Comprehensive evaluation of TCM resource allocation in Guangzhou community using TOPSIS and RSR / 实用医学杂志
The Journal of Practical Medicine
; (24): 261-266, 2024.
Article
em Zh
| WPRIM
| ID: wpr-1020740
Biblioteca responsável:
WPRO
ABSTRACT
Objective To comprehensively evaluate the current situation of traditional Chinese medicine resource allocation in grassroots community health service centers in Guangzhou in 2022.Methods Based on the index system of traditional Chinese medicine resource allocation(community health service center)in Guangzhou,MATLAB R2021a and SPSS 27 software were used to comprehensively evaluate the current situation of traditional Chinese medicine resource allocation in 116 community health service centers in Guangzhou by TOPSIS method and RSR method.Results The allocation of TCM resources in 5 communities,including Xiaoguwei Street Community Health Service Center in Panyu District,Guangzhou City,Dadong Street Community Health Service Center in Yuexiu District,Guangzhou City,Fengyuan Street Community Health Service Center in Leiwan District,Guangzhou City,was evaluated as"excellent",and the allocation of TCM resources in 4 communities was rated as"poor".In addition,27,53 and 27 community health service centers were rated as"upper middle","medium"and"lower middle"respectively.Analysis of variance showed that the difference was statistically significant(F = 231.268,P<0.001).Conclusion TOPSIS method combined with RSR method can better evaluate the allocation of TCM resources in grass-roots communities:The allocation of TCM resources in grass-roots communities in Guangzhou is generally good,but there are still significant differences among different communities.In the future,health administrative departments at all levels in Guangzhou can rationally allocate resources according to the differences of different com-munities and better improve the capacity building of traditional Chinese medicine service in grassroots communities.
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Índice:
WPRIM
Idioma:
Zh
Revista:
The Journal of Practical Medicine
Ano de publicação:
2024
Tipo de documento:
Article