Adjusting for race in metrics of organ procurement organization performance

The Scientific Registry of Transplant Recipients has previously reported the effects of adjusting for demographic variables, including race, in the Centers for Medicare & Medicaid Services (CMS) organ procurement organization (OPO) performance metrics: donation rate and transplant rate. CMS chos...

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Bibliographic Details
Published inAmerican journal of transplantation Vol. 24; no. 8; pp. 1440 - 1444
Main Authors Miller, Jonathan M., Zaun, David, Wood, Nicholas L., Lyden, Grace R., McKinney, Warren T., Hirose, Ryutaro, Snyder, Jon J.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.08.2024
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Summary:The Scientific Registry of Transplant Recipients has previously reported the effects of adjusting for demographic variables, including race, in the Centers for Medicare & Medicaid Services (CMS) organ procurement organization (OPO) performance metrics: donation rate and transplant rate. CMS chose not to adjust for most demographic variables other than age (for the transplant rate), arguing that there is no biological reason that these variables would affect the organ donation/utilization decision. However, organ donation is a process based on altruism and trust, not a simple biological phenomenon. Focusing only on biological impacts on health ignores other pathways through which demographic factors can influence OPO outcomes. In this study, we update analyses of demographic adjustment on the OPO metrics for 2020 with a specific focus on adjusting for race. We find that adjusting for race would lead to 8 OPOs changing their CMS tier rankings, including 2 OPOs that actually overperform the national rate among non-White donors improving from a tier 3 ranking (facing decertification without possibility of recompeting) to a tier 2 ranking (allowing the possibility of recompeting). Incorporation of stratified and risk-adjusted metrics in public reporting of OPO performance could help OPOs identify areas for improvement within specific demographic categories.
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ISSN:1600-6135
1600-6143
1600-6143
DOI:10.1016/j.ajt.2024.01.032