is Professor, Department of Family Medicine, University of Alberta, Edmonton, AB, Canada.
is Competency-Based Medical Education Evaluation Lead for Postgraduate Medical Education, University of Alberta, Edmonton, AB, Canada.
J Grad Med Educ. 2022 Feb;14(1):71-79. doi: 10.4300/JGME-D-21-00602.1.
Narrative feedback, like verbal feedback, is essential to learning. Regardless of form, all feedback should be of high quality. This is becoming even more important as programs incorporate narrative feedback into the constellation of evidence used for summative decision-making. Continuously improving the quality of narrative feedback requires tools for evaluating it, and time to score. A tool is needed that does not require clinical educator expertise so scoring can be delegated to others.
To develop an evidence-based tool to evaluate the quality of documented feedback that could be reliably used by clinical educators and non-experts.
Following a literature review to identify elements of high-quality feedback, an expert consensus panel developed the scoring tool. Messick's unified concept of construct validity guided the collection of validity evidence throughout development and piloting (2013-2020).
The Evaluation of Feedback Captured Tool (EFeCT) contains 5 categories considered to be essential elements of high-quality feedback. Preliminary validity evidence supports content, substantive, and consequential validity facets. Generalizability evidence supports that EFeCT scores assigned to feedback samples show consistent interrater reliability scores between raters across 5 sessions, regardless of level of medical education or clinical expertise (Session 1: n=3, ICC=0.94; Session 2: n=6, ICC=0.90; Session 3: n=5, ICC=0.91; Session 4: n=6, ICC=0.89; Session 5: n=6, ICC=0.92).
There is preliminary validity evidence for the EFeCT as a useful tool for scoring the quality of documented feedback captured on assessment forms. Generalizability evidence indicated comparable EFeCT scores by raters regardless of level of expertise.
叙事反馈与口头反馈一样,是学习的关键。无论形式如何,所有反馈都应该具有高质量。随着课程将叙事反馈纳入总结性决策的证据组合中,这一点变得更加重要。要不断提高叙事反馈的质量,就需要评估工具和评分时间。我们需要一种不需要临床教育专家的工具,以便将评分工作委托给其他人。
开发一种基于证据的工具,以评估可由临床教育者和非专家可靠使用的记录反馈的质量。
在对高质量反馈的要素进行文献回顾后,一个专家共识小组制定了评分工具。梅塞克的统一构念效度概念指导了整个开发和试点过程中的有效性证据收集(2013-2020 年)。
评估反馈捕获工具(EFeCT)包含 5 个类别,这些类别被认为是高质量反馈的基本要素。初步有效性证据支持内容、实质性和结果有效性方面。可推广性证据表明,EFeCT 评分分配给反馈样本在 5 个会话中显示出评分者之间一致的评分者间可靠性评分,无论医学教育或临床专业知识水平如何(第 1 会话:n=3,ICC=0.94;第 2 会话:n=6,ICC=0.90;第 3 会话:n=5,ICC=0.91;第 4 会话:n=6,ICC=0.89;第 5 会话:n=6,ICC=0.92)。
EFeCT 作为评估评估表中记录的反馈质量的有用工具,具有初步有效性证据。可推广性证据表明,评分者的 EFeCT 评分具有可比性,无论专业水平如何。