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Physician risk aversion stems from inadequate risk adjustment for high-risk patients. Optimizing data, models, and measures is key to mitigating this bias in performance reporting.

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Area of Science:

  • Cardiology
  • Healthcare Policy
  • Medical Economics

Background:

  • Risk aversion is prevalent in cardiac surgery and interventional cardiology.
  • Physicians perceive current risk adjustment as insufficient for high-risk patients.
  • This inadequacy can negatively impact publicly reported performance scores.

Purpose of the Study:

  • To explore the consequences and root causes of physician risk aversion.
  • To evaluate the robustness of current risk adjustment methodologies.
  • To propose strategies for mitigating risk aversion in performance reporting.

Main Methods:

  • Review of observational studies and surveys in cardiac surgery and interventional cardiology.
  • Analysis of provider beliefs regarding risk adjustment adequacy.
  • Identification and evaluation of potential strategies to reduce risk aversion.

Main Results:

  • Physician belief in inadequate risk adjustment is the primary driver of risk aversion.
  • Current risk adjustment models demonstrate robustness.
  • Nine strategies are proposed to mitigate risk aversion, including data optimization, patient exclusion, and revised reporting methods.

Conclusions:

  • Optimizing data sources, risk models, and performance measures is the most effective and least gameable strategy.
  • Addressing physician concerns about risk adjustment is crucial for accurate performance evaluation.
  • Multi-faceted approaches are needed to combat risk aversion in healthcare.