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首页> 外文期刊>Teaching and learning in medicine >A Novel Approach to Assessing Professionalism in Preclinical Medical Students Using Multisource Feedback Through Paired Self- and Peer Evaluations
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A Novel Approach to Assessing Professionalism in Preclinical Medical Students Using Multisource Feedback Through Paired Self- and Peer Evaluations

机译:通过配对自我和同行评估利用多源反馈评估临界医学生专业主义的一种新方法

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Phenomenon: Professionalism is integral to the role of the physician. Most professionalism assessments in medical training are delayed until clinical rotations where multisource feedback is available. This leaves a gap in student assessment portfolios and potentially delays professional development. Approach: A total of 246 second-year medical students (2013-2015) completed self- and peer assessments of professional behaviors in 2 courses following a series of Team-Based Learning exercises. Correlation and regression analyses were used to examine the alignment or misalignment in the relationship between the 2 types of assessments. Four subgroups were formed based on observed patterns of initial self- and peer assessment alignment or misalignment, and subgroup membership stability over time was assessed. A missing data analysis examined differences between average peer assessment scores as a function of selective nonparticipation. Findings: Spearman correlation demonstrated moderate to strong correlation between self-assessments completed alone (no simultaneous peer assessment) and self-assessments completed at the time of peer assessments ( = .59, p < .0001) but weak correlation between the two self-assessments and peer assessments (alone: = .13, p < .013; at time of peer: = .21, p < .0001). Generalized estimating equation models revealed that self-assessments done alone (p < .0001) were a significant predictor of self-assessments done at the time of peer. Course was also a significant predictor (p = .01) of self-assessment scores done at the time of peer. Peer assessment score was not a significant predictor. Bhapkar's test revealed subgroup membership based on the relationship between self- and peer ratings was relatively stable across Time 1 and Time 2 assessments ((2) = 0.83, p = .84) for all but one subgroup; members of the subgroup with initially high self-assessment and low peer assessment were significantly more likely to move to a new classification at the second measurement. A missing data analysis revealed that students who completed all self-assessments had significantly higher average peer assessment ratings compared to students who completed one or no self-assessments with a difference of -0.32, 95% confidence interval [-0.48, -0.15]. Insights: Multiple measurements of simultaneous self- and peer assessment identified a subgroup of students who consistently rated themselves higher on professionalism attributes relative to the low ratings given by their peers. This subgroup of preclinical students, along with those who elected to not complete self-assessments, may be at risk for professionalism concerns. Use of this multisource feedback tool to measure perceptual stability of professionalism behaviors is a new approach that may assist with early identification of at-risk students during preclinical years.
机译:现象:专业性是医生角色的一体化。最专业的医疗培训评估被推迟,直至提供多源反馈的临床旋转。这留下了学生评估组合的差距,潜在延迟了专业发展。方法:共246名第二年医学生(2013-2015)在一系列基于团队的学习练习之后完成了2个课程的专业行为的自我和同行评估。相关性和回归分析用于检查2种评估类型之间的关系中的对准或未对准。基于观察到的初始自我和同行评估对准或未对准模式形成了四个亚组,评估了随时间随时间的小组成员稳定性。缺少的数据分析检查了作为选择性非分支的函数的平均对等体评估分数之间的差异。调查结果:Spearman相关性证明了单独完成的自我评估(没有同时同行评估)和在同行评估时完成的自我评估(= .59,P <.0001)的自我评估,但两个自我之间的相关性弱评估和对等评估(单独:= .13,P <.013;在对等时:= .21,P <.0001)。广义估计方程模型显示单独完成的自我评估(P <.0001)是在同行时完成自我评估的重要预测因素。当然也是在同行时进行自我评估分数的重要预测因子(P = .01)。同行评估得分不是一个重要的预测因素。 Bhapkar的测试揭示了基于自我和同行评级之间的关系的子组成员,在时间1和时间2个评估((2)= 0.83,p = .84),除了一个亚组;具有最初高自我评估和低同行评估的子组的成员显着更有可能在第二次测量中转向新的分类。缺少的数据分析显示,与完成一个或没有自我评估的学生相比,完成所有自我评估的学生具有明显更高的平均同行评估评级,其自我评估为-0.32,95%置信区间[-0.48,-0.15]。见解:同时自我和同行评估的多次测量确定了一个学生的子群,他们相对于他们同行给出的低位评级持续高估了自己的学生。 This subgroup of preclinical students, along with those who elected to not complete self-assessments, may be at risk for professionalism concerns.使用这种多源反馈工具来衡量专业性行为的感知稳定性是一种新的方法,可以协助在临床前几年早期确定风险学生。

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