Race as a Risk Marker, Not a Risk Factor: Revising Race-Based Algorithms to Protect Racially Oppressed Patients.

Emerging consensus in the medical and public health spheres encourages removing race and ethnicity from algorithms used in clinical decision-making. Although clinical algorithms remain appealing given their promise to lighten the cognitive load of medical practice and save time for providers, they risk exacerbating existing health disparities. Race is a strong risk marker of health outcomes, yet it is not a risk factor. The use of race as a factor in medical algorithms suggests that the effect of race is intrinsic to the patient or that its effects can be distinct or separated from other social and environmental variables. By contrast, incisive public health analysis coupled with a race-conscious perspective recognizes that race serves as a marker of countless other dynamic variables and that structural racism, rather than race, compromises the health of racially oppressed individuals. This perspective offers a historical and theoretical context for the current debates regarding the use of race in clinical algorithms, clinical and epidemiologic perspectives on "risk," and future directions for research and policy interventions that combat color-evasive racism and follow the principles of race-conscious medicine.

Considerations, Caveats, and Suggestions for the Use of Polygenic Scores for Social and Behavioral Traits.

Polygenic scores (PGS) are increasingly being used for prediction of social and behavioral traits, but suffer from many methodological, theoretical, and ethical concerns that profoundly limit their value. Primarily, these scores are derived from statistical correlations, carrying no inherent biological meaning, and thus may capture indirect effects. Further, the performance of these scores depends upon the diversity of the reference populations and the genomic panels from which they were derived, which consistently underrepresent minoritized populations, leading to poor fit when applied to diverse groups. There is also inherent danger of eugenic applications for the information gained from these scores, and general risk of misunderstandings that could lead to stigmatization for underrepresented groups. We urge extreme caution in use of PGS particularly for social/behavioral outcomes fraught for misinterpretation, with potential harm for the minoritized groups least likely to benefit from their use.

Genomic supremacy: the harm of conflating genetic ancestry and race.

BACKGROUND: Recent studies have reignited the tinderbox of debate surrounding the use of race and ancestry in medicine. These controversial studies have argued for a strong correlation between genetic ancestry and race, justifying continued use of genetic ancestry measures in studies of disease. These studies contend that increased use of continental ancestry estimates can inform clinical risk assessments and management. Further, recent studies of racial corrections used in clinical algorithms, such as those used to estimate 'normal' lung function, also advocate for use of genetic ancestry in place of race for refining risk algorithms. MAIN BODY: These positions are misleading, harmful, and reflect superficial interpretations of population genetics. In this Perspective, we argue that continental genetic ancestry, often proxied by race, serves as a poor indicator of disease risk, and reinforces racialized inequities. CONCLUSION: Instead, we endorse that racial disparities in disease should be investigated by rigorous measures of structural racism alongside careful measures of genetic factors in relevant disease pathways, rather than relying on genetic ancestry or race as a crude proxy for disease-causing alleles.

The prenatal care color line and Latina migrant motherhood.

Drawing from ethnographic research with Latin American migrant mothers seeking prenatal care at a safety net clinic in southern Connecticut, I describe the racial dynamics of a medical hierarchy that situates White providers and nurses above Black and Brown medical assistants and patients, terming this the prenatal care color line. I characterize three segments of the prenatal care color line: through (1) onerous enrollment in prenatal care support that strips rights from migrant mothers; (2) differences in racialized embodiment that harden essentialist and stereotyped notions surrounding Latinx reproduction, making the experience of pregnancy and birth a process of race-making; and (3) obstetric racism manifest through both denying or delaying critical medical care to Latinx pregnant patients while also overmedicalizing their uncomplicated births. I argue that the presence of the prenatal care color line-in my study clinic as in other safety net clinics-permits the harsher racialization of Latinx birthers.

Race, Ethnicity, and Immigration Status in a Medical Licensing Educational Resource: a Systematic, Mixed-Methods Analysis.

BACKGROUND: Medical students preparing for the United States Medical Licensing Exam (USMLE) Step 2 Clinical Knowledge (CK) Exam frequently use the UWorld Step 2 CK Question Bank (QBank). Over 90% of medical students use UWorld QBanks to prepare for at least one USMLE. Although several questions in the QBank mention race, ethnicity, or immigration status, their contributions to the QBank remain underexamined. OBJECTIVE: We conducted a systematic, mixed-methods content analysis to assess whether and how disease conditions might be racialized throughout this popular medical education resource. DESIGN: We screened 3537 questions in the QBank between May 28 and August 11, 2020, for mentions of race, ethnicity, or immigration status. We performed multinomial logistic regression to assess the likelihood of each racial/ethnic category occurring in either the question stem, answer explanation, or both. We used an inductive technique for codebook development and determined code frequencies. MAIN MEASURES: We reviewed the frequency and distribution of race or ethnicity in question stems, answer choices, and answer explanations; assessed associations between disease conditions and racial and ethnic categories; and identified whether and how these associations correspond to race-, ethnicity-, or migration-based care. RESULTS: References to Black race occurred most frequently, followed by Asian, White, and Latinx groups. Mentions of race/ethnicity varied significantly by location in the question: Asian race had 6.40 times greater odds of occurring in the answer explanation only (95% CI 1.19-34.49; p < 0.031) and White race had 9.88 times greater odds of occurring only in the question stem (95% CI 2.56-38.08; p < 0.001). Qualitative analyses suggest frequent associations between disease conditions and racial, ethnic, and immigration categories, which often carry implicit or explicit biological and genetic explanations. CONCLUSIONS: Our analysis reveals patterns of race-based disease associations that have potential for systematic harm, including promoting incorrect race-based associations and upholding cultural conventions of White bodies as normative.

