Faculty Bibliography

Despite the efficacy of nicotine replacement therapy (NRT) in promoting smoking cessation, no studies have been done to evaluate NRT prescribing rates among immigrants, a vulnerable minority population in the United States. The aim of this study is to explore for differences in NRT prescribing behavior by immigrant status. Participants were enrolled in a smoking cessation trial for hospitalized patients between July 2011 and April 2014 at two NYC hospitals. For this analysis, we used baseline data from patient surveys and electronic medical-record reviews to examine associations between immigrant status and prescription of NRT in-hospital and on discharge, as well as acceptance of NRT in-hospital. We included age, gender, education, health literacy, race, ethnicity, English language ability, inpatient service, and site insurance in the models as potential confounders. Our study population included 1,608 participants, of whom 21% were not born in the United States. Bivariate analysis found that nonimmigrants were more likely than immigrants to be prescribed NRT in the hospital (46.1% vs. 35.7%, p = .0006) and similarly on discharge (19.4% vs. 15.3%, p = .09). Both groups were equally likely to accept NRT in-hospital when prescribed. On multivariable analysis, being an immigrant (OR 0.65), Black race (OR 0.52), and Hispanic ethnicity (OR 0.63) were associated with lower likelihood of being prescribed NRT in-hospital. Multivariable analysis for provision of NRT prescription at discharge showed no significant difference between immigrants and nonimmigrants. These findings show differences in in-hospital smoking cessation treatment between immigrants and nonimmigrants.

Brazil was a low and middle-income country (LMIC) in the late-1980s when it implemented a robust national tobacco-control program (NTCP) amidst rapid gains in national incomes and gender equality. We assessed changes in smoking prevalence between 1989 and 2013 by education level and related these changes to trends in educational inequalities in smoking. Data were from four nationally representative cross-sectional surveys (1989, n = 25,298; 2003 n = 3845; 2008 n = 28,938; 2013 n = 47,440, ages 25-69 years). We estimated absolute (slope index of inequality, SII) and relative (relative index of inequality, RII) educational inequalities in smoking prevalence, separately for males and females. Additional analyses stratified by birth-cohort to assess generational differences. Smoking declined significantly between 1989 and 2013 in all education groups but declines in females were steeper in higher-educated groups. Consequently, both absolute and relative educational inequalities in female smoking widened threefold between 1989 and 2013 (RII: 1.31 to 3.60, SII: 5.3 to 15.0), but absolute inequalities widened mainly until 2003 (SII: 15.8). Conversely, in males, declines were steeper in higher-educated groups only relative terms. Thus, relative educational inequalities in male smoking widened between 1989 and 2013 (RII: 1.58 to 3.19) but mainly until 2008 (3.22), whereas absolute inequalities were unchanged over the 24-year period (1989: 21.1 vs. 2013: 23.2). Younger-cohorts (born ≥1965) had wider relative inequalities vs. older-cohorts at comparable ages, particularly in the youngest female-cohorts (born 1978-1988). Our results suggest that younger lower-SES groups, especially females, may be particularly vulnerable to differentially higher smoking uptake in LMICs that implement population tobacco-control efforts amidst rapid societal gains.

Introduction: The use of electronic cigarettes (e-cigarettes) in smokers with mental health conditions (MHC) is not well understood. Aims: This study aims to compare e-cigarette users and non-users among veteran smokers with MHC to characterize differences in smoking behavior, motivation to quit, psychological distress, primary psychiatric diagnosis, and other factors. Methods: Baseline survey data were used from a randomized smoking cessation trial enrolling smokers with MHC from four Veterans Health Administration hospitals. Participants were categorized as current, former (having ever tried an e-cigarette), or never e-cigarette users. Pearson's chi2 and

OBJECTIVES/OBJECTIVE:To explore: (A) the underlying motivators and barriers to smoking cessation among young Arabic speaking smokers and (B) to examine the suitability and preferences for tobacco cessation interventions (specifically text messages) and study the possibility of enrollment methods for a randomised controlled study using text messages as an intervention for tobacco cessation. DESIGN/METHODS:Qualitative research using focus group discussions and content analysis. SETTINGS/METHODS:Two universities, one of them is the first and foremost comprehensive national university in the United Arab Emirates (UAE). The third setting is the largest hospital in the UAE and the flagship institution for the public health system in the emirate of Abu Dhabi. PARTICIPANTS/METHODS:Six focus group discussions with a total of 57 participants. Forty-seven men and 10 women. Fifty-three of them were current smokers. RESULTS:The analysis of six focus groups was carried out. Main themes arose from the data included: preferences for tobacco cessation interventions and acceptability and feasibility of text messaging as tobacco cessation intervention. Different motives and barriers for quitting smoking including shisha and dokha were explored. CONCLUSION/CONCLUSIONS:Interventions using text messaging for smoking cessation have not been used in the Middle East and they could potentially be effective; however, tailoring and closely examining the content and acceptability of text messages to be used is important before the conduction of trials involving their use. Social media is perceived to be more effective and influential, with a higher level of penetration into communities of young smokers.

