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Related Experiment Video

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Simulator Training for Endovascular Neurosurgery
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Reducing Over-Interviewing in the Anesthesiology Residency Match.

Ephy R Love1, Franklin Dexter2, Jason I Reminick3

  • 1The Bredesen Center, Data Science Engineering, University of Tennessee, Knoxville, USA.

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|October 14, 2021
PubMed
Summary

Anesthesiology residency programs can reduce interviews by 16.9% by excluding unlikely applicants, saving time and resources. This strategy minimizes impact on the rank-to-match list, optimizing recruitment efficiency.

Keywords:
graduate medical educationinterviewingresidency application processresidency matchresidency recruitment

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Area of Science:

  • Medical Education
  • Residency Recruitment
  • Health Informatics

Background:

  • U.S. anesthesiology residency recruitment is inefficient due to application inflation and over-invitation.
  • Current processes are costly and time-consuming for both programs and applicants.

Purpose of the Study:

  • To quantify the impact of excluding interviews for applicants with a low probability of matching.
  • To assess potential reductions in interview load and effects on rank-to-match lists.

Main Methods:

  • Utilized a validated logistic regression model based on interview scheduling data (2015-18).
  • Included variables: program region, applicant address, interview numbers, medical school rank, USMLE Step 1/CK score differences, and historical resident USMLE scores.
  • Analyzed predicted probabilities for 30 anesthesiology residency programs in 2020.

Main Results:

  • Median interview reduction of 16.9% (95% CI: 8.5%-24.1%) by excluding applicants with <10% match probability.
  • Median savings of 0.80 interviews per matched spot (95% CI: 0.34-1.33).
  • Median risk of 5.3% (95% CI: 2.3%-7.9%) of an interviewee being removed from the rank list.

Conclusions:

  • Residency programs can significantly decrease interview numbers with minimal impact on rank-to-match lists.
  • A data-driven approach to managing marginal interviews optimizes recruitment cost-benefit analysis.
  • This strategy enhances efficiency in anesthesiology residency selection.