Comparative study on grouping rules in centralized volume-based procurement of Chinese Patent Medicine
10.3969/j.issn.1674-2982.2023.11.010
- VernacularTitle:中成药集中带量采购分组规则对比研究
- Author:
Meng HAN
1
;
Shi-Jia WANG
;
Hao-Yu HU
;
Yan-Jiao ZHAO
;
Yong-Fa CHEN
Author Information
1. 中国药科大学国际医药商学院 江苏南京 211198
- Keywords:
Chinese Patent Medicines;
Centralized volume-based procurement;
Grouping rules
- From:
Chinese Journal of Health Policy
2023;16(11):68-74
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Comprehensively review national and provincial policies related to centralized procurement of Chinese Patent Medicines(CPM)and to compare the grouping rules and methods of centralized procurement in different regions,with the goal of providing guidance for enhancing the grouping rules for CPM.Methods:Through literature analysis and comparative analysis,the 22 policies included in the study were analyzed in depth,and the progress of centralized volume-based procurement of CPM in national and inter-provincial alliances was compared and summarized.Results:National and inter-provincial alliances'centralized volume-based procurement of CPM divides procurement groups according to functional indications,route of administration,and market conditions.The grouping rules are not closely related to drug dosage forms and quality.Dividing bidding groups based on the market competition pattern ignores the innovative value of some CPM,and does not take into account the unique brand value of the company and its drugs.The completeness of the grouping rules needs to be improved.Conclusions:There are many dosage forms of CPM and complex quality control indicators.The existing grouping rules follow the idea of grouping chemical drugs and lack a top-level design oriented to the value of CPM.It is recommended to adopt a diversified grouping method and advance the technical evaluation link in the existing shortlisting rules.This means that factors such as drug dosage form,quality and innovation value should be considered when formulating grouping rules.At the same time,it is necessary to improve and refine the current grouping rules.
