Department of Medicine, McGill University, Montreal, Quebec, Canada.
Med Educ. 2011 Apr;45(4):407-14. doi: 10.1111/j.1365-2923.2010.03799.x.
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.
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.
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.
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.
先前的研究已经证明了熟悉的症状描述和整个病例的相似性对诊断推理的影响。在本文中,我们将熟悉的范围扩展到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,无论是在培训后立即还是在延迟后。如果实例模型(依赖于以前见过的类似病例)在临床推理中具有很强的解释力,那么即使此类信息在客观上是不相关的,我们也应该看到熟悉的患者信息对后来包含相似识别特征的病例的影响。
36 名参与者(本科心理学学生)接受了四项简化的精神病学诊断培训,并允许他们在 12 个原型病例中练习他们的诊断技能,并提供反馈。三分之一的参与者立即接受测试,三分之一在 24 小时后延迟,三分之一在 1 周后延迟;所有人都接受新病例的测试。测试病例创建为具有两种概率相等的诊断,这两种诊断都得到了两个新的症状描述的支持。然而,其中一种诊断也得到了与培训阶段所见患者相似的非诊断性患者信息的支持。偏离相等的诊断概率分配,支持熟悉的患者信息,表明依赖于熟悉的、非诊断性的信息,因此表明推理的实例模型。
参与者将明显更高的诊断概率分配给熟悉的患者信息提示的诊断(52.6%),而不是合理的替代诊断(38.9%)。参与者还报告说,与支持合理替代诊断相比,他们支持与熟悉的患者信息相关的诊断的临床相关症状数量更多。熟悉的患者身份的影响在延迟期间是一致的,不能用诊断规则的遗忘来解释。
参与者显然依赖于熟悉的患者身份信息,这可以从他们的诊断结论和对临床相关特征的差异报告中看出。这些结果支持一种实例模型的推理,这种推理不受整个病例的相似性或诊断信息的相似性的限制。