Does Smoking Intensity Predict Cessation Rates? A Study of Light-Intermittent, Light-Daily, and Heavy Smokers Enrolled in Two Telephone-Based Counseling Interventions.

INTRODUCTION: Though many interventions have been shown to be effective in helping smokers quit, outcomes may differ between light and heavy smokers. We identified differences in baseline characteristics and post-intervention cessation rates among smoker groups at two safety-net hospitals. METHODS: We retrospectively analyzed cessation rates in 1604 patients randomized to either a quitline referral (1-2 telephone counseling sessions) or intensive counseling program (seven telephone sessions). Participants were stratified into light-intermittent (smoked on ≤24 of last 30 days), light-daily (smoked on >24/30 days, 1-9 cigarettes per day [CPD]), or heavy smokers (smoked on >24/30 days, ≥10 CPD). We compared baseline characteristics between smoker types using chi-squared tests, then identified predictors of 30-day abstinence using a multivariable model. RESULTS: Compared with light-daily and light-intermittent smokers, heavy smokers were more likely to be white, male, concomitant e-cigarette users, to have high-risk alcohol use, to have used quitting aids previously, to have current or lifetime substance use (excluding cannabis), and have lower confidence in quitting. However, in multivariable analysis, smoker type was not significantly associated with cessation. The statistically significant predictors of cessation at 6 months were higher confidence in quitting and enrollment in the intensive counseling intervention. CONCLUSIONS: Smoker type (light-intermittent, light-daily, or heavy) does not independently predict success in a cessation program. However, smoker type is strongly associated with patients' confidence in quitting, which may be one predictor of cessation. IMPLICATIONS: This study of two safety-net hospitals emphasizes that the number of cigarettes smoked per day does not independently predict smoking cessation. Additionally, heavy smokers are at highest risk for the detrimental health effects of tobacco, yet have lower confidence and motivation to quit. Confidence in quitting may be one factor that affects cessation rates; however, further study is needed to identify which other attributes predict cessation. These findings suggest that smoker type may still be a useful proxy for predicting cessation and that interventions specifically designed for and validated in heavy smokers are needed to better aid these individuals.

Characteristics of Urban Inpatient Smokers With and Without Chronic Pain: Foundations for Targeted Cessation Programs.

BACKGROUND: Cigarette smoking and chronic pain are prevalent, comorbid conditions with significant consequences for individuals and society. Despite overlap between smoking and chronic pain, and pain's role as a potential barrier to quitting, there are no validated interventions targeted for smokers with chronic pains (SWCPs). OBJECTIVE: To compare characteristics of urban inpatient smokers with and without chronic pain to inform the development of SWCP-targeted cessation interventions. METHODS: This study reports partial results from a randomized comparative effectiveness trial of two smoking cessation interventions (NCT01363245). Participants were enrolled at two safety net hospitals in New York, NY in 2011-2014. Data were collected from the electronic health record and an interviewer-administered survey. Participants were considered to have chronic pain if they affirmed having "long-lasting, persistent, or chronic pain in the last six months" on survey. RESULTS: Among smokers assessed for pain (n = 1093), the prevalence of chronic pain was 44%. SWCPs were more likely to report depressive symptoms and to have a history of psychiatric diagnosis (nonsubstance related) than smokers without pain. Severe problems with mobility and with performing usual activities were more common in SWCPs. No significant difference was observed in sex, race, education, nicotine dependence level, confidence in quit ability, or history of substance misuse. Conclusions/Importance: Chronic pain in smokers admitted to safety net hospitals is prevalent and associated with hindered mobility, history of psychiatric diagnosis, and prescription opioid use. Urban safety net hospitals are an appropriate setting in which to pilot SWCP-targeted cessation programs, which should be designed with consideration for patients' psychiatric history and mobility status.

Financial IncEntives for Smoking TreAtment: protocol of the FIESTA trial and FIESTA Oral Microbiome Substudy.

BACKGROUND: Smoking is the leading preventable cause of death in the United States, but evidence-based smoking cessation therapy is underutilized. Financial incentive strategies represent an innovative approach for increasing the use of counseling and pharmacotherapy. If effective, they could supplement or supplant resource-intensive policy options, particularly in populations for whom smoking has substantial societal costs. FIESTA (Financial IncEntives for Smoking TreAtment) will randomize hospitalized smokers to receive usual smoking cessation care alone or usual smoking care augmented with financial incentives. We aim to compare the impact of these two strategies on 1) smoking abstinence, 2) use of counseling and nicotine replacement therapy, and 3) quality of life of participants. We also will evaluate the short-term and long-term return on the investment of incentives. The FIESTA Oral Microbiome Substudy will compare the oral microbiome of smokers and nonsmokers to longitudinally assess whether smoking cessation changes oral microbiome composition. METHODS: We will enroll 182 inpatient participants from the Manhattan campus of the Veterans Affairs New York Harbor Healthcare System. All participants receive enhanced usual care, including screening for tobacco use, counseling while hospitalized, access to nicotine replacement therapy, and referral to a state Quitline. Patients in the financial incentive arm receive enhanced usual care and up to $550 for participating in the New York Smoker's Quitline, using nicotine replacement therapy (NRT), and achieving biochemically confirmed smoking cessation at 2 months and 6 months. In the microbiome substudy, we enroll nonsmoking control participants matched to each recruited smoker's hospital ward, sex, age, diabetes status, and antibiotic use. After discharge, participants are asked to complete periodic phone interviews at 2 weeks, 2 months, 6 months, and 12 months and provide expired carbon monoxide and saliva samples at 2 months, 6 months, and 12 months for cotinine testing and oral microbiome analysis. DISCUSSION: The incentive interventions of FIESTA may benefit hospitalized smokers, an objective made all the more critical because smoking rates among hospitalized patients are higher than those in the general population. Moreover, the focus of FIESTA on evidence-based therapy and bioconfirmed smoking cessation can help guide policy efforts to reduce smoking-related healthcare costs in populations with high rates of tobacco use and costly illnesses. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02506829 . Registered on 1 July 2014.

