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减轻放射肿瘤学中的隐性偏见。

Mitigating Implicit Bias in Radiation Oncology.

作者信息

Diaz Dayssy Alexandra, Suneja Gita, Jagsi Reshma, Barry Parul, Thomas Charles R, Deville Curtiland, Winkfield Karen, Siker Malika, Bott-Kothari Terri

机构信息

Department of Radiation Oncology, The Ohio State University, Columbus, Ohio.

Department of Radiation Oncology University of Utah, Salt Lake city, Utah.

出版信息

Adv Radiat Oncol. 2021 Jun 24;6(5):100738. doi: 10.1016/j.adro.2021.100738. eCollection 2021 Sep-Oct.

Abstract

Implicit bias is one of the most insidious and least recognizable mechanisms that can cause inequity and disparities. There is increasing evidence that both implicit and explicit biases have a negative effect on patient outcomes and patient-physician relationships. Given the impact of Implicit bias, a joint session between ASTROs Committee on Health Equity, Diversity, and Inclusion and the National Cancer Institute (the ASTRO-National Cancer Institute Diversity Symposium) was held during the American Society of Radiation Oncology (ASTRO) 2020 Annual Meeting, to address the effect of implicit bias in radiation oncology through real life and synthesized hypothetical scenario discussions. Given the value of this session to the radiation oncology community, the scenarios and discussion are summarized in this manuscript. Our goal is to heighten awareness of the multiple settings in which implicit bias can occur as well as discuss resources to address bias.

摘要

隐性偏见是导致不公平和差异的最阴险且最难以识别的机制之一。越来越多的证据表明,隐性偏见和显性偏见都会对患者治疗结果以及医患关系产生负面影响。鉴于隐性偏见的影响,美国放射肿瘤学会(ASTRO)健康公平、多样性与包容性委员会与美国国立癌症研究所联合举办了一场会议(ASTRO-美国国立癌症研究所多样性研讨会),该会议于美国放射肿瘤学会2020年年会期间举行,旨在通过现实生活和综合假设情景讨论来探讨隐性偏见在放射肿瘤学中的影响。鉴于本次会议对放射肿瘤学界的价值,本文总结了这些情景及讨论内容。我们的目标是提高对隐性偏见可能出现的多种情况的认识,并讨论应对偏见的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25fd/8339323/53dee8c5016d/gr1.jpg

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