Physician-brief advice for promoting smoking cessation among cancer patients on treatment in low and middle-income countries: a scoping review.

INTRODUCTION: Physician-brief advice has been utilized in high-income countries to promote smoking cessation among cancer patients. Empirical evidence on its effectiveness among cancer patients in low and middle-income countries (LMICs) is lacking. The gap could be due to inadequate training, and competing healthcare priorities, leading to insufficient implementation of targeted smoking cessation interventions in oncology settings. We undertook this scoping review to determine if physician-brief advice is effective in promoting smoking cessation among cancer patients in LMICs. METHODS: We conducted a literature search of all relevant articles across five databases: Cochrane Central Register of Controlled Trials, Cochrane Library (Tobacco Addiction Group trials), World Conference on Lung Cancer proceedings, PubMed, and Google Scholar up to November 2023, using pre-defined inclusion criteria and keywords. The study population was cancer survivors in LMICs, the intervention was smoking cessation advice by a physician in a clinic or oncology center during a consultation, and the outcome was the effect of smoking cessation programs in discontinuing smoking among cancer survivors in LMICs. RESULTS: Overall, out of every 10 cancer patients in LMICs, about seven were smokers, and one-half had received physician-brief advice for smoking cessation. Physician-brief advice was more likely to be delivered to patients with smoking-related cancer (Cohen's d = 0.396). This means that there is a noticeable difference between patients with smoking-related cancer compared to those with cancer unrelated to smoking. Smoking cessation failure was due to the inability to cope with the symptoms of withdrawal, missed smoking cessation clinic visits, mental health disorders, limited time and resources, and minimal patient-physician contact. CONCLUSION: There is very little literature on the frequency of use or the efficacy of physician-brief advice on smoking cessation in LMICs. The literature suggests that cancer patients in LMICs have low self-efficacy to quit smoking, and smoking cessation is rarely part of cancer care in LMICs. Physicians in LMICs should be trained to use motivational messages and good counseling techniques to improve smoking cessation among cancer patients. Policymakers should allocate the resources to implement physician-brief advice and design training programs for physicians focusing on physician-brief advice tailored to cancer patients.

Leveraging National Data and Regional Innovations to Right-Size Tobacco Treatment Policy for Behavioral Health in a Midwestern State.

BACKGROUND: People with mental health (MH) and substance use disorders (SUD) have high rates of tobacco use and tobacco-related mortality. They want to stop smoking and studies have shown they can quit, but few behavioral health facilities provide tobacco treatment. The purpose of this paper is to describe how a midwestern statewide behavioral health collaboration used regional data to pinpoint strengths and weaknesses in tobacco treatment trends, identified policies in neighboring states that were associated with high rates of tobacco treatment, and worked with state leaders to implement these policies to enhance treatment. METHODS: We used publicly available data from 2 SAMHSA annual national surveys of MH/SUD facilities to describe tobacco treatment services and policies in behavioral health facilities in Kansas and 3 neighboring states (Missouri, Nebraska and Oklahoma). We interviewed neighboring state leaders to identify policies they had implemented to boost tobacco recovery services in behavioral health. We collaborated with our state behavioral health agency to encourage adoption of similar policies. RESULTS: Using 7 years of survey data (2014-2020), rates for screening, counseling, and medications for tobacco dependence were highest in Oklahoma and Missouri facilities. Oklahoma had the highest percentages of facilities reporting smoke-free campuses. In all states, rates of tobacco service provision and smoke-free campuses were lower among SUD facilities than in MH facilities. State leaders associated several policies with high performance, including (a) requiring programs contracting with the state to conduct screening, provide counseling, and adopt smoke-free campuses (Oklahoma and Missouri); (b) state-based collection of tobacco treatment service provision data (Oklahoma); (c) providing facilities with free NRT for clients (Oklahoma); (d) setting benchmarks for service provision (Oklahoma); (e) comprehensive Medicaid coverage of cessation medications (Missouri). Upon review of these findings, Kansas behavioral health officials adopted a 2-year process to implement similar policies and are integrating tobacco treatment requirements into the state Certified Community Behavioral Health Clinic program. CONCLUSIONS: Summarizing and sharing freely-available data across states laid the groundwork for cross-border networking and policy change. State and federal agencies should integrate these policies into contracts and block grants to reduce tobacco-related disparities among individuals with behavioral health conditions.

Using Bayesian hierarchical models for controlled post hoc subgroup analysis of clinical trials: application to smoking cessation treatment in American Indians and Alaska Natives.

