RESUMO
Recent changes in Center for Medicare & Medicaid Services (CMS) condition for participation, using benchmark volume/outcomes requirements for certification, have been implemented. Consequently, the ability of a transplant center to assess its risk tolerance is important in successful management. An analysis of SRTR data was performed to determine donor/recipient risk factors for graft loss or patient death in the first year. Each transplant performed was then assigned a prospective relative risk (RR) of failure. Using a Monte-Carlo simulation, transplants were selected at random that met the centers' acceptable risk tolerance. Transplant center volume was fixed and its risk tolerance was adjusted to determine the impact on outcomes. The model was run 1000 times on centers with varying volume. The modeling demonstrates that centers with smaller annual volumes must use a more risk taking strategy than larger volume centers to avoid being flagged for CMS volume requirements. The modeling also demonstrates optimal risk taking strategies for centers based upon volume to minimize the probability of being flagged for not meeting volume or outcomes benchmarks. Small volume centers must perform higher risk transplants to meet current CMS requirements and are at risk for adverse action secondary to chance alone.