Faculty Bibliography

BACKGROUND:Tobacco-use among cancer survivors leads to preventable morbidity, mortality, and increased healthcare costs. We sought to explore the prevalence of smoking and e-cigarette use among survivors of tobacco and non-tobacco related cancers. METHODS:A cross-sectional analysis was conducted using the 2015-2018 National Health Interview Survey. Our primary outcome was the prevalence of current cigarette smoking or e-cigarette use among adults with self-reported history of tobacco related or non-tobacco related cancer. Logistic regression analysis was to assess the association of reported cancer type with cigarette smoking or e-cigarette use. Secondary outcomes included yearly trends and dual use. RESULTS:A total of 12,984 respondents reported a history of cancer, representing a weighted estimate of 5,060,059 individuals with a history of tobacco-related malignancy and 17,583,788 with a history of a tobacco and non-tobacco related cancer, respectively. Survivors of tobacco-related cancers had a significantly higher prevalence of current cigarette use (18.2 % vs 9.7 %, P < 0.0001), e-cigarette use (2.7 % vs 1.6 %, P < 0.0001) and similar rates of dual use. The prevalence of cigarette smoking among all survivors increased as time increased from the year of diagnosis up to 2 years post-diagnosis (P = 0.047). Odds of reporting current cigarette smoking use was higher for survivors of tobacco-related cancers, adjusted for sociodemographic factors (OR1.69, 95 % CI 1.44-1.99). CONCLUSIONS:Survivors of tobacco-related cancers have a higher prevalence of current cigarette smoking and e-cigarette use compared to survivors of non-tobacco related cancers. There was a sequential increase in the prevalence of cigarette use during each subsequent year from the time of a new cancer diagnosis, underscoring the need for long term tobacco cessation support among newly diagnosed adults with cancer.

INTRODUCTION/BACKGROUND:). Clinical guidelines recommend multicomponent lifestyle programmes to promote modest, clinically significant body mass (BM) loss. Primary care providers (PCPs) often lack time to counsel and refer patients to intensive programmes (≥6 sessions over 3 months). Using peer coaches to deliver obesity counselling in primary care may increase patient motivation, promote behavioural change and address the specific needs of veterans. We describe the rationale and design of a cluster-randomised controlled trial to test the efficacy of the Peer-Assisted Lifestyle (PAL) intervention compared with enhanced usual care (EUC) to improve BM loss, clinical and behavioural outcomes (aim 1); identify BM-loss predictors (aim 2); and increase PCP counselling (aim 3). METHODS AND ANALYSIS/UNASSIGNED:We are recruiting 461 veterans aged 18-69 years with obesity or overweight with an obesity-associated condition under the care of a PCP at the Brooklyn campus of the Veterans Affairs NY Harbor Healthcare System. To deliver counselling, PAL uses in-person and telephone-based peer support, a tablet-delivered goal-setting tool and PCP training. Patients in the EUC arm receive non-tailored healthy living handouts. In-person data collection occurs at baseline, month 6 and month 12 for patients in both arms. Repeated measures modelling based on mixed models will compare mean BM loss (primary outcome) between study arms. ETHICS AND DISSEMINATION/UNASSIGNED:The protocol has been approved by the Institutional Review Board and the Research and Development Committee at the VA NY Harbor Health Systems (#01607). We will disseminate the results via peer-reviewed publications, conference presentations and meetings with stakeholders. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT03163264; Pre-results.

PURPOSE/OBJECTIVE:Tobacco-use is a causative or exacerbating risk factor for benign and malignant urologic disease. However, it is not well known how often urologists screen for tobacco use and provide tobacco cessation treatment at the population level. Therefore, we sought to evaluate how often urologists see patients for tobacco-related diagnoses in the outpatient setting and how often these visits include tobacco-use screening and treatment. MATERIALS AND METHODS/METHODS:We used the National Ambulatory Medical Care Survey (NAMCS) public use files for the years 2014-2016 to identify all outpatient urology visits with adults 18 years and older. Clinic visit reasons were categorized according to diagnoses associated with the encounter: all urologic diagnoses, a tobacco-related urologic condition, or a urologic cancer. Our primary outcome was the percentage of visits during which tobacco screening was reported. Secondary outcomes included reported delivery of cessation counseling and provision of cessation pharmacotherapy. RESULTS:We identified 4,625 unique urologic outpatient encounters, representing a population-weighted estimate of 63.9 million visits over three years. Approximately a third of all urology visits were for a tobacco-related urologic diagnoses and 15% were for urologic cancers. An estimated 1.1 million visits over three years were with patients who identified as current tobacco users. Of all visits, 70% included tobacco screening. However, only 7% of visits with current smokers included counseling and only 3% were prescribed medications. No differences in screening and treatment were observed between visit types. CONCLUSIONS:Urologists regularly see patients for tobacco-related conditions and frequently, though not universally, screen patients for tobacco. However, urologists rarely offer counseling or cessation treatment. These findings may represent missed opportunities to decrease the morbidity associated with tobacco use.

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).

OBJECTIVE:Individuals with posttraumatic stress disorder (PTSD) smoke at higher rates compared to the general population and experience significant barriers to initiating cessation treatment. Proactive outreach addresses these barriers by directly engaging with smokers and facilitating access to treatment. The objective of the present study was to evaluate a proactive outreach intervention for increasing rates of treatment utilization and abstinence among veteran smokers with and without PTSD. METHOD/METHODS:= 1,583) a diagnosis of PTSD. Logistic regressions modeled cessation treatment utilization (counseling, nicotine replacement therapy [NRT], and combination treatment) and abstinence (7-day point prevalence and 6-month prolonged at 6- and 12-month follow-ups) among participants randomized to proactive outreach versus usual care in the PTSD and non-PTSD subgroups, respectively. RESULTS:= 1.61, [1.11, 2.34]). CONCLUSIONS:Proactive outreach increased treatment utilization and abstinence among smokers with and without PTSD. Smokers with PTSD may need additional facilitation to initiate cessation treatment but are receptive when it is offered proactively. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Introduction/UNASSIGNED:Smoking cessation after a cancer diagnosis can significantly improve treatment outcomes and reduce the risk of cancer recurrence and all-cause mortality. Aim/UNASSIGNED:We sought to measure the association between cancer diagnosis and subsequent smoking cessation. Methods/UNASSIGNED:. Our sample was composed of 7,286 adult smokers at the baseline representing an estimated 40.9 million persons. Smoking cessation rates after a diagnosis differed after a tobacco-related cancer (25.9%), a nontobacco-related cancer (8.9%), and no cancer diagnosis (17.9%). After adjustment, diagnosis with a tobacco-related cancer was associated with a higher odds of smoking cessation (OR 1.83, 95% CI 1.00-3.33) compared to no cancer diagnosis. Diagnosis with a nontobacco-related cancer was not significantly linked to smoking cessation (OR 0.52, 95% CI 0.48-1.45). Conclusion/UNASSIGNED:Diagnosis with a tobacco-related cancer is associated with greater odds of subsequent smoking cessation compared to no cancer diagnosis, suggesting that significant behavioral change may occur in this setting.

Advances in precision oncology, including RAS testing to predict response to epidermal growth factor receptor monoclonal antibodies (EGFR mAbs) in colorectal cancer (CRC), can extend patients' lives. We evaluated uptake and clinical use of KRAS molecular testing, guideline recommended since 2010, in the Veterans Affairs Healthcare System (VA).

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.