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A new organ transplantation location–allocation policy: a case study of Italy

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  • Maria Bruni
  • Domenico Conforti
  • Nicola Sicilia
  • Sandro Trotta

Abstract

In this paper, we propose a location model for the optimal organization of transplant system. Instead of simulation approach, which is typical when facing many health care applications, our approach is distinctively based on a mathematical programming formulation of the relevant problem. In particular, we focus on the critical role of time in transplantation process as well as on a spatial distribution of transplant centers. The allocation of transplantable organs across regions with the objective of attaining regional equity in health care, is the aim of this paper. Our model differs from previous modeling approaches in that it considers the nationwide reorganization of the transplant system, identifying system barriers that may impair equity and efficiency. The demolition of these barriers may leads on a reduction of waiting lists and of wasted organs. We provide the basic structure and the properties of the model, and validate it on a real case study. The experimental validation of the model demonstrates the effectiveness and robustness of our proposal. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Maria Bruni & Domenico Conforti & Nicola Sicilia & Sandro Trotta, 2006. "A new organ transplantation location–allocation policy: a case study of Italy," Health Care Management Science, Springer, vol. 9(2), pages 125-142, May.
    • Handle: RePEc:kap:hcarem:v:9:y:2006:i:2:p:125-142
    DOI: 10.1007/s10729-006-7661-z
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    1. Steven M. Shechter & Cindy L. Bryce & Oguzhan Alagoz & Jennifer E. Kreke & James E. Stahl & Andrew J. Schaefer & Derek C. Angus & Mark S. Roberts, 2005. "A Clinically Based Discrete-Event Simulation of End-Stage Liver Disease and the Organ Allocation Process," Medical Decision Making, , vol. 25(2), pages 199-209, March.
    2. Stefanos A. Zenios & Glenn M. Chertow & Lawrence M. Wein, 2000. "Dynamic Allocation of Kidneys to Candidates on the Transplant Waiting List," Operations Research, INFORMS, vol. 48(4), pages 549-569, August.
    3. Xuanming Su & Stefanos A. Zenios, 2005. "Patient Choice in Kidney Allocation: A Sequential Stochastic Assignment Model," Operations Research, INFORMS, vol. 53(3), pages 443-455, June.
    4. John Hornberger & Jae-Hyeon Ahn, 1997. "Deciding Eligibility for Transplantation When a Donor Kidney Becomes Available," Medical Decision Making, , vol. 17(2), pages 160-170, April.
    5. Charles Revelle & David Marks & Jon C. Liebman, 1970. "An Analysis of Private and Public Sector Location Models," Management Science, INFORMS, vol. 16(11), pages 692-707, July.
    6. Marsh, Michael T. & Schilling, David A., 1994. "Equity measurement in facility location analysis: A review and framework," European Journal of Operational Research, Elsevier, vol. 74(1), pages 1-17, April.
    7. Moshe Eben-Chaime & Joseph S. Pliskin, 1992. "Incorporating Patient Travel Times in Decisions about Size and Location of Dialysis Facilities," Medical Decision Making, , vol. 12(1), pages 44-51, February.
    8. Donald A. Brand, 1998. "Perfect Timing, No Remorse, and Kidney Transplantation," Medical Decision Making, , vol. 18(3), pages 249-255, August.
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    Cited by:

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    2. Alireza Goli & Ali Ala & Seyedali Mirjalili, 2023. "A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty," Annals of Operations Research, Springer, vol. 328(1), pages 493-530, September.
    3. Theophilus Dhyankumar Chellappa & Ramasubramaniam Muthurathinasapathy & V. G. Venkatesh & Yangyan Shi & Samsul Islam, 2023. "Location of organ procurement and distribution organisation decisions and their impact on kidney allocations: a developing country perspective," Annals of Operations Research, Springer, vol. 321(1), pages 755-781, February.
    4. Sinem Savaşer & Ömer Burak Kınay & Bahar Yetis Kara & Pelin Cay, 2019. "Organ transplantation logistics: a case for Turkey," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 327-356, June.
    5. Zahiri, B. & Tavakkoli-Moghaddam, R. & Mohammadi, M. & Jula, P., 2014. "Multi-objective design of an organ transplant network under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 101-124.
    6. Caruso, Valeria & Daniele, Patrizia, 2018. "A network model for minimizing the total organ transplant costs," European Journal of Operational Research, Elsevier, vol. 266(2), pages 652-662.
    7. Corrado Lanera & Honoria Ocagli & Marco Schiavon & Andrea Dell’Amore & Daniele Bottigliengo & Patrizia Bartolotta & Aslihan Senturk Acar & Giulia Lorenzoni & Paola Berchialla & Ileana Baldi & Federico, 2021. "The Surplus Transplant Lung Allocation System in Italy: An Evaluation of the Allocation Process via Stochastic Modeling," IJERPH, MDPI, vol. 18(13), pages 1-13, July.
    8. Zarrinpoor, Naeme & Fallahnezhad, Mohammad Saber & Pishvaee, Mir Saman, 2018. "The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1013-1032.
    9. Maryam Radman & Kourosh Eshghi, 2018. "Designing a multi-service healthcare network based on the impact of patients’ flow among medical services," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(3), pages 637-678, July.
    10. Benneyan, James C. & Musdal, Hande & Ceyhan, Mehmet Erkan & Shiner, Brian & Watts, Bradley V., 2012. "Specialty care single and multi-period location–allocation models within the Veterans Health Administration," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 136-148.
    11. Kargar, Bahareh & Pishvaee, Mir Saman & Jahani, Hamed & Sheu, Jiuh-Biing, 2020. "Organ transportation and allocation problem under medical uncertainty: A real case study of liver transplantation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    12. María Florencia Arnaudo & Fernando Pablo Lago & José Alberto Bandoni, 2020. "Toma de decisiones en el sistema de salud: aportes interdisciplinarios desde la Economía de la Salud y la Ingeniería de Sistemas de Procesos," Ensayos de Economía 18310, Universidad Nacional de Colombia Sede Medellín.

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