Reducing Cardiovascular Risk in the Medicare Million Hearts Risk Reduction Model: Insights From the National

William B Borden1, Jingyan Wang2, Philip Jones3

  • 1George Washington University, Washington, DC (W.B.B.).

Insights

The Million Hearts initiative can significantly reduce atherosclerotic cardiovascular disease (ASCVD) risk in high-risk Medicare patients. Achieving optimal risk factor reductions in cardiology practices could lead to substantial ASCVD risk reduction and incentive payments.

Area of Science:

  • Cardiology
  • Public Health
  • Health Economics

Background:

  • The Million Hearts Cardiovascular Disease Risk Reduction Model incentivizes practices to reduce 10-year atherosclerotic cardiovascular disease (ASCVD) risk in high-risk Medicare patients (ASCVD risk ≥30%).
  • This study estimates average practice-level ASCVD risk reduction by applying optimal clinical trial outcomes to a real-world, high-risk population.

Purpose of the Study:

  • To estimate the potential average practice-level ASCVD risk reduction achievable within the Million Hearts Model.
  • To assess the proportion of practices that could meet incentive thresholds based on modeled risk factor modifications.

Main Methods:

  • Utilized observational registry data from the National Cardiovascular Data Registry (NCDR) Practice Innovation and Clinical Excellence (PICE) Registry (January 2013–June 2016).
  • Modeled ASCVD risk reductions using historical clinical trial data for cholesterol (26.5%), systolic blood pressure (10.9%), and smoking cessation (21.8%).
  • Calculated average ASCVD risk reduction from individual and combined risk factor modifications and determined the percentage of practices achieving Million Hearts incentive thresholds.

Main Results:

  • The study population included 135,166 patients, with 16,248 (12.0%) identified as high-risk (10-year ASCVD risk ≥30%) without existing ASCVD.
  • Mean 10-year ASCVD risk in the high-risk group was 41.9%.
  • Combined risk factor reductions (cholesterol, blood pressure, smoking) modeled a 9.7% ± 3.6 reduction in 10-year ASCVD risk. 73.0% of practices achieved ≥10% risk reduction, and 27.0% achieved 2-10% reduction.

Conclusions:

  • Approximately 1 in 8 patients in cardiology practices have high ASCVD risk (≥30%) qualifying for the Million Hearts Model.
  • Targeting key modifiable risk factors and achieving clinical trial-like reductions can substantially lower ASCVD risk.
  • The Million Hearts Model demonstrates significant potential benefits, and these findings offer guidance for participating practices to achieve incentive payments.
Abstract

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