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临床推理课程——陷阱、误区与要点:错误的数据收集与综合对诊断错误的影响

Lessons in clinical reasoning - pitfalls, myths, and pearls: the contribution of faulty data gathering and synthesis to diagnostic error.

作者信息

Schaller-Paule Martin A, Steinmetz Helmuth, Vollmer Friederike S, Plesac Melissa, Wicke Felix, Foerch Christian

机构信息

Department of Neurology, University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Hesse, Germany.

Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.

出版信息

Diagnosis (Berl). 2021 Mar 24;8(4):515-524. doi: 10.1515/dx-2019-0108. Print 2021 Nov 25.

Abstract

OBJECTIVES

Errors in clinical reasoning are a major factor for delayed or flawed diagnoses and put patient safety at risk. The diagnostic process is highly dependent on dynamic team factors, local hospital organization structure and culture, and cognitive factors. In everyday decision-making, physicians engage that challenge partly by relying on heuristics - subconscious mental short-cuts that are based on intuition and experience. Without structural corrective mechanisms, clinical judgement under time pressure creates space for harms resulting from systems and cognitive errors. Based on a case-example, we outline different pitfalls and provide strategies aimed at reducing diagnostic errors in health care.

CASE PRESENTATION

A 67-year-old male patient was referred to the neurology department by his primary-care physician with the diagnosis of exacerbation of known myasthenia gravis. He reported shortness of breath and generalized weakness, but no other symptoms. Diagnosis of respiratory distress due to a myasthenic crisis was made and immunosuppressive therapy and pyridostigmine were given and plasmapheresis was performed without clinical improvement. Two weeks into the hospital stay, the patient's dyspnea worsened. A CT scan revealed extensive segmental and subsegmental pulmonary emboli.

CONCLUSIONS

Faulty data gathering and flawed data synthesis are major drivers of diagnostic errors. While there is limited evidence for individual debiasing strategies, improving team factors and structural conditions can have substantial impact on the extent of diagnostic errors. Healthcare organizations should provide the structural supports to address errors and promote a constructive culture of patient safety.

摘要

目标

临床推理中的错误是导致诊断延迟或有缺陷的主要因素,并危及患者安全。诊断过程高度依赖于动态的团队因素、当地医院的组织结构和文化以及认知因素。在日常决策中,医生部分地通过依赖启发法——基于直觉和经验的潜意识心理捷径——来应对这一挑战。如果没有结构性的纠正机制,在时间压力下的临床判断就会为系统和认知错误导致的伤害创造空间。基于一个案例,我们概述了不同的陷阱,并提供了旨在减少医疗保健中诊断错误的策略。

病例介绍

一名67岁男性患者被其初级保健医生转诊至神经科,诊断为已知重症肌无力加重。他报告有呼吸急促和全身无力,但无其他症状。诊断为重症肌无力危象导致的呼吸窘迫,并给予免疫抑制治疗和吡啶斯的明,进行了血浆置换,但临床症状无改善。住院两周后,患者的呼吸困难加重。CT扫描显示广泛的节段性和亚节段性肺栓塞。

结论

错误的数据收集和有缺陷的数据综合是诊断错误的主要驱动因素。虽然针对个体去偏策略的证据有限,但改善团队因素和结构条件可对诊断错误的程度产生重大影响。医疗保健机构应提供结构性支持以解决错误,并促进建立注重患者安全的建设性文化。

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