1. The organ procurement costs of expanding deceased donor organ acceptance criteria: Evidence from a cost function model
- Author
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John P. Roberts, Xingxing S. Cheng, John D. Scandling, Jennifer L. Bragg-Gresham, Jane C. Tan, Philip J. Held, Avi Dor, and Glenn M. Chertow
- Subjects
Organ procurement organization ,Marginal cost ,medicine.medical_specialty ,Tissue and Organ Procurement ,Total cost ,Cost-Benefit Analysis ,Urology ,030230 surgery ,Kidney ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Immunology and Allergy ,Medicine ,Pharmacology (medical) ,health care economics and organizations ,Kidney transplantation ,Transplantation ,Deceased donor ,business.industry ,medicine.disease ,Kidney Transplantation ,Tissue Donors ,Confidence interval ,Organ procurement ,business - Abstract
A potential solution to the deceased donor organ shortage is to expand donor acceptability criteria. The procurement cost implications of using nonstandard donors is unknown. Using 5 years of US organ procurement organization (OPO) data, we built a cost function model to make cost projections: the total cost was the dependent variable; production outputs, including the number of donors and organs procured, were the independent variables. In the model, procuring one kidney or procuring both kidneys from double/en bloc transplantation from a single-organ donor resulted in a marginal cost of $55 k (95% confidence interval [CI] $28 k, $99 k) per kidney, and procuring only the liver from a single-organ donor results in a marginal cost of $41 k (95% CI $12 k, $69 k) per liver. Procuring two kidneys for two candidates from a donor lowered the marginal cost to $36 k (95% CI $22 k, $66 k) per kidney, and procuring two kidneys and a liver lowers the marginal cost to $24 k (95% CI $17 k, $45 k) per organ. Economies of scale were observed, where high OPO volume was correlated with lower costs. Despite higher cost per organ than for standard donors, kidney transplantation from nonstandard donors remained cost-effective based on contemporary US data.
- Published
- 2021
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