Patient activation reduces effects of implicit bias on doctor–patient interactions

Author:

Gainsburg Izzy123ORCID,Derricks Veronica34,Shields Cleveland5,Fiscella Kevin6ORCID,Epstein Ronald6,Yu Veronica6ORCID,Griggs Jennifer78ORCID

Affiliation:

1. Ross School of Business, University of Michigan, Ann Arbor, MI 48109

2. John F. Kennedy School of Government, Harvard University, Cambridge, MA 02183

3. Department of Psychology, University of Michigan, Ann Arbor, MI 48109

4. Department of Psychology, Indiana University–Purdue University Indianapolis, Indianapolis, IN 46202

5. Human Development & Family Studies, Purdue University, West Lafayette, IN 47906

6. Department of Family Medicine, University of Rochester School of Medicine, Rochester, NY 14642

7. Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109

8. Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109

Abstract

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.

Funder

HHS | NIH | National Cancer Institute

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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