Physician Implicit Racial Bias and Guideline-Concordant Vascular Care - Summary - MDSpire
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Unconscious Racial Bias Among Physicians and Its Impact on Adherence to Vascular Care Guidelines

  • By

  • Erika T. Beidelman

  • Brian Witrick

  • Kerry A. Howard

  • Ashley Clark

  • Katharine L. McGinigle

  • Samantha D. Minc

  • Olamide Alabi

  • Caitlin W. Hicks

  • Andrew A. Gonzalez

  • Crystal W. Cené

  • Samuel Cykert

  • Corey A. Kalbaugh

  • August 24, 2026

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Objective:

To clarify the relationship between physician implicit racial bias and adherence to vascular care guidelines in the management of peripheral artery disease (PAD).

Approach:
  • Study Design: A cross-sectional investigation utilizing data from the Society for Vascular Surgery Vascular Quality Initiative (VQI) to analyze physician implicit bias and adherence to clinical guidelines.
  • Implicit Bias Measurement: Physician implicit bias was assessed using the Implicit Association Test (IAT), categorizing bias towards White or Black individuals.
  • Data Collection: Data on patient treatment and physician characteristics were obtained from VQI registries covering procedures from 2011 to 2022.
  • Outcome Measures: Three Class I, Level A guideline practices were evaluated: preoperative prescription of antiplatelets, statins, and antihypertensives.
Key Findings:
  • Physicians with implicit bias favoring White individuals were more likely to perform low-value infrapopliteal revascularization in Black patients.
  • The analysis included a total sample of 21,632 procedures and a subset of 6,588 procedures involving patients with intermittent claudication.
Interpretation:

The study seeks to establish whether structured clinical guidelines can reduce the impact of implicit racial bias on treatment decisions in PAD management.

Limitations:
  • The study focused only on Black and White patients, limiting the generalizability of findings to other racial groups.
  • The reliance on retrospective data may introduce biases not accounted for in the analysis.
Conclusion:

The findings will contribute to understanding how implicit bias affects clinical decision-making and the potential role of guidelines in addressing these disparities.

Sources:

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