MedPAC Mulls Method of Reducing High-Cost Outlier Impact on Risk Scores

After its last two reports suggested comprehensive reforms to Medicare Advantage plan reimbursement, the Medicare Payment Advisory Commission (MedPAC) in its June report to Congress shifted its MA focus to one area in particular: the potential for high-cost patient outlier data to skew the calculation of risk scores that determine MA plans’ risk-adjusted pay.

Although the Hierarchical Condition Category (HCC) risk adjustment model is intended to produce scores that reflect the relative health status of a plan’s enrollees, fee-for-service (FFS) Medicare spending data that is used to calculate risk scores can include a small group of outliers whose annual costs are much higher than the average costs of patients with a given condition, explained MedPAC Executive Director Jim Mathews during a June 15 web briefing with members of the press.

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