Context: It is unknown if US residency applicants of different educational backgrounds (US allopathic [MD], Doctor of Osteopathic Medicine [DO], and international medical graduates [IMG]) but comparable academic performance have similar match success.

Objectives: Our objective was to compare match probabilities between applicant types after adjusting for specialty choice and United States Medical Licensing Examination (USMLE) Step 1 scores.

Methods: We performed a secondary analysis of published data in National Resident Matching Program (NRMP) reports from 2016, 2018, 2020, and 2022 for US MD seniors, DO seniors, and IMGs (US citizens and non-US citizens). We examined the 10 specialties with the most available spots in 2022. Average marginal effects from a multiple variable logistic regression model were utilized to estimate each non-MD senior applicant type's probability of matching into their preferred specialty compared to MD seniors adjusting for specialty choice, Step 1 score, and match year.

Results: Each non-MD applicant type had a lower adjusted percent difference in matching to their preferred specialty than MD seniors, -7.1 % (95 % confidence interval [CI], -11.3 to -2.9) for DO seniors, -45.6 % (-50.6 to -40.5) for US IMGs, and -56.6 % (-61.5 to -51.6) for non-US IMGs. Similarly, each non-MD applicant type had a lower adjusted percent difference in matching than MD seniors across almost all Step 1 score ranges, except for DO seniors with Step 1 scores <200 (-2.0 % [-9.5 to 5.5]).

Conclusions: After adjusting for specialty choice, Step 1 score, and match year, non-US MD applicants had lower probabilities of matching into their preferred specialties than their US MD colleagues.

Download full-text PDF

Source
http://dx.doi.org/10.1515/jom-2023-0143DOI Listing

Publication Analysis

Top Keywords

adjusting specialty
12
specialty choice
12
step score
12
seniors imgs
8
match probabilities
8
seniors adjusting
8
usmle step
8
matching preferred
8
preferred specialty
8
non-md applicant
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!