title: Measuring and Benchmarking Technical Efficiency of Public Hospitals in Tianjin, China: A Bootstrap-Data Envelopment Analysis Approach.
abstract: China has long been stuck in applying traditional data envelopment analysis (DEA) models to measure technical efficiency of public hospitals without bias correction of efficiency scores. In this article, we have introduced the Bootstrap-DEA approach from the international literature to analyze the technical efficiency of public hospitals in Tianjin (China) and tried to improve the application of this method for benchmarking and inter-organizational learning. It is found that the bias corrected efficiency scores of Bootstrap-DEA differ significantly from those of the traditional Banker, Charnes, and Cooper (BCC) model, which means that Chinese researchers need to update their DEA models for more scientific calculation of hospital efficiency scores. Our research has helped shorten the gap between China and the international world in relative efficiency measurement and improvement of hospitals. It is suggested that Bootstrap-DEA be widely applied into afterward research to measure relative efficiency and productivity of Chinese hospitals so as to better serve for efficiency improvement and related decision making.
authors.affiliation: School of Public Health/Global Health Institute, Wuhan University, Wuhan, People's Republic of China.
authors.forename: Hao
authors.initials: H
authors.lastname: Li
authors.affiliation: National Institute of Hospital Administration, Beijing, People's Republic of China sipingd@163.com.
authors.forename: Siping
authors.initials: S
authors.lastname: Dong
mesh_terms: D019985:Benchmarking / Q000706:statistics & numerical data; D020811:Biomedical Technology; D002681:China; D017598:Efficiency, Organizational / Q000592:standards* / Q000706:statistics & numerical data; D006779:Hospitals, Public / Q000592:standards*; D006801:Humans
keywords: Bootstrap-DEA; benchmarking; health services provision; methodology; technical efficiency