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Population Characteristics and Organ Procurement Organization Performance Metrics
Rocio Lopez1,2, Sumit Mohan3,4, Jesse D Schold1,5
1Division of Transplant Surgery, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora.
Adjusting organ procurement organization (OPO) performance metrics for age and area deprivation significantly altered tier classifications. This suggests population characteristics, not just OPO performance, influence donation and transplant rates.
Area of Science:
- Organ transplantation and procurement
- Public health policy
- Health services research
Background:
- Centers for Medicare & Medicaid Services (CMS) updated Organ Procurement Organization (OPO) Conditions for Coverage in 2020.
- Current OPO performance evaluation uses unadjusted donation and age-adjusted transplant rates, neglecting population differences.
- The Cause, Age, and Location Consistent (CALC) tiering system requires further examination for its effectiveness.
Purpose of the Study:
- To determine if adjusting for age and area deprivation index (ADI) changes OPO tier assignments compared to the CMS CALC tier.
- To assess the impact of population characteristics on OPO performance metrics.
Main Methods:
- Retrospective cross-sectional study of 58 OPOs from 2018-2020.
- Analysis of 12,041,778 death records and 42,572 solid organ donors.
- Statistical analysis performed from January 2017 to December 2020, examining age and ADI of potential donors.
Main Results:
- Age and ADI adjustments led to reclassification of tier ratings for 19.0% to 31.0% of OPOs.
- 46.6% of OPOs experienced at least one tier change over the 3-year period.
- Between 6.9% and 12.1% of OPOs moved to tier 1, and up to 8.6% moved to tier 3.
Conclusions:
- Adjusting for area deprivation and age significantly alters measured OPO performance and tier classifications.
- Underlying population characteristics may independently affect donation and transplant rates, independent of OPO performance.
- Risk adjustment for population characteristics should be considered in future OPO policy and quality metric evaluations.
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