IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i13p7132-d587967.html
   My bibliography  Save this article

The Surplus Transplant Lung Allocation System in Italy: An Evaluation of the Allocation Process via Stochastic Modeling

Author

Listed:
  • Corrado Lanera

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

  • Honoria Ocagli

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

  • Marco Schiavon

    (Thoracic Surgery Division, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Via Giustiniani 2, 35128 Padova, Italy)

  • Andrea Dell’Amore

    (Thoracic Surgery Division, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Via Giustiniani 2, 35128 Padova, Italy)

  • Daniele Bottigliengo

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

  • Patrizia Bartolotta

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

  • Aslihan Senturk Acar

    (Department of Actuarial Sciences Beytepe, Ankara 06800, Turkey)

  • Giulia Lorenzoni

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

  • Paola Berchialla

    (Department of Clinical and Biological Sciences, University of Torino, Regione Gonzole 10, 10043 Orbassano, Italy)

  • Ileana Baldi

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

  • Federico Rea

    (Thoracic Surgery Division, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Via Giustiniani 2, 35128 Padova, Italy)

  • Dario Gregori

    (Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Via Loredan 18, 35121 Padova, Italy)

Abstract

Background: Lung transplantation is a specialized procedure used to treat chronic end-stage respiratory diseases. Due to the scarcity of lung donors, constructing fair and equitable lung transplant allocation methods is an issue that has been addressed with different strategies worldwide. This work aims to describe how Italy’s “national protocol for the management of surplus organs in all transplant programs” functions through an online app to allocate lung transplants. We have developed two probability models to describe the allocation process among the various transplant centers. An online app was then created. The first model considers conditional probabilities based on a protocol flowchart to compute the probability for each area and transplant center to receive each n-th organ in the period considered. The second probability model is based on the generalization of the binomial distribution to correlated binary variables, which is based on Bahadur’s representation, to compute the cumulative probability for each transplant center to receive at least nth organs. Our results show that the impact of the allocation of a surplus organ depends mostly on the region where the organ was donated. The discrepancies shown by our model may be explained by a discrepancy between the northern and southern regions in relation to the number of organs donated.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:7132-:d:587967
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/13/7132/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/13/7132/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Alumura, Sibel A. & Karab, Bahar Y. & Melo, M. Teresa, 2013. "Location and logistics," Technical Reports on Logistics of the Saarland Business School 5, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    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. 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.
    11. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:7132-:d:587967. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.