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Race as a Risk Marker, Not a Risk Factor: Revising Race-Based Algorithms to Protect Racially Oppressed Patients.
Jessica P Cerdeña1,2,3, Marie V Plaisime4,5, Luisa N Borrell6,7
1Department of Family Medicine, Middlesex Health, Middletown, CT, USA. jessica.cerdena@uconn.edu.
Journal of General Internal Medicine
|July 9, 2024
Summary
Removing race from clinical algorithms is advised to prevent health disparities. Race is a marker, not a cause, of poor health outcomes, with structural racism being the true driver.
Area of Science:
- Public Health
- Medical Ethics
- Health Disparities Research
Background:
- Clinical algorithms offer efficiency but risk worsening health inequities.
- Race is a significant marker for health outcomes, but not an inherent risk factor.
- Current medical algorithms may incorrectly attribute health effects to race itself.
Discussion:
- A race-conscious approach highlights structural racism as the determinant of health for oppressed groups.
- Race acts as a proxy for complex social, economic, and environmental factors.
- Debates on race in algorithms necessitate understanding its role as a marker versus a cause.
Key Insights:
- Structural racism, not race itself, drives health disparities.
- Clinical algorithms using race may perpetuate inequities if not critically examined.
- A race-conscious medical perspective is crucial for equitable healthcare.
Outlook:
- Future research should focus on identifying and mitigating structural determinants of health.
- Policy interventions must address color-evasive racism.
- Adopting race-conscious medicine principles is essential for equitable clinical decision-making.
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