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The influence of familiar non-diagnostic information on the diagnostic decisions of novices.

机译:熟悉的非诊断信息对新手诊断决策的影响。

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CONTEXT: Previous research has demonstrated the influence of familiar symptom descriptions and entire case similarity on diagnostic reasoning. In this paper, we extend the role of familiarity to examine the influence of familiar non-diagnostic patient information (e.g. name and age) on the diagnostic decisions of novices, both immediately following training and after a delay. If an instance model (reliance on similar previously seen cases) has strong explanatory power in clinical reasoning, we should see an influence of familiar patient information on later cases containing similar identifying characteristics even though such information is objectively irrelevant. METHODS: Thirty-six participants (undergraduate psychology students) were trained to competence on four simplified psychiatric diagnoses and allowed to practise their diagnostic skills on 12 prototypical case vignettes, for which feedback was provided. One-third of participants were tested immediately, one-third following a 24-hour delay, and one-third following a 1-week delay; all were tested on novel cases. Test cases were created to have two equiprobable diagnoses, both of which were supported by two novel symptom descriptions. However, one diagnosis was also supported by non-diagnostic patient information similar to information on a patient seen in the training phase. A deviation from an equal assignment of diagnostic probability, in support of the familiar patient information, demonstrates a reliance on the familiar, non-diagnostic information, and therefore indicates an instance model of reasoning. RESULTS: Participants assigned significantly higher diagnostic probability to the diagnosis cued by the familiar patient information (52.6%) than to the plausible alternative diagnosis (38.9%). Participants also reported a higher number of clinically relevant symptoms to support the diagnosis associated with the familiar patient information than to support the plausible alternative diagnosis. The influence of familiar patient identity was consistent across delay periods and cannot be accounted for by the forgetting of diagnostic rules. CONCLUSIONS: Participants were clearly relying on familiar patient identity information as evidenced by their diagnostic conclusions and differential reporting of clinically relevant features. These results support an instance model of reasoning which is not limited by whole case similarity or similarity of diagnostic information.
机译:语境:先前的研究已经证明了熟悉的症状描述和整个病例相似性对诊断推理的影响。在本文中,我们扩展了熟悉度的作用,以检查熟悉的非诊断性患者信息(例如姓名和年龄)对新手的诊断决策的影响,包括培训后和延迟后。如果实例模型(依靠相似的先前见过的病例)在临床推理中具有强大的解释力,那么即使客观上无关紧要,我们也应该看到熟悉的患者信息对包含相似识别特征的后续病例的影响。方法:对36名参与者(本科心理学学生)进行了4种简化精神病学诊断的能力培训,并允许他们在12种原型病例短片上练习其诊断技能,并为此提供了反馈。三分之一的参与者立即接受了测试,延迟24小时后进行了三分之一,延迟1周后进行了三分之一;所有这些都在新颖的情况下进行了测试。创建了具有两个等概率诊断的测试用例,两个诊断都支持两种新颖的症状。但是,非诊断性患者信息也支持一项诊断,类似于在训练阶段看到的患者信息。在支持熟悉的患者信息的情况下,偏离诊断概率的均等分配表明对熟悉的非诊断信息的依赖,因此表明了推理的实例模型。结果:参与者对由熟悉的患者信息提示的诊断的诊断概率(52.6%)远高于合理的替代诊断(38.9%)。与支持合理的替代诊断相比,参与者还报告了更多的临床相关症状来支持与熟悉的患者信息相关的诊断。熟悉的患者身份的影响在整个延迟期内都是一致的,并且不能通过忘记诊断规则来解决。结论:参与者显然依靠熟悉的患者身份信息,这由他们的诊断结论和临床相关特征的差异报告所证明。这些结果支持推理的实例模型,该实例模型不受整个案例的相似性或诊断信息的相似性的限制。

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