Literature DB >> 22703559

Equal Opportunity Supplemented by Fair Innings: equity and efficiency in allocating deceased donor kidneys.

L F Ross1, W Parker, R M Veatch, S E Gentry, J R Thistlethwaite.   

Abstract

For 7 years, the Kidney Transplantation Committee of the United Network for Organ Sharing/Organ Procurement Transplantation Network has attempted to revise the kidney allocation algorithm for adults (≥18 years) in end-stage renal disease awaiting deceased donor kidney transplants. Changes to the kidney allocation system must conform to the 1984 National Organ Transplant Act (NOTA) which clearly states that allocation must take into account both efficiency (graft and person survival) and equity (fair distribution). In this article, we evaluate three allocation models: the current system, age-matching and a two-step model that we call "Equal Opportunity Supplemented by Fair Innings (EOFI)". We discuss the different conceptions of efficiency and equity employed by each model and evaluate whether EOFI could actually achieve the NOTA criteria of balancing equity and efficiency given current conditions of growing scarcity and donor-candidate age mismatch. © Copyright 2012 The American Society of Transplantation and the American Society of Transplant Surgeons.

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Year:  2012        PMID: 22703559     DOI: 10.1111/j.1600-6143.2012.04141.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  11 in total

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3.  Epistemic Authority and Trust in Shared Decision Making About Organ Transplantation.

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5.  Burden of excess mortality after implementation of the new kidney allocation system may be borne disproportionately by middle-aged recipients.

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7.  Deceased donor kidney allocation: an economic evaluation of contemporary longevity matching practices.

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9.  Ethics Consultation for Adult Solid Organ Transplantation Candidates and Recipients: A Single Centre Experience.

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10.  Who should be prioritized for renal transplantation?: Analysis of key stakeholder preferences using discrete choice experiments.

Authors:  Michael D Clark; Dennis Leech; Anil Gumber; Domenico Moro; Ala Szczepura; Nick West; Robert Higgins
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