Faculty Bibliography

OBJECTIVE:To determine if there is an association between patient race and physician time spent with the patient during outpatient urology consultations. METHODS:We identified all adult urology new outpatient visits in the National Ambulatory Medical Care Survey dataset for 2012-2016. Patient race was dichotomized as White or non-White. Our primary outcome was time spent during the visit between the patient and urologist. Using population-level weighting, we compared differences in mean time spent during visits with White and non-White patients. Mixed-effects linear regression was used to adjust for confounding factors and to account for clustering among individual physicians. Secondary outcomes included number of services provided and if ancillary providers were seen. RESULTS:Over the 5 year period, 1668 raw visits met criteria and were used to estimate 21million new outpatient urology visits nationwide. 80% of all visits were with White patients. Mean physician time spent among visits with white patients was 23.9 minutes and 24.4 minutes for non-White patients. There was no difference in number of services provided but visits with non-white patients were less likely to include an ancillary provider. After adjustment, there was no significant difference in mean time spent with the urologist among visits with White and non-White patients (difference 0.9 minutes, 95% CI: -0.6-2.4). There were also no differences in adjusted mean time spent among return visits or new visits for hematuria, urologic cancers, or BPH. CONCLUSION/CONCLUSIONS:We found no statistically significant difference in time spent with a urologist during outpatient office consultations between White and non-White patients.

BACKGROUND:Urologists frequently treat patients for tobacco-related conditions but infrequently engage in evidence-based practices (EBPs) that screen for and treat tobacco use. Improving the use of EBPs will help to identify smokers, promote cessation, and improve patients' health outcomes. METHODS:A prospective type I hybrid effectiveness-implementation study was performed to test the feasibility and effectiveness of using a multilevel implementation strategy to improve the use of tobacco EBPs. All urology providers at outpatient urology clinics within the Veterans Health Administration Greater Los Angeles and all patients presenting for a new urology consultation were included. The primary outcome was whether a patient was screened for tobacco use at the time of consultation. Secondary outcomes included a patient's willingness to quit, chosen quit strategy, and subsequent engagement in quit attempts. RESULTS:In total, 5706 consecutive veterans were seen for a new consultation during the 30-month study period. Thirty-six percent of all visits were for a tobacco-related urologic diagnosis. The percentage of visits that included tobacco use screening increased from 18% (before implementation) to 57% in the implementation phase and to 60% during the maintenance phase. There was significant provider-level variation in adherence to screening. Of all screened patients, 38% were willing to quit, and most patients chose a "cold turkey" method; 22% of the patients elected referral to a formal smoking cessation clinic, and 24% chose telephone counseling. Among those willing to quit, 39% and 49% made a formal quit attempt by 3 and 6 months, respectively. CONCLUSIONS:A strategy that includes provider education and a customized clinical decision support tool can facilitate provider use of tobacco EBPs in a surgery subspecialty clinic.

BACKGROUND:Enrollment in non-oncology clinical trials is often challenging and social determinants that may serve as motivators or barriers to clinical trial enrollment are largely unexplored. We sought to assess engagement in non-oncology clinical trials with a focus on social determinants of health as barriers or motivators toward participation. METHODS:A cross-sectional analysis of non-cancer respondents was conducted using the Health Information National Trends Survey (HINTS) administered in 2020. Our analytic cohort was comprised of respondents with no reported history of cancer. Our primary outcome of interest was trial engagement defined as receiving an invitation to participate in a clinical trial. Secondary outcomes included participation in a clinical trial and reported motivators and barriers to clinical trial participation. RESULTS:A total of 3113 respondents with no reported history of cancer were included. Overall, 8.1% of respondents reported being invited to participate in a clinical trial. Amongst those invited to participate, 47.7% reported participating in a clinical trial. Respondents reported that clinical trial participation was motivated "somewhat" or "a lot" by "wanting to get better" (80.5%), "helping other people" (61.4%), "physician encouragement" (60.6%), "getting a chance to try new care" (60.2%), "family friend encouragement" (54.2%), or "getting paid" (50.0%). Overall, 82.5% of all respondents "don't know anything" or have "a little knowledge" about clinical trials. Reported barriers to clinical trial participation including getting transportation, childcare or paid time off work (48.4%) and standard of care not covered by insurance (62.0%) influenced the decision to participate "somewhat" or "a lot." CONCLUSION/CONCLUSIONS:Amongst a nationally representative sample, non-oncology clinical trial invitation is low, but participation amongst those invited is nearly 50%. This highlights the need for clinician engagement in clinical trials. Identifying modifiable social determinants of non-oncologic clinical trial participation may help promote improved engagement.