Comparison of the Substance Use Brief Screen (SUBS) to the AUDIT-C and ASSIST for detecting unhealthy alcohol and drug use in a population of hospitalized smokers.

Hospitalized patients have high rates of unhealthy substance use, which has important impacts on health both during and after hospitalization, but is infrequently identified in the absence of screening. The Substance Use Brief Screen (SUBS) was developed as a brief, self-administered instrument to identify use of tobacco, alcohol, illicit drugs, and non-medical use of prescription drugs, and was previously validated in primary care patients. This study assessed the diagnostic accuracy of the SUBS in comparison to longer screening instruments to identify unhealthy and high-risk alcohol and drug use in hospitalized current smokers. Participants were 439 patients, aged 18 and older, who were admitted to either two urban safety-net hospitals in New York City and enrolled in a smoking cessation trial. We measured the performance of the SUBS for identifying illicit drug and non-medical use of prescription drugs in comparison to a modified Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and its performance for identifying excessive alcohol use in comparison to the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C). At the standard cutoff (response other than 'never' indicates a positive screen), the SUBS had a sensitivity of 98% (95% CI 95-100%) and specificity of 61% (95% CI 55-67%) for unhealthy alcohol use, a sensitivity of 85% (95% CI 80-90%) and specificity of 75% (95% CI 78-87%) for illicit drug use, and a sensitivity of 73% (95% CI 61-83%) and specificity of 83% (95% CI 78-87%) for prescription drug non-medical use. For identifying high-risk use, a higher cutoff (response of '3 or more days' of use indicates a positive screen), the SUBS retained high sensitivity (77-90%), and specificity was 62-88%. The SUBS can be considered as an alternative to longer screening instruments, which may fit more easily into busy inpatient settings. Further study is needed to evaluate its validity using gold standard measures in hospitalized populations.

Smoking-Cessation Interventions for Urban Hospital Patients: A Randomized Comparative Effectiveness Trial.

INTRODUCTION: Hospitalization is a unique opportunity for smoking cessation, but prior interventions have measured efficacy with narrowly defined populations. The objective of this study was to enroll smokers admitted to two "safety net" hospitals and compare the effectiveness of two post-discharge cessation interventions. DESIGN: A randomized comparative effectiveness trial was conducted. SETTING/PARTICIPANTS: At two New York City public hospitals, every hospitalized patient identified as a smoker (based on admission records) was approached. Inclusion criteria were: smoked cigarettes in the past 30 days; spoke English, Spanish, or Mandarin; had a U.S. phone number; not discharged to an institution where follow-up or smoking was limited; and not pregnant/breastfeeding. Of 18,797 patients identified as current smokers between July 2011 and April 2014, a total of 3,047 (16%) were discharged before being approached, 3,273 (17%) were not current smokers, 4,026 (21%) had no U.S. phone number, 2,831 (15%) were ineligible for other reasons, and 3,983 (21%) refused participation. In total, 1,618 (9%) participants enrolled in the study. During follow-up, 69% of participants were reached at 2 months and 68% at 6 months. INTERVENTION: At discharge, participants were randomized to multisession telephone counseling from study staff (n=804) or referral to the state quitline for proactive outreach and counseling (n=814). MAIN OUTCOME MEASURES: Self-reported abstinence at 6 months was measured. Analyses were conducted in late 2015. RESULTS: One quarter of participants were homeless or in unstable housing, 60% had a history of substance abuse, 43% reported current hazardous drinking, and half had a psychiatric diagnosis other than substance abuse. At follow-up, the rate of abstinence (30-day point prevalence) was higher in the intensive counseling arm than the quitline arm at 2 months (29.0% vs 20.7%; relative risk=1.40; 95% CI=1.13, 1.73) and 6 months (37.4% vs 31.5%; relative risk=1.19; 95% CI=1.01, 1.40). CONCLUSIONS: Intensive counseling was more effective than referral to the state quitline. Long-term abstinence was excellent in both groups. Many patients were not eligible for enrollment despite minimal exclusion criteria. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01363245.

An Exploration of Online Behaviors and Social Media Use Among Hookah and Electronic-Cigarette Users.

