Research on the Evolution and Development of Chinese Drug Regulatory Policy Network
10.13748/j.cnki.issn1007-7693.20221665
- VernacularTitle:中国药品监管政策网络演化和发展研究
- Author:
LAN Yafei
1
,
2
;
CHEN Ying
1
,
2
;
HAN Meng
1
,
2
;
CHU Shuzhen
1
,
2
Author Information
1. Research Center of National Drug Policy &
2. Ecosystem, China Pharmaceutical University, Nanjing 211100, China
- Publication Type:Journal Article
- Keywords:
drug regulatory policy;
evolution;
social network analysis;
word cloud
- From:
Chinese Journal of Modern Applied Pharmacy
2023;40(17):2346-2353
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To analyze the evolution of the focus of Chinese pharmaceutical administration, so as to improving the effectiveness of drug regulation. METHODS Through word frequency and social network analysis, the word cloud and network graph were visualized for the evolution process of Chinese drug regulatory policies, and the different evolutionary characteristic of policies content were analyzed using graph density, clustering coefficient, betweenness centrality, degree centrality and other indicators. RESULTS There were differences in network characteristics in different periods, the overall network connection tended to be tight, the structure tended to be optimized, and the connection between individual network subgroups was gradually complicated. However, the number of subgroups decreased in 2018—2022, and the core nodes were transferred. CONCLUSION In the current special period of “epidemic economy”, it is necessary to broaden the special policy areas and strengthen the coordination and intersection of policy concerns.