Resculpting Professionalism for Equity and Accountability.

Recent controversies over the characteristics of "professionalism" and its enforcement by medical educators underscore the racialized and gendered norms implicit in this practice. In this essay, we describe the ways nebulous definitions of "professionalism" imbue White, cisgender, straight, and able-bodied standards to police the boundaries of belonging in medicine. As such, marginalized trainees remain unfinished sculptures, forced to chisel away dimensions of experience and expression to conform to "professional" standards. We seek to resculpt professionalism in a way that centers patients and trainees currently at the margins. This will strengthen the increasingly diverse workforce and ensure that they can effectively address the needs of patients often excluded from quality care.

Experiences of Trauma and DNA Methylation Profiles among African American Mothers and Children.

Potentially traumatic experiences have been associated with chronic diseases. Epigenetic mechanisms, including DNA methylation (DNAm), have been proposed as an explanation for this association. We examined the association of experiences of trauma with epigenome-wide DNAm among African American mothers (n = 236) and their children aged 3-5 years (n = 232; N = 500), using the Life Events Checklist-5 (LEC) and Traumatic Events Screening Inventory-Parent Report Revised (TESI-PRR). We identified no DNAm sites significantly associated with potentially traumatic experience scores in mothers. One CpG site on the ENOX1 gene was methylome-wide-significant in children (FDR-corrected q-value = 0.05) from the TESI-PRR. This protein-coding gene is associated with mental illness, including unipolar depression, bipolar, and schizophrenia. Future research should further examine the associations between childhood trauma, DNAm, and health outcomes among this understudied and high-risk group. Findings from such longitudinal research may inform clinical and translational approaches to prevent adverse health outcomes associated with epigenetic changes.

Racial and Ethnic Differences in Psychiatry Resident Prescribing: a Quality Improvement Education Intervention to Address Health Equity.

OBJECTIVE: Quality improvement (QI) tools can identify and address health disparities. This paper describes the use of resident prescriber profiles in a novel QI curriculum to identify racial and ethnic differences in antidepressant and antipsychotic prescribing. METHODS: The authors extracted medication orders written by 111 psychiatry residents over an 18-month period from an electronic medical record and reformatted these into 6133 unique patient encounters. Binomial logistic models adjusted for covariates assessed racial and ethnic differences in antipsychotic or antidepressant prescribing in both emergency and inpatient psychiatric encounters. A multinomial model adjusted for covariates then assessed racial and ethnic differences in primary diagnosis. Models also examined interactions between gender and race/ethnicity. RESULTS: Black (adjusted OR 0.66; 95% CI, 0.50-0.87; p < 0.01) and Latinx (adjusted OR, 0.65; 95% CI, 0.49-0.86; p < 0.01) patients had lower odds of receiving antidepressants relative to White patients despite diagnosis. Black and Latinx patients were no more likely to receive antipsychotics than White patients when adjusted for diagnosis. Black (adjusted OR 3.85; 95% CI, 2.9-5.2) and Latinx (adjusted OR 1.60; 95% CI, 1.1-2.3) patients were more likely to receive a psychosis than a depression diagnosis when compared to White patients. Gender interactions with race/ethnicity did not significantly change results. CONCLUSIONS: Our findings suggest that racial/ethnic differences in antidepressant prescription likely result from alternatively higher diagnosis of psychotic disorders and prescription of antipsychotics in Black and Latinx patients. Prescriber profiles can serve as a powerful tool to promote resident QI learning around the effects of structural racism on clinical care.

Storylines of family medicine XI: professional identity formation-nurturing one's own story.

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine, as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'XI: professional identity formation-nurturing one's own story', authors address the following themes: 'The social construction of professional identity', 'On becoming a family physician', 'What's on the test?-professionalism for family physicians', 'The ugly doc-ling', 'Teachers-the essence of who we are', 'Family medicine research-it starts in the clinic', 'Socially accountability in medical education', 'Personal philosophy and how to find it' and 'Teaching and learning with Storylines of Family Medicine'. May these essays encourage readers to find their own creative spark in medicine.

Racial, Gender, and Size Bias in a Medical Graphical Abstract Gallery: A Content Analysis.

