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Mitigating Implicit Bias in Radiation Oncology

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,...

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Detalles Bibliográficos
Autores principales: Diaz, Dayssy Alexandra, Suneja, Gita, Jagsi, Reshma, Barry, Parul, Thomas, Charles R., Deville, Curtiland, Winkfield, Karen, Siker, Malika, Bott-Kothari, Terri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339323/
https://www.ncbi.nlm.nih.gov/pubmed/34381930
http://dx.doi.org/10.1016/j.adro.2021.100738
Descripción
Sumario: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.