The Study Of Macroscopic Medical Efficiency In Guangdong Province Based On DEA Model

Objective Through the data collection of the 2010-2016 Guangdong Health Statistics Yearbook,the literature research method and the Delphi method were used to determine the macro-medical efficiency input and output indicators of Guangdong Province.The DEA model was used to analyze the Guangdong Province 2010-2016 in time and space.The macro medical efficiency of medical and health input and output in the year,discovered the problems in the medical efficiency of the medical industry in Guangdong Province and cities,and put forward relevant recommendations to provide reference for health administrative departments to improve the macro-efficiency decisions of the Guangdong medical industry.Methods Using the literature analysis method to initially screen out alternat ive indicators for evaluating Guangdong’s macro-medical efficiency,using the Delphi method to determine the input-output indicators for evaluating Guangdong’s macro-medical efficiency,and using DEA’s BCC model to horizo ntally analyze macro-medical efficiency of Guangdong province’s 21 citi es in 2016,using Malmquist index model to analyze macro-dynamic medical efficiency in Guangdong province from 2010 to 2016,analyzing efficiency results,and making relevant recommendations.Results Firstly,evaluate the selection of macro-medical efficiency input and output indicators in Guangdong: Input indicators cover three dimensions: human,material,and financial.The output indicators cover two dimensions of medical quality and service volume,and are defined as four input indicators: The number of technicians per thousand population,the number of doctors per thousand population,the number of beds per 1,000 population,and the hospitalization cost per capita;3 output indicators: average length of stay,consultations,and discharges.Secondly,the horizontal analysis of Guangdong’s macro medical efficiency in 2016 shows that the average efficiency of medical institutions in Guangdong Province in 2016 was 0.927,the average pure technical efficiency was 0.951,and the average scale efficiency was 0.974.Of the 21 cities,11 cities(accounted for 52.4%).)Effective for DEA;7 cities(33.3%)DEA is not valid;3 cities(14.3%)DEA is weakly effective.Thirdly,the longitudinal analysis of Guangdong’s macroeconomic medical efficiency from 2010 to 2016 shows that:(1)In 2010-2016,total factor productivity fell by an average of 4.0% per annum.In general,it fell in fluctuations with a large change;Both decreased by 4.0%,and also fell in fluctuations.The rate of change was large.The annual average of technical efficiency and pure technical efficiency remained the same,showing a wave-like change,but the magnitude of the change was not significant;the scale efficiency remained unchanged,showing a rise and then decline.The change is smaller.(2)Analyzing the dynamic efficiency of Guangdong Province from a regional perspective: The total factor productivity of the Pearl River Delta dropped by 3.4%,mainly due to a 3.4% reduction in the contribution rate of technological progress.The East Wing’s total factor productivity fell by 5%,resulting from a 4.9% decline in the contribution rate of technological progress,while technical efficiency remained basically unchanged.The Westwing’s total factor productivity fell by 4.9% due to a 4% reduction in technical progress and a 1% decrease in technical efficiency,while the latter was due to a 0.7% drop in pure technical efficiency and a 0.3% decline in scale efficiency.Total factor productivity fell by 3.9% in mountainous regions,mainly due to a 4.6% drop in the contribution rate of technical efficiency,while technical efficiency increased by 0.8%,resulting in a 0.4% increase in pure technical efficiency and a 0.3% increase in scale efficiency.Conclusion Firstly,in 2016,the overall overall efficiency of medical institutions in Guangdong was higher due to higher scale efficiency and technical efficiency,but there were regional differences in macro-medical efficiency.Secondly,the total factor productivity of medical institutions in Guangdong Province decreased slightly overall from 2010 to 2016,mainly due to the decrease in the contribution rate of technological advancement;there are regional differences in the changes in total factor productivity and technological progress;the technical efficiency remains unchanged,and both pure technical efficiency and scale efficiency result.No change,all three need to be improved;Thirdly,optimize the allocation of medical resources by optimizing regional health planning and constructing a resource allocation evaluation index system;through innovation and promotion of clinical application of new technologies,break down technical barriers among medical institutions at different levels and between different levels to improve the advanced technologies of the medical industry as a whole.Digestion and absorption level and utilization promote the contribution rate of technological advancement;improve medical quality,improve management level,improve the efficiency of pure technology,adjust the scale of medical institutions,increase scale efficiency,and improve the macro-medical rate by multiple factors;build multi-dimensional evaluation macro medical care in Guangdong Province The index system of efficiency.