Faculty Bibliography

Meeting the mental health needs of our current veteran population is one of the primary challenges facing the Veteran's Health Administration (VHA). Particularly for veterans residing in rural areas, the lack of providers, high provider turnover, and the burden of traveling long distances to VHA facilities may contribute to difficulties accessing mental health care. Telemental Health (TMH) services help bridge the geographic gap between mental health providers and veterans who need mental health services. The VHA TMH Hub initiative has attempted to leverage changes in technology-facilitated care by developing a model in which a facility "hub" could expand mental health resources to remote "spoke" clinics and veterans' residences. This paper describes the implementation of the VA New York Harbor Health care System (VA NYH) TMH Hub, which was one of 6 programs funded by the VHA Office of Rural Health (ORH) in September 2016. We will describe the structure of the program, services provided, veterans served, and our efforts to integrate quality improvement, research, and clinical training into the operations of the program. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

BACKGROUND:People with a psychiatric diagnosis smoke at high rates, yet are rarely treated for tobacco use. Health care systems often use a 'no treatment' default for tobacco, such that providers must actively choose (opt-in) to treat their patients who express interest in quitting. Default bias theory suggests that opt-in systems may reinforce the status quo to not treat tobacco use in psychiatry. We aim to conduct a pilot study testing an opt-out system for implementing a 3A's (ask, advise, assist) tobacco treatment model in outpatient psychiatry. METHODS:We will use a mixed-methods, cluster-randomized study design. We will implement a tobacco use clinical reminder for outpatient psychiatrists at the VA New York Harbor Healthcare System. Psychiatrists (N = 20) will be randomized 1:1 to one of two groups: (1) Opt-In Treatment Approach: Psychiatrists will receive a reminder that encourages them to offer cessation medications and referral to cessation counseling; or (2) Opt-Out Treatment Approach: Psychiatrists will receive a clinical reminder that includes a standing cessation medication order and a referral to cessation counseling that will automatically generate unless the provider cancels. Prior to implementation of the reminders, we will hold a 1-hour training on tobacco treatment for psychiatrists in both arms. We will use VA administrative data to calculate the study's primary outcomes: 1) the percent of smokers prescribed a cessation medication and 2) the percent of smokers referred to counseling. During the intervention period, we will also conduct post-visit surveys with a cluster sample of 400 patients (20 per psychiatrist) to assess psychiatrist fidelity to the 3 A's approach and patient perceptions of the opt-out system. At six months, we will survey the clustered patient sample again to evaluate the study's secondary outcomes: 1) patient use of cessation treatment in the prior 6 months and 2) self-reported 7-day abstinence at 6 months. At the end of the intervention period, we will conduct semi-structured interviews with 12-14 psychiatrists asking about their perceptions of the opt-out approach. DISCUSSION/CONCLUSIONS:This study will produce important data on the potential of opt-out systems to overcome barriers in implementing tobacco use treatment in outpatient psychiatry. TRIAL REGISTRATION/BACKGROUND:Clinicaltrials.gov Identifier NCT04071795 (registered August 28, 2019). https://www.clinicaltrials.gov/ct2/show/NCT04071795.

INTRODUCTION AND OBJECTIVE/OBJECTIVE:Cigarette smoking is the leading modifiable risk factor for several genitourinary (GU) malignancies. Although smoking cessation after GU cancer diagnosis is a critical component of survivorship, factors related to continued smoking are understudied. METHODS:A cross-sectional analysis was conducted using data from the NHIS (2014-2018). Our primary study outcome was the prevalence and correlates of cigarette smoking among adults with history of smoking-related (kidney or bladder) urologic cancer compared with a nonsmoking-related control (prostate cancer). We used regression analyses to assess the association of having a smoking-related GU cancer history with continued cigarette smoking after diagnosis. Secondary outcomes were yearly smoking trends, quit attempts and reported receipt of smoking cessation counseling. RESULTS:A total of 2,664 respondents reported a history of a GU cancer, representing weighted estimates of 990,820 (smoking-related GU cancer) and 2,616,596 (prostate cancer) adults. Survivors of smoking-related GU cancers had a significantly higher overall prevalence of current cigarette use (14.8% vs 8.6%, p <0.001) and also reported more frequent receipt of counseling (79.8% vs 66.2%, p=0.02) but did not attempt to quit any more often than those with prostate cancer (52.4% vs 47.2%, p=0.44). Time trends demonstrated stable and persistent cigarette use among survivors of all GU cancers. After adjustment for sociodemographic confounders, cancer type was not associated with current cigarette smoking (OR 1.23, 95% CI 0.86-1.77). However, older age and more advanced educational attainment were associated with lower odds of current cigarette smoking while single marital status was associated with higher odds. CONCLUSIONS:In this population-based cross-sectional study of survivors of GU cancers, those with a reported smoking-related GU cancer had a higher prevalence of current cigarette smoking compared to prostate cancer, our nonsmoking related control. Those with smoking-related GU cancers reported more frequent receipt of smoking cessation counseling.

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.

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.

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.

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.

INTRODUCTION/BACKGROUND:Race, ethnicity, and socioeconomic status are known to influence staging and survival in colorectal cancer (CRC). It is unclear how these relationships are affected by geographic factors and changes in insurance coverage for CRC screening. We examined the temporal trends in the association between sociodemographic and geographic factors and staging and survival among Medicare beneficiaries. METHODS:We identified patients 65 years or older with CRC using the 1991-2010 Surveillance, Epidemiology, and End Results-Medicare database and extracted area-level sociogeographic data. We constructed multinomial logistic regression models and the Cox proportional hazards models to assess factors associated with CRC stage and survival in 4 periods with evolving reimbursement and screening practices: (i) 1991-1997, (ii) 1998-June 2001, (iii) July 2001-2005, and (iv) 2006-2010. RESULTS:We observed 327,504 cases and 102,421 CRC deaths. Blacks were 24%-39% more likely to present with distant disease than whites. High-income areas had 7%-12% reduction in distant disease. Compared with whites, blacks had 16%-21% increased mortality, Asians had 32% lower mortality from 1991 to 1997 but only 13% lower mortality from 2006 to 2010, and Hispanics had 20% reduced mortality only from 1991 to 1997. High-education areas had 9%-12% lower mortality, and high-income areas had 5%-6% lower mortality after Medicare began coverage for screening colonoscopy. No consistent temporal trends were observed for the associations between geographic factors and CRC survival. DISCUSSION/CONCLUSIONS:Disparities in CRC staging and survival persisted over time for blacks and residents from areas of low socioeconomic status. Over time, staging and survival benefits have decreased for Asians and disappeared for Hispanics.

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.