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Objective:Established a Super-DEA model to calculate the efficiency of scientific research work of the hospital departments, statistically compared it with the evaluation results of scientific research work in discipline construction, and proposed improvement suggestions.Methods:Considering the characteristics of the input and output indicators, non-radial super-SBM model from the DEA methods was established to calculate the scientific research efficiency of 47 departments of the hospital in 2019, two independent sample t-tests were used to compare the differences in subject construction scores between effective and ineffective departments with super-efficiency values.Results:The average scientific research efficiency of 47 departments in the hospital was 0.70, with the highest efficiency being the scientific research department and the lowest being the internal medicine department; there were 18 DEA-effective departments and 29 DEA-ineffective departments; among the DEA-ineffective departments, the average human resource input was 1.13 people, the redundant scientific research funds is 854, 800 yuan on average; compared with the evaluation results of scientific research work in the discipline construction in 2019, the ranking of the same discipline is significantly different, the t-test results showed that there was no significant difference in the subject construction scores between DEA effective and ineffective departments. Using this model to calculate the data in 2021, the results show that DEAs in 21 departments are effective, with an effective rate of 42.86%.Conclusions:There is a big difference in the scientific research efficiency of the hospital departments, and the overall efficiency need to be improved; it should be improved according to the reasons for the lack of scientific research efficiency; the discipline construction evaluation system has not considered the input and other deficiencies, it is recommended to optimize the evaluation system to improve fairness and rationality. The results preliminarily show that the model can play a positive guiding role in the scientific research work of the department.
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Objective:To evaluate the Scientific Research Efficiency in A Tertiary Hospital, and provide recommendations for further improvement based on evaluation results.Methods:We evaluated the scientific research efficiency of 35 disciplines in a Tertiary Hospital from 2015 to 2017 with Slack Based Measure based Data envelopment analysis(DEA).Results:The average efficiency value from 2015 to 2017 is 0.44-0.65.The efficiency of Scientific Research from high to low was: supportive department, surgery department, internal medicine.There are 13 disciplines (37.14%) which efficiency increases gradually and 7 discipline (20%) which efficiency decreases.9 disciplines are DEA valid (efficiency=1) for at least 2 years and 9 is DEA invalid (efficiency<1) in three years.The average slack variable of researchers is 18.6 while average slack variable of input scientific research fund is 23.38 million RMB.Conclusions:The average efficiency of the tertiary hospital shows a rising trend.However, the efficiency of disciplines varies largely.For DEA invalid disciplines, it is important to improve efficiency by increasing output and improving efficiency of scientific research funding.
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Objective:To evaluate the scientific research efficiency and its change in a tertiary hospital, provide recommendations for improvement based on evaluation findings.Methods:We evaluated the scientific research efficiency of 35 disciplines in a tertiary hospital from 2015 to 2017 with BCC model of Data Envelopment Analysis and Malmquist index.Results:The number of DEA valid disciplines was 10, 16, 10 respectively. The average efficiency value from 2015 to 2017 of internal medicine, surgery department and supportive department was 0.62, 0.71, 0.74. The Total Factor Productivity of 2017, compared with 2015, was 1.30, which was mainly attributed to increase of Pure Technical Efficiency. There were 23 disciplines which efficiency increased and 12 disciplines which efficiency decreased.Conclusions:The scientific research efficiency of the tertiary hospital showed a rising trend. The efficiency of disciplines varied largely. For disciplines of DEA invalid or with downward trend, it is important to improve efficiency by improving management, cultivating talents, improving technology and increasing scientific output, and so on.
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Objective To evaluate the scientific research efficiency of tertiary hospitals and analyze the influencing factors, providing reference for the decision-making of scientific research managers in China. Methods Evaluation indicators were collected from 100 tertiary hospitals in China, and their research efficiency was evaluated using Bootstrap data envelopment analysis (DEA) method. The influencing factors were analyzed using ordinary least square ( OLS) regression model. Results The averaged scientific research efficiency of these hospitals using Bootstrap DEA method was 0. 5224, lower than that using conventional DEA method (0. 0676), yet with a great variation (from 0. 1103 to 0. 8790) among them. Linear regression analysis showed that factors such as R&D input and output, and hospital types has statistical significance on the saentific research efficiency (P < 0. 05). Conclusions These hospitals are inefficient in scientific research with sizable room for improvement. Conventional DEA method should be used with caution, as deviations should be corrected with Bootstrap DEA method. The research development level and hospital types of their province can influence the research efficiency the hospitals significantly.
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Data Envelopment Analysis (DEA) method is used to evaluate the efficiency of 41 tertiary hospitals in 2015 in Beijing.The possible causes of non-DEA effective hospitals are analyzed,and the direction and measures of non-DEA effective hospitals to promote scientific research efficiency are put forward.