Faculty Bibliography

INTRODUCTION/BACKGROUND:Smoking is a key determinant of mortality among people living with HIV (PLWH). METHODS:To better understand the effects of smoking cessation interventions in PLWH, we conducted a pooled analysis of four randomized controlled trials of hospital-initiated smoking interventions conducted through the Consortium of Hospitals Advancing Research on Tobacco (CHART). In each study, cigarette smokers were randomly assigned to usual care or a smoking cessation intervention. The primary outcome was self-reported past 30-day tobacco abstinence at 6-month follow-up. Abstinence rates were compared between PLWH and participants without HIV and by treatment arm, using both complete-case and intention-to-treat analyses. Multivariable logistic regression was used to determine the effect of HIV status on 6-month tobacco abstinence and to determine predictors of smoking cessation within PLWH. RESULTS:Among 5550 hospitalized smokers, there were 202 (3.6%) PLWH. PLWH smoked fewer cigarettes per day and were less likely to be planning to quit than smokers without HIV. At 6 months, cessation rates did not differ between intervention and control groups among PLWH (28.9% vs. 30.5%) or smokers without HIV (36.1% vs. 34.1%). In multivariable regression analysis, HIV status was not significantly associated with smoking cessation at 6 months. Among PLWH, confidence in quitting was the only clinical factor independently associated with smoking cessation (OR 2.0, 95% CI = 1.4 to 2.8, p < .01). CONCLUSIONS:HIV status did not alter likelihood of quitting smoking after hospital discharge, whether or not the smoker was offered a tobacco cessation intervention, but power was limited to identify potentially important differences. IMPLICATIONS/CONCLUSIONS:PLWH had similar quit rates to participants without HIV following a hospital-initiated smoking cessation intervention. The findings suggest that factors specific to HIV infection may not influence response to smoking cessation interventions and that all PLWH would benefit from efforts to assist in quitting smoking. TRIAL REGISTRATION/BACKGROUND:(1) Using "warm handoffs" to link hospitalized smokers with tobacco treatment after discharge: study protocol of a randomized controlled trial: NCT01305928. (2) Web-based smoking cessation intervention that transitions from inpatient to outpatient: NCT01277250. (3) Effectiveness of smoking-cessation interventions for urban hospital patients: NCT01363245. (4) Effectiveness of Post-Discharge Strategies for Hospitalized Smokers (HelpingHAND2): NCT01714323.

Tobacco use is rarely addressed in community mental healthcare despite high patient smoking prevalence. Community mental health centers have systems in place that could be used to comprehensively address tobacco use. This study tested feasibility of, satisfaction with, and safety of proactive tobacco treatment (tobacco outreach to offer connection to tobacco cessation treatment). Behavioral health home patients who smoke were randomly assigned to usual care (UC; N = 11) or proactive care (PC; N = 9). All participants were called 3-months post-randomization for follow-up. PC patients reported high satisfaction with the program and experienced no adverse events or mental health symptom exacerbation during treatment. PC patients reported greater reductions in cigarettes per day, more quit attempts, and more cessation medication utilization than UC patients. Proactive outreach for tobacco cessation is feasible in a behavioral health home, acceptable to patients, and may reduce smoking heaviness and promote quit attempts.

GOALS/BACKGROUND/OBJECTIVE:Patients who "no-show" for colonoscopy or present with poor bowel preparation waste endoscopic resources and do not receive adequate examinations for colorectal cancer (CRC) screening. Using the Health Belief Model, we modified an existing patient education pamphlet and evaluated its effect on nonattendance rates and bowel preparation quality. STUDY/METHODS:We implemented a color patient education pamphlet to target individual perceptions about CRC and changed bowel preparation instructions to include a low-residue diet instead of the previous clear liquid diet. We compared the nonattendance rate over a 2-month period before and after the introduction of the pamphlet, allowing for a washout period during which pamphlet use was inconsistent. We compared the Boston Bowel Preparation Scale (BBPS) in 100 consecutive patients who underwent colonoscopy during each of the 2 periods. RESULTS:Baseline characteristics between the 2 groups were similar, although patients who received the pamphlet were younger (P=0.03). The nonattendance rate was significantly lower in patients who received the pamphlet (13% vs. 21%, P=0.01). The percentage of patients with adequate bowel preparation increased from 82% to 86% after introduction of the pamphlet, although this was not statistically significant (P=0.44). The proportion of patients with a BBPS score of 9 was significantly higher in the pamphlet group (41% vs. 27%, P=0.03). There was no difference in adenoma and sessile serrated adenoma detection rates before and after pamphlet implementation. CONCLUSIONS:After implementing a theory-based patient education intervention with a low-residue diet, our absolute rate for colonoscopy nonattendance decreased by 8% and the proportion of patients with a BBPS score of 9 increased by 14%. The Health Belief Model appears to be a useful construct for CRC screening interventions.

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.

Background/UNASSIGNED:Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder. Methods/UNASSIGNED:A 49-item semi-structured survey was conducted among urban, inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences. Results/UNASSIGNED:Participants were mostly male (91%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample. Mobile phone ownership was common (89%); with an average past-year turnover of 3 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular platforms to facilitate smoking cessation. Conclusions/UNASSIGNED:Despite concurrent AUD-OUD, most respondents had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. High turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population.

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

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.

Background/UNASSIGNED:Tobacco spending may exacerbate financial hardship in low-income populations by using funds that could go toward essentials. This study examined post-quit spending plans among low-income smokers and whether financial hardship was positively associated with motivation to quit in the sample. Methods/UNASSIGNED:= 410). Linear regression was used to examine the relationship between financial distress, food insecurity, smoking-induced deprivation (SID) and motivation to quit (measured on a 0-10 scale). We performed summative content analyses of open-ended survey questions to identify the most common plans among participants with and without SID for how to use their tobacco money after quitting. Results/UNASSIGNED:The top three spending plans among participants with and without SID were travel, clothing and savings. There were three needs-based spending plans unique to a small number of participants with SID: housing, health care and education. Conclusions/UNASSIGNED:Financial distress and food insecurity did not enhance overall motivation to quit, while smokers with SID were less motivated to quit. Most low-income smokers, including those with SID, did not plan to use their tobacco money on household essentials after quitting.

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.