Clinical trials powered to detect subgroup effects provide the most reliable data on heterogeneity of treatment effect among different subpopulations. However, pre-specified subgroup analysis is not always practical and post hoc analysis results should be examined cautiously. Bayesian hierarchical modelling provides grounds for defining a controlled post hoc analysis plan that is developed after seeing outcome data for the population but before unblinding the outcome by subgroup. Using simulation based on the results from a tobacco cessation clinical trial conducted among the general population, we defined an analysis plan to assess treatment effect among American Indians and Alaska Natives (AI/AN) enrolled in the study. Patients were randomized into two arms using Bayesian adaptive design. For the opt-in arm, clinicians offered a cessation treatment plan after verifying that a patient was ready to quit. For the opt-out arm, clinicians provided all participants with free cessation medications and referred them to a Quitline. The study was powered to test a hypothesis of significantly higher quit rates for the opt-out arm at one-month post randomization. Overall, one-month abstinence rates were 15.9% and 21.5% (opt-in and opt-out arm, respectively). For AI/AN, one-month abstinence rates were 10.2% and 22.0% (opt-in and opt-out arm, respectively). The posterior probability that the abstinence rate in the treatment arm is higher is 0.96, indicating that AI/AN demonstrate response to treatment at almost the same probability as the whole population.

The Effects of Opt-out vs Opt-in Tobacco Treatment on Engagement, Cessation, and Costs: A Randomized Clinical Trial.

Importance: Tobacco use causes 7 million deaths per year; most national guidelines require people who use tobacco to opt in to care by affirming they are willing to quit. Use of medications and counseling is low even in advanced economy countries. Objective: To evaluate the efficacy of opt-out care vs opt-in care for people who use tobacco. Design, Setting, and Participants: In Changing the Default (CTD), a Bayesian adaptive population-based randomization trial, eligible patients were randomized into study groups, treated according to group assignment, and debriefed and consented for participation at 1-month follow-up. A total of 1000 adult patients were treated at a tertiary care hospital in Kansas City. Patients were randomized from September 2016 to September 2020; final follow-up was in March 2021. Interventions: At bedside, counselors screened for eligibility, conducted baseline assessment, randomized patients to study group, and provided opt-out care or opt-in care. Counselors and medical staff provided opt-out patients with inpatient nicotine replacement therapy, prescriptions for postdischarge medications, a 2-week medication starter kit, treatment planning, and 4 outpatient counseling calls. Patients could opt out of any or all elements of care. Opt-in patients willing to quit were offered each element of treatment described previously. Opt-in patients who were unwilling to quit received motivational counseling. Main Outcomes and Measures: The main outcomes were biochemically verified abstinence and treatment uptake at 1 month after randomization. Results: Of a total of 1000 eligible adult patients who were randomized, most consented and enrolled (270 [78%] of opt-in patients; 469 [73%] of opt-out patients). Adaptive randomization assigned 345 (64%) to the opt-out group and 645 (36%) to the opt-in group. The mean (SD) age at enrollment was 51.70 (14.56) for opt-out patients and 51.21 (14.80) for opt-out patients. Of 270 opt-in patients, 123 (45.56%) were female, and of 469 opt-out patients, 226 (48.19%) were female. Verified quit rates for the opt-out group vs the opt-in group were 22% vs 16% at month 1 and 19% vs 18% at 6 months. The Bayesian posterior probability that opt-out care was better than opt-in care was 0.97 at 1 month and 0.59 at 6 months. Treatment use for the opt-out group vs the opt-in group was 60% vs 34% for postdischarge cessation medication (bayesian posterior probability of 1.0), and 89% vs 37% for completing at least 1 postdischarge counseling call (bayesian posterior probability of 1.0). The incremental cost-effectiveness ratio was $678.60, representing the cost of each additional quit in the opt-out group. Conclusions and Relevance: In this randomized clinical trial, opt-out care doubled treatment engagement and increased quit attempts, while enhancing patients' sense of agency and alliance with practitioners. Stronger and longer treatment could increase cessation. Trial Registration: ClinicalTrials.gov Identifier: NCT02721082.

Effect of Varenicline Added to Counseling on Smoking Cessation Among African American Daily Smokers: The Kick It at Swope IV Randomized Clinical Trial.

