Faculty Bibliography

OBJECTIVE:To understand how to potentially improve inappropriate prostate cancer imaging rates we used National Comprehensive Cancer Network's (NCCN) guidelines to design and implement a Clinical Reminder Order Check (CROC) that alerts ordering providers of potentially inappropriate imaging orders in real-time based on patient features of men diagnosed with low-risk prostate cancer. METHODS:We implemented the CROC at VA New York Harbor Healthcare System (VANYHHS) from April 2, 2015 to November 15, 2017. We then used VA administrative claims from the VA's Corporate Data Warehouse to analyze imaging rates among men with low-risk prostate cancer at VHANYHHS before and after CROC implementation. We also collected and cataloged provider responses in response to overriding the CROC in qualitative analysis. RESULTS:57% (117/205) of Veterans before CROC installation and 73% (61/83) of Veterans post-intervention with low-risk prostate cancer received guideline-concordant care. CONCLUSION/CONCLUSIONS:While the decrease in inappropriate imaging during our study window was almost certainly due to many factors, a CPRS-based CROC intervention is likely associated with at least moderate improvement in guideline-concordant imaging practices for Veterans with low-risk prostate cancer.

BACKGROUND:Most hookah use studies have not included racial and ethnic minorities which limits our understanding of its use among these growing populations. This study aimed to investigate the individual characteristics of hookah use patterns and associated risk behaviors among an ethnically diverse sample of college students. METHODS:A cross-sectional survey of 2460 students (aged 18-25) was conducted in 2015, and data was analyzed in 2017. Descriptive statistics were used to present the sociodemographic characteristics, hookah use-related behavior, and binge drinking and marijuana use according to the current hookah use group, including never, exclusive, dual/poly hookah use. Multivariate logistic regression was conducted to examine how hookah related behavior and other risk behaviors varied by sociodemographics and hookah use patterns. RESULTS:Among current hookah users (n = 312), 70% were exclusive hookah users and 30% were dual/poly hookah users. There were no statistically significant differences in sociodemographic characteristics except for race/ethnicity (p < 0.05). Almost half (44%) of the exclusive hookah users reported having at least five friends who also used hookah, compared to 30% in the dual/poly use group. Exclusive users were less likely to report past year binge drinking (17%) and past year marijuana use (25%) compared to those in the dual/poly use group (44 and 48% respectively); p < 0.001. CONCLUSIONS:The socialization aspects of hookah smoking seem to be associated with its use patterns. Our study calls for multicomponent interventions designed to target poly tobacco use as well as other substance use that appears to be relatively common among hookah users.

INTRODUCTION/BACKGROUND:People with serious mental illness (SMI) have a high smoking prevalence and low quit rates. Few cessation treatments are tested in smokers with SMI. Mental health (MH) providers are reluctant to address smoking. Proactive tobacco cessation treatment strategies reach out directly to smokers to offer counseling and medication and improve treatment utilization and quit rates. The current study is a secondary analysis of a randomized controlled trial of proactive outreach for tobacco cessation treatment in VA MH patients. METHODS:Participants (N=1938, 83% male, mean age 55.7) across 4 recruitment sites, who were current smokers and had a MH visit in the past 12 months, were identified using the electronic medical record. Participants were randomized to Intervention (telephone outreach call plus invitation to engage in MH tailored telephone counseling and assistance obtaining nicotine replacement therapy [NRT]) or Control (usual care). The current study assessed outcomes in participants with SMI (N=982). RESULTS:Compared to the Control group, participants assigned to the Intervention group were more likely to engage in telephone counseling (22% vs. 3%) and use NRT (51% vs. 41%). Participants in the Intervention group were more likely to be abstinent (7-day point prevalence; 18%) at 12 months than participants in the Control group; 11%) but equally likely to make quit attempts. CONCLUSIONS:Proactive tobacco cessation treatment is an effective strategy for tobacco users with SMI. Proactive outreach had a particularly strong effect on counseling utilization. Future randomized clinical trials examining proactive tobacco treatment approaches in SMI treatment settings are needed. IMPLICATIONS/CONCLUSIONS:Few effective treatment models exist for smokers with serious mental illness. Proactive tobacco cessation outreach with connections to mental health tailored telephone counseling and medication promotes tobacco abstinence among smokers with serious mental illness and is an effective treatment strategy for this underserved population.

