Definitive treatment choice among Black immigrants with prostate cancer: Analysis of patient surveys distributed at a single safety-net institution.

BACKGROUND: Large-scale prostate cancer (PCa) database reviews have found a consistent discrepancy in the mortality rate in Black patients compared to their White counterparts. Furthermore, differences in PCa treatment and outcomes among Black men of different ethnic origins have also been identified. Due to the heterogeneity of PCa-impacted communities and the unclear impact of patient immigration status on treatment outcomes, we sought to determine the demographic factors associated with treatment choice for definitive treatment of PCa in our single institution's patient population of Black immigrants. METHODS: We distributed surveys to all patients in the Kings County Hospital Center urologic oncology clinic from February 2019 to February 2020 and collected relevant health information via EMR. The survey collected demographic information regarding age, education, health insurance, employment status, socioeconomic status, country of birth, and years living in the United States (US). RESULTS: Out of the 253 patients surveyed, the majority of patients surveyed were Black and foreign born. There were no significant differences in demographic data between US-born and foreign-born patients except number of years living in the United States. In the intermediate risk group, patients living in the United States for <10 years chose surgery significantly more often than US-born patients (90.9% vs. 50.0%, p = 0.036). On multivariate analysis, patients that chose surgery were more likely to be older when diagnosed (odds ratio [OR] = 1.21) and less likely to be born in the United States than in African or Caribbean countries (OR = 0.054). CONCLUSIONS: In our study of a majority-Black population, we found that patients born in the United States were less likely than their foreign counterparts to opt for surgery, as previous studies have shown. The choice of definitive treatment modality for Black men with intermediate risk PCa was found to be influenced by age at diagnosis and immigration status.

Catching a Big Fish with a Small Net: Factors Associated with First-Choice Match from Urology Residency Applicants' Self-Reported Data.

INTRODUCTION: We sought to determine the accuracy of self-reported urology applicant match data and determine which factors were most influential on successful application outcomes. METHODS: A publicly accessible Google spreadsheet entitled "Urology Residency Applicant Spreadsheet" containing self-reported urology residency applicant characteristics and match outcomes was analyzed for differences across the years 2017+2018 (pre-aggregated)-2020. These data were compared to published data from the American Urological Association and the Association of American Medical Colleges. Statistical modeling of the self-reported data was performed to determine which applicant characteristics were predictive of match outcomes. RESULTS: Averages of self-reported data were similar to published match data with a bias towards more competitive applicants. The factors associated with increased interview offer rate were: Step 1 score, Step 2 score, number of research items, class quartile, and Alpha Omega Alpha membership. Logistic regression modeling correctly predicted an applicant matching to their first-choice program with 74.7% accuracy, with significant negative predictors being the number of programs to which the applicant applied and interviews offered from waitlist or cancellations, and positive predictors being the number of interview offers received. CONCLUSIONS: Many applicants "apply broadly" with the goal of improving their match outcomes, but we found that applying to more programs is associated with a decreased likelihood of the applicant matching to their first-choice program. Applicant characteristics such as United States Medical Licensing Examination® scores were not related to first-choice match, suggesting that program selection, among other factors, is vital in the match process.