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Playing the race card

by Lundy Braun, Anne Fausto-Sterling, Duana Fullwiley, Evelynn M. Hammonds, Alexandra E. Shields, William Quivers, Susan M. Reverby, Alondra Nelson on Thursday, 27 March 2008

Examining the ethical implications of racial profiling in medicine.

Is it good medical practice for physicians to ‘eyeball' a patient's race when assessing their medical status or even to ask them to identify their race? This question was captured in a 2005 episode of House M.D., Fox television's medical drama.

In the episode, a black patient with heart disease refuses a hospital physician's prescription for what is clearly supposed to be BiDil, the drug approved by the FDA only for "self-identified" African-Americans. Dr House, on seeing the patient for follow-up, insists on the same prescription.

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The patient again refuses, telling House, "I'm not buying into no racist drug, OK?" House, a white physician asks, "It's racist because it helps black people more than white people? Well, on behalf of my peeps, let me say, thanks for dying on principle for us."

The patient replies, "Look. My heart's red, your heart's red. And it don't make no sense to give us different drugs."

Who is right here, House or his patient? And what does this episode tell us about the way race plays itself out in the physician-patient clinical encounter? What of clinical importance can be learned by making a quick racial assessment? That an ACE inhibitor may not be effective? That screening for sickle cell anaemia is a waste of time?

Sorting patients by race may seem useful during a time-constrained interview, but we argue that acting on rapid racial assessment can lead to missed diagnoses and inappropriate treatments.

Both historical evidence and contemporary genetic research suggest that racial profiling in medicine can lead to serious medical errors. Assessing risk through race is more problematic than its typical depiction in the media and in scholarly literature. Some argue that race can stand in for human genetic variance until individualised genetic medicine is fully developed.

But such a position produces a critical paradox: the rates of morbidity and death from particular diseases are not uniformly distributed among socially defined racial and ethnic groups throughout the world.

In order to monitor the success of attempts to address these health inequalities, we need to keep health records based on racial and ethnic categories. This is a descriptive use of ethnoracial categories.

Descriptive statistics derived from population surveys using racial definitions based on self-identity, however, are not biological or attributive categories appropriate for individual treatment. How should physicians treat individuals who present with a perceived race but who may not bear the average characteristics of a studied population, even while collecting data based on perceived race or ethnicity and qualifying individuals for clinical research trials?

From census categories to research plans

Racial categories, with shifting meanings and culturally determined parameters, have always shaped medical practice and thinking, leading to vigorous debates about their use in epidemiology, public health, and medical research journals. Throughout the 20th century, race had no standard definition in medical, epidemiological, or health services research. In epidemiology, race vaguely referred to "persons who are relatively homogenous with respect to biologic inheritance".

One survey of medical and epidemiological dictionaries found that well into the 1980s definitions assumed that race reflects "underlying genetic homogeneity" rather than (or even in addition to) shared social experience. Few of the studies making claims for race controlled for socioeconomic status or lifestyle variables.

The embedding of legal and social practices into the ‘common sense' meaning of race in medical research has been developing for centuries. In the last several decades, poorly defined racial categories became reified in biomedical research practices, in part because of the widespread use of US census categories.

Since 2001, NIH-funded researchers have been required to categorise study participants into the five racial or ethnic categories defined by US Office of Management and Budget (OMB)Directive No. 15.

Thus, state-sanctioned but ill-defined categories of race have entered medical research and practice with the admirable intent of ensuring full racial and gender inclusion in clinical trials, but with unanticipated consequences for health outcomes.

Researchers rely on respondents' self-identification to collect data on race and ethnicity. Every research grant must report its study population in these terms, leading to their universal use in recruitment of research subjects.

It thus becomes almost ‘natural' to use these same variables in the subsequent analysis and theoretical framing of the research, even though there is nothing particularly ‘natural' about the census categories.

While the OMB's categories dominate researchers' analyses of human differences in disease, granting agencies' regulations do little to clarify the extent to which racial and ethnic categories are intended to capture biological, cultural, or social dimensions of human diversity.

The US Institute of Medicine, for example, holds that race should not be considered a biological reality, but rather "a construct of human variability based on perceived differences in biology, physical appearance, and behaviour". And self-identities are given reality by the very categories we use to describe them.

Over the past several years, editors at leading medical and scientific journals have promoted a much needed dialogue among researchers and practitioners on the meaning of racial categories. The current situation, however, remains confusing.

As genetic findings assume an increasingly prominent place in biomedical research, some have concluded that self-identified race/ethnicity, routinely collected in biomedical research studies, is a reasonable proxy for genetic homogeneity and may lead to important insights into health disparities. Others, citing the genetic heterogeneity within self-identified groups, argue that race should not be used in genetic research.

A related perspective comes from those who argue that self-identified racial/ethnic categories may be practical for recruitment into studies, but should not be used in genetic analyses, given that more biologically precise measures of human genetic heterogeneity are available.

