Evidence-based research on the selection method system for China's essential medicine list
10.3760/cma.j.issn.1000-6672.2017.04.016
- VernacularTitle:基于循证医学的我国基本药物目录遴选方法体系研究
- Author:
Hao ZHANG
;
Shuyan GU
;
Qian YANG
;
Lin GAO
;
Xuemei ZHEN
;
Yuhang ZENG
;
Hengjin DONG
- Keywords:
Essential medicine list selection;
Burden of disease assessment;
GRADE assessment;
Pharmacoeconomics assessment;
Medical insurance budget analysis
- From:
Chinese Journal of Hospital Administration
2017;33(4):293-297
- CountryChina
- Language:Chinese
-
Abstract:
Objective To find a selection method system appropriate for China's essential drug list.Methods Collection and analysis of technical paper literature on essential drug list developement,adjustment technical papers,and literature on evidence-based medicine,pharmacoeconomics evaluation,and medical insurance budget analysis from WHO and other countries.On such basis,a method system for selecting China's essential medicine list can be proposed,with its feasibility analyzed and demonstrated.Results The GRADE assessment proposed by WHO was used to evaluate the efficacy and safety of the drug;the pharmacy economics evaluation is added to assess the economic efficiency;these were aided by the pharmacoeconomics evaluation for a comprehensive evaluation of the pharmacoeconomics of the drug in question,supplementing analysis of the medical insurance,and ensuring its affordability of essential medicine so selected.The theory of this system is well developed,and supporting software ready for application.Examples in Zhejiang Province regarding essential medicine for diabetes have proved this method feasible.Data acquisition constitutes a major roadblock for scientific selection due to barriers against medical insurance data sharing.Conclusions Theoretic basis and method tools are fully available for essential medicine selection,and the selection method system as proposed in this study prove feasible to some extent.Decision makers are recommended to scientifically select the essential drugs,and to encourage data sharing,in order to make the list more scientific and pragmatic.
