Early vs Single Match in the Transition to Residency: Analysis Using NRMP Data From 2014 to 2021

Author:

Ashlagi Itai1,Love Ephy2ORCID,Reminick Jason I.3ORCID,Roth Alvin E.4ORCID

Affiliation:

1. Itai Ashlagi, PhD*, is Professor of Management Science and Engineering, Department of Management Science and Engineering, Stanford University

2. Ephy Love, PhD*, is Head of Data Science, Thalamus

3. Jason I. Reminick, MD, MBA, MS, is CEO and Founder, Thalamus

4. Alvin E. Roth, PhD, is Professor of Economics, Department of Economics, Stanford University

Abstract

ABSTRACT Background An Early Result Acceptance Program (ERAP) has been proposed for obstetrics and gynecology (OB/GYN) to address challenges in the transition to residency. However, there are no available data-driven analyses on the effects of ERAP on the residency transition. Objective We used National Resident Matching Program (NRMP) data to simulate the outcomes of ERAP and compare those to what occurred in the Match historically. Methods We simulated ERAP outcomes in OB/GYN, using the de-identified applicant and program rank order lists from 2014 to 2021, and compared them to the actual NRMP Match outcomes. We report outcomes and sensitivity analyses and consider likely behavioral adaptations. Results Fourteen percent of applicants receive a less preferred match under ERAP, while only 8% of applicants receive a more preferred match. Less preferred matches disproportionately affect DOs and international medical graduates (IMGs) compared to US MD seniors. Forty-one percent of programs fill with more preferred sets of applicants, while 24% fill with less preferred sets of applicants. Twelve percent of applicants and 52% of programs are in mutually dissatisfied applicant-program pairs (a pair in which both prefer each other to the match each received). Seventy percent of applicants who receive less preferred matches are part of a mutually dissatisfied pair. In 75% of programs with more preferred outcomes, at least one assigned applicant is part of a mutually dissatisfied pair. Conclusions In this simulation, ERAP fills most OB/GYN positions, but many applicants and programs receive less preferred matches, and disparities increase for DOs and IMGs. ERAP creates mutually dissatisfied applicant-program pairs and problems for mixed-specialty couples, which provides incentives for gamesmanship.

Publisher

Journal of Graduate Medical Education

Subject

General Medicine,Education

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