Trends in the Physical Medicine and Rehabilitation Match: Analysis of NRMP Data from 2007 to 2018.

INTRODUCTION

We provide an updated analysis of data about U.S. Physical Medicine and Rehabilitation (PM&R) residency program applicants collected by the National Resident Matching Program (NRMP).

OBJECTIVE

Analyze trends within NRMP data for PM&R residency match rates, compare matched to unmatched applicants, and compare PM&R applicants to other medical specialties.

DESIGN

Secondary analysis of NRMP data.

SETTING

NRMP data set.

PARTICIPANTS

Residency program applicants who participated in the NRMP Match, 2007 to 2018.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Number of applicants, match rates, difference in characteristics including rank order list (ROL), U.S. Medical Licensing Examination (USMLE) Step 1 and Step 2 Clinical Knowledge (CK) scores, publications, Alpha Omega Alpha (AOA) status, PhD degree, and experiences in research, volunteer, and work.

RESULTS

Number of applicants and residency positions increased from 2007 to 2018. Length of ROL increased and was longer for matched compared to unmatched applicants, with maximum mean difference of 7.4 in 2016 (95% confidence interval [CI] 5.6-9.2). Matched U.S. Allopathic Seniors had higher USMLE scores compared to unmatched, with a mean difference of 12.7 for Step 1 (95% CI 8.3-17.0) and 12.6 (95% CI 8.6-16.6) for Step 2 CK (P < .001). Number of publications and volunteer experiences were higher for matched U.S. Allopathic Seniors (0.64, 95% CI 0.09-1.2 and 1.5, 95% CI 0.65-2.3, respectively). PM&R USMLE Step 1 and 2 CK scores increased at a significantly faster rate than for all other specialties, with estimated rate differences of 0.46 (95% CI 0.21-0.71) and 0.69 (95% CI 0.45-0.93) points per year, respectively.

CONCLUSIONS

PM&R residency has become more competitive. USMLE Step 1 and 2 CK scores have outpaced the inflation of scores in other specialties. ROL length has increased, suggesting more ranked programs to successfully match. These analyses update our knowledge about PM&R residency applicants and suggest surrogate markers for a successful match.