基于数据包络法的S高校附属医院重症医学专业科研效率评估——以“十三五”期间为例  

Assessment of research efficiency of critical care medicine in hospitals affiliated S university based on data envelopment method: taking the 13th Five-Year Plan period as an example

作　　者：齐天 臧学峰[2] 边伟帅[2] 甄洁[2] 李学伟[1] Qi Tian;Zang Xuefeng;Bian Weishuai;Zhen Jie;Li Xuewei(School of Economics and Management,Beijing Jiaotong University,Beijing 100044,China;Beijing Shijitan Hospital,Capital Medical University,Beijing 100038,China)

机构地区：[1]北京交通大学经管学院,北京100044 [2]首都医科大学附属北京世纪坛医院,北京100038

出　　处：《中华危重病急救医学》2022年第3期294-300,共7页Chinese Critical Care Medicine

摘　　要：目的:探究S高校附属医院重症医学专业在"十三五"期间科研效率的静态和动态趋势。方法:根据2016至2020年北京市S高校16家附属医院重症医学专业的科研数据来源,选取科研投入经费、参与科研医师人数作为投入评估指标,以科学引文索引(SCI)论文、中国科学引文数据库(CSCD)论文、硕博士培养人数作为产出评估指标,构建重症医学专业科研效率评价指标体系,运用SPSS 23.0软件进行描述性资料统计,分别运用DEAP 2.1软件的数据包络分析法(DEA)-BCC模型和DEA-Malmquist指数模型对其2016至2020年的科研效率进行静态和动态评价。结果:①在2016至2020年S高校16家附属医院的重症医学专业的科研技术效率(TE)差异很大,但纯技术效率(PTE)、规模效率(SE)均在较好的水平,且连续5年有6~11家附属医院重症医学专业保持DEA有效。②动态分析显示其2016至2020年科研全要素生产率指数(TFP)呈先上升后下降再提升的趋势,均值为0.985;技术效率变化指数(TEC)呈下降又上升趋势;技术进步变化指数(TC)呈缓慢上升又下降趋势,均值为0.953。而TEC、纯技术效率变化指数(PTEC)和规模效率变化指数(SEC)的均值均在1以上,可见科研创新TFP的增长更多地取决于技术效率指数。结论:S高校附属医院重症医学专业科研效率的"收益效应"和"追赶效应"明显,但未显现"增长效应",虽然实现了"十三五"期间的科研效率的明显提升,但科技创新和国际学术影响力方面仍有较大的提升空间。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.Results①The 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.②Dynamic 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 eff

关 键 词：数据包络分析 高校 附属医院 重症医学 科研效率 

分 类 号：R197.323[医药卫生—卫生事业管理]