Date: August 31st, 2021

Reference: McLean et al. Interphysician weight bias: A cross-sectional observational survey study to guide implicit bias training in the medical workplace. AEM Sept 2021

Guest Skeptic: Dr. Corey Heitz is an emergency physician in Roanoke, Virginia. He is also the CME editor for Academic Emergency Medicine.

Case: You are working in the emergency department (ED) with the new resident, one of whom is overweight. You overhear his colleagues wonder where he went, chuckling, and one of them comments that “he probably went for second breakfast.” Realizing that these residents are making fun of their colleague’s weight, you decide to address the issue.

Background: We have talked about biases many times on the SGEM. Usually when we use the term bias it is in the context of something that systematically moves us away from the “truth”. Science does not make truth claims and the term is used as a shorthand for the best point estimate of an observed effect size.

An example in the medical literature would be selection bias. This is when subjects for a research study are not randomly selected. This can skew the results and impact the conclusions.  Another example would be publication bias. Studies with “positive” results are more likely to be published while those with “negative” results are more likely to end up in the bottom of the file drawer.

There are many other types of bias in the practice of medicine. Some of my favourite ones are anchoring bias, base-rate neglect, and hindsight bias. For a description of these and many more check out Dr. Pat Croskerry list of 50 cognitive biases in medicine. You can also click on the codex for an extensive list of different biases.

This SGEM episode focuses on a kind of bias as defined by the common English language as “a particular tendency, trend, inclination, feeling, or opinion, especially one that is preconceived or unreasoned”. It is a sense of prejudice or stereotyping and the formation of a foregone conclusion independent of current evidence.

There are many biases in the house of medicine. We have discussed some of them on  the SGEM. They include things like age, gender, socioeconomic status, race, and other factors. The gender pay gap is one of the topics that has been spoken about most on the SGEM. A paper by Wiler et al AEM 2019 showed females in academic emergency medicine were paid ~$12,000/year less than their male colleagues (SGEM#248).

The September 2021 issue of AEM is a special issue focusing on biases in emergency medicine. It includes articles on racial, ethnic and gender disparities. One specific topic jumped out as something that has not received much attention, weight bias. There is literature on physicians’ weight biases towards patients and patients’ weight bias towards physicians. However, there is limited information on physician-to-physician weight bias.

Clinical Question: What is the prevalence of interphysician implicit, explicit, and professional weight bias?

Reference: McLean et al. Interphysician weight bias: A cross-sectional observational survey study to guide implicit bias training in the medical workplace. AEM Sept 2021

* Population: Practicing physicians and physicians-in-training in North America

* Excluded: Those who did not consent; did not identify as physicians or physicians-in-training; or were not currently residi...