Background/UNASSIGNED:Study coordinators play an essential role on study teams; however, there remains a paucity of research on the supports and services they need to effectively recruit and retain study participants. Methods/UNASSIGNED:A cross-sectional survey was conducted with 147 study coordinators from a large academic medical center. Survey items assessed barriers and facilitators to recruitment and retention, anxiety about reaching enrollment numbers, confidence for talking to potential study participants about research involvement, awareness and use of CTSA resources, and PI involvement with recruitment planning. Results/UNASSIGNED:Significant associations were found between anxiety about reaching target enrollment numbers and whether the study coordinator was the primary person responsible for developing a recruitment strategy. Three years or more serving as a study coordinator and levels of anxiety for reaching enrollment numbers was also significant. Conclusion/UNASSIGNED:More institutional level supports and formal training opportunities are needed to enhance study coordinators' effectiveness to recruit participants.

INTRODUCTION/BACKGROUND:In 2003, the Veterans Health Administration (VHA) implemented a directive that cessation pharmacotherapy be made available to all who use tobacco and are interested in quitting. Despite the efficacy of cessation pharmacotherapy shown in clinical trials, the generalisability of the results in real-world settings has been challenged. Hence, the specific aim of this study was to determine the effectiveness of cessation pharmacotherapies in the VHA. METHODS:This retrospective cohort study used VHA's electronic medical record data to compare quit rates among those who use tobacco and who did vs. did not receive any type of cessation pharmacotherapy. Included were 589 862 Veterans identified as current tobacco users during fiscal year 2011 who had not received cessation pharmacotherapy in the prior 12 months. Following a 6-month period to assess treatment, quit rates among those who were treated versus untreated were compared during the 7-18 months (12 months) post-treatment follow-up period. The estimated treatment effect was calculated from a logistic regression model adjusting for inverse probability of treatment weights (IPTWs) and covariates. Marginal probabilities of quitting were also obtained among those treated versus untreated. RESULTS:Adjusting for IPTWs and covariates, the odds of quitting were 24% higher among those treated versus untreated (OR=1.24, 95% CI 1.23 to 1.25, p<0.001). The marginal probabilities of quitting were 16.7% for the untreated versus 19.8% for the treated based on the weighted model. CONCLUSION/CONCLUSIONS:The increased quit rates among Veterans treated support the effectiveness and continuation of the VHA tobacco cessation pharmacotherapy policy.

BACKGROUND AND AIMS/OBJECTIVE:Cost-effectiveness studies in randomized clinical trials have shown that tobacco cessation pharmacotherapy is among the most cost-effective of health care interventions. Clinical trial eligibility criteria and treatment protocols may not be followed in actual practice. This study aimed to determine whether tobacco cessation pharmacotherapy is cost-effective in real-world settings. DESIGN/METHODS:A retrospective analysis of costs and outcomes SETTING: Hospitals and clinics of the US Veterans Health Administration, USA. PARTICIPANTS/METHODS:A total of 589,862 US veterans who screened positive for tobacco use in 2011. INTERVENTION AND COMPARATOR/UNASSIGNED:Tobacco users who initiated smoking cessation pharmacotherapy in the 6 months after screening were compared with those who did not use pharmacotherapy in this period. Pharmacotherapy included nicotine replacement theapy, bupropion (if prescribed at 300 mg per day or specifically for tobacco cessation), or varenicline. MEASURES/METHODS:Effectiveness was determined from responses to a subsequent tobacco screening conducted between 7 and 18 months after the treatment observation period. Cost of medications and prescribing health care encounters was determined for the period between initial and follow-up tobacco use screening. Multivariate fixed -effects regression was used to assess the effect of initial treatment status on cost and outcome while controlling for differences in case-mix with propensity weighting to adjust for confounding by indication. FINDINGS/RESULTS:13.0% of participants received tobacco cessation pharmacotherapy within 6 months of initial screening. After an average of an additional 218 days follow-up, those who initially received pharmacotherapy incurred $144 in additional treatment cost and had a 3.1% absolute increase in tobacco quit rates compared with those who were not initially treated. This represents an incremental cost-effectiveness ratio of $4,705 per quit. The upper limit of the 99.9% confidence region was $5,600 per quit. Without propensity adjustment, the cost-effectiveness ratio was $7,144 per quit, with the upper limit of the 99.9% confidence region $9,500/quit. CONCLUSIONS:Tobacco cessation pharmacotherapy provided by the US Veterans Health Administration in 2011/12 was cost-effective in this real-world setting, with an incremental cost-effectiveness ratio of $4,705 per quit.

