Topics in Middle Eastern and North African Economies

Document Type

Article

Publication Date

5-1-2021

Abstract

Health is a complex system since the appearance of illness and sickness has high uncertainty. In this regard, health economics is a complex system that the emergence of health care demand is uncertain. Thus, evaluation of health economics using classical mathematical methods produce insufficient and incorrect outcomes. Therefore, in this work, complex system tools and methods assessing the health economics and the health care market were investigated to illustrate the superiority of the simulation methods. In recent years, researchers tend to use simulation and modelling based applications to assess the health care market instead of classical methods such as cost-effectiveness and cost-utility. Hence, methods like discrete event simulation, system dynamic modelling, and agent-based modelling attract the attention of researchers. Such methods were used in the evaluation of different health care policies and the assessment of the simulation outputs. Moreover, simulation methods were also used in the minimization of health care expenditures and the assessment of health insurance repayment. It was concluded that researchers tend to use simulation methods to evaluate health economics rather than classical approaches.

Journal Title

Topics in Middle Eastern and North African Economies

ISSN

2334-282X

Publisher

Middle East Economic Association and Loyola University Chicago

Volume

23

Issue

1

Comments

Presentation of the articles in the Topics in Middle Eastern and North African Economies was made possible by a limited license granted to Loyola University Chicago and Middle East Economics Association from the authors who have retained all copyrights in the articles.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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