Introduction: Graphical abstracts may enhance dissemination of scientific and medical research but are also prone to reductionism and bias. We conducted a systematic content analysis of the Journal of Internal Medicine (JIM) Graphical Abstract Gallery to assess for evidence of bias. Materials and Methods: We analyzed 140 graphical abstracts published by JIM between February 2019 and May 2020. Using a combination of inductive and deductive approaches, we developed a set of codes and code definitions for thematic, mixed-methods analysis. Results: We found that JIM graphical abstracts disproportionately emphasized male (59.5%) and light-skinned (91.3%) bodies, stigmatized large body size, and overstated genetic and behavioral causes of disease, even relative to the articles they purportedly represented. Whereas 50.7% of the graphical surface area was coded as representing genetic factors, just 0.4% represented the social environment. Discussion: Our analysis suggests evidence of bias and reductionism promoting normative white male bodies, linking large bodies with disease and death, conflating race with genetics, and overrepresenting genes while underrepresenting the environment as a driver of health and illness. These findings suggest that uncritical use of graphical abstracts may distort rather than enhance our understanding of disease; harm patients who are minoritized by race, gender, or body size; and direct attention away from dismantling the structural barriers to health equity. Conclusion: We recommend that journals develop standards for mitigating bias in the publication of graphical abstracts that (1) ensure diverse skin tone and gender representation, (2) mitigate weight bias, (3) avoid racial or ethnic essentialism, and (4) attend to sociostructural contributors to disease.

Race-based reporting and participation of Black individuals in registered pain clinical trials, United States, 2000 to 2019.

ABSTRACT: There are numerous, well-established racial disparities in the management of pain. The degree to which these are evident at the stage of conducting clinical trials is unknown. To address this knowledge gap, we examined race-based reporting, participation of Black individuals, and the factors associated with reporting and participation in pain clinical trials in the United States. Data were extracted from Clinicaltrials.gov and published articles. One thousand two hundred trials met our inclusion criteria; 482 (40.2%) reported participant race. More recent, publicly funded, and larger trials were more likely to report race. Of 82,468 participants included in pain clinical trials that reported race, 15,101 were Black individuals (18.3%). Participation of Black individuals was significantly associated with pain type (ß = +27% in cardiovascular disease pain compared with acute pain, P < 0.05), study population (ß = +33% and +7% in pain in minoritized populations and women, respectively, compared with general population, P < 0.05), pain intervention (ß = +7.5% for trials of opioid interventions compared with nonopioid interventions, P < 0.05), and a diverse team of investigators (ß = +8.0% for studies incorporating a visible non-White investigator compared with those that did not, P < 0.05). Our results indicate that representation of Black participants in pain clinical trials generally aligns with national demographics in the United States. Increased representation corresponds with health conditions more prevalent among Black individuals (eg, cardiovascular disease) and with a diverse study team composition. Despite these encouraging results, less than half of pain trials reported race, which introduces potential publication bias and limits external validity.

Epigenetic citizenship and political claims-making: the ethics of molecularizing structural racism.

Epigenetics has generated excitement over its potential to inform health disparities research by capturing the molecular signatures of social experiences. This paper highlights the concerns implied by these expectations of epigenetics research and discusses the possible ramifications of 'molecularizing' the forms of social suffering currently examined in epigenetics studies. Researchers working with oppressed populations-particularly racially marginalized groups-should further anticipate how their results might be interpreted to avoid fueling prejudiced claims of biological essentialism. Introducing the concept of 'epigenetic citizenship,' this paper considers the ways environmentally responsive methylation cues may be used in direct-to-consumer testing, healthcare, and biopolitical interactions. The conclusion addresses the future of social epigenetics research and the utility of an epigenetic citizenship framework.

"We Need Health for All": Mental Health and Barriers to Care among Latinxs in California and Connecticut.

Latinx (im)migrant groups remain underserved by existing mental health resources. Past research has illuminated the complex factors contributing to this problem, including migration-related trauma, discrimination, anti-immigrant policies, and structural vulnerability. This paper uses decolonial-inspired methods to present and analyze results from two studies of Latinx (im)migrant communities in central California and southern Connecticut in the United States. Using mixed quantitative and qualitative analysis, we demonstrate the intersectional complexities to be addressed in formulating effective mental health services. Relevant social and structural factors including knowledge of mental health, access to insurance, and experiencing discrimination were significantly associated with anxiety symptoms, based on linear regression analysis. Ethnographic interviews demonstrate how complex trauma informs mental health needs, especially through the gendered experiences of women. Overlapping aspects of gender, language barriers, fear of authorities, and immigration status contoured the lived experiences of Latinx (im)migrants. Thematic analyses of open-ended survey responses also provide recommendations for solutions based on the experiences of those directly affected by these health disparities, particularly relating to healthcare access, affordability, and capacity. Building from these findings and past research, we recommend the adoption of a comprehensive model of mental health service provision for Latinx (im)migrants that takes into account Indigenous language access, structural competency, expanded health insurance, and resources for community health workers.