Multi-criteria decision analysis in clinical comprehensive evaluation of Chinese patent medicine

Multi-criteria decision analysis(MCDA), a comprehensive analysis method that can help decision-makers consider multiple criteria systematically, has been used for clinical comprehensive evaluation of drugs, such as chemicals and Chinese patent medicines. The present study summarized the theoretical basis of MCDA and its application in the clinical comprehensive evaluation of drugs and put forward suggestions. MCDA includes problem identification, structuring problem, model building, and using the model to inform and challenge thinking to develop an action plan. The modeling methods include value measurement models, outranking models, and reference-level models. The value measurement model is the most commonly used method in healthcare. The implementation steps of MCDA consist of defining the decision problem, selecting and structuring criteria, measuring performance, scoring alternatives, weighting criteria, calculating aggregate scores, dealing with uncertainty, and reporting and examination of findings. It is urgent to carry out the clinical comprehensive evaluation of Chinese patent medicine, the important part of traditional Chinese medicine(TCM), to promote its scientization, homogenization, and standardization. It is of great significance to carry out the clinical comprehensive evaluation of Chinese patent medicine with MCDA, which should be demand-oriented, coordinated by many parties, and learn from international experience and successful practice to establish the corresponding technical guidelines, specifications, and evaluation tools, so as to provide technical support for Chinese patent medicine supply and policy formulation.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:47

Enthalten in:

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica - 47(2022), 12 vom: 18. Juni, Seite 3155-3160

Sprache:

Chinesisch

Beteiligte Personen:

Dai, Ze-Qi [VerfasserIn]
Xu, Si-Min [VerfasserIn]
Wu, Xue [VerfasserIn]
Li, Miao-Miao [VerfasserIn]
Hu, Jing [VerfasserIn]
Liao, Xing [VerfasserIn]

Links:

Volltext

Themen:

Chinese patent medicine
Clinical comprehensive evaluation
Evidence-based decision-making
Health technology assessment(HTA)
Journal Article
Multi-criteria decision analysis(MCDA)
Nonprescription Drugs

Anmerkungen:

Date Completed 20.07.2022

Date Revised 20.07.2022

published: Print

Citation Status MEDLINE

doi:

10.19540/j.cnki.cjcmm.20220310.502

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM343712873