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Published on: April 23, 2014
Healing Health Care Disparities: Development and Pilot Testing of a Virtual Reality Implicit Bias Training Module for
Charee M Thompson1, Mardia J Bishop1, Tiffani C Dillard2
1Department of Communication, University of Illinois Urbana-Champaign.
Abstract:
Grounded in communication models of cultural competence, this study reports on the development and testing of the first module in a larger virtual reality (VR) implicit bias training for physicians to help them better: (a) recognize implicit bias and its effects on communication, patients, and patient care; (b) identify their own implicit biases and exercise strategies for managing them; and (c) learn and practice communicating with BIPOC patients in a culture-centered manner that demonstrates respect and builds trust. Led by communication faculty, a large, interdisciplinary team of researchers, clinicians, and engineers developed the first module tested herein focused on training goal (a). Within the module, participants observe five scenes between patient Marilyn Hayes (a Black woman) and Dr. Richard Flynn (her obstetrician, a White man) during a postpartum visit. The interaction contains examples of implicit bias, and participants are asked to both identify and consider how implicit bias impacts communication, the patient, and patient care. The team recruited 30 medical students and resident physicians to participate in a lab-based study that included a pretest, a training experience of the module using a head-mounted VR display, and a posttest. Following the training, participants reported improved attitudes toward implicit bias instruction, greater importance of determining patients' beliefs and perspectives for history-taking, treatment, and providing quality health care; and greater communication efficacy. Participants' agreement with the importance of assessing patients' perspectives, opinions, and psychosocial and cultural contexts did not significantly change. Implications for medical education about cultural competency and implicit bias are discussed.
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