Importance: African American smokers have among the highest rates of tobacco-attributable morbidity and mortality in the US, and effective treatment is needed for all smoking levels. Objectives: To evaluate the efficacy of varenicline vs placebo among African American adults who are light, moderate, and heavy daily smokers. Design, Setting, and Participants: The Kick It at Swope IV (KIS-IV) trial was a randomized, double-blind, placebo-controlled clinical trial conducted at a federally qualified health center in Kansas City. A total of 500 African American adults who were daily smokers of all smoking levels were enrolled from June 2015 to December 2017; final follow-up was completed in June 2018. Interventions: Participants were provided 6 sessions of culturally relevant individualized counseling and were randomized (in a 3:2 ratio) to receive varenicline (1 mg twice daily; n = 300) or placebo (n = 200) for 12 weeks. Randomization was stratified by sex and smoking level (1-10 cigarettes/d [light smokers] or >10 cigarettes/d [moderate to heavy smokers]). Main Outcomes and Measures: The primary outcome was salivary cotinine-verified 7-day point prevalence smoking abstinence at week 26. The secondary outcome was 7-day point prevalence smoking abstinence at week 12, with subgroup analyses for light smokers (1-10 cigarettes/d) and moderate to heavy smokers (>10 cigarettes/d). Results: Among 500 participants who were randomized and completed the baseline visit (mean age, 52 years; 262 [52%] women; 260 [52%] light smokers; 429 [86%] menthol users), 441 (88%) completed the trial. Treating those lost to follow-up as smokers, participants receiving varenicline were significantly more likely than those receiving placebo to be abstinent at week 26 (15.7% vs 6.5%; difference, 9.2% [95% CI, 3.8%-14.5%]; odds ratio [OR], 2.7 [95% CI, 1.4-5.1]; P = .002). The varenicline group also demonstrated greater abstinence than the placebo group at the end of treatment week 12 (18.7% vs 7.0%; difference, 11.7% [95% CI, 6.0%-17.7%]; OR, 3.0 [95% CI, 1.7-5.6]; P < .001). Smoking abstinence at week 12 was significantly greater for individuals receiving varenicline compared with placebo among light smokers (22.1% vs 8.5%; difference, 13.6% [95% CI, 5.2%-22.0%]; OR, 3.0 [95% CI, 1.4-6.7]; P = .004) and among moderate to heavy smokers (15.1% vs 5.3%; difference, 9.8% [95% CI, 2.4%-17.2%]; OR, 3.1 [95% CI, 1.1-8.6]; P = .02), with no significant smoking level × treatment interaction (P = .96). Medication adverse events were generally comparable between treatment groups, with nausea reported more frequently in the varenicline group (163 of 293 [55.6%]) than the placebo group (90 of 196 [45.9%]). Conclusions and Relevance: Among African American adults who are daily smokers, varenicline added to counseling resulted in a statistically significant improvement in the rates of 7-day point prevalence smoking abstinence at week 26 compared with counseling and placebo. The findings support the use of varenicline in addition to counseling for tobacco use treatment among African American adults who are daily smokers. Trial Registration: ClinicalTrials.gov Identifier: NCT02360631.

Use of pre-enrollment randomization and delayed consent to maximize participation in a clinical trial of opt-in versus opt-out tobacco treatment.

Background: Enrollment in smoking cessation trials remain sub-optimal. The aim of this analysis was to determine the effectiveness of a modified Zelen's design in engaging hospitalized patients who smoke in a pragmatic OPT-IN versus OPT-OUT tobacco treatment trial. Methods: At bedside, clinical staff screened smokers for eligibility, randomized eligible into study arms, and delivered the appropriate treatment approach. Study staff called randomized patients at one-month post-discharge, debriefed patients on the study design, and collected consent to participate. We used frequencies and percentages for categorical variables and means and standard deviations for quantitative variables to describe the characteristics of those who consented and were enrolled versus those who did not enroll. We also compared the characteristics of participants who consented and those who were reached and explicitly refused consent at one-month follow-up. We used the Cohen's d measure of effect size to evaluate differences. Results: Of the 1,000 randomized, 741 (74.1%) consented to continue in the study at one-month follow-up. One hundred and twenty-seven (12.7%) refused consent and 132 (13.2%) were unreachable. Cohen's d effect size differences between those who consented/enrolled (n = 741) and those who were not enrolled (n = 259) were negligible (<0.2) for age, gender, race/ethnicity, and most forms of insurance. The effect size was small for Medicaid (0.36), and other public insurance (0.48). After excluding those unreached at 1 month (12.7%), there were medium Cohen's d effect size differences between those who consented to participate (n = 741) and those who explicitly refused (n = 127) with respect to age (0.55) and self-pay or no insurance (0.51). There were small to negligible effect size differences with respect to sex, race/ethnicity, and other forms of health insurance. Conclusions: The modified Zelen's design resulted in successful enrollment of most participants who were initially randomized into the trial, including those not motivated to quit.

