Bias in Medicine - An Untreated Epidemic

Bias in Medicine – An Untreated Epidemic

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Bias – noun – prejudice in favor of or against one thing, person, or group compared with another, usually in a way considered to be unfair.

Humans are, by nature, biased in favor of their own group – village, country, race, social status – over “others” from outside that group. This tendency toward bias against those different from us is rooted in how humans process the information they get from their surroundings – “is that friend or foe?” is a pretty basic processing form. If someone looks, talks, or smells “different,” the most basic parts of the human brain can start firing warnings about stranger danger. That’s called a cognitive filter, or cognitive distortion [1].

How does this impact medicine? Since medicine is a human endeavor, everyone involved is bringing their own implicit biases [2] into the room with them. It’s human to feel a little uncomfortable with someone who looks, or acts differently than you. However, in a medical setting, what happens when a clinician “others” a patient? Or when a patient does the same thing to a clinician? My educated guess is that this drives down positive health outcomes, creating burnout in clinical staff and hampering recovery in patients.

I’m not the only one asking questions about bias in medicine. My fellow funny person (I am, after all, the “comedy health analyst [3]”) John Oliver devoted most of a recent episode of his HBO series “Last Week Tonight” to the topic [4], which I’d say is required viewing for anyone interested in this segment of health policy. In the piece, Oliver and his crew stack up some serious evidence of racial and gender bias in medicine, particularly in the cases of women having heart attacks [5], and women of color giving birth [6].

How should we – all of us, patients and the clinicians who prove our medical care – address this issue? A good first step would be to recognize that we’re all a bit racist [7] (link is to a Psychology Today article with that very title), which would at least put us in a frame of mind to question our assumptions about the person in front of us in the clinic, or the exam room, or the hospital bed – whichever side of the stethoscope we’re on.

If you’re willing to take that first step, your next step could include taking any of the Teaching Tolerance Project Implicit [8] self-tests on bias with regard to gender or race.

“I wouldn’t have seen it if I hadn’t believed it” is a quote often attributed to Canadian philosopher Marshall McLuhan [9] – a perceptive twist on the “seeing is believing” aphorism, one that asks us to challenge our assumptions about the people we encounter in our daily lives, in medicine and beyond.

Self-awareness leads to a better understanding of others. Better understanding of others leads to less distrust, and more cooperation between individual humans, and among the groups we gather in. Which just might improve human health overall. Let’s test that theory, shall we?

Resource Links

[1] cognitive filter, or cognitive distortion

[2] implicit biases

[3] comedy health analyst

[4] devoted most of a recent episode of his HBO series “Last Week Tonight” to the topic

[5] women having heart attacks

[6] women of color giving birth

[7] we’re all a bit racist

[8] Teaching Tolerance Project Implicit

[9] Canadian philosopher Marshall McLuhan