移植
肾移植
医学
尸体痉挛
器官共享联合网络
透视图(图形)
生活质量(医疗保健)
重症监护医学
肾
过程(计算)
外科
内科学
计算机科学
护理部
肝移植
人工智能
操作系统
作者
Jae‐Hyeon Ahn,John Hornberger
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:1996-05-01
卷期号:42 (5): 629-641
被引量:91
标识
DOI:10.1287/mnsc.42.5.629
摘要
The United Network for Organ Sharing system of allocating cadaveric kidneys for transplantation permits only minimal involvement of patients in the selection process. The system ignores potential variations in the importance that patients may attach to outcomes associated with the transplant decision. For instance, some patients may prefer only kidneys that will give them a very favorable chance to achieve a successful transplant. We designed a decision model in which patients are surveyed about their preferences for health states that in turn affect decisions about the type of donor kidneys that would be acceptable for transplantation. Our analyses show that patients with favorable transplant characteristics (e.g., young age, good health, good immunologic match between the donor kidney and the recipient) or who expect a minimal improvement in quality of life after successful transplantation can afford to be selective when considering which kidneys to accept for transplantation. Involving patients in selecting the optimal donor-kidney should improve patients' quality and duration of life with end-stage renal disease, and thereby improve the overall efficiency of the U.S. kidney transplantation program.
科研通智能强力驱动
Strongly Powered by AbleSci AI