Factors associated with binge drinking-Findings from 2019 Kansas behavioral risk factor surveillance system.

Background: In the U.S., excessive drinking accounts for one in 10 deaths among adults aged 20-64 years old. Binge drinking is a common form of excessive alcohol consumption that contributes to this chilling statistic. Binge drinking is defined as women consuming four or more drinks or men consuming five or more drinks within a 2-h time span. Examining existing data on risk factors for binge drinking can inform strategies to prevent this deadly practice. Methods: The 2019 Kansas Behavioral Risk Factor Surveillance System (BRFSS) dataset consists of data collected from 11,368 non-institutionalized adults aged 18 years and older with landline or cell phones. The dependent variable in this study was binge drinking status. The independent variables included several sociodemographic variables and risk factors. Data were analyzed using descriptive statistics, bivariate analysis, single logistic regression, and multivariable logistic regression. Results: In the population, 1,447 (17.4%) were reported to be binge drinkers. Significant factors associated with binge drinking in the final model included sex (aOR = 0.53 (0.45-0.63)), age (18-24 years old aOR = 8.77 (6.02-12.79); 25-34 years old aOR = 7.10 (5.35-9.42); 35-44 years old aOR = 6.23 (4.73-8.19); 45-54 years old aOR = 3.87 (2.92-5.14); and 55-64 years old aOR = 2.58 (1.96-3.38)), income ($15,000-$24,999 aOR = 1.00 (0.63-1.58); $25,000-$34,999 aOR = 1.61 (1.04-2.50); $35,000-$49,999 aOR = 1.69 (1.13-2.55); ≥$50,000 aOR = 1.97 (1.34-2.89)), smokeless tobacco use (aOR = 2.09 (1.55-2.82)), and smoking/e-cigarette use (Cigarette user only aOR = 2.11 (1.69-2.65); E-cigarette user only aOR = 2.67 (1.62-3.17); dual cigarette and e-cigarette user = 3.43 (2.21-5.33)). Conclusion: Developing interventions that take into account elevated risk for binge drinking amongst demographic characteristics (i.e., age, sex, income) and lifestyle factors (i.e., smokeless tobacco use, and smoking/e-cigarette use) is crucial to lowering morbidity and mortality related to this form of excessive alcohol consumption.

Examining the Association of Food Insecurity and Being Up-to-Date for Breast and Colorectal Cancer Screenings.

BACKGROUND: Food insecurity (FI) has been associated with poor access to health care. It is unclear whether this association is beyond that predicted by income, education, and health insurance. FI may serve as a target for intervention given the many programs designed to ameliorate FI. We examined the association of FI with being up-to-date to colorectal cancer and breast cancer screening guidelines. METHODS: Nine NCI-designated cancer centers surveyed adults in their catchment areas using demographic items and a two-item FI questionnaire. For the colorectal cancer screening sample (n = 4,816), adults ages 50-75 years who reported having a stool test in the past year or a colonoscopy in the past 10 years were considered up-to-date. For the breast cancer screening sample (n = 2,449), female participants ages 50-74 years who reported having a mammogram in the past 2 years were up-to-date. We used logistic regression to examine the association between colorectal cancer or breast cancer screening status and FI, adjusting for race/ethnicity, income, education, health insurance, and other sociodemographic covariates. RESULTS: The prevalence of FI was 18.2% and 21.6% among colorectal cancer and breast cancer screening participants, respectively. For screenings, 25.6% of colorectal cancer and 34.1% of breast cancer participants were not up-to-date. In two separate adjusted models, FI was significantly associated with lower odds of being up-to-date with colorectal cancer screening [OR, 0.7; 95% confidence interval (CI), 0.5-0.99)] and breast cancer screening (OR, 0.6; 95% CI, 0.4-0.96). CONCLUSIONS: FI was inversely associated with being up-to-date for colorectal cancer and breast cancer screening. IMPACT: Future studies should combine FI and cancer screening interventions to improve screening rates.

