Spurred by the realization that the COVID-19 pandemic has extracted a much higher toll on minority populations, states have begun trying to help medical providers stop acting on such unconsciously held beliefs. — Stock image of a doctor with a COVID patient on a ventilator. (Getty Images)
In a groundbreaking study, Dr. Lisa Cooper, a leading researcher on racial health disparities at Johns Hopkins University, found that nearly all 40 participating Baltimore-area primary care doctors said they regarded their White and their Black patients the same.
But that’s not what her testing on their unconscious attitudes revealed.
Those tests, conducted a decade ago, showed that two-thirds of the physicians preferred White patients over Black. About the same percentage perceived White patients as more cooperative, while they perceived Black patients as more mistrustful and reluctant to comply with medical guidance.
It’s not that those doctors were racists or bad people, Cooper said. They genuinely meant to see all their patients as the same and to provide every one of them with the same quality of treatment. Unfortunately, she said, it’s not always what goes on in the conscious minds of medical providers that matters in the examination room.
“Health care providers, like everyone else … have an active way of processing information that is very conscious, but then we have these unconscious or implicit ways of processing information,” she said. “There are things we’ve been exposed to throughout our lives that lead us to think and behave in certain ways.”
We think certain things but aren’t aware that we are thinking them.
– Dr. Lisa Cooper, researcher on health disparities
In the past three years, states have begun trying to help medical providers stop acting on such unconsciously held beliefs, known as implicit bias. The efforts were stoked by the realization that the COVID-19 pandemic has extracted a much higher toll on minority populations, and the backdrop of the racial reckoning following the police murder of George Floyd in Minnesota and shootings of other unarmed Black people. States are aiming to reduce the gaps between White and minority populations in health outcomes, especially for women after giving birth.
Laws on bias training
Since 2019, at least four states—California, Maryland, Michigan and Washington—have adopted policies requiring at least some health care workers to take implicit bias training, some as a prerequisite for professional licensure or renewal. Most came through legislation, but Michigan’s was a gubernatorial directive.
Bills on implicit bias training in health care have been introduced in state legislatures over the past two years in many other states, including Illinois, Indiana, Nebraska, New York, Oklahoma, South Carolina, Tennessee and Vermont. Minnesota passed a law last year requiring obstetrics units to offer implicit bias training.
The measures have generally been initiated by Democrats but have received Republican votes as well.
Even without laws, some health systems in recent years began offering or requiring training in implicit bias, as have some medical schools, including Harvard, Icahn School of Medicine at Mount Sinai and Ohio State.
The training encourages providers to regard every patient as an individual without making assumptions based on race or income. It also is designed to enhance providers’ empathic skills and capacity to hear their patients. But experts in this area say the courses must be carefully tailored so as not to be accusatory, to acknowledge that carrying implicit biases does not reflect a character flaw or ill intent.
“Egalitarian people still commit acts of implicit bias,” said Michelle van Ryn, another of the foremost researchers on implicit bias in health care, whose Oregon company, Diversity Science, helps organizations achieve greater diversity and inclusion.
Cooper and other researchers say medical providers’ unconscious thoughts are often different from or even in conflict with consciously held beliefs. Stereotypes about categories of people that a doctor or nurse would reject if asked about them, may nonetheless lay latent in their minds, lodged there by early life experiences or subliminal messages absorbed from television, movies and the news.
Too often, especially when providers are multitasking or stressed, implicit biases cause them to deliver disparate medical treatment based on the race, gender, income, sexual preference or even weight of their patient, Cooper and other researchers have found.
Doctors may not refer Black patients for transplants because of an unconscious belief that they won’t adhere to arduous post-surgery regimens. They may harbor thoughts that women are more susceptible to anxiety and dismiss their complaints of chronic pain. They may see an immigrant who speaks little English and assume that the patient wouldn’t be able to comprehend a complex medical situation. Or they may ascribe a patient’s obesity to a lack of self-control rather than a genetic precondition.
The implicit bias phenomenon was recognized in a 2003 landmark Institute of Medicine book, “Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care,” which identified implicit bias as a contributing factor in the poorer health outcomes experienced by minority populations. Those disparities were thrown into stark relief during the COVID-19 pandemic, spurring policymakers to act.
Disparities in Maternal Mortality
In many of the states, the legislation has pertained to perinatal care, the time immediately before and after delivery. Last year, Minnesota passed a bill requiring all hospitals with obstetrics units and birthing centers to provide continuing education on implicit bias.
In 2020, the Maryland legislature, with no opposition, approved one of the first implicit bias training laws. It requires that all health care professionals treating patients in perinatal units receive such training at least once every two years.
Maryland state Del. Joseline Peña-Melnyk, a Democrat and lead sponsor of her state’s law, said the need was obvious: The maternal mortality among Black women is nearly four times as high as White women in Maryland, “and that is simply not acceptable,” Peña-Melnyk said.
While there are multiple reasons for that disparity, including different degrees of access to health care and health insurance, Peña-Melnyk was convinced that implicit bias among medical providers contributed to the problem.
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