Evaluation of Medical and Health Resources Allocation in China

摘要

Objective: To analyze the changes in the allocation of medical and health resources in 31 regions from 2015 to 2019, and to provide references for medical and health resource planning and decision-making. Methods: The data comes from the 2016~2020 China Statistical Yearbook. The Entropy weight TOPSIS method is used to evaluate 8 indicators in three dimensions of medical and health infrastructure, medical and health human resources, and medical and health services, and the systematic clustering method is used to divide each dimension level. Results: The results of the levels of medical and health resource allocation in various regions from 2015 to 2019 show that the Tibet Autonomous Region has the highest level of medical and health infrastructure allocation, Beijing has the highest level of medical and health human resources allocation, and Guangdong Province has the best allocation of medical and health service resources. Conclusions: There are differences in the levels of allocation of medical and health resources between regions, we should optimize the allocation of medical and health resources between regions, and rationally plan the structure of medical and health resources in the eastern, central and western regions.