Underrepresented Minorities in General Surgery Residency: Analysis of Interviewed Applicants, Residents, and Core Teaching Faculty

BACKGROUND: The Accreditation Council for Graduate Medical Education (ACGME) requires diversity in residency. The self-identified race/ethnicities of general surgery applicants, residents, and core teaching faculty were assessed to evaluate underrepresented minority (URM) representation in surgery residency programs and to determine the impact of URM faculty and residents on URM applicants\u27 selection for interview or match. STUDY DESIGN: Data from the 2018 application cycle were collated for 10 general surgery programs. Applicants without a self-identified race/ethnicity were excluded. URMs were defined as those identifying as black/African American, Hispanic/Latino/of Spanish origin, and American Indian/Alaskan Native/Native Hawaiian/Pacific Islander-Samoan. Statistical analyses included chi-square tests and a multivariate model. RESULTS: Ten surgery residency programs received 9,143 applications from 3,067 unique applicants. Applications from white, Asian, Hispanic/Latino, black/African American, and American Indian applicants constituted 66%, 19%, 8%, 7% and 1%, respectively, of those applications selected to interview and 66%, 13%, 11%, 8%, and 2%, respectively, of applications resulting in a match. Among programs\u27 272 core faculty and 318 current residents, 10% and 21%, respectively, were identified as URMs. As faculty diversity increased, there was no difference in selection to interview for URM (odds ratio [OR] 0.83; 95% CI 0.54 to 1.28, per 10% increase in faculty diversity) or non-URM applicants (OR 0.68; 95% CI 0.57 to 0.81). Similarly, greater URM representation among current residents did not affect the likelihood of being selected for an interview for URM (OR 1.20; 95%CI 0.90 to 1.61) vs non-URM applicants (OR 1.28; 95% CI 1.13 to 1.45). Current resident and faculty URM representation was correlated (r = 0.8; p = 0.005). CONCLUSIONS: Programs with a greater proportion of URM core faculty or residents did not select a greater proportion of URM applicants for interview. However, core faculty and resident racial diversity were correlated. Recruitment of racially/ethnically diverse trainees and faculty will require ongoing analysis to develop effective recruitment strategies

Underrepresented minorities are underrepresented among general surgery applicants selected to interview.

OBJECTIVE: Diversity is an ill-defined entity in general surgery training. The Accreditation Council for Graduate Medical Education recently proposed new common program requirements including verbiage requiring diversity in residency. Recruiting for diversity can be challenging within the constraints of geographic preference, type of program, and applicant qualifications. In addition, the Match process adds further uncertainty. We sought to study the self-identified racial/ethnic distribution of general surgery applicants to better ascertain the characteristics of underrepresented minorities (URM) within the general surgery applicant pool. DESIGN: Program-specific data from the Electronic Residency Application Service was collated for the 2018 medical student application cycle. Data were abstracted for all participating programs\u27 applicants and those selected to interview. Applicants who did not enter a self-identified race/ethnicity were excluded from analysis. URM were defined as those identifying as Black/African American, Hispanic/Latino/of Spanish origin, American Indian/Alaskan Native, or Native Hawaiian/Pacific Islander-Samoan. Appropriate statistical analyses were accomplished. SETTING: Ten general surgery residency programs-5 independent programs and 5 university programs. PARTICIPANTS: Residency applicants to the participating general surgery residency programs. RESULTS: Ten surgery residency programs received 10,312 applications from 3192 unique applicants. Seven hundred and seventy-eight applications did not include a self-identified race/ethnicity and were excluded from analysis. The racial/ethnic makeup of applicants in this study cohort was similar to that from 2017 to 2018 Electronic Residency Application Service data of 4262 total applicants to categorical general surgery. Programs received a median of 1085 (range: 485-1264) applications each and altogether selected 617 unique applicants for interviews. Overall, 2148 applicants graduated from US medical schools, and of those, 595 (28%) were offered interviews. The mean age of applicants was 28.8 ± 3.8 years and 1316 (41%) were female. Hispanic/Latino/of Spanish origin, Black, and American Indian/Alaskan Native/Hawaiian/Pacific Islander-Samoan applicants constituted 12%, 8%, and 1% of total applicants, but only 8%, 6%, and 1% of those selected for interview. Overall, 29% of applicants had United States Medical Licensing Examination (USMLE) Step 1 scores ≤220; 37 (6%) of those selected for interviews had a USMLE Step 1 score of ≤220. A higher proportion of URM applicants had USMLE scores ≤220 compared to White and Asian applicants. Non-white self-identification was a significant independent predictor of a lower likelihood of interview selection. Female gender, USMLE Step 1 score \u3e220, and graduating from a US medical school were associated with an increased likelihood of being selected to interview. CONCLUSIONS: URM applicants represented a disproportionately smaller percentage of applicants selected for interview. USMLE Step 1 scores were lower among the URM applicants. Training programs that use discreet USMLE cutoffs are likely excluding URM at a higher rate than their non-URM applicants. Attempts to recruit racially/ethnically diverse trainees should include program-level analysis to determine disparities and a focused strategy to interview applicants who might be overlooked by conventional screening tools

Epidemiologic factors and urogenital infections associated with preterm birth in a midwestern U.S. population

OBJECTIVE: To correlate epidemiologic factors with urogenital infections associated with preterm birth. METHODS: Pregnant women were sequentially included from four Wisconsin cohorts: large urban, midsize urban, small city, and rural city. Demographic, clinical, and current pregnancy data were collected. Cervical and urine specimens were analyzed by microscopy, culture, and polymerase chain reaction for potential pathogens. RESULTS: Six hundred seventy-six women were evaluated. Fifty-four (8.0%) had preterm birth: 12.1% (19/157) large urban, 8.8% (15/170) midsize urban, 9.4% (16/171) small city, and 2.3% (4/178) rural city. Associated host factors and infections varied significantly among sites. Urogenital infection rates, especially Mycoplasma hominis and Ureaplasma parvum, were highest at the large urban site. Large urban site, minority ethnicity, multiple infections, and certain historical factors were associated with preterm birth by univariable analysis. By multivariable analysis, preterm birth was associated with prior preterm birth (adjusted odds ratio [aOR] 2.76, 95% confidence interval [CI] 1.27-6.02) and urinary tract infection (aOR 2.62, 95% CI 1.32-519), and negatively associated with provider-assessed good health (aOR 0.42, 95% CI 0.23-0.76) and group B streptococcal infection treatment (surrogate for health care use) (aOR 0.38, 95% CI 0.15-.99). Risk and protective factors were similar for women with birth at less than 35 weeks, and additionally associated with M hominis (aOR 3.6, 95% CI 1.4-9.7). CONCLUSION: These measured differences among sites are consistent with observations that link epidemiologic factors, both environmental and genetic, with minimally pathogenic vaginal bacteria, inducing preterm birth, especially at less than 35 weeks of gestation. LEVEL OF EVIDENCE: II