Canberra Hospital, Australian National University, Canberra, ACT, Australia.
Canberra Hospital, Australian National University, Canberra, ACT, Australia.
J Surg Educ. 2023 Sep;80(9):1311-1319. doi: 10.1016/j.jsurg.2023.06.006. Epub 2023 Jul 3.
This study aims to compare trainee self-assessment with supervisor assessment to identify differences in correlations of the demographic data and evaluate whether the instrument can be utilized to identify underperforming trainees.
A novel instrument was designed based off the Royal Australasian College of Surgeons original 9 competencies utilizing the JDocs framework and covers 48-items across all surgical competencies. A multiple regression model using age, gender, postgraduate year, IMG status, and level of training as the variables was performed with backwards elimination, and pairwise comparisons made to identify the degree and direction of influence each variable contributed to trainee and supervisor ratings.
Surgical trainees employed in tertiary centers within the Australian Capital Territory and South-East New South Wales health network in Australia.
A total of 36 of 59 (61%) trainees responded. Two grossly incomplete responses were excluded from further analysis resulting in 34 completed self-assessments for analysis. There was a total of 68 supervisor assessments provided by 25 different nominated supervisors. Of these assessments, 67 were fully completed and one was partially complete.
We identified that for both self-ratings and supervisor ratings, the most significant correlation is with the postgraduate year of the trainee, with correlation identified in 7 out of 9 competencies, although in different competency domains. International Medical Graduate status is associated in 2 of 9 self-ratings, and in 3 of 9 supervisor ratings. Underperforming trainees were able to be identified through supervisor assessment but not self-assessment.
The supervisor assessment form was able to identify underperforming trainees. Our findings resonate with existing literature in other specialty fields, and surgical units that employ assessment forms should feel more confident in the interpretation of the data and provision of feedback to trainees.
本研究旨在比较学员自评与导师评估,以确定人口统计学数据相关性的差异,并评估该工具是否可用于识别表现不佳的学员。
根据皇家澳大利亚外科医学院(Royal Australasian College of Surgeons)原始的 9 项能力,使用 JDocs 框架设计了一种新工具,涵盖了所有外科能力的 48 项内容。使用向后消除法对使用年龄、性别、研究生年限、IMG 状态和培训水平作为变量的多元回归模型进行了分析,并进行了两两比较,以确定每个变量对学员和导师评分的影响程度和方向。
澳大利亚首都领地和东南新南威尔士州卫生网络内的三级中心的外科学员。
共有 59 名学员中的 36 名(61%)做出了回应。有 2 份评估结果极不完整,被排除在进一步分析之外,最终有 34 份完整的自我评估结果进行了分析。共有 25 位不同指定的导师提供了 68 份导师评估。在这些评估中,有 67 份是完整的,有 1 份是部分完成的。
我们发现,无论是自我评估还是导师评估,与学员的研究生年限相关性最大,在 9 项能力中有 7 项存在相关性,尽管在不同的能力领域。国际医学毕业生(IMG)身份与 9 项自我评估中的 2 项相关,与 9 项导师评估中的 3 项相关。通过导师评估可以识别表现不佳的学员,但自我评估则不行。
导师评估表能够识别表现不佳的学员。我们的发现与其他专业领域的现有文献相呼应,使用评估表的外科单位应该对数据的解释和向学员提供反馈更有信心。