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Patient activation reduces effects of implicit bias on doctor–patient interactions
Disparities between Black and White Americans persist in medical treatment and health outcomes. One reason is that physicians sometimes hold implicit racial biases that favor White (over Black) patients. Thus, disrupting the effects of physicians' implicit bias is one route to promoting equitab...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371681/ https://www.ncbi.nlm.nih.gov/pubmed/35914161 http://dx.doi.org/10.1073/pnas.2203915119 |
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author | Gainsburg, Izzy Derricks, Veronica Shields, Cleveland Fiscella, Kevin Epstein, Ronald Yu, Veronica Griggs, Jennifer |
author_facet | Gainsburg, Izzy Derricks, Veronica Shields, Cleveland Fiscella, Kevin Epstein, Ronald Yu, Veronica Griggs, Jennifer |
author_sort | Gainsburg, Izzy |
collection | PubMed |
description | Disparities between Black and White Americans persist in medical treatment and health outcomes. One reason is that physicians sometimes hold implicit racial biases that favor White (over Black) patients. Thus, disrupting the effects of physicians' implicit bias is one route to promoting equitable health outcomes. In the present research, we tested a potential mechanism to short-circuit the effects of doctors’ implicit bias: patient activation, i.e., having patients ask questions and advocate for themselves. Specifically, we trained Black and White standardized patients (SPs) to be “activated” or “typical” during appointments with unsuspecting oncologists and primary care physicians in which SPs claimed to have stage IV lung cancer. Supporting the idea that patient activation can promote equitable doctor–patient interactions, results showed that physicians’ implicit racial bias (as measured by an implicit association test) predicted racially biased interpersonal treatment among typical SPs (but not among activated SPs) across SP ratings of interaction quality and ratings from independent coders who read the interaction transcripts. This research supports prior work showing that implicit attitudes can undermine interpersonal treatment in medical settings and provides a strategy for ensuring equitable doctor–patient interactions. |
format | Online Article Text |
id | pubmed-9371681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-93716812023-02-01 Patient activation reduces effects of implicit bias on doctor–patient interactions Gainsburg, Izzy Derricks, Veronica Shields, Cleveland Fiscella, Kevin Epstein, Ronald Yu, Veronica Griggs, Jennifer Proc Natl Acad Sci U S A Social Sciences Disparities between Black and White Americans persist in medical treatment and health outcomes. One reason is that physicians sometimes hold implicit racial biases that favor White (over Black) patients. Thus, disrupting the effects of physicians' implicit bias is one route to promoting equitable health outcomes. In the present research, we tested a potential mechanism to short-circuit the effects of doctors’ implicit bias: patient activation, i.e., having patients ask questions and advocate for themselves. Specifically, we trained Black and White standardized patients (SPs) to be “activated” or “typical” during appointments with unsuspecting oncologists and primary care physicians in which SPs claimed to have stage IV lung cancer. Supporting the idea that patient activation can promote equitable doctor–patient interactions, results showed that physicians’ implicit racial bias (as measured by an implicit association test) predicted racially biased interpersonal treatment among typical SPs (but not among activated SPs) across SP ratings of interaction quality and ratings from independent coders who read the interaction transcripts. This research supports prior work showing that implicit attitudes can undermine interpersonal treatment in medical settings and provides a strategy for ensuring equitable doctor–patient interactions. National Academy of Sciences 2022-08-01 2022-08-09 /pmc/articles/PMC9371681/ /pubmed/35914161 http://dx.doi.org/10.1073/pnas.2203915119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Gainsburg, Izzy Derricks, Veronica Shields, Cleveland Fiscella, Kevin Epstein, Ronald Yu, Veronica Griggs, Jennifer Patient activation reduces effects of implicit bias on doctor–patient interactions |
title | Patient activation reduces effects of implicit bias on doctor–patient interactions |
title_full | Patient activation reduces effects of implicit bias on doctor–patient interactions |
title_fullStr | Patient activation reduces effects of implicit bias on doctor–patient interactions |
title_full_unstemmed | Patient activation reduces effects of implicit bias on doctor–patient interactions |
title_short | Patient activation reduces effects of implicit bias on doctor–patient interactions |
title_sort | patient activation reduces effects of implicit bias on doctor–patient interactions |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371681/ https://www.ncbi.nlm.nih.gov/pubmed/35914161 http://dx.doi.org/10.1073/pnas.2203915119 |
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