A recent study of geographic patterns of genetic variation, for example, found that "commonly used ethnic labels are both insufficient and inaccurate representations of the inferred genetic clusters, and that drug-metabolising profiles...;differ significantly among the clusters".

History repeating

Historically created racial categories often carry hidden meanings. Until 2003 medical reports were cataloged in PubMed/MEDLINE and in the old Surgeon General's Index Catalogue using 19th century racial categories such as Caucasoid, Monogolid, Negroid and Australoid.

Originally suggesting a scale of inferiority and superiority, today such groupings continue to connote notions of human hierarchy. More importantly, PubMed's newer categories, such as continental population group and ancestry group, merely overlay the older ones.

Assuming that "African" origin can capture the complexity of migrations, artificial boundaries, and gene drift is scientifically unsupportable. So too is continued use of the concept of Caucasian to emphasise the similarities between disparate European groups rather than their population substructures or variations.

Racial definitions are historically and nationally specific. In her comparison of the history of racial categories in the US and Brazilian census from the late 18th century to the present, political scientist Melissa Nobles demonstrated that categories emerge and are deployed in different ways over time.

For example, during the mid-19th to the early 20th centuries, at the height of US anxiety about "miscegenation," categories such as "mulatto" were vehicles for expressing and containing cultural anxiety about racial purity. Bolstered by scientific ideas about race, data collected on the numbers of "mulattoes" were shaped by the desire to prove that "hybrids" would die out.

Another example of the creation and stabilisation of racial categories occurred in the mid-20th century under the apartheid government in South Africa. Obsessed with racial purity, the nationalist government passed the first Population Registration Act in 1950, which defined three groups-coloured, white, and native.

According to the Act, a "‘coloured person' means a person who is not a white person, or a native...‘native' means a person who in fact is or is generally accepted as a member of any aboriginal race or tribe of Africa...‘white person' means a person who in appearance obviously is, or who is generally accepted as a white person, but does not include a person who, although in appearance obviously a white person, is generally accepted as a coloured person".

Over the next 30 years, however, numerous amendments attempted to harden those boundaries. By 1967, the definition of a white person was extended to include "his habits, education and speech and deportment and demeanor in general". Coloured became a residual category, comprised of any person who could not be neatly assigned to one of the two main racial groups.

In this definition, as with racial categories in both the US and Brazil, cultural, class, and biological aspects of human variability are confounded. Since the 1994 dismantling of the apartheid state, racial or ‘population' categorisation remains a subject of discomfort and public debate.

Categories such as white/European, African, coloured, and Asian, nonetheless, are still widely used in healthcare settings and in studies of genetic predisposition to disease in South Africa. Differing local conventions in racial categorisation present difficulties in transnational collaborative research and peer review in international publications.

In the early 20th century in the United States, shades of blackness were assumed to affect medical outcomes. This view generated supposed facts (the "fact" that blacks have lesser lung function, for example). Once a "fact" was linked to race rather than unhealthy living and working conditions, it resisted further challenge and became part of clinical judgments.

For example, until the widespread use of penicillin, induced malarial fevers were used to treat neurosyphilis and differing malarial strains were deployed based on racial lines. As one key 1932 textbook explained, black resistance to tertian malaria could be overcome "the lighter or closer to the Caucasian the particular Negro is".

None of the texts explained how to measure colour or why it was assumed that blacks, unlike whites, would be exposed to differing malarial strains, as if the mosquitoes respected residential segregation and could not cross a road or tracks.

Even though retrospective data made it clear that syphilis was more likely to attack the cardiovascular rather than the neurological system in both blacks and whites, it was assumed that since African Americans did more labour than "brainwork," they were more at risk for cardiovascular complications. Black cardiovascular deaths, in turn, were often labeled syphilitic in origin without the benefit of autopsy, or misread when postmortems were done.

The impact on treatment

The debate remains. Even given the history of the (mis)use of racial categories, are they nevertheless useful in the physician's office? Does a quick administrative assessment of race help to diagnose a presenting ailment, or accurately assess future risk of illness? Environmental exposures, family histories, the stress of dealing with racism, access to and quality of care may be left unexamined if a physician simply diagnoses "race".

In the US, a rule that assumes "one drop" of African blood defines an individual as African American seems to prevail. Presented with a black patient, in the face of medical uncertainty, rather than applying individual analysis the doctor can fall back upon general statements that derive from population studies, such as "You should get tested for glaucoma because you are African American and African Americans have a higher rate of glaucoma.

A dark-skinned, curly-headed person who identifies as African American may, indeed, have much in his or her history and upbringing to justify that identification.

But he or she may also have a white grandparent and several Cherokee ancestors. Thus, returning to the example of glaucoma, it is more important to know a patient's family history than to assess his or her race. And collecting family history ought to mean not only compiling a list of which diseases family members have, but making some attempt to assess common (familial) habits such as diet and life experiences.

Similarly, when the history of passing for white is ignored, those who identify themselves as ‘white' are assumed to have no ancestral ‘black blood'. Finally, immigration patterns constantly change.

