Predicting General Surgery Match Outcomes Using Standardized Ranking Metrics

Area of Science:

• Medical education
• Surgical residency selection
• Applicant assessment

Background:

• Increasing numbers of general surgery applicants necessitate objective ranking systems.
• Standardized scoring aims to minimize bias and ensure consistency in applicant evaluation.
• Assessing the efficacy of objective metrics in predicting resident match outcomes is crucial.

Approach:

• Retrospective review of general surgery applicant data from 2017-2020.
• Applicants ranked using a composite score of preinterview (academic portfolio) and interview performance.
• Match results analyzed and categorized into academic categorical, community categorical, preliminary surgical, non-surgical specialty, or unmatched positions.

Key Points:

• A total of 378 applicants were analyzed.
• Applicants matching into academic categorical positions had significantly higher preinterview and interview scores.
• A significant difference in interview scores was observed between community categorical and unmatched applicants, but not in preinterview scores.

Conclusions:

• The developed scoring system effectively stratified applicants for general surgery residency program matches.
• Objective measurements are vital for consistent and unbiased evaluation of surgical residency candidates.
• The findings support the use of standardized scoring systems in predicting residency match success.