Evaluation of the stability of organ procurement organization performance metrics

  • 0Division of Transplant Surgery, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA; Colorado Center for Transplantation Care, Research and Education (CCTCARE), Division of Transplant Surgery, Department of Surgery, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.

Summary

This summary is machine-generated.

Organ procurement organization (OPO) performance metrics show significant variability. Refining the CALC (cause, age, location consistent with donation) criteria is crucial for stable, consistent OPO performance and maximizing organ donation.

Area Of Science

  • Transplantation Science
  • Public Health Policy
  • Healthcare Analytics

Background

  • The Centers for Medicare and Medicaid Services (CMS) updated Organ Procurement Organization (OPO) conditions for coverage in 2020.
  • A new metric, CALC (cause, age, location consistent with donation), was introduced to define deceased donor potential.

Purpose Of The Study

  • To evaluate the performance metrics of the CALC criteria.
  • To assess the variability and consistency of CALC performance across different data sources and adjustments.

Main Methods

  • Utilized 2018-2021 mortality data from the Centers for Disease Control (CDC) and Agency for Healthcare Research and Quality's State Inpatient Databases.
  • Analyzed yearly performance variability and compared CALC metrics between the two data sources.
  • Examined the impact of CALC-adjusted rates, excluding donors with contraindications.

Main Results

  • Significant year-to-year variability was observed in CALC performance tiers using CDC data (up to 40% of OPOs changing tiers annually).
  • Between 20% and 43% of OPOs changed CALC tiers when using State Inpatient Databases compared to CDC data.
  • 11% to 29% of OPOs shifted performance tiers when using CALC-adjusted rates.

Conclusions

  • Current CALC performance metrics exhibit considerable variability, impacting consistency and stability.
  • Differences in data sources and adjustments highlight opportunities for metric refinement.
  • Further research is needed to optimize OPO performance measures for improved organ donation and transplant rates.