Analysis on the Level Measurement and Spatio-Temporal Characteristics of the New Quality Productivity of China's Medical and Health Service System

Zhang Zhishuo; Shi Tao; Liu Zengfa; Li Qian; Cao Yangdong; Nie Lei

Abstract：Objective:It aims to measure and analyze the spatial and temporal characteristics of the new quality productivity in China's healthcare service system,in order to reveal the current situation and existing problems of China's medical and health service system,and provide decision-making reference for further optimizing healthcare resource allocation,improving service efficiency and quality,and promoting the deep implementation of the"Healthy China"strategy.Methods:The new quality of productivity in China's healthcare service system from 2010 to 2019 was measured using the entropy weighted TOPSIS method,and the degree of association between each indicator and the new quality of productivity was explored using grey correlation analysis.The dynamic evolution of the new quality productivity in China's healthcare service system was explored using kernel density estimation,and the regional disparities were studied using the Dagum Gini coefficient.Results:The new quality productivity in China's healthcare service system showed an overall upward trend during the sample observation period.The efficiency of medical services,resource utilization level,human resource allocation,and financial input had a significant impact on the improvement of the new quality productivity in the healthcare service system.However,regional disparities constrain the overall development of China's healthcare service system.Conclusion:To further enhance the new quality productivity in China's healthcare service system and promote the equity,efficiency,and sustainable development of healthcare services,efforts should be made to strengthen talent training and recruitment,strengthen investment and upgrading of medical equipment;promote innovation in the medical and health service system;and enhance policy support and regulatory oversight.