In:
Medical Decision Making, SAGE Publications, Vol. 25, No. 2 ( 2005-03), p. 199-209
Abstract:
Background. The optimal allocation of scarce donor livers is a contentious health care issue requiring careful analysis. The objective of this article was to design a biologically based discrete-event simulation to test proposed changes in allocation policies. Methods. The authors used data from multiple sources to simulate end-stage liver disease and the complex allocation system. To validate the model, they compared simulation output with historical data. Results. Simulation outcomes were within 1% to 2% of actual results for measures such as new candidates, donated livers, and transplants by year. The model overestimated the yearly size of the waiting list by 5% in the last year of the simulation and the total number of pretransplant deaths by 10%. Conclusion. The authors created a discrete-event simulation model that represents the biology of end-stage liver disease and the health care organization of transplantation in the United States.
Type of Medium:
Online Resource
ISSN:
0272-989X
,
1552-681X
DOI:
10.1177/0272989X04268956
Language:
English
Publisher:
SAGE Publications
Publication Date:
2005
detail.hit.zdb_id:
2040405-0
detail.hit.zdb_id:
604497-9
Permalink