Summary of talk:
This study seeks to measure the relative technical efficiency of Community Health Service Centers (CHSCs) in Wuhan City, China, in order to propose some policy recommendations to improve the efficiency of CHSCs. A total of 46 CHSCs in Wuhan City were included in the study as research subjects. Data of eleven selected input and output indicators were collected from Hubei Provincial Health and Family Planning Commission. R3.2.1 statistical software was used to estimate the efficiency scores of CHSCs using Bootstrap-Data Envelopment Analysis (DEA), and, on average, the bias corrected technical efficiency score is found to be 0.7845. All the bias corrected scores of CHSCs are lower than traditional scores. At both local and regional level, large gaps exist in relative technical efficiency scores among the CