the Standard Quitline group reported 7-day point prevalence abstinence (20.8% of those assigned at baseline, 38.1% after imputation). Quit rates in the Specialized Quitline (90 quitters, 18.6%, 38.1%) and Specialized Quitline + Social Needs Navigation (103 quitters, 21.0%, 39.8%) were not different from the Standard Quitline. Quit rates for Standard Quitline + Social Needs Navigation (74 quitters, 15.3%, 30.1%) were significantly lower than Standard Quitline (OR = 0.70, 95% CI = 0.50-0.98). Interpretation: A specialized version of a state tobacco quitline was no more effective than standard quitline services in helping low-income smokers quit. Adding social needs navigation to a standard quitline decreased its effectiveness. Trial registration: ClinicalTrials.gov Identifier: NCT03194958. Funding: National Cancer Institute: R01CA201429.

Treatment development, implementation, and participant baseline characteristics: A randomized pilot study of a tailored quitline intervention for individuals who smoke and vape.

BACKGROUND: Approximately 57,000 dual users of cigarettes and e-cigarettes call state tobacco quitlines in the U.S. each year. METHODS: This paper describes a behavioral intervention for dual users of cigarettes and e-cigarettes designed to increase cigarette abstinence. It also presents baseline data from a randomized pilot comparing the Enhanced E-cigarette Coaching (EEC) intervention with quitline treatment as usual (TAU). Oklahoma Tobacco Helpline callers were recruited at registration and randomized to EEC (n = 46) or TAU (n = 50). Treatment included 5 coaching calls and free nicotine replacement therapy (NRT). EEC treatment included enhanced e-cigarette assessment, education, a shared decision-making quit plan development approach, and tailored behavioral support. RESULTS: Participants averaged 40.6 years of age and 19.2 cigarettes per day; 85% smoked daily, 48% vaped daily, and 53% reported medium to high e-cigarette dependence. Most reported using e-cigarettes to quit (43%) or to cut down (26%) on smoking. Most had previously tried to quit smoking (91%) and had tried FDA-approved cessation medications (79%). Beliefs about vaping, NRT, and smoking included misinformation. After discussing the relative risks of NRT, vaping, and smoking, most EEC participants (89%) selected a quit plan that incorporated both NRT and vaping. CONCLUSIONS: At baseline, most participants reported a history of failed quit attempts with NRT and were vaping to quit or cut down on smoking, but they may need more support to completely quit smoking. If the EEC improves smoking outcomes, it would provide needed guidance on behavioral support best practices for individuals who vape and want to quit smoking.

The Association between Quitline Characteristics and Smoking Cessation by Educational Attainment, Income, Race/Ethnicity, and Sex.

Little research examines how tobacco quitlines affect disparities in smoking cessation in the United States. Our study utilized data from the Tobacco Use Supplement to the Current Population Survey (2010, 2011, 2012, 2015, 2018) (TUS-CPS) and state-level quitline data from the North American Quitline Consortium and National Quitline Data Warehouse. We ran multilevel logistic regression models assessing a state-run quitline's budget, reach, number of counseling sessions offered per caller, and hours of operation on 90-day smoking cessation. Multiplicative interactions between all exposures and sex, race/ethnicity, income, and education were tested to understand potential effect modification. We found no evidence that budget, reach, number of counseling sessions, or hours available for counseling were associated with cessation in the main effects analyses. However, when looking at effect modification by sex, we found that higher budgets were associated with greater cessation in males relative to females. Further, higher budgets and offering more sessions had a stronger association with cessation among individuals with lower education, while available counseling hours were more strongly associated with cessation among those with higher education. No quitline characteristics examined were associated with smoking cessation. We found evidence for effect modification by sex and education. Despite proven efficacy at the individual-level, current resource allocation to quitlines may not be sufficient to improve rates of cessation.

Developing a Guided Imagery Telephone-Based Tobacco Cessation Program for a Randomized Controlled Trial.

BACKGROUND/AIMS: Guided imagery is an evidence-based, multi-sensory, cognitive process that can be used to increase motivation and achieve a desired behavior. Quitlines are effective, standard care approaches for tobacco cessation; however, utilization of quitlines is low. Using guided imagery-based interventions for smoking cessation may appeal to smokers who do not utilize traditional quitline services. This paper reports the development of program materials for a randomized controlled feasibility trial of a guided imagery-based smoking cessation intervention. The objective of the formative work was to ensure that program materials are inclusive of groups that are less likely to use quitlines, including men and racial/ethnic minority tobacco users. METHODS: A three-phase process was used to complete formative assessment: (1) integration of evidence-based cessation practices into program development; (2) iterative small group interviews (N = 46) to modify the program; and (3) pilot-testing the coaching protocol and study process among a small sample of smokers (N = 5). RESULTS: The Community Advisory Board and project consultants offered input on program content and study recruitment based on their knowledge of minority communities with whom they conduct outreach. Small group interview participants included members of underserved quitline populations (52.37% non-white; 55.56% men). Only 28.26% of participants had prior experience with guided imagery, but others described the use of similar mindfulness and meditation practices. Participant feedback was incorporated into program materials and protocols. DISCUSSION: Iteratively collected feedback and pilot testing influenced program content and delivery and informed study processes for a randomized controlled feasibility trial of a telephone-delivered, guided imagery-based intervention.

Quitting the quitline: a qualitative study of patient experience of electronic referrals to quitlines.

BACKGROUND: The use of electronic referrals (eReferrals) to state quitlines (QLs) for tobacco-using patients is a promising approach for addressing smoking cessation on a large scale. However, QL contact, enrollment, and completion rates are low. The purpose of this study was to examine the eReferral to QL process from the patient's perspective in order to inform strategies for improving QL engagement. METHODS: We conducted interviews with 55 patients who agreed to an eReferral at a primary care visit to 1 of 8 safety-net community health centers in Cuyahoga County, Ohio (September 2017-August 2018). Interviews were designed to explore the experiences of three subgroups of patients who subsequently: 1) declined participation in the QL; 2) were unreachable by the QL; or 3) were enrolled in or had completed the QL program. Analysis was guided by a phenomenological approach designed to identify emergent themes. RESULTS: Reasons for QL program non-completion included changing life circumstances and events making cessation unviable; misunderstandings about the QL; discomfort with telephonic counseling; perceived lack of time for counseling; cell phone barriers; and having already quit smoking. We found that some individuals who were no longer engaged with the QL still desired continued support from the QL. CONCLUSIONS: Participants intentionally and unintentionally disengage from the QL for a wide variety of reasons, several of which are mediated by low socioeconomic status. Integrating QL care with community-based resources that address these mediators could be a promising strategy.

Predictors of Tobacco Cessation Among American Indian/Alaska Native Adults Enrolled in a State Quitline.

Background: High rates of smoking are documented among some American Indian and Alaska Native (AI/AN) communities, with potential variability by region and urban/rural settings. Quitlines are a cost-effective strategy for providing evidence-based cessation treatment, but little is known about the effectiveness of quitline services for the AI/AN population. Objectives: This study compared demographic characteristics, tobacco use, and cessation and program utilization behaviors between AI/AN (n = 297) and Non-Hispanic White (NHW; n = 13,497) quitline callers. The study also identified predictors of 30-day cessation at 7-month follow-up among AI/AN callers and determined if predictors were different between AI/AN and NHW callers. Methods: Data from callers to the Arizona Smokers' Helpline between January 2011 and June 2016 were analyzed. Results: At enrollment, AI/AN callers were less likely to use tobacco daily and were less dependent on nicotine compared to NHW callers. Both groups reported similar rates of 30-day cessation at 7-month follow-up (37.3% and 39.7% for AI/AN and NHW callers, respectively). For AI/AN callers, 30-day cessation was significantly associated with tobacco cessation medication use (OR = 2.24, 95% CI: 1.02-4.93), number of coaching sessions (OR = 1.14, 95% CI: 1.04-1.26), and other smokers in the home (OR = 0.41, 95% CI: 0.19-0.91). The effect of other smokers in the home was significantly different between AI/AN and NHW callers (p = .007). Conclusions: Different individual characteristics and predictors of cessation among AI/AN callers compared to NHW callers were documented. Findings may be used to inform the development of culturally-tailored strategies and protocols for AI/AN quitline callers.

The Potential Impact of the New York State Smokers' Quitline on Population-Level Smoking Rates in New York.

Receiving smoking cessation services from telephone quitlines significantly increases quit success compared with no intervention or other quitting methods. To affect population-level smoking, quitlines must provide a sufficient proportion of smokers with effective interventions. Nationally, quitlines reach around 1% of adult smokers annually. From 2011 through 2016, the average annual reach of the New York State Smokers' Quitline (NYSSQL) was 2.9%. We used data on the reach and cessation outcomes of NYSSQL to estimate its current impact on population-level smoking prevalence and to estimate how much reach would have to increase to achieve population-level smoking prevalence reductions. We estimate NYSSQL is associated with a 0.02 to 0.04 percentage point reduction in smoking prevalence in New York annually. If NYSSQL achieved the recommended annual reach of 8% (CDC Best Practices) and 16% (NAQC), state-level prevalence would decrease by an estimated 0.07-0.12 and 0.13-0.24 percentage points per year, respectively. To achieve those recommended levels of reach, NYSSQL would need to provide services to approximately 3.5 to 6.9 times more smokers annually. Given their reach, quitlines are limited in their ability to affect population-level smoking. Increasing quitline reach may not be feasible and would likely be cost-prohibitive. It may be necessary to re-think the role of quitlines in tobacco control efforts. In New York, the quitline is being integrated into larger efforts to promote cessation through health systems change.

Prevalence and predictors of quitline enrollment following hospital referral in real-world clinical practice.

Tobacco quitlines are effective, and work best for callers who receive three or more counseling sessions. Clinical settings are adopting quitline referral as a method for providing cessation support but little is known regarding enrollment and engagement following these referrals. We used data from quitline fax-back reports to describe enrollment and treatment engagement of 878 hospitalized patients who smoke who were referred via secure email to quitline at discharge. We compared patient demographics, tobacco characteristics, and treatment engagement between those enrolled and not enrolled. We conducted chi-square and t-tests to determine which variables should be included in a logistic regression to determine predictors of quitline enrollment. We did not receive fax-back reports for 25% (n = 221) of referred patients; these were excluded from all but the intent-to-treat analysis. Among patients for whom we received reports, 20.4% enrolled and accepted at least one service from the quitline. Among the 79.6% (n = 523) of patients who smoke not enrolled, most (78.3%; n = 410) were classified by the quitline as unreachable. Age (p = .006), smoking within 30 min of waking (p = .005), and interest in quitting (p = .008) were significant predictors of quitline enrollment. Using an intent to treat analysis, 11.4% (n = 100) of all referred patients were enrolled and accepted a single or multi-call programs; 4.2% (n = 37) of all referred patients enrolled and accepted a multi-call counseling program. Quitlines are a pillar of U.S. tobacco treatment. For quitlines to fulfill their potential, quitlines and hospitals must identify effective strategies for reaching and treating referred patients who smoke. Quitlines are effective and are readily available to many in advanced economy countries. Treatment engagement appears to be a barrier to quitline participation as we found few patients who were referred to the quitline actually enrolled in care. Quitlines should consider adopting alternative methods for reaching patients who smoke. Future research is warranted to determine effective solutions to breakdowns in transitions of care.

Culturally-tailored text-messaging intervention for smoking cessation in rural American Indian communities: Rationale, design, and methods.

BACKGROUND: American Indian (AI) and Alaska Native (AN) communities experience disproportionately high rates of tobacco use when compared to the overall U.S. population, especially among rural populations. METHODS: We implemented a single-blind, randomized clinical trial of a text messaging-based smoking cessation intervention through the tobacco quitlines of five states (Alaska, Minnesota, New Mexico, Oklahoma, and Wisconsin) with high percentages of AI residents. We partnered with state quitlines and Optum, a multi-state entity that manages quitlines. Participants who called the quitlines and identified as AI/AN were given the option to enroll in this trial. Upon consent, they were randomly assigned to either the standard quitline program (control) or a program culturally tailored for AI/ANs (intervention), which used a text messaging intervention to encourage smoking cessation. We adapted the text messages based on key informant and focus group input. Baseline data was analyzed for differences across age, sex, and the Fagerström Test for Nicotine Dependence. RESULTS: We recruited n = 487 AIs into the trial. Participants had an average age of 41.9 years (SD = 11.7) and 66% were female. The average Fagerström Test for Nicotine Dependence score was 5.38 (SD = 2.37). The intervention and control arms did not significantly differ across any of the baseline characteristics. CONCLUSION: Implementation of this trial illustrated important lessons in adapting, implementing, and evaluating trials in collaboration with AI communities and local and national organizations. This work will inform future efforts to implement culturally-tailored interventions with AI/ANs and advance our knowledge about adapting and implementing smoking cessation interventions.

Effectiveness of a telephone-based intervention for smoking cessation in patients with severe mental disorders: study protocol for a randomized controlled trial.

BACKGROUND: Up to 75% of inpatients with mental disorders smoke, and their life expectancy is decreased by up to 25 years compared to the general population. Hospitalized patients without monitoring after discharge quickly return to prehospitalization levels of tobacco use. The aim of the 061 QuitMental study is to assess the effectiveness of a multicomponent and motivational telephone-based intervention to stop smoking through a quitline addressed to smokers discharged from mental health hospital wards. METHODS: A pragmatic randomized controlled trial, single blinded, will include 2:1 allocation to the intervention group (IG) and the control group (CG). The IG will receive telephone assistance to quit smoking (including psychological and psychoeducational support, and pharmacological treatment advice if required) proactively for 12 months, and the CG will receive only brief advice after discharge. The sample size, calculated with an expected difference of 15 points on smoking abstinence between groups (IG, 20% and CG, 5%), α = 0.05, ß = 0.10, and 20% loss, will be 334 participants (IG) and 176 participants (CG). Participants are adult smokers discharged from psychiatric units of five acute hospitals. Measurements include dependent variables (self-reported 7-day point prevalence smoking abstinence (carbon monoxide verified), duration of abstinence, number of quit attempts, motivation, and self-efficacy to quit) and independent variables (age, sex, and psychiatric diagnoses). In data analysis, IG and CG data will be compared at 48 h and 1, 6, and 12 months post discharge. Multivariate logistic regression (odds ratio; 95% confidence interval) of dependent variables adjusted for potential confounding variables will be performed. The number needed to treat to achieve one abstinence outcome will be calculated. We will compare the abstinence rate of enrolled patients between groups. DISCUSSION: This trial evaluates an innovative format of a quitline for smokers with severe mental disorders regardless of their motivation to quit. If effective, the pragmatic nature of the study will permit transfer to routine clinical practice in the National Health System. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03230955 . Registered on 24 July 2017.

Predictors of engagement in post-discharge quitline counseling among hospitalized smokers.

Quitlines provide evidence-based tobacco treatment and multiple calls yield higher quit rates. This study aimed to identify subgroups of smokers with greater quitline engagement following referral during hospitalization. Data were from a randomized clinical trial assessing the effectiveness of fax referral (referral faxed to proactive quitline) versus warm handoff (patient connected to quitline at bedside) (n = 1054). Classification and regression trees analyses evaluated individual and treatment/health system-related variables and their interactions. Among all participants, warm handoff, higher ratings of the tobacco treatment care transition, and being older predicted completing more quitline calls. Among patients enrolled in the quitline, higher transition of care ratings, being older, and use of cessation medication post-discharge predicted completing more calls. Three of the four factors influencing engagement were characteristics of treatment within the hospital (quality of tobacco treatment care transition and referral method) and therapy (use of cessation medications), suggesting potential targets to increase quitline engagement post-discharge.

Simultaneous vs. sequential treatment for smoking and weight management in tobacco quitlines: 6 and 12 month outcomes from a randomized trial.

BACKGROUND: Smoking cessation often results in weight gain which discourages many smokers from quitting and can increase health risks. Treatments to reduce cessation-related weight gain have been tested in highly controlled trials of in-person treatment, but have never been tested in a real-world setting, which has inhibited dissemination. METHODS: The Best Quit Study (BQS) is a replication and "real world" translation using telephone delivery of a prior in-person efficacy trial. DESIGN: randomized control trial in a quitline setting. Eligible smokers (n = 2540) were randomized to the standard 5-call quitline intervention or quitline plus simultaneous or sequential weight management. Regression analyses tested effectiveness of treatments on self-reported smoking abstinence and weight change at 6 and 12 months. RESULTS: Study enrollees were from 10 commercial employer groups and three state quitlines. Participants were between ages 18-72, 65.8% female, 68.2% white; 23.0% Medicaid-insured, and 76.3% overweight/obese. The follow-up response rate was lower in the simultaneous group than the control group at 6 months (p = 0.01). While a completers analysis of 30-day point prevalence abstinence detected no differences among groups at 6 or 12 months, multiply imputed abstinence showed quit rate differences at 6 months for:simultaneous (40.3%) vs. sequential (48.3%), p = 0.034 and simultaneous vs. control (44.9%), p = 0.043. At 12 months, multiply imputed abstinence, was significantly lower for the simultaneous group (40.7%) vs. control (46.0%), p < 0.05 and vs. sequential (46.3%), p < 0.05. Weight gain at 6 and 12 months was minimal and not different among treatment groups. The sequential group completed fewer total calls (3.75) vs. control (4.16) and vs. simultaneous group (3.83), p = 0.01, and fewer weight calls (0.94) than simultaneous (2.33), p < 0.0001. The number of calls completed predicted 30-day abstinence, p < 0.001, but not weight outcomes. DISCUSSION: This study offers a model for evaluating population-level public health interventions conducted in partnership with tobacco quitlines. CONCLUSIONS: Simultaneous (vs. sequential) delivery of phone/web weight management with cessation treatment in the quitline setting may adversely affect quit rate. Neither a simultaneous nor sequential approach to addressing weight produced any benefit on suppressing weight gain. This study highlights the need and the challenges of testing intensive interventions in real-world settings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01867983 . Registered: May 30, 2013.

Comparing the New York State Smokers' Quitline Reach, Services Offered, and Quit Outcomes to 44 Other State Quitlines, 2010 to 2015.

PURPOSE: To summarize the reach, services offered, and cessation outcomes of the New York Quitline and compare with other state quitlines. DESIGN: Descriptive study. SETTING: Forty-five US states. PARTICIPANTS: State-sponsored tobacco cessation quitlines in 45 US states that provided complete data to the Centers for Disease Control and Prevention's National Quitline Data Warehouse (NQDW) for 24 quarters over 6 years (2010-Q1 through 2015-Q4). INTERVENTION: Telephone quitlines that offer tobacco use cessation services, including counseling, self-help materials, and nicotine replacement therapy (NRT), to smokers at no cost to them. MEASURES: Percentage of adult tobacco users in the state who received counseling and/or free NRT from state quitlines (reach), services offered by state quitlines, and cessation outcomes among quitline clients 7 months after using quitline services. ANALYSIS: Reach, services offered, and cessation outcomes for the New York Quitline were compared with similar measures for the other 44 state quitlines with complete NQDW data for all quarters from 2010 through 2015. RESULTS: New York's average annual quitline reach from 2010 through 2015 was 3.0% per year compared to 1.1% per year for the other 44 states examined. CONCLUSION: Although the New York Quitline was open fewer hours per week and offered fewer counseling sessions and a smaller amount of free NRT than most of the other 44 state quitlines, the New York Quitline had similar quit rates to most of those state quitlines.

Impact of a Temporary NRT Enhancement in a State Quitline and Web-Based Program.

PURPOSE: To examine the impact of a nicotine replacement therapy (NRT) enhancement on quit outcomes. DESIGN: Observational study using an intent to treat as treated analysis. SETTING: Not available. PARTICIPANTS: A total of 4022 Idaho tobacco users aged ≥18 years who received services from the Idaho Tobacco Quitline or Idaho's web-based program. INTERVENTION: One-call phone or web-based participants were sent a single 4- or 8-week NRT shipment. Multiple-call participants were sent NRT in a single 4-week shipment or two 4-week shipments (second shipment sent only to those completing a second coaching call). MEASURES: North American Quitline Consortium recommended Minimal Data Set items collected at registration and follow-up. Thirty-day point prevalence quit rates were assessed at 7-month follow-up. ANALYSIS: Multiple logistic regression models were used to examine the effects of program type and amount of NRT sent to participants while controlling for demographic and tobacco use characteristics. RESULTS: Abstinence rates were significantly higher among 8-week versus 4-week NRT recipients (42.5% vs 33.3%). The effect was only significant between multiple-call program participants who received both 4-week NRT shipments versus only the first of 2 possible 4-week shipments (51.1% vs 31.1%). Costs per quit were lowest among web-based participants who received 4 weeks of NRT (US$183 per quit) and highest among multiple-call participants who received only 1 of 2 possible NRT shipments (US$557 per quit). CONCLUSION: To better balance cost with clinical effectiveness, funders of state-based tobacco cessation services may want to consider (1) allowing tobacco users to choose between phone- and web-based programs while (2) limiting longer NRT benefits only to multiple-call program participants.

E-cigarette use among treatment-seeking smokers: Moderation of abstinence by use frequency.

INTRODUCTION: Emerging literature suggests that frequency of use of electronic cigarettes (e-cigarettes) may be an important moderating variable in the relationship between e-cigarette use and smoking cessation. However, few studies have focused specifically on treatment-seekers, a group that may differ in important ways from smokers in the general population. This study looks at the relationship between e-cigarette use frequency and abstinence among a sample of treatment-seeking tobacco users. METHODS: Seven-month follow-up survey data from N=2760 treatment-seeking tobacco users who utilized statewide tobacco quitlines in three states were used to assess the relationship between 30-day point prevalence abstinence and e-cigarette use frequency at follow-up. E-cigarette use was examined in two ways. First, we looked at any use in the past 30days versus no use. Additionally, past 30-day e-cigarette use frequency was categorized into four groups: 0days, 1-5days - infrequent, 6-29days - intermediate, 30days - daily. Logistic regression models were constructed predicting 30-day point prevalence tobacco abstinence. RESULTS: Both infrequent (AOR=0.35; CI=0.20-0.59) and intermediate (AOR=0.50; CI=0.32-0.80) past 30-day e-cigarette use were associated with lower rates of tobacco abstinence versus no past 30-day use. However, daily e-cigarette users (AOR=1.16; CI=0.71-1.70) had similar 30-day abstinence when compared to non-users. CONCLUSIONS: Results from this study of treatment-seekers support findings from studies of general population tobacco users that suggest frequency of e-cigarette use is an important moderating variable in the relationship between e-cigarette use and tobacco cessation. Future studies should employ more refined measures of e-cigarette use.