Racial referral bias in cardiac computed tomography: Differences, disparities or discrimination?

Benjamin J W Chow1, Saad Balamane2, Anahita Tavoosi2

  • 1University of Ottawa Heart Institute, Department of Medicine (Cardiology), Canada; University of Ottawa, Department of Radiology, Canada.

Insights

Racial disparities in Cardiac CT (CCT) referrals were observed, with White patients referred at a higher rate than non-White patients. These referral patterns were independent of physician race or experience, highlighting a need to address systemic biases in diagnostic testing.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Health Disparities Research

Background:

  • Existing disparities in medical care can negatively impact patient outcomes.
  • Understanding racial biases in diagnostic testing is crucial for equitable healthcare.
  • Cardiac CT (CCT) utilization is an area where such disparities may manifest.

Purpose of the Study:

  • To investigate racial disparities in diagnostic Cardiac CT (CCT) referrals.
  • To identify potential influences of racial bias on CCT utilization.
  • To analyze referral patterns in relation to patient and physician demographics.

Main Methods:

  • Retrospective analysis of CCT referrals from February 2006 to November 2021.
  • Inclusion of patient race, referring physician race, and catchment area population demographics.
  • Indexing CCT referral frequency to the respective racial populations within the catchment area.

Main Results:

  • White patients (82.5%) were disproportionately referred for CCT compared to their representation in the catchment population.
  • Non-White racial groups exhibited lower CCT referral rates relative to their population size (Referral Index: Whites 1.2 vs. Non-Whites 0.6, p < 0.001).
  • Observed racial referral disparities persisted across all minority groups and age categories, independent of physician race or years in practice.

Conclusions:

  • Significant racial differences in Cardiac CT referral rates were identified.
  • These disparities are not explained by disease prevalence, physician race, or physician experience.
  • Further research is needed to understand the root causes of these disparities and develop strategies for bias mitigation.
Abstract

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