Application of Bayesian Mixed Treatment Comparison Method in Pharmacoeconomics Evaluation
10.6039/j.issn.1001-0408.2016.23.04
- VernacularTitle:贝叶斯混合处理比较法在药物经济学评价中的应用
- Author:
Yu SHI
;
Huixia RAO
;
Kaiyuan WENG
- Publication Type:Journal Article
- Keywords:
Bayesian mixed treatment comparison method;
Pharmacoeconomics evaluation;
Application
- From:
China Pharmacy
2016;27(23):3177-3180
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To explore the basic principles,advantages and application prospects of Bayesian mixed treatment comparison (MTC),and provide theoretic support for making reasonable decisions of pharmacoeconomics. METHODS:The prob-lems existing in model and method that had been used in the study of pharmacoeconomics as starting point,literature research was used to sort out the domestic development and applications of MTC and study its application and development prospect. RESULTS &CONCLUSIONS:The evaluation methods of pharmacoeconomics play an important role in selection of essential medicines,medi-care insurance directory medicines,basic health and basic public health programs,the results directly affect the total effective rate of medical resources’configuration. The current research models cannot effectively solve the problem,for example,decision tree model is difficult to make evaluation of long-term treatment;Markov model and the use of multiple attribute utility theory are restricted by the model parameters;discrete event simulation is limited because it depends on the epidemiological study and clinical trial. MTC, an extension approach of the traditional Meta-analysis,is an effective new method developed recently to analyze and compare the di-rect or indirect evidence of several different clinical treatment factors in order to make a comprehensive evaluation of the various inter-ventions in the absence of evidence support. So the MTC can make up for the limitation of current evaluation methods.