Examining Rural-Urban Differences in Fatalism and Information Overload: Data from 12 NCI-Designated Cancer Centers.

BACKGROUND: Rural populations experience a disproportionate cancer burden relative to urban populations. One possibility is that rural populations are more likely to hold counterproductive cancer beliefs such as fatalism and information overload that undermine prevention and screening behaviors. METHODS: Between 2016 and 2020, 12 U.S. cancer centers surveyed adults in their service areas using online and in-person survey instruments. Participants (N = 10,362) were designated as rural (n = 3,821) or urban (n = 6,541). All participants were 18 and older (M = 56.97, SD = 16.55), predominately non-Hispanic White (81%), and female (57%). Participants completed three items measuring cancer fatalism ("It seems like everything causes cancer," "There's not much you can do to lower your chances of getting cancer," and "When I think about cancer, I automatically think about death") and one item measuring cancer information overload ("There are so many different recommendations about preventing cancer, it's hard to know which ones to follow"). RESULTS: Compared with urban residents, rural residents were more likely to believe that (i) everything causes cancer (OR = 1.29; 95% CI, 1.17-1.43); (ii) prevention is not possible (OR = 1.34; 95% CI, 1.19-1.51); and (iii) there are too many different recommendations about cancer prevention (OR = 1.26; 95% CI, 1.13-1.41), and cancer is always fatal (OR = 1.21; 95% CI, 1.11-1.33). CONCLUSIONS: Compared with their urban counterparts, rural populations exhibited higher levels of cancer fatalism and cancer information overload. IMPACT: Future interventions targeting rural populations should account for higher levels of fatalism and information overload.

Development and implementation of the ECHO model in a school setting to address youth electronic cigarette use in Kansas: A protocol.

Introduction: Schools remain at the frontlines of addressing issues, such as e-cigarette use, that impact students. Despite e-cigarette use remaining a significant public health concern in the U.S., schools have limited resources (e.g., staff, capacity, programming) to address it, especially in rural and frontier areas. This ECHO Pilot Project aimed to build capacity and equip schools and school staff in the state of Kansas to address high rates of youth e-cigarette use by providing prevention support and information on best practices for e-cigarette cessation. Methods and analysis: The pilot used the established Project ECHO model to disseminate evidence-based strategies for e-cigarette prevention and cessation among youth to schools across Kansas. The pilot selected 20 interdisciplinary school teams representing both rural and urban middle and high schools across the state to participate in seven ECHO sessions. ECHO sessions proceeded throughout Fall 2021, with the final session in Spring 2022. School participants completed pre-post surveys as well as component-specific surveys following each ECHO session. In addition, each school team created an individualized action plan to comprehensively address e-cigarette use at their school based on the information provided throughout the ECHO. Survey data, school tobacco/nicotine policies, and action plans will be analyzed to assess process and final outcomes. Discussion: If successful, this pilot will demonstrate that the ECHO model is an effective platform for building school staff knowledge and skills to implement evidence-based strategies in both urban and rural settings. It is anticipated that the pilot will build capacity and equip schools and school staff to address high rates of youth e-cigarette use by providing support for school-based prevention programs and referrals for e-cigarette cessation which will lessen the burden of nicotine-related problems in Kansas schools and communities. Finally, the pilot will provide evidence that the ECHO model can be successfully and equitably applied in a school setting and may be a viable method for addressing other public health-related issues faced by schools.

Pilot Testing All Nations Snuff Out Smokeless (ANSOS): A Culturally Tailored Smokeless Tobacco Cessation Program for American Indians.

American Indians have the highest rates of smokeless tobacco (SLT) use of any racial/ethnic group in the United States, yet no proven effective cessation programs exist for them. Because tobacco is a sacred plant to many American Indians, cessation programs must not portray it in a completely negative manner. Based on our successful All Nations Breath of Life smoking cessation program, we developed and pilot-tested the All Nations Snuff Out Smokeless (ANSOS) program. Of 48 participants who began the program, 33 completed to six months (68.8% retention rate). Among participants who completed the program, 11 (34%) self-reported abstinence. When those lost to follow-up are considered current users, the cessation rate is 22.9%. An additional 14 individuals reported decreasing use (29.2% of all participants), with an average of 3.4 days per week decrease. All Nations Snuff Out Smokeless shows promise as a culturally appropriate SLT cessation program and is ready for efficacy testing.

Differences in Breast and Colorectal Cancer Screening Adherence Among Women Residing in Urban and Rural Communities in the United States.

