Kreiter Clarence D, Bergus George
Department of Family Medicine, University of Iowa, Iowa City, Iowa 52246, USA.
Med Educ. 2009 Apr;43(4):320-5. doi: 10.1111/j.1365-2923.2008.03281.x.
The development of a valid and reliable measure of clinical reasoning ability is a prerequisite to advancing our understanding of clinically relevant cognitive processes and to improving clinical education. A record of problem-solving performances within standardised and computerised patient simulations is often implicitly assumed to reflect clinical reasoning skills. However, the validity of this measurement method for assessing clinical reasoning is open to question.
Explicitly defining the intended clinical reasoning construct should help researchers critically evaluate current performance score interpretations. Although case-specific measurement outcomes (i.e. low correlations between cases) have led medical educators to endorse performance-based assessments of problem solving as a method of measuring clinical reasoning, the matter of low across-case generalisation is a reliability issue with validity implications and does not necessarily support a performance-based approach. Given this, it is important to critically examine whether our current performance-based testing efforts are correctly focused. To design a valid educational assessment of clinical reasoning requires a coherent argument represented as a chain of inferences supporting a clinical reasoning interpretation.
Suggestions are offered for assessing how well an examinee's existing knowledge organisation accommodates the integration of new patient information, and for focusing assessments on an examinee's understanding of how new patient information changes case-related probabilities and base rates.
开发一种有效且可靠的临床推理能力测量方法是增进我们对临床相关认知过程的理解以及改善临床教育的前提条件。在标准化和计算机化的患者模拟中解决问题表现的记录通常被隐含地认为能反映临床推理技能。然而,这种用于评估临床推理的测量方法的有效性值得怀疑。
明确界定预期的临床推理结构应有助于研究人员批判性地评估当前对表现分数的解释。尽管特定病例的测量结果(即病例之间的低相关性)已促使医学教育工作者认可基于表现的问题解决评估作为一种测量临床推理的方法,但跨病例概括性低的问题是一个具有效度影响的信度问题,并不一定支持基于表现的方法。鉴于此,批判性地审视我们当前基于表现的测试努力是否正确聚焦很重要。设计一个有效的临床推理教育评估需要一个连贯的论证,表现为支持临床推理解释的一系列推理。
针对评估考生现有的知识组织在多大程度上能够整合新的患者信息,以及将评估聚焦于考生对新的患者信息如何改变与病例相关的概率和基础比率的理解,提出了一些建议。