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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 investigate the static and dynamic trends of scientific research efficiency of the critical care medicine in hospitals affiliated S university during the 13th Five-Year Plan period.Methods:Based on the scientific research data of 16 hospitals affiliated to Beijing S University from 2014 to 2020, the scientific research investment funds and the number of physicians involved in scientific research were selected as input evaluation indexes, and the number of science citation index (SCI) papers, Chinese science citation database (CSCD) papers, and the number of masters and doctors trained were selected as output evaluation indexes, and the evaluation index system of scientific research efficiency of critical care medicine was constructed. SPSS version 23.0 software was used for descriptive data statistics, and data envelopment analysis (DEA)-BCC model and DEA-Malmquist index model of DEAP 2.1 software were used for static and dynamic evaluation of its scientific research efficiency from 2016 to 2020, respectively.Results:① The scientific research technical efficiency (TE) of critical care medicine in 16 hospitals affiliated with S universities varied greatly from 2016 to 2020, but pure technical efficiency (PTE) and scale efficiency (SE) were at a good level, and 6-11 affiliated hospitals in critical care medicine kept DEA effective for 5 consecutive years. ② Dynamic analysis of their total factor productivity (TFP) of scientific research from 2016 to 2020 showed a trend of rising and then falling and then rising again. The mean value was 0.985. The technical efficiency change (TEC) showed a decreasing and then increasing trend, and the technical progress change (TC) showed a slow increasing and then decreasing trend, with a mean value of 0.953. While the mean values of TEC, pure technical efficiency change (PTEC) and scale efficiency change (SEC) were above 1, which showed that the growth of total factor productivity index of research and innovation depended more on the technical efficiency index.Conclusions:The "gain effect" and "catch-up effect" of scientific research efficiency in the specialty of critical care medicine in hospitals affiliated S universities are obvious, but the "growth effect" is not obvious. "Although the research efficiency of the 13th Five-Year Plan period has been significantly improved, there is still much room for improvement in scientific and technological innovation and international academic influence.
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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.
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Objective To systematically assess the application status of evaluation indicators of research efficiency in research institutions in China.Methods Literatures published before August 2016 were searched and retrieved from CNKI and Wanfang Database.Results 112 indicators used in 72 literatures were merged and analyzed.According to the usage frequency not less than 10％ and the top usage frequency in each indicator group,the main input indicators involved the number of total researchers and the total research funding.The output indicators mainly focused on the number of monographs,the number of academic papers,the number of patents granted,the number of research projects,the number of awards and the amount of money charged for technology transfer.Conelusions The indicators obtained from the previous research could provide a reference for the research efficiency evaluation of medical institutions in China.
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Objective To evaluate the research input-output efficiency of 15 medical universities,and provide references for improving synthetic research efficiency.Methods Selected research input-output key indicators,and used CCR model and SE-DEA model to statistic and analyze.Results The average value of comprehensive efficiency of 15 medical universities was 0.811,pure technical efficiency value was 0.978,scale efficiency value was 0.827.There were 5 DEA efficient universities,7 pure technical efficient universities among 10 Non-DEA efficient universities.Conclusion The total research efficiency of medical universities in our country remained to improve,and should emphasize adjusting scientific research scale.