Importance: Screening for breast and colorectal cancer has resulted in reductions in mortality; however, questions remain regarding how these interventions are being diffused to all segments of the population. If an intervention is less amenable to diffusion, it could be associated with disparities in mortality rates, especially in rural vs urban areas. Objectives: To compare the prevalence of breast and colorectal cancer screening adherence and to identify factors associated with screening adherence among women residing in rural vs urban areas in the United States. Design, Setting, and Participants: This population-based cross-sectional study of women aged 50 to 75 years in 11 states was conducted from 2017 to 2020. Main Outcomes and Measures: Adherence to cancer screening based on the US Preventative Services Task Force guidelines. For breast cancer screening, women who had mammograms in the past 2 years were considered adherent. For colorectal cancer screening, women who had (1) a stool test in the past year, (2) a colonoscopy in the past 10 years, or (3) a sigmoidoscopy in the past 5 years were considered adherent. Rural status was coded using Rural Urban Continuum Codes, and other variables were assessed to identify factors associated with screening. Results: The overall sample of 2897 women included 1090 (38.4%) rural residents; 2393 (83.5%) non-Hispanic White women; 263 (9.2%) non-Hispanic Black women; 68 (2.4%) Hispanic women; 1629 women (56.2%) aged 50 to 64 years; and 712 women (24.8%) with a high school education or less. Women residing in urban areas were significantly more likely to be adherent to colorectal cancer screening compared with women residing in rural areas (1429 [82%] vs 848 [78%]; P = .01), whereas the groups were equally likely to be adherent to breast cancer screening (1347 [81%] vs 830 [81%]; P = .78). Multivariable mixed-effects logistic regression analyses confirmed that rural residence was associated with lower odds of being adherent to colorectal cancer screening (odds ratio [OR], 0.81; 95% CI, 0.66-0.99, P = .047). Non-Hispanic Black race was associated with adherence to breast cancer screening guidelines (OR, 2.85; 95% CI, 1.78-4.56; P < .001) but not colorectal cancer screening guidelines. Conclusions and Relevance: In this cross-sectional study, women residing in rural areas were less likely to be adherent to colorectal cancer screening guidelines but were similarly adherent to breast cancer screening. This suggests that colorectal cancer screening, a more recent intervention, may not be as available in rural areas as breast cancer screening, ie, colorectal screening has lower amenability.

Racial Disparities of E-Cigarette Use Among US Youths: 2014‒2019.

Objectives To evaluate disparities in youth e-cigarette use patterns and flavor use by race/ethnicity over time. Methods We used data from the US 2014-2019 National Youth Tobacco Survey (NYTS) to examine trends in dual use (co-use of e-cigarettes and cigarettes or other tobacco products), occasional (≤ 5 days) versus frequent use (≥ 20 days) in the past 30 days, and flavor use among current (past-30-day) e-cigarette users (n = 13 178) across racial/ethnic groups (non-Hispanic Whites, non-Hispanic Blacks, Hispanics/Latinos, and non-Hispanic others). Results Among current e-cigarette users, dual use and occasional use decreased significantly from 2014 to 2019 across racial and ethnic groups except for non-Hispanic Blacks; frequent use and flavored e-cigarette use increased among non-Hispanic Whites, Hispanics/Latinos, and non-Hispanic others but not among non-Hispanic Blacks. In 2019, non-Hispanic Black e-cigarette users were more likely to report dual use (adjusted odds ratio [AOR] = 2.2; 95% confidence interval [CI] = 1.5, 3.2; P < .001) and occasional use of e-cigarettes (AOR = 3.7; 95% CI = 2.3, 5.9; P < .001) but less likely to report frequent use (AOR = 0.2; 95% CI = 0.1, 0.4; P < .001) and flavored e-cigarette use (AOR = 0.4; 95% CI = 0.3, 0.5; P < .001) than their White peers. Conclusions Youth e-cigarette use patterns differed considerably across racial/ethnic groups, and tailored strategies to address disparities in e-cigarette use are needed. (Am J Public Health. 2021;111(11):2050-2058. https://doi.org/10.2105/AJPH.2021.306448).

Text messaging promoting physician-led brief intervention tobacco cessation: A before-and-after study among physicians in three tertiary hospitals in Nigeria.

