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Israeli Medical Experts’ Knowledge, Attitudes, and Preferences in Allocating Donor Organs for Transplantation

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  • Amir Elalouf

    (Department of Management, Bar-Ilan University, Ramat Gan 5290002, Israel)

Abstract

Medical advancement has increased the confidence in successful organ transplants in end-stage patients. As the waitlist of organ demand is multiplying, the organ allocation process is becoming more crucial. In this situation, a transparent and efficient organ allocation policy is required. This study evaluates the preferences of medical experts to substantial factors for allocating organs in different hypothetical scenarios. Twenty-five medical professionals with a significant role in organ allocation were interviewed individually. The interview questionnaire comprised demographic information, organ donation status, important organ allocation factors, public preference knowledge, and experts’ preferences in different hypothetical scenarios. Most medical experts rated the waiting time and prognosis as the most important, while the next of kin donor status and care and contribution to the well-being of others were the least important factors for organ allocation. In expert opinion, medical experts significantly considered public preferences for organ allocation in making their decisions. Altogether, experts prioritized waiting time over successful transplant, age, and donor status in the hypothetical scenarios. In parallel, less chance of finding another organ, donor status, and successful transplant were prioritized over age. Medical experts are the key stakeholders; therefore, their opinions are substantial in formulating an organ allocation policy.

Suggested Citation

  • Amir Elalouf, 2022. "Israeli Medical Experts’ Knowledge, Attitudes, and Preferences in Allocating Donor Organs for Transplantation," IJERPH, MDPI, vol. 19(11), pages 1-17, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6945-:d:832644
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    References listed on IDEAS

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    1. Dolan, Paul & Shaw, Rebecca, 2004. "A note on a discussion group study of public preferences regarding priorities in the allocation of donor kidneys," Health Policy, Elsevier, vol. 68(1), pages 31-36, April.
    2. Carina Oedingen & Tim Bartling & Axel C. Mühlbacher & Harald Schrem & Christian Krauth, 2019. "Systematic Review of Public Preferences for the Allocation of Donor Organs for Transplantation: Principles of Distributive Justice," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 12(5), pages 475-489, October.
    3. Julie Ratcliffe, 2000. "Public preferences for the allocation of donor liver grafts for transplantation," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 137-148, March.
    4. Browning, Colette J. & Thomas, Shane A., 2001. "Community values and preferences in transplantation organ allocation decisions," Social Science & Medicine, Elsevier, vol. 52(6), pages 853-861, March.
    5. Dimitris Bertsimas & Vivek F. Farias & Nikolaos Trichakis, 2013. "Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation," Operations Research, INFORMS, vol. 61(1), pages 73-87, February.
    6. Sahar Ahmadvand & Mir Saman Pishvaee, 2018. "An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach," Health Care Management Science, Springer, vol. 21(4), pages 587-603, December.
    7. Al-Ebbini, Lina & Oztekin, Asil & Chen, Yao, 2016. "FLAS: Fuzzy lung allocation system for US-based transplantations," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1051-1065.
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