{"title":"Applying Malmquist index to evaluate the output efficiency of scientific research in a hospital department","authors":"Wanling Wu, Chang Xiao, Ruihua Sun, Ruimin Guo, Kangda Yu, Xiaodi Hao, Qing Shen, Miyuan Wang","doi":"10.3760/CMA.J.ISSN.1006-1924.2019.01.016","DOIUrl":null,"url":null,"abstract":"Objective \nTo study the dynamic changes of scientific research efficiency of 51 departments in a top three hospitals in Beijing from 2014 to 2016, and to provide reference information for improving the efficiency of scientific research in hospital departments. \n \n \nMethods \nThe CCC model of DEA, BCC model were used for lateral analysis, and then Malmquist index was used for longitudinal analysis. \n \n \nResults \nThere were 12 (23.53%) departments in 2014, 11 (21.57%) departments in 2015, 9 (17.65%) departments in 2016 data envelopment analysis was valid, from 2014 to 2016, 41 (80.39%) departments of the hospital increased the total factor productivity. \n \n \nConclusions \nThe total factor productivity of the 51 departments in the hospital increased from 2014 to 2016, and technological progress was the main reason for its growth. \n \n \nKey words: \nResearch output efficiency; Malmquist index; Clinical departments; DEA","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":"32 1","pages":"69-72"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华医学科研管理杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1006-1924.2019.01.016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To study the dynamic changes of scientific research efficiency of 51 departments in a top three hospitals in Beijing from 2014 to 2016, and to provide reference information for improving the efficiency of scientific research in hospital departments.
Methods
The CCC model of DEA, BCC model were used for lateral analysis, and then Malmquist index was used for longitudinal analysis.
Results
There were 12 (23.53%) departments in 2014, 11 (21.57%) departments in 2015, 9 (17.65%) departments in 2016 data envelopment analysis was valid, from 2014 to 2016, 41 (80.39%) departments of the hospital increased the total factor productivity.
Conclusions
The total factor productivity of the 51 departments in the hospital increased from 2014 to 2016, and technological progress was the main reason for its growth.
Key words:
Research output efficiency; Malmquist index; Clinical departments; DEA