RESUMO
BACKGROUND: Healthcare services efficiency (HSE) is directly related to the healthcare demands of the general public and also plays an essential role in the country's coordinated economic and social development. METHODS: In this study, the stochastic frontier approach (SFA)-Malmquist model was applied to measure the HSE of 31 Chinese provinces based on panel data from 2010-2020. Then, kernel density estimation, Markov chain, and exploratory spatial data analysis were adopted to study the temporal-spatial dynamic evolution characteristics of the HSE. RESULTS: The study found that China's HSE showed an average value of approximately 0.841, indicating room for improvement. The HSE varied significantly across regions, presenting an "East > Central > West" distribution layout. The TFP of healthcare services in China grew by 1.6% per year, driven mainly by technological progress of 1.8% per year. The trend of the HSE shifting to a high level in China was significant, but its evolution exhibited stability of maintaining the original state, and it was harder to achieve leapfrog transfer. The temporal-spatial evolution of the HSE was also significantly affected by geospatial factors, with a clear spatial spillover effect and spatial agglomeration characteristics. Provinces with high-level HSE exhibited positive spatial spillover effects, while provinces with low-level HSE had negative spatial spillover effects. Thus, the "club convergence" phenomenon of "high efficiency concentration, low efficiency agglomeration, high levels of radiation, and low levels of suppression" was formed in the spatial distribution. CONCLUSIONS: The results indicate that countermeasures should be taken to improve the HSE in China. Theoretical support for the improvement of HSE is provided in this paper.
RESUMO
BACKGROUND: Hierarchical medical system (HMS) is a good policy to promote the fairness of medical services for residents. Given the importance of HMS, it is necessary to know the implementation effect of the policy. Therefore, we aimed to analyze the efficiency of medical service resources in China under the background of hierarchical medical policy. METHODS: Based on the panel data of China's medical resources in 2015-2019, we used DEA model to calculate the technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) of medical resources from both lateral and longitudinal aspects. We used Malmquist index to evaluate the change trend of efficiency, and further we compared the efficiency differences of regions and medical institutions. RESULTS: In lateral evaluation results, TE was relatively stable, while total factor productivity (TFP) was on the rise. In longitudinal evaluation results, TE and TFP showed a downward trend. CONCLUSION: The government should consider the differences in development between regions and make health plans by regions. Medical institutions should strive to break down the constraints and make use of their advantages, which is conducive to improving efficiency.
RESUMO
Traditional Chinese medicine industry is China's strategic emerging industry with great potential for self-innovation. Traditional Chinese medicine industry has successively experienced four stages which are the foundation (laying stage), the core status (establishing stage), the modern system (exploring stage), and the modernization system (constructing stage). Throughout the evolution of the self-innovation in traditional Chinese medicine industry, it presents distinct characteristics which we can explore the beneficial enlightenment.
