Impact of Virtual Interviewing on Geographic Placement for Cardiology Fellowship Recruitment

Obstetrics and Gynecology Residency Geographic Match Location Patterns: Comparison of Pre and Post Virtual Interviews

OBJECTIVE

To evaluate the impact of virtual interviews on geographic trends for applicants and programs in the obstetrics and gynecology (OBGYN) resident match.

DESIGN

Cross-sectional study of a random 50% sample of all OBGYN residency programs listed by the Accreditation Council for Graduate Medical Education (ACGME) for the 2023 to 2024 academic year. Data collected from each program included geographic location, number of residents per year, and total number of residents. Residents were categorized into 4 mutually exclusive geographic match categories: matched into the same institution, matched into same state (but different institution), matched into the same US Census region but a different state/institution, or matched into a different US Census region.

RESULTS

A total of 148 of 295 (50.2%) residency programs were included (known total number of residents = 2,928 from four US census regions and Puerto Rico). Most programs were considered small (≤16 residents; n = 52, 35.1%). In general, 43.9% (1148 of 2617) residents matched in a different region from their medical school training. For the primary outcome, no differences in the geographic placement in the previrtual (2020) and virtual application cycles (2021-2023) were observed (p = 0.51). When analyzed by program size or program region, there was no difference in the geographic placement in the previrtual and virtual application cycles.

CONCLUSIONS

This study suggests that the virtual interview process did not demonstrate an impact on geographical placement of OBGYN residents, regardless of the size of the residency program or the program's geographic region.

Changes in Gender and Racial/Ethnic Diversity in US Residency Program Applications From 2018 to 2022

Background Residency application patterns by gender and race/ethnicity offer important insights about diversity in residency recruitment. It is unknown how the COVID-19 pandemic and virtual interviewing affected these patterns. Objective We hypothesized that the introduction of virtual interviews caused an increase in applications submitted per applicant and that there may be differences by gender and race/ethnicity. Methods We extracted publicly reported Electronic Residency Application Service application data from 2018 to 2022 for 14 residency specialties with 1000 or more applicants in 2022 by self-reported gender and underrepresented in medicine (UIM) status. We compared patterns before and after virtual interviews were introduced in 2021. Results Among 401 480 residency applicants, the average number of applications submitted per applicant increased for all specialties between 2018 and 2022 across gender and race/ethnicity. Across all years, women applied to more programs than men in 5 specialties (dermatology, neurology, obstetrics/gynecology, pediatrics, and surgery), whereas men applied to more programs than women in 3 (anesthesia, family medicine, and physical medicine and rehabilitation). Across all years, non-UIM applicants applied to more programs than UIM applicants in all 14 specialties. There were no clear changes in application patterns by gender and race/ethnicity during in-person versus virtual interview years. Conclusions The average number of applications submitted per applicant increased over time across gender and race/ethnicity. In some specialties, women applied to more programs than men, and in others vice-versa, whereas non-UIM applicants applied to more programs than UIM applicants in all specialties. Virtual interviews did not change these patterns.

Relationship Between Residency Match Distance From Medical School and Virtual Application, School Characteristics, and Specialty Competitiveness

INTRODUCTION

The COVID-19 pandemic has disrupted the residency match process by eliminating away rotations and changing from in-person to virtual interviews. In this study, we explore the impact of the COVID-19 pandemic on the geographic match distance of United States (US) senior medical students across all specialties.

METHODS

We collected publicly available student match data between 2018 and 2021 from US allopathic medical schools and calculated match distance between medical school and residency training using a novel metric - the "match space." Match space was codified by whether the student matched at their home institution, home state, adjacent state, same or adjacent US census division (non-adjacent state) or skipped at least one US census division. Adjusting for covariates, ordinal logistic regression correlated school and specialty characteristics with match distance pre- and post-pandemic for all specialties. We defined and ranked specialty competitiveness using predictive values from factor analysis.

RESULTS

A total of 34,672 students representing 66 medical schools from 28 states matched into 26 specialties in 50 states and Canada. Fifty-nine percent of students were from public institutions, and 27% of schools ranked in the top 40 for research. The mean percentage of in-state students by school was 60.3% (range 3-100%). Match space was lower after the pandemic (adjusted odds ratio (OR) 0.94, 95% CI 0.90-0.98; p=0.006), from schools with higher in-state percentages (OR 0.74, 95% CI 0.72-0.76), from top National Institutes of Health-funded institutions (OR 0.88, 95% CI 0.85-0.92), from the Northeast (OR 0.71, 95% CI 0.67-0.75; Midwest reference), and the West (OR 0.67, 95% 0.60-0.74). Match space was higher for students graduating from private schools (OR 1.11, 95% CI 1.05-1.19), from the South (OR 1.62, 95% CI 1.2-1.33), and matching into more competitive specialties (OR 1.08, 95% CI 1.02-1.14). The top five most competitive specialties were Plastic Surgery, Neurosurgery, Dermatology, Orthopedic Surgery, and Otolaryngology. Internal Medicine ranked eighth.

CONCLUSIONS

After the COVID-19 pandemic, students graduating from US allopathic schools matched closer to their home institution. Students attending public schools, schools with more in-state matriculants, and schools with higher research rankings also matched closer to their home institutions. Specialty competitiveness and US census region also impacted match distance. Our study adds insight into how geographic match patterns were influenced by school, specialty choice, and the pandemic.