BACKGROUND:It is important to monitor the scope of clinical research of all types, to involve participants of all ages and subgroups in studies that are appropriate to their condition, and to ensure equal access and broad validity of the findings. OBJECTIVE:We conducted a review of clinical research performed at New York University with the following objectives: (1) to determine the utility of institutional administrative data to characterize clinical research activity; (2) to assess the inclusion of special populations; and (3) to determine if the type, initiation, and completion of the study differed by age. METHODS:Data for all studies that were institutional review board-approved between January 1, 2014, and November 2, 2016, were obtained from the research navigator system, which was launched in November 2013. One module provided details about the study protocol, and another module provided the characteristics of individual participants. Research studies were classified as observational or interventional. Descriptive statistics were used to assess the characteristics of clinical studies across the lifespan, by type, and over time. RESULTS:A total of 22%-24% of studies included children (minimum age <18 years) and 4%-5% focused exclusively on pediatrics. Similarly, 64%-72% of studies included older patients (maximum age >65 years) but only 5%-12% focused exclusively on geriatrics. Approximately 85% of the studies included both male and female participants. Of the remaining studies, those open only to girls or women were approximately 3 times as common as those confined to boys or men. A total of 56%-58% of projects focused on nonvulnerable patients. Among the special populations studied, children (12%-15%) were the most common. Noninterventional trial types included research on human data sets (24%), observational research (22%), survey research (16%), and biospecimen research (8%). The percentage of projects designed to test an intervention in a vulnerable population increased from 17% in 2014 to 21% in 2015. CONCLUSIONS:Pediatric participants were the special population that was most often studied based on the number of registered projects that included children and adolescents. However, they were much less likely to be successfully enrolled in research studies compared with adults older than 65 years. Only 20% of the studies were interventional, and 20%-35% of participants in this category were from vulnerable populations. More studies are exclusively devoted to women's health issues compared with men's health issues.

Background/UNASSIGNED:The impact of tobacco use on perioperative complications, hospital costs, and survivorship in total joint arthroplasty (TJA) is well established. The aim of this study is to report the impact of tobacco cessation on outcomes after TJA and to measure the impact of a voluntary smoking cessation program (SCP) on self-reported smoking quit rates in a premier academic medical center. Methods/UNASSIGNED:A seven-year (2013-2019) SCP database was provided by the Integrative Health Promotion Department and Infection Prevention and Control Department. We evaluated program and smoking status, patient demographics, length of stay (LOS), and 90-day post-operative infection rates and readmission rates. The primary outcome was quit rates based on SCP enrollment status. The secondary outcomes measured infection rates, readmission rates, and LOS based on enrollment status and/or quit rate. Results/UNASSIGNED:A total of 201 eligible patients were identified: 137 patients in the SCP (intervention) group and 64 in the self-treatment (control) group. SCP patients trended towards higher quit rates (43% vs 33%, p = 0.17), shorter LOS (2.47 vs 2.62 days, p = 0.52), lower infection rates (7.3% vs 12.5%, p = 0.27) and slightly higher readmission rates (5.8% vs 4.7%, p = 0.73). In a sub-analysis, self-reported smokers demonstrated statistically significant decrease in infection (3.7% vs 12.5%, p = 0.03). Conclusion/UNASSIGNED:There was a statistically significant decrease in infection rates in patients who self-reported quitting tobacco prior to TJA. Additionally, quit rates for patients who participated in a voluntary SCP trended towards increased pre-operative cessation. Further efforts to increase tobacco cessation prior to TJA and examine the impact on patient outcomes are needed.

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.

