Applications of Markov model for cost-effectiveness analysis of screening in epidemiology
10.3760/cma.j.cn112338-20200729-00993
- VernacularTitle:马尔可夫模型在流行病学筛查成本效果分析中的应用
- Author:
Qiuping LIU
1
;
Pei GAO
;
Xun TANG
;
Yonghua HU
Author Information
1. 北京大学公共卫生学院流行病与卫生统计学系 100191
- Keywords:
Markov model;
Screening;
Cost-effectiveness analysis
- From:
Chinese Journal of Epidemiology
2021;42(4):728-734
- CountryChina
- Language:Chinese
-
Abstract:
Cost-effectiveness analysis of screening in epidemiology is essential for public health decision-making. This paper describes the general principles, basic steps involved in implementation, analytic methods and other related issues of Markov model. Based on a practical research case of evaluating the cost-effectiveness of primary open-angle glaucoma screening in a Chinese population, key points in applications of Markov model for cost-effectiveness analysis of screening were discussed in detail, including model development, parameters definition, available software, base case analysis, sensitivity analysis and the interpretation of the results. For better supporting evidence-informed decision making in public health, future studies should be aware of the accuracy of parameters in Markov models and the transparency of the models and results, as well as complying with the relevant reporting standards.