Background: Physician-led smoking cessation services are suboptimal in Nigeria. Objectives: This study evaluated a text messaging intervention designed to increase the knowledge and practices of physicians in Nigeria to help smokers quit. Methods: Using a pre-post study design, all physicians (N = 946) in 3 tertiary care hospitals located in 3 geopolitical zones in Nigeria were sent 2-3 text messages weekly over a 13-week period to create awareness and improve cessation practices using the "Ask, Advise and Refer" (AAR) model. The primary outcomes were the awareness of AAR and the proportion of physicians who offered each of the components of the brief intervention (AAR) to at least half of eligible patients. Secondary outcomes included the attitudes and self-reported effects of the messages on motivation to offer AAR to patients who smoke. Results: Of the 946 eligible respondents, only 165 responded to both the before and after intervention surveys (17.4% participation rate). Participants were more likely to indicate awareness of the AAR approach after the intervention (60%) than before (21.2%). Overall, physicians' practice of each component of the AAR changed significantly after the intervention (P < .001; McNemar test). Of the participants, 71.5% reported reading the messages most/all of the time and 84.8% reported that the frequency of the messages was just adequate. Conclusions: A brief and low-cost text messaging intervention to physicians increased the awareness and practice of AAR in those who participated in the study. However, the relatively low participation rate highlights the importance of new research to improve and expand text messaging as an intervention among physicians to help them foster tobacco treatment among their patients.

One-Time Education Sessions to Help American Indian Smokeless Tobacco Users Quit.

American Indian (AI) smokeless tobacco use rates are the highest of all racial/ethnic groups within the United States. Despite this, no effective cessation program currently exists that acknowledges the cultural significance of tobacco among many American Indian tribal nations. Participants were smokeless tobacco users, over 18 years of age, and were recruited through community partners. We modified the All Nations Snuff Out Smokeless Tobacco group-based program to be delivered as a one-time education session intervention. This was delivered to 80 participants and follow-up data was collected by self-report at 6-months. The mean age of participants was 35 and most were male (70%). A majority (69%) grew up on a AI reservation; the mean age of first smokeless tobacco use was 16 years of age. Of program completers reached for 6-month post baseline, 46% reported 0 days of SLT use; 13.5% of participants reduced; while 36% reported continued daily use. In intention to treat analysis those lost to follow-up are considered current users, the quit rate was 12.5% and among those who were still using, 4.0% reduced their use. In this study, a one-time education session intervention was effective for those who prefer an individual based approach to quitting SLT use. Follow up strategies to increase participant retention at 6-months should be explored.

Effects of post-discharge counseling and medication utilization on short and long-term smoking cessation among hospitalized patients.

Numerous studies have tested the effect of multicomponent post-discharge smoking cessation interventions on post-discharge smoking cessation, and many are effective. However, little is known regarding the relative efficacy of the different intervention components on short or long-term cessation. The present study is a secondary analysis (n = 984) of a randomized controlled trial for hospitalized smokers that took place at two large hospitals in Kansas from 2011 to 2014. All study participants were offered post-discharge quitline services. Pharmacotherapy was recommended during bedside tobacco treatment. The study outcomes were self-reported cessation at 1-month and biochemically verified cessation at 6-months post-randomization. During the post-discharge period, 69% of participants completed at least one quitline call and 28% of participants reported using cessation pharmacotherapy. After controlling for known predictors of cessation among hospitalized smokers, both the number of total quitline calls completed post-discharge and use of cessation pharmacotherapy post-discharge were predictive of cessation at 1-month. After accounting for predictors of cessation and quitting at 1-month, total post-discharge quitline calls was associated with cessation at 6-months (OR [95% CI] = 1.23 [1.12, 1.35], p < 0.001) while post-discharge cessation pharmacotherapy use was not. The results suggest that both engagement in quitline services and use pharmacotherapy independently facilitate cessation beyond the influence of known clinical characteristics associated with cessation. Over the longer term, the effect of engaging in quitline services persists while the effect of pharmacotherapy diminishes. To optimize outcomes, future research should investigate methods to increase utilization of medications and promote sustained counseling engagement in order to sustain the effects of treatment during the post-discharge period.

Rapid relapse to smoking following hospital discharge.

