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Qualitative differences in knowledge structure are associated with diagnostic performance in medical students

机译:知识结构的质性差异与医学生的诊断表现有关

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Diagnosing is a knowledge-based skill: to diagnose one must retrieve knowledge from long-term memory and then apply this to a new clinical problem. Prior research on expertise found differences in knowledge structure between experts and novices, and it is assumed that the superior diagnostic performance of experts is somehow related to their superior knowledge structure. Here our objective was to study knowledge structure in final year medical students and to examine the association between knowledge structure and diagnostic performance. Ninety-one students participated. We used concept sorting to assess knowledge structures for four clinical problems. We performed qualitative analysis of knowledge structures, categorizing these as either problem-specific, where knowledge was predominantly structured around concepts specific to that clinical problem, or generic, where knowledge was structured around general concepts that could apply to all clinical problems. We evaluated diagnostic performance using problem-solving questions. Knowledge structure varied between different problems, but for each problem most students had problem-specific knowledge structure. These students had better diagnostic performance than those with generic structure (68.5 vs. 55.3%, d = 0.45, P = 0.004). This difference persisted after adjusting for overall medical knowledge (performance on the Medical Council of Canada Part 1 examination) and clinical problem. We found that most students organize their knowledge around problem-specific concepts, and that this type of knowledge was associated with better diagnostic performance. This may be due to easier knowledge retrieval if there is congruence between how knowledge is stored and how it is applied when diagnosing.
机译:诊断是一项基于知识的技能:诊断一个人必须从长期记忆中获取知识,然后将其应用于新的临床问题。对专家的先前研究发现专家和新手之间在知识结构上存在差异,并且可以认为专家的卓越诊断性能在某种程度上与其专家的知识结构有关。在这里,我们的目标是研究医学专业最后一年的学生的知识结构,并研究知识结构与诊断性能之间的关系。九十一名学生参加了。我们使用概念分类来评估四个临床问题的知识结构。我们对知识结构进行了定性分析,将其归类为特定于问题的知识(其中知识主要围绕特定于该临床问题的概念构建)或通用,其中知识根据可能适用于所有临床问题的一般概念进行构建。我们使用解决问题的方式评估了诊断性能。不同问题之间的知识结构有所不同,但是对于每个问题,大多数学生都有特定于问题的知识结构。与具有一般结构的学生相比,这些学生的诊断性能更好(68.5比55.3%,d = 0.45,P = 0.004)。在调整了整体医学知识(加拿大医学理事会第1部分考试的表现)和临床问题后,这种差异仍然存在。我们发现,大多数学生围绕特定于问题的概念来组织他们的知识,并且这类知识与更好的诊断性能有关。如果在诊断时如何存储知识和如何应用知识之间存在一致性,这可能是由于更容易进行知识检索。

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