The Institute of Medicine’s Unequal Treatment report concluded that bias, stereotyping, prejudice, and clinical uncertainty on the part of healthcare providers may contribute to racial and ethnic disparities in health care. Healthcare providers are no more likely than the general public to express biases. This concurrent workshop session will discuss lessons learned from the limited research on strategies that may prevent bias and stereotyping in clinical practice or ameliorate its effects on health outcomes. Research suggests that implicit bias exists among clinicians, may be associated with treatment recommendations (Green, 2007), and is "potentially malleable, changing in response to situational cues and norms" (Blair, 2011). The Implicit Association Test (IAT) has been used to measure implicit bias (unconscious negative evaluation of one group and its members relative to another) among clinicians, and to examine the degree to which this bias affects health care and outcomes. Four panelists will introduce the topics, followed by a facilitated discussion.
- A conceptual research framework on implicit social cognition and intergroup bias (Irene Blair).
- The Implicit Association Test and results among medical students (Cayla Teal);
- Physician implicit bias and prediction of treatment decisions (Alexander Green);
- Health literacy and the provider/system role in improving communication and reducing bias (Jonathan VanGeest); and
Following brief introductory remarks by Olivia Carter-Pokras (moderator), panelists and the audience will engage in a facilitated discussion (Janice Sabin--discussant)