A ‘black' person walking into a Boston, Massachusetts clinic could easily be the child of a recent immigrant from Ethiopia or Brazil who has a genetic makeup as well as cultural and environmental exposures that differ significantly from the descendents of 19th century US slaves from the western coast of Africa.

Once race is presumed, the ways in which multiple genetic inheritances interact with the environment within that individual seem to disappear. Clinical clues can become invisible. Even with the relatively few diseases ‘known' to have a 1:1 relationship between a single mutant allele and a disease phenotype, reliance on a general idea of race can lead to misdiagnosis.

In a different American television series, ER, a "white" patient with sickle cell anaemia was misdiagnosed because the condition is known as a "black" illness. Sickle cell anaemia (homozygous HbSS) results from a genetic alteration affecting the haemoglobin protein. Its high prevalence in some populations bespeaks their historical burden of falciparum malaria.

The simple gene change responsible for sickle haemoglobin spans the continent of Africa and beyond. Its prevalence in the sub-Saharan region ranges between 10% to 40%. Within even smaller geographical areas this diversity is also apparent.

In the tiny West African country of The Gambia, the Mandinka people have an extremely low incidence at 4%, the Wolof are nearly on par with black Americans at 14%, and the more socially endogenous Fula hover just below 30%.

Nonetheless, in a clinical encounter in North America, where census category definitions of race prevail, these groups and their descendents would, most likely, occupy the category "Black or African American.

Moreover, some of the highest rates in the world are found in India, with rates of 33% and 35% in the Pardhan and Oktar people, respectively. Sickle cell disease is thus not "race-bound".

So what is the practising physician to do?

A question of culture

Clinicians will make better educated patient evaluations if they familiarise themselves with the history of the particular communities they serve. For the clinical encounter, the cultural competency paradigm is sometimes offered as a tool for improving quality of care. Cultural competency advocates have spurred curricular reform so that clinicians in training learn to be attentive to cross-cultural issues.

A cultural competency paradigm has recently been suggested as a powerful tool in the arsenal to combat the prevalence of racial and ethnic health disparities. However, when not thoughtfully executed, the cultural competency paradigm can abet the simplistic thinking on race it seeks to address.

On the one hand, this perspective brings greater attention to the attitudes and behaviors that patients may bring to the clinical encounter. On the other hand such cultural stereotyping could produce poor health outcomes if the clinician is more attentive to what he or she thinks they know about this "type" of patient than to the individual before them.

Race and tailored treatments

Medical researchers want tools that will allow physicians to understand how the individual biosocial system represented by a patient standing before them has either produced symptoms, or has a certain future likelihood of doing so. Whether or not the recent announcement of a US$10 million cash award for the first team to sequence 100 genomes in 10 days will get us closer to individual genomic medicine remains to be seen.

The case of BiDil, the drug the fictional Dr House prescribed to his skeptical African American patient, stands as a cautionary tale. Depending on how the age-specific morbidity data on heart disease are read, the case for the urgency of additional treatments for African Americans can be made.

Those advocating for BiDil argued that the dangers of the disease are so grave that there was a moral necessity for a race-specific drug, while others found the statistical case for differential morbidity to be unconvincing.

By primarily relying on a clinical trial that only included black men and women, claims were made that the drug worked for those who defined themselves as African American. Further, earlier studies that purported to show that ACE inhibitors - an alternative to the active therapies in BiDil - did not work as well on blacks failed to acknowledge that this was not true for all black people in the study.

Other researchers who work on drug metabolising enzymes have argued bluntly that "skin pigment is a lousy surrogate for drug-metabolism status or most any aspect of human physiology".

BiDil's real impact may therefore be less on actual patient care (since physicians are being encouraged to use the drug "off-label" for anyone they please) and more on the fact that the US government gave its stamp of approval for what bioethicist Sandra Soo-Jin Lee labels "racial profiling in biomedicine".

Although the drug may reify race, this may not be a useful guide to determine who needs it.

In the end Dr House may be right about how medicine is practised and how drugs are marketed, but his patient understands more about the underlying biology..

References supplied.

Authors

• Lundy Braun is with the Departments of Pathology and Laboratory Medicine and African Studies, Brown University, US.

• Anne Fausto-Sterling is with the Department of Molecular and Cellular Biology and Biochemistry, Brown University, US.

• Duana Fullwiley is with the Department of Anthropology and African and African American Studies, Harvard University, USA.

• Evelynn M. Hammonds is senior vice provost for Faculty Development and Diversity, and is with the History of Science and of African and African American Studies programmes at Harvard University, USA.

• Alexandra E. Shields is with the Harvard/MGH Center on Genomics, Vulnerable Populations and Health Disparities, Massachusetts General Hospital, USA.

• William Quivers is with the Department of Physics, Wellesley College, USA.

• Susan M. Reverby is with the Women's Studies Department, Wellesley College, United States of America.

• Alondra Nelson is with the Departments of Sociology and African American Studies, Yale University, US.

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