Incense burning is common worldwide and produces environmental toxicants that may influence health; however, biologic effects have been little studied. In 303 Emirati adults, we tested the hypothesis that incense use is linked to compositional changes in the oral microbiota that can be potentially significant for health. The oral microbiota was assessed by amplification of the bacterial 16S rRNA gene from mouthwash samples. Frequency of incense use was ascertained through a questionnaire and examined in relation to overall oral microbiota composition (PERMANOVA analysis), and to specific taxon abundances, by negative binomial generalized linear models. We found that exposure to incense burning was associated with higher microbial diversity (p < 0.013) and overall microbial compositional changes (PERMANOVA, p = 0.003). Our study also revealed that incense use was associated with significant changes in bacterial abundances (i.e. depletion of the dominant taxon Streptococcus), even in occasional users (once/week or less) implying that incense use impacts the oral microbiota even at low exposure levels. In summary, this first study suggests that incense burning alters the oral microbiota, potentially serving as an early biomarker of incense-related toxicities and related health consequences. Although a common indoor air pollutant, guidelines for control of incense use have yet to be developed.

INTRODUCTION/BACKGROUND:Female veterans smoke cigarettes at high rates compared with both male veterans and nonveteran women. Proactive outreach to smokers may reduce gender disparities in cessation care. The objectives of this study were to compare baseline experiences with VA smoking cessation care for men and women and to assess for gender differences in response to a proactive outreach intervention. METHODS:We conducted a post hoc subgroup analysis of a pragmatic, multisite randomized, controlled trial comparing proactive outreach with usual care (UC). Baseline experiences included physician advice to quit, satisfaction with care, and past-year treatment use. At the 1-year follow-up, treatment use, quit attempts, and 6-month prolonged abstinence for women and men randomized to proactive outreach versus UC were compared using logistic regression. RESULTS:Baseline and follow-up surveys were returned by 138 women and 2,516 men. At baseline, women were less likely than men to report being very or somewhat satisfied with the process of obtaining smoking cessation medications in the VA (47% of women vs. 62% of men), but no less likely to report having used cessation medications from the VA in the past year (39% of women vs. 34% of men). After the intervention, phone counseling and combined therapy increased among both women and men in proactive outreach as compared with UC. At the 1-year follow-up, men in proactive outreach were significantly more likely to report prolonged abstinence than those in UC (odds ratio, 1.65; 95% CI, 1.28-2.14); results for women were in the same direction but not statistically significant (odds ratio, 1.39; 95% CI, 0.48-3.99). CONCLUSIONS:Satisfaction with cessation care in VA remains low. Proactive outreach to smokers was associated with an increased use of cessation therapies, and increased odds of achieving prolonged abstinence. A subgroup analysis by gender did not reveal significant differences in the treatment effect.

INTRODUCTION/BACKGROUND:Over one-third of American adults have obesity with increased risk of chronic disease. Primary care providers often do not counsel patients about weight management due to barriers such as lack of time and training. To address this problem, we developed a technology-assisted health coaching intervention called Goals for Eating and Moving (GEM) to facilitate obesity counseling within the patient-centered medical home (PCMH) model of primary care. The objective of this paper is to describe the rationale and design of a cluster-randomized controlled trial to test the GEM intervention when compared to Enhanced Usual Care (EUC). METHOD/METHODS:We have randomized 19 PCMH teams from two NYC healthcare systems (VA New York Harbor Healthcare System and Montefiore Medical Group practices) to either the GEM intervention or EUC. Eligible participants are English and Spanish-speaking primary care patients (ages 18-69 years) with obesity or who are overweight with comorbidity (e.g., arthritis, sleep apnea, hypertension). The GEM intervention consists of a tablet-delivered goal setting tool, a health coaching visit and telephone calls for patients and provider counseling training. Patients in the EUC arm receive health education materials. The primary outcome is mean weight loss at 1 year. Secondary outcomes include changes in waist circumference, diet, and physical activity. We will also examine the impact of GEM on obesity-related provider counseling competency and attitudes. CONCLUSION/CONCLUSIONS:If GEM is found to be efficacious, it could provide a structured approach for improving weight management for diverse primary care patient populations with elevated cardiovascular disease risk.