Location of Organ Procurement and Distribution Organisation Decisions and Their Impact on Kidney Allocations: A Developing Country Perspective

T. Dhyankumar Chellappa, R. Muthurathinasapathy, V.G. Venkatesh, Y. Shi and S. Islam
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V.G. Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Y. Shi: IP - Institut Pascal - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne - INP Clermont Auvergne - Institut national polytechnique Clermont Auvergne - UCA - Université Clermont Auvergne

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Abstract: Managing organ transplant networks is a complex task. It intertwines between locating the organ procurement and distribution organization (OPDO) (long-term decision) and allocating organs to the suitable destination (short-term decision). The literature lacks deliberation on the effect of those long-term decisions on short-term ones under the influence of clinical and non-clinical factors. This paper addresses this gap using a k-sum model for locational choice, and a discrete simulation approach for the allocation procedure for a real-life case study from a developing economy perspective. The study explores the trade-off between efficiency (distance-centric models) and equity (the result of time-centric allocation models). Our analysis of the efficiency of locational models and equity of the allocation policies reveal strong inter-dependence of both these decisions, a significant finding of this research. These findings offer an integrated model for high-level decision-makers, which can be used during the locational planning stage and provide input to design standard operating procedures for transplantation schemes. \textcopyright 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: Health care facility location; Kidney allocation; Organ allocation; Organ equity; Organ transplant network; P-median (search for similar items in EconPapers)
Date: 2023
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Published in Annals of Operations Research, 2023, 321 (1-2), pp.755--781. ⟨10.1007/s10479-022-04956-1⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04433055

DOI: 10.1007/s10479-022-04956-1

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