Many of nearly 7 million smokers who are hospitalized each year plan to stay quit after they leave the hospital. Most, however, relapse after discharge. This is a secondary analysis of a large Midwestern hospital-based smoking cessation trial that occurred between July 2011 and May 2013 to better understand how quickly smokers relapse and the predictors of rapid relapse. Of 942 participants who completed follow up, 25% returned to smoking within a day after hospital discharge. Among these rapid relapses, 36.6% relapsed within one-hour of leaving the hospital, 35.3% between one and 24 h, and 28.1% relapsed one-day post-discharge. Predictors with the highest odds for rapid relapse (within a day of hospital discharge) included tobacco use during hospitalization (OR, 7.37, [95% CI, 3.85-14.13], P < 0.01); low confidence for quitting (OR, 2.07, [95% CI, 1.49-2.88], P < 0.01); and not setting a quit date (OR, 1.76, [95% CI, 1.25-2.48], P < 0.01). Other significant predictors included higher nicotine dependence, shorter length of stay, and depression. Patients who are vulnerable to rapid relapse may benefit from policies that discourage leaving the hospital to smoke. In addition, hospital interventions that target smokers' confidence in quitting, encourage setting a quit date, and addressing nicotine dependence and depression may also be effective at supporting smoker's intentions to make their pre-admission cigarette their last. Clinical Trials Registration NCT01305928.

Critical steps in the path to using cessation pharmacotherapy following hospital-initiated tobacco treatment.

BACKGROUND: Hospital-initiated smoking cessation interventions utilizing pharmacotherapy increase post-discharge quit rates. Use of smoking cessation medications following discharge may further increase quit rates. This study aims to identify individual, smoking-related and hospitalization-related predictors of engagement in three different steps in the smoking cessation pharmacotherapy utilization process: 1) receiving medications as inpatient, 2) being discharged with a prescription and 3) using medications at 1-month post-hospitalization, while accounting for associations between these steps. METHODS: Study data come from a clinical trial (N = 1054) of hospitalized smokers interested in quitting who were randomized to recieve referral to a quitline via either warm handoff or fax. Variables were from the electronic health record, the state tobacco quitline, and participant self-report. Relationships among the predictors and the steps in cessation medication utilization were assessed using bivariate analyses and multivariable path analysis. RESULTS: Twenty-eight percent of patients reported using medication at 1-month post-discharge. Receipt of smoking cessation medications while hospitalized (OR = 2.09, 95%CI [1.39, 3.15], p < .001) and discharge with a script (OR = 4.88, 95%CI [3.34, 7.13], p < .001) were independently associated with medication use at 1-month post-hospitalization. The path analysis also revealed that the likelihood of being discharged with a script was strongly influenced by receipt of medication as an inpatient (OR = 6.61, 95%CI [4.66, 9.38], p < .001). A number of other treatment- and individual-level factors were associated with medication use in the hospital, receipt of a script, and use post-discharge. CONCLUSIONS: To encourage post-discharge smoking cessation medication use, concerted effort should be made to engage smokers in tobacco treatment while in hospital. The individual and hospital-level factors associated with each step in the medication utilization process provide good potential targets for future implementation research to optimize treatment delivery and outcomes. TRIAL REGISTRATION: Number: NCT01305928 . Date registered: February 24, 2011.

Does outpatient cardiac rehabilitation help patients with acute myocardial infarction quit smoking?

Outpatient cardiac rehabilitation (OCR) reinforces patients' efforts to quit smoking, but the association between participation in OCR and long-term smoking status after acute myocardial infarction (AMI) is unknown. We studied hospitalized smokers with confirmed AMI from two multicenter prospective registries (PREMIER, from January 1, 2003, to June 28, 2004, and TRIUMPH, from April 11, 2005, to December 31, 2008) to describe the association of OCR participation with smoking cessation. Eligible patients smoked at least 1 cigarette per day on average in the 30 days prior to enrollment and completed 12-month follow-up (N = 1307). Structured interviews were completed on subjects at baseline and during follow-up. OCR participation and abstinence from smoking within the prior 30-days (30-day point prevalence abstinence, PPA) were self-reported. We constructed a propensity model of OCR participation based on 22 baseline sociodemographic and clinical characteristics, and constructed hierarchical modified Poisson regression models of 30-day PPA at 12 months after matching on the propensity for OCR participation (with clinical site treated as a random effect). Seventy-four percent of subjects were referred to OCR at hospital discharge, but only 36% participated during follow-up. At 12-month follow-up, 30-day PPA was 57% in OCR participants, compared to 41% in matched OCR non-participants. Participation in OCR was a significant predictor of 30-day PPA at 12 months (adjusted RR 1.38, 95% CI 1.20-1.57). In conclusion, smokers who participated in OCR were significantly more likely to abstain from smoking 12 months after AMI hospitalization.