Department of Psychology, Erasmus University Rotterdam, Burgemeester Oudlaan 50, T13-33, 3062 PA Rotterdam, The Netherlands.
BMJ Qual Saf. 2012 Apr;21(4):295-300. doi: 10.1136/bmjqs-2011-000518. Epub 2012 Mar 2.
Flaws in clinical reasoning are present in most diagnostic errors and occur even when physicians have enough knowledge to solve the problem. Deliberate reflection has been shown to improve diagnoses. The sources of faulty reasoning and how reflection counteracts them remain largely unknown.
To explore the causes of faulty reasoning and the mechanisms through which reflection neutralises them by investigating the influence of salient distracting clinical features on diagnostic decision-making.
In a prior study, 34 internal medicine residents and 50 medical students of the Erasmus Medical Centre, Rotterdam, diagnosed four clinical cases by means of non-analytical reasoning and four by reflective reasoning. In the secondary analysis of the data presented here, five internists independently evaluated the diagnoses and examined the nature of the diagnostic errors in relation to case features that gave rise to these errors.
Frequency of incorrect diagnoses caused by salient distracting features made through reflective and non-analytical reasoning.
Among residents, reflective reasoning (Mean diagnostic accuracy score (M)=2.09, 95% CI 1.77 to 2.40) led to a significantly higher number of correct diagnoses than non-analytical reasoning (M=1.71, 95% CI 1.37 to 2.04; p=0.03). This higher diagnostic accuracy was associated with fewer incorrect diagnoses triggered by salient distracting clinical features (M=0.47, 95% CI 0.26 to 0.68) compared with non-analytical reasoning (M=0.85, 95% CI 0.59 to 1.11; p=0.02). Students did not benefit from reflection to improve diagnoses.
Salient features in a case tend to attract physicians' attention and may misdirect diagnostic reasoning when they turn out to be unrelated to the problem, causing errors. Reflection helps by enabling physicians to overcome the influence of distracting features. The lack of effect for students suggests that this is only possible when there is enough knowledge to recognise which features discriminate between alternative diagnoses.
临床推理中的缺陷存在于大多数诊断错误中,即使医生有足够的知识来解决问题,这种缺陷也会出现。有意识的反思已被证明可以改善诊断。错误推理的原因以及反思如何克服这些原因在很大程度上仍然未知。
通过研究突出的分散临床特征对诊断决策的影响,探讨错误推理的原因以及反思如何消除这些原因的机制。
在先前的一项研究中,34 名内科住院医师和 50 名鹿特丹伊拉斯谟医疗中心的医学生通过非分析推理和 4 次反思性推理诊断了 4 个临床病例。在呈现的数据的二次分析中,5 名内科医生独立评估了诊断,并检查了与导致这些错误的病例特征有关的诊断错误的性质。
通过反思性和非分析性推理导致突出分散特征的不正确诊断的频率。
在住院医师中,反思性推理(平均诊断准确性评分(M)=2.09,95%置信区间 1.77 至 2.40)导致的正确诊断数量明显高于非分析性推理(M)=1.71,95%置信区间 1.37 至 2.04;p=0.03)。这种更高的诊断准确性与通过突出分散的临床特征触发的较少不正确诊断相关(M=0.47,95%置信区间 0.26 至 0.68),而非分析性推理(M=0.85,95%置信区间 0.59 至 1.11;p=0.02)。学生没有从反思中受益,以改善诊断。
案例中的突出特征往往会吸引医生的注意力,并且当它们与问题无关时,可能会误导诊断推理,导致错误。反思通过使医生能够克服分散特征的影响来提供帮助。学生没有效果表明,只有当有足够的知识来识别哪些特征区分替代诊断时,这才是可能的。