Cancer survivors benefit from evidence-based smoking cessation treatment. A crucial first step in this process is a clinician recommending that the patient quit smoking. However, contemporary delivery of advice to quit among patients with cancer is not well known. In a cross-sectional analysis of all adult smokers included in a prospective population-representative study of US adults, we analyzed the frequency that patients reported receiving advice to quit smoking from a healthcare professional according to reported cancer history (no cancer, tobacco-related cancer, non-tobacco related cancer history). Among an estimated 28.3 million smokers, 9.3% reported a history of cancer, 48.8% of which were tobacco-related cancers. In general, advice to quit was reported by more (67.8%) cancer survivors than those adults without any cancer (56.0%). After adjustment for sociodemographic factors, smokers with a non tobacco-related cancer (0.51, 95% CI 0.32-0.83) and those without any cancer history (0.43, 95% CI 0.30-0.63) were both less likely to report being advised to quit smoking than patients with a tobacco-related cancer history.

PURPOSE/OBJECTIVE:Smoking has a strong causal association with bladder cancer but the relationship with recurrence is not well established. We sought to assess the association of smoking status on recurrence of non-muscle invasive bladder cancer (NMIBC) in a contemporary cohort of patients with predominantly high-risk, recurrent NMIBC managed with photodynamic enhanced cystoscopy. MATERIALS AND METHODS/METHODS:We performed a retrospective study of patients with NMIBC included in a multi-institutional registry. Our primary exposure of interest was smoking status. Our primary outcome was first recurrence of NMIBC. Kaplan-Meier analysis was used to calculate recurrence free probabilities and Cox proportional hazards regression was used to evaluate the impact of smoking status on recurrence free survival. RESULTS:Our analytic cohort included 723 adults with bladder cancer, 11.5% with primary NMIBC and 88.5% with recurrent NMIBC. The majority of patients were white, male, and had high-risk NMIBC (72.6%). 52.6% of included patients were former smokers and 12.7% were current smokers. During the three-year study period, there was a NMIBC recurrence in 259 of the 723 patients (35.8%). The 1- and 3-year probability of recurrence was 19% and 44%, respectively. The grade and stage of recurrences were 28.9% LG Ta, 34.4% HG Ta, 15.8% pure CIS, 0.3% LG T1, 15.4% HG T1, and 5.4% unknown. After adjustment for a priori clinical and demographic factors, smoking status had no significant association with recurrence. CONCLUSION/CONCLUSIONS:Smoking status was not significantly association with recurrence in a study of patients with predominantly high-risk recurrent NMIBC managed with photodynamic enhanced cystoscopy.

The association between tobacco use and urothelial cancer of the bladder is well known. Given the worsening tobacco epidemic, here we make the case for systematic targeted points of intervention for urologists and other professionals to intervene against bladder cancer. Awareness of contemporary checkpoints where we can intervene for counseling patients may help medical education in a tobacco-pandemic difficult setting.

CONTEXT/BACKGROUND:Use of electronic cigarettes (e-cigarettes) has rapidly increased despite unclear longitudinal health effects. Once thought to be a safer alternative to tobacco smoke, it is possible that e-cigarettes expose the user to similar carcinogenic byproducts during the vaping process. These toxicants are metabolized and excreted in the urine, and may have oncogenic implications for bladder urothelium. OBJECTIVE:To characterize and summarize known urinary carcinogenic biomarkers in e-cigarette users as they relate to the risk of developing bladder cancer. EVIDENCE ACQUISITION/METHODS:A systematic literature search was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and included PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials (CENTRAL). Relevant articles published in peer-reviewed journals, through January 2019, that reported on urinary biomarkers in e-cigarettes users were included. Parent compounds and urinary biomarkers were classified according to the International Agency for Research on Cancer Monographs on the Evaluation of Carcinogenic Risks to Humans and cross referenced using the Collaborative on Health and the Environment, Toxicant and Disease Database to determine a link to bladder cancer, grouped by strength of evidence. EVIDENCE SYNTHESIS/RESULTS:Our initial search identified 1385 articles, 22 of which met final inclusion criteria and were included for analysis. In summation, these studies described 40 different parent compounds and four metals found in the urine of e-cigarette users. Since each parent compound can be metabolized several different ways, 63 unique toxicant or carcinogenic metabolite biomarkers were identified. Compared with nonuser controls, e-cigarette users had higher concentrations of urinary biomarkers of several carcinogenic compounds linked to bladder cancer. The majority of studies were limited by heterogeneous reporting and a dearth of control individuals who had never smoked. CONCLUSIONS:Biomarkers of carcinogens, several with a strong link to bladder cancer, are present in the urine of e-cigarette users. Long-term implications of urothelial exposure to these toxicants are unknown but concerning, given the similarities to tobacco smoke and its established relationship with bladder cancer. Further study on the urological safety of e-cigarettes is necessary. PATIENT SUMMARY/UNASSIGNED:Our review shows that several carcinogens that have a known link to bladder cancer are present in the urine of electronic cigarette (e-cigarette) users. Further study on the urological safety of e-cigarettes is necessary.