INTRODUCTION: The purpose of this study was to explore the relationship between social norms and attitudes towards ENDS and hookah and use of these products. METHODS: We conducted surveys with hookah and ENDS users who regularly used the Internet and social media and analyzed the primary social media account (e.g. Facebook) of each participant, coding all references to nicotine or tobacco products. The survey included domains on perceived favorability, perceived vulnerability and subjective norms. RESULTS: We surveyed 21 ENDS users and 20 hookah users. Both groups used the Internet to look up information about their respective tobacco product (95% for hookah vs. 90% for ENDS). Seventy percent of hookah users had references to hookah on their social media profiles while 43% of ENDS users had references to ENDS on their page. The majority of both groups were exposed to content posted by friends in their social media network about their respective products online. Those who posted on social media about hookah and those who read about ENDS online had lower perceived vulnerability to the health risks associated with tobacco products. CONCLUSIONS: Hookah and ENDS users actively use the Internet and social media to obtain and share information about nicotine/tobacco products. Study participants who use hookah were more likely to share photos and discuss hookah related activities via social media than those who use ENDS. Social networks also represent valuable and untapped potential resources for communicating with this group about risks and harm reduction related to emerging nicotine/tobacco products.

Developing self-management education in coronary artery disease.

We describe a three-step approach to develop and evaluate a novel coronary artery disease (CAD) self-management educational workbook. First, we conducted interviews using grounded theory methods with a diverse CAD cohort (n = 61) to identify needs and perceptions. Second, we developed the workbook, incorporating themes that emerged from the qualitative interviews. Finally, 225 people with CAD used the workbook in a longitudinal study and we evaluated their use of and experience with the workbook at 12 months. 12-month evaluation data revealed that the workbook: provided practical health information; enhanced behavior-specific self-efficacy; and reinforced that healthy behaviors decrease risk. Participants who read the workbook had greater within-patient increases in physical activity at 12-months compared with non-readers (p = 0.093) and among Black/Hispanic participants, workbook readers' increases were significant (592 vs. -645 kilocalories per week, p = 0.035). A self-management educational workbook developed using qualitative methods can provide relevant, disease-specific health information for patients with CAD.

Use of Self-Care and Practitioner-Based Forms of Complementary and Alternative Medicine before and after a Diagnosis of Breast Cancer.

Purpose. We examine factors associated with self-care, use of practitioner-based complementary and alternative medicine (CAM), and their timing in a cohort of women with breast cancer. Methods. Study participants were women with breast cancer who participated in the Long Island Breast Cancer Study Project. Self-care is defined as the use of multivitamins, single vitamins, botanicals, other dietary supplements, mind-body practices, special diets, support groups, and prayer. Within each modality, study participants were categorized as continuous users (before and after diagnosis), starters (only after diagnosis), quitters (only before diagnosis), or never users. Multivariable logistic regression was used for the main analyses. Results. Of 764 women who provided complete data, 513 (67.2%) initiated a new form of self-care following breast cancer diagnosis. The most popular modalities were those that are ingestible, and they were commonly used in combination. The strongest predictor of continuous use of one type of self-care was continuous use of other types of self-care. Healthy behaviors, including high fruit/vegetable intake and exercise, were more strongly associated with continuously using self-care than starting self-care after diagnosis. Conclusions. Breast cancer diagnosis was associated with subsequent behavioral changes, and the majority of women undertook new forms of self-care after diagnosis. Few women discontinued use of modalities they used prior to diagnosis.

Translating basic behavioral and social science research to clinical application: the EVOLVE mixed methods approach.

OBJECTIVE: To describe a mixed-methods approach to develop and test a basic behavioral science-informed intervention to motivate behavior change in 3 high-risk clinical populations. Our theoretically derived intervention comprised a combination of positive affect and self-affirmation (PA/SA), which we applied to 3 clinical chronic disease populations. METHOD: We employed a sequential mixed methods model (EVOLVE) to design and test the PA/SA intervention in order to increase physical activity in people with coronary artery disease (post-percutaneous coronary intervention [PCI]) or asthma (ASM) and to improve medication adherence in African Americans with hypertension (HTN). In an initial qualitative phase, we explored participant values and beliefs. We next pilot tested and refined the intervention and then conducted 3 randomized controlled trials with parallel study design. Participants were randomized to combined PA/SA versus an informational control and were followed bimonthly for 12 months, assessing for health behaviors and interval medical events. RESULTS: Over 4.5 years, we enrolled 1,056 participants. Changes were sequentially made to the intervention during the qualitative and pilot phases. The 3 randomized controlled trials enrolled 242 participants who had undergone PCI, 258 with ASM, and 256 with HTN (n = 756). Overall, 45.1% of PA/SA participants versus 33.6% of informational control participants achieved successful behavior change (p = .001). In multivariate analysis, PA/SA intervention remained a significant predictor of achieving behavior change (p < .002, odds ratio = 1.66), 95% CI [1.22, 2.27], controlling for baseline negative affect, comorbidity, gender, race/ethnicity, medical events, smoking, and age. CONCLUSIONS: The EVOLVE method is a means by which basic behavioral science research can be translated into efficacious interventions for chronic disease populations.