首页> 外文期刊>Journal of surgical education >The electronic residency application service application can predict accreditation council for graduate medical education competency-based surgical resident performance.
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The electronic residency application service application can predict accreditation council for graduate medical education competency-based surgical resident performance.

机译:电子居住申请服务应用程序可以预测基于研究生医学教育能力的外科住院医师表现的认可委员会。

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OBJECTIVE: Program directors often struggle to determine which factors in the Electronic Residency Application Service (ERAS) application are important in the residency selection process. With the establishment of the Accreditation Council for Graduate Medical Education (ACGME) competencies, it would be important to know whether information available in the ERAS application can predict subsequent competency-based performance of general surgery residents. METHODS: This study is a retrospective correlation of data points found in the ERAS application with core competency-based clinical rotation evaluations. ACGME competency-based evaluations as well as technical skills assessment from all rotations during residency were collected. The overall competency score was defined as an average of all 6 competencies and technical skills. RESULTS: A total of77 residents from two (one university and one community based university-affiliate) general surgery residency programs were included in the analysis. Receiving honors for many of the third year clerkships and AOA membership were associated with a number of the individual competencies. USMLE scores were predictive only of Medical Knowledge (p = 0.004). Factors associated with higher overall competency were female gender (p = 0.02), AOA (p = 0.06), overall number of honors received (p = 0.04), and honors in Ob/Gyn (p = 0.03) and Pediatrics (p = 0.05). Multivariable analysis showed honors in Ob/Gyn, female gender, older age, and total number of honors to be predictive of a number of individual core competencies. USMLE scores were only predictive of Medical Knowledge. CONCLUSIONS: The ERAS application is useful for predicting subsequent competency based performance in surgical residents. Receiving honors in the surgery clerkship, which has traditionally carried weight when evaluating a potential surgery resident, may not be as strong a predictor of future success.
机译:目的:程序主管通常很难确定电子居留申请服务(ERAS)应用程序中的哪些因素在居留选择过程中很重要。随着研究生医学教育资格认证委员会(ACGME)的建立,了解ERAS应用程序中可用的信息是否可以预测随后基于普通外科医师的胜任能力的表现将非常重要。方法:本研究是ERAS应用程序中发现的数据点与基于核心能力的临床轮换评估之间的回顾性关联。收集了ACGME基于能力的评估以及居住期间所有轮换的技术技能评估。总体能力得分定义为全部6个能力和技术技能的平均值。结果:来自两个(一所大学和一所社区大学附属社区)的普通外科住院医师计划的共77位居民被纳入分析。三年级文职人员和AOA成员的获得荣誉与许多个人能力有关。 USMLE分数仅可预测医学知识(p = 0.004)。与总体能力较高相关的因素是女性(p = 0.02),AOA(p = 0.06),获得的荣誉总数(p = 0.04)和Ob / Gyn(p = 0.03)和儿科的荣誉(p = 0.05) )。多变量分析显示,Ob / Gyn的荣誉,女性,年龄,年龄和荣誉总数可预测许多个人核心能力。 USMLE分数仅可预测医学知识。结论:ERAS应用程序可用于预测外科住院医师随后基于能力的表现。在评估潜在的手术住院医师方面,传统上会担当重任的手术文职人员获得荣誉,可能并不能很好地预测未来的成功。

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