A.E. Rand

Medical student mentorship in radiation oncology at a single academic institution: A 10-year analysis

PURPOSE Mentorship has been identified by medical students, residents, and faculty as an important component of specialty selection and research productivity in radiation oncology. This study quantitatively analyzes the impact of a mentorship program in radiation oncology targeted to medical students at our institution. METHODS AND MATERIALS We performed a retrospective review of 76 current or former medical students who were mentored by faculty radiation oncologists at our institution between 2004 and 2013. Data were collected from the medical schools Office of Student Affairs and from internal departmental records. Mentees were organized by mentorship tracks, which included a clinical track and a research track. For each track, data were compiled and analyzed for student specialty selection, and Fisher exact tests were used to determine the relative significance of exposure to clinical, research, or both tracks on student likelihood of pursuing residency in radiation oncology relative to other specialties. We further tracked the research productivity of mentees in the program, as determined by the number publications that were coauthored by mentees and mentors each year. RESULTS The absolute number of mentees has grown each year, with a total of 76 mentees, including 58 alumni, at the end of 2013. Mentees in the program have produced a total of 53 manuscripts, given 75 presentations at national conferences, and received numerous national and internal medical school research awards. Of the 58 alumni, 17 (29.3%) applied to and matched into radiation oncology residencies. Alumni of both the research and the clinical track were 5.76 (P < .01) times more likely to enter a radiation oncology residency program than the average single-track alumnus. CONCLUSIONS Mentorship in medical school is an important factor in the development of future radiation oncologists. These results demonstrate the positive impact mentorship has on specialty selection and research productivity.

Patient Demographic Characteristics and Disease Stage as Drivers of Disparities in Mortality in Prostate Cancer Patients Who Receive Care at a Safety Net Academic Medical Center

INTRODUCTION The purpose of this study was to examine the effect of patient demographic characteristics and tumor stage at diagnosis on mortality in prostate cancer patients who receive care at a safety net, academic medical center with a diverse patient population. PATIENTS AND METHODS Eight hundred sixty-nine patients were diagnosed with prostate cancer at our institution between August 2004 and October 2011. Patient demographic characteristics were determined as follows: race and/or ethnicity, primary language, insurance type, age at diagnosis, marital status, income (determined by zip code), and American Joint Committee on Cancer (AJCC) tumor stage. Fisher exact or Pearson χ(2) test was used to test for differences in categorical variables. Multivariate logistic regression analysis was performed to identify factors related to mortality recorded at the end of follow-up in March of 2012. RESULTS Mortality was significantly decreased in patients who spoke Haitian Creole (odds ratio [OR], 0.18; 95% confidence interval [CI], 0.04-0.74; P = .017). Distribution of insurance type, age, income, and prostate-specific antigen level differed between English and Haitian Creole speakers. Increased mortality was observed in patients who were single (OR, 1.99; 95% CI, 1.06-3.73; P = .032), older than 70 (OR, 15.5; 95% CI, 3.03-79.45; P = .001), had Medicaid and/or free care (OR, 4.98; 95% CI, 1.72-14.4; P = .003), or had AJCC stage IV cancer (OR, 9.56; 95% CI, 4.89-18.69; P < .001). There was no significant difference in mortality according to race and/or ethnicity or income in the multivariate-adjusted model. CONCLUSION In this retrospective study, prostate cancer patients who spoke Haitian Creole had a lower incidence of mortality compared with English speakers. Consistent with similar large-scale studies, being single or having Medicaid and/or free care insurance predicted worse outcomes, reinforcing their roles as drivers of disparities.

Impact of patient demographics, tumor characteristics, and treatment type on treatment delay throughout breast cancer care at a diverse academic medical center

Purpose and objective The aim of this study was to examine the impact of patient demographics, tumor characteristics, and treatment type on time to treatment (TTT) in patients with breast cancer treated at a safety net medical center with a diverse patient population. Patients and methods A total of 1,130 patients were diagnosed and treated for breast cancer between 2004 and 2014 at our institution. We retrospectively collected data on patient age at diagnosis, race/ethnicity, primary language spoken, marital status, insurance coverage, American Joint Committee on Cancer (AJCC) stage, hormone receptor status, and treatment dates. TTT was determined from the date of breast cancer biopsy to treatment start date. Nonparametric Mann–Whitney U-test (or Kruskal–Wallis test when appropriate) and multivariable quantile regression models were employed to assess for significant differences in TTT associated with each factor. Results Longer median TTT was noted for Black (P=0.002) and single (P=0.002) patients. AJCC stage IV patients had shorter TTT (27.5 days) compared to earlier AJCC patients (36, 35, 37, 37 days for stage 0, I, II, III, respectively), P=0.028. Age, primary language spoken, insurance coverage, and hormone receptor status had no significant impact on TTT. On multivariate analysis, race/ethnicity remained the only significant factor with Black reporting longer TTT, P=0.025. However, race was not a significant factor for time from first to second treatment. More Black patients were noted to be single (P<0.0001) and received chemotherapy as first treatment (P=0.008) compared to White, Hispanic, or other race/ethnicity patients. Conclusion In this retrospective analysis, Black patients had longer TTT, were more likely to receive chemotherapy as first treatment, and have a single marital status. These patient factors will help identify vulnerable patients and guide further research to understand the barriers to care and the impact of treatment delays on outcomes.