Background-Financial incentives for smoking cessation and use of evidence-based therapy may increase quit rates and reduce health and economic disparities. Methods-We randomized a low-income population of 182 hospitalized patients (mean age 58 years, 45% with high school education or less) to enhanced usual care, which included hospital-directed cessation care and Quitline referral, or enhanced usual care plus financial incentives. All patients received enhanced usual care, while participants randomized to the financial incentives group were also eligible to receive up to $550 for participation in Quitline counseling ($50), participation in a community-based cessation program ($50), use of pharmacotherapy ($50), and biochemically-confirmed smoking cessation at 2 months ($150) and 6 months ($250). Primary outcome was biochemically-confirmed smoking cessation at 6 months after hospital discharge. Results-Total mean payment was $84 (SD=$133) in the incentive group. The 6-month rate of biochemically-confirmed smoking cessation was 19.6% in the incentive group and 8.9% in the enhanced usual care group (odds ratio, 2.56; 95% CI, 0.84 to 7.83, P=0.10). Participants in the incentive group had higher rates of nicotine replacement therapy use (57.3% versus 31.3%, P=0.002). Financial incentives did not improve subjective social status but did increase financial stress. Conclusions-Rates of bioconfirmed smoking cessation were higher among hospitalized patients randomized to financial incentives compared to usual care alone, but the difference was not significant. Considering the frequency of low payouts and the importance of assistance for successful quitting, future studies should explore the effectiveness of financial incentives sufficiently large to overcome barriers to evidence-based therapy.

Background: Electronic dance music (EDM) party attendees are at high risk for use of various illegal drugs; however, little is known about their tobacco use. Understanding tobacco use patterns in this population at high risk for illegal drug use can inform multi-product interventions. Objectives: 954 EDM party attendees (ages 18-40) were surveyed in New York City in 2017. We estimated prevalence of use of cigarettes, hookah, cigars, other tobacco, and e-cigarettes and delineated correlates of current (past-month) use using bivariable and multivariable models. Results: Past-month use of cigarettes (36.2%), e-cigarettes (15.6%), cigars (12.5%), and hookah (11.7%) in particular was prevalent. In multivariable models, females were less likely to use e-cigarettes than males (adjusted prevalence ratio [aPR] = 0.63, p = .030), and those who attended graduate school were less likely to use cigarettes (aPR = 0.55, p = .003) and/or e-cigarettes (aPR = 0.33, p = .026). Past-year ecstasy/MDMA/Molly use was a risk factor for past-month use of cigarettes (aPR = 1.38, p = .013) and/or cigars (aPR = 1.61, p = .032), and past-year cocaine use was a risk factor for past-month use of cigarettes (aPR = 1.80, p < .001), cigars (aPR = 1.80, p = .013), other tobacco products (aPR = 3.05, p = .003), and/or e-cigarettes (aPR = 2.39, p = .003). 55.4% of ecstasy users and 60.3% of cocaine users were current cigarette smokers, but use of other products among users of these drugs was less prevalent (9.8-27.9%). Conclusions: Results suggest that current tobacco use is prevalent in this population who is also at high risk for use of drugs such as ecstasy and cocaine. Prevention and cessation efforts need to target tobacco users in this scene while incorporating components addressing illegal drug use.

Colorectal cancer (CRC) screening has increased substantially in New York City in recent years. However, screening uptake measured by telephone surveys may not fully capture rates among underserved populations. We measured screening completion within one year of a primary care visit among previously unscreened patients in a large urban safety-net hospital and identified sociodemographic and health-related predictors of screening. We identified 21,256 patients aged 50-75 who were seen by primary care providers (PCPs) in 2014, of whom 14,425 (67.9%) were not up-to-date with screening. Since PCPs facilitate the majority of screening, we compared patients who received screening within one year of an initial PCP visit to those who remained unscreened using multivariable logistic regression. Among patients not up-to-date with screening at study outset, 11.5% (1,658 patients) completed screening within one year of a PCP visit. Asian race, more PCP visits, and higher area-level income were associated with higher screening completion. Factors associated with remaining unscreened included morbid obesity, ever smoking, Elixhauser comorbidity index of 0, and having Medicaid/Medicare insurance. Age, sex, language, and travel time to the hospital were not associated with screening status. Overall, 39.9% of patients were up-to-date with screening by 2015. In an underserved urban population, CRC screening disparities remain, and overall screening uptake was low. Since more PCP visits were associated with modestly higher screening completion at one year, additional community-level education and outreach may be crucial to increase CRC screening in underserved populations.