Reducing implicit bias in the neurosurgery application and interview process: a single-institution experience.

OBJECTIVE: The neurosurgical match is a challenging process for applicants and programs alike. Programs must narrow a wide field of applicants to interview and then determine how to rank them after limited interaction. To streamline this, programs commonly screen applicants using United States Medical Licensing Examination (USMLE) Step scores. However, this approach removes nuance from a consequential decision and exacerbates existing biases. The primary objective of this study was to demonstrate the feasibility of effecting minor modifications to the residency application process, as the authors have done at their institution, specifically by reducing the prominence of USMLE board scores and Alpha Omega Alpha (AΩA) status, both of which have been identified as bearing racial biases. METHODS: At the authors' institution, residents and attendings holistically reviewed applications with intentional redundancy so that every file was reviewed by two individuals. Reviewers were blinded to applicants' photographs and test scores. On interview day, the applicant was evaluated for their strength in three domains: knowledge, commitment to neurosurgery, and integrity. For rank discussions, applicants were reviewed in the order of their domain scores, and USMLE scores were unblinded. A regression analysis of the authors' rank list was made by regressing the rank list by AΩA status, Step 1 score, Step 2 score, subinternship, and total interview score. RESULTS: No variables had a significant effect on the rank list except total interview score, for which a single-point increase corresponded to a 15-position increase in rank list when holding all other variables constant (p < 0.05). CONCLUSIONS: The goal of this holistic review and domain-based interview process is to mitigate bias by shifting the focus to selected core qualities in lieu of traditional metrics. Since implementation, the authors' final rank lists have closely reflected the total interview score but were not significantly affected by board scores or AΩA status. This system allows for the removal of known sources of bias early in the process, with the aim of reducing potential downstream effects and ultimately promoting a final list that is more reflective of stated values.

Concerns, Perceptions, and Career Considerations of Female Medical Students Interested in Neurosurgery: A Qualitative Case Study.

BACKGROUND: Neurosurgery exhibits notably lower representation of Black, Hispanic, and female surgeons compared to various other medical and surgical specialties. Existing research focuses on medical students' views on surgeons, factors influencing female medical students' preferences in surgical fields, and the perceived interests and concerns of students contemplating a career in neurosurgery. However, there is a significant gap in understanding the unique concerns and perspectives of female medical students interested in neurosurgery. METHODS: Semi-structured interviews with female medical students were recruited from medical schools in the DC area. Interview questions were based on Lent and Brown's Social Cognitive Career Theory. Transcripts were analyzed thematically into codes. RESULTS: In total, 8 female medical students from our institution participated. We identified three major themes that influenced medical students decision making: sense of belonging (diversity, mentorship, passionate), self-efficacy (ambitious/"gunner", intense/competitive), and outcome expectations (innovation/research, immediate impact, procedural/surgical aspect, salary, work-life balance). CONCLUSION: Female medical students face distinct challenges and factors to consider when choosing a career in neurological surgery. The biggest concern for female students was a sense of belonging. It is imperative to enhance the diversity within the neurosurgical specialty and boost the representation of female neurosurgeons. Early interventions designed to tackle and alleviate their specific concerns are pivotal in achieving this goal.