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艰难时期的临床推理。COVID-19 大流行期间临床病例中的认知偏差分析。

Clinical reasoning in dire times. Analysis of cognitive biases in clinical cases during the COVID-19 pandemic.

机构信息

Unit of Development and Research in Medical Education, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Division of General Internal Medicine, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland.

出版信息

Intern Emerg Med. 2022 Jun;17(4):979-988. doi: 10.1007/s11739-021-02884-9. Epub 2022 Jan 8.

Abstract

Cognitive biases are systematic cognitive distortions, which can affect clinical reasoning. The aim of this study was to unravel the most common cognitive biases encountered in in the peculiar context of the COVID-19 pandemic. Case study research design. Primary care. Single centre (Division of General Internal Medicine, University Hospitals of Geneva, Geneva, Switzerland). A short survey was sent to all primary care providers (N = 169) taking care of hospitalised adult patients with COVID-19. Participants were asked to describe cases in which they felt that their clinical reasoning was "disrupted" because of the pandemic context. Seven case were sufficiently complete to be analysed. A qualitative analysis of the clinical cases was performed and a bias grid encompassing 17 well-known biases created. The clinical cases were analyzed to assess for the likelihood (highly likely, plausible, not likely) of the different biases for each case. The most common biases were: "anchoring bias", "confirmation bias", "availability bias", and "cognitive dissonance". The pandemic context is a breeding ground for the emergence of cognitive biases, which can influence clinical reasoning and lead to errors. Awareness of these cognitive mechanisms could potentially reduce biases and improve clinical reasoning. Moreover, the analysis of cognitive biases can offer an insight on the functioning of the clinical reasoning process in the midst of the pandemic crisis.

摘要

认知偏差是系统性的认知扭曲,会影响临床推理。本研究旨在揭示在 COVID-19 大流行这一特殊背景下,最常见的认知偏差。病例研究设计。初级保健。单中心(日内瓦大学附属医院综合内科科,瑞士日内瓦)。向所有照顾 COVID-19 住院成年患者的初级保健提供者(N=169)发送了一份简短的调查。要求参与者描述他们感到自己的临床推理因大流行背景而“中断”的情况。有 7 个案例足够完整,可以进行分析。对临床案例进行了定性分析,并创建了一个包含 17 种已知偏差的偏差网格。对临床案例进行了分析,以评估每种案例中不同偏差的可能性(高度可能、合理、不太可能)。最常见的偏差包括:“锚定偏差”、“确认偏差”、“可得性偏差”和“认知失调”。大流行背景是认知偏差出现的温床,这些偏差会影响临床推理并导致错误。意识到这些认知机制可能会减少偏差并改善临床推理。此外,对认知偏差的分析可以深入了解临床推理过程在大流行危机中的运作方式。

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