Selection for Surgical Training: An Evidence-Based Review

选择(遗传算法) 标准化 可靠性(半导体) 梅德林 卓越 过程(计算) 医学 医学教育 计算机科学 医学物理学 机器学习 物理 功率(物理) 法学 操作系统 量子力学 政治学
作者
Mark V. Schaverien
出处
期刊:Journal of Surgical Education [Elsevier]
卷期号:73 (4): 721-729 被引量:33
标识
DOI:10.1016/j.jsurg.2016.02.007
摘要

The predictive relationship between candidate selection criteria for surgical training programs and future performance during and at the completion of training has been investigated for several surgical specialties, however there is no interspecialty agreement regarding which selection criteria should be used. Better understanding the predictive reliability between factors at selection and future performance may help to optimize the process and lead to greater standardization of the surgical selection process. PubMed and Ovid MEDLINE databases were searched. Over 560 potentially relevant publications were identified using the search strategy and screened using the Cochrane Collaboration Data Extraction and Assessment Template. 57 studies met the inclusion criteria. Several selection criteria used in the traditional selection demonstrated inconsistent correlation with subsequent performance during and at the end of surgical training. The following selection criteria, however, demonstrated good predictive relationships with subsequent resident performance: USMLE examination scores, Letters of Recommendation (LOR) including the Medical Student Performance Evaluation (MSPE), academic performance during clinical clerkships, the interview process, displaying excellence in extracurricular activities, and the use of unadjusted rank lists. This systematic review supports that the current selection process needs to be further evaluated and improved. Multicenter studies using standardized outcome measures of success are now required to improve the reliability of the selection process to select the best trainees.
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