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显性化隐性因素:降低精神/行为障碍的隐性偏见对护理安全和质量影响的可视化模型。

Making the implicit explicit: A visual model for lowering the risk of implicit bias of mental/behavioural disorders on safety and quality of care.

机构信息

St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.

7938University of Toronto, Toronto, Ontario, Canada.

出版信息

Healthc Manage Forum. 2021 Mar;34(2):72-76. doi: 10.1177/0840470420953181. Epub 2020 Sep 10.

Abstract

Persons with mental illness and/or addictions have poorer health outcomes than the general population. Lower quality of healthcare has been identified as an important factor. A main contributor to lower quality of care for people with mental illnesses and/or addictions may be the cognitive implicit bias of mental versus physical care when assessing and categorizing a patient's clinical presentation. The objective of this article is to highlight how this implicit cognitive bias of mental versus physical care can result in human factor risks to quality of care. We provide three specific case examples of where these quality concerns arise. We also propose the use of a new visual tool to help educate and create awareness of this implicit-bias-based risk and quality care problem.

摘要

患有精神疾病和/或成瘾的人比一般人群的健康状况更差。医疗保健质量较低已被确定为一个重要因素。导致精神疾病和/或成瘾患者的护理质量较低的一个主要因素可能是在评估和分类患者的临床表现时,对精神护理与身体护理的认知性内隐偏见。本文的目的是强调这种精神护理与身体护理的内隐认知偏见如何导致对护理质量的人为因素风险。我们提供了三个具体的案例,说明这些质量问题是如何出现的。我们还提出了使用新的可视化工具来帮助教育和提高对这种基于内隐偏见的风险和护理质量问题的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c722/7903851/34332a469429/10.1177_0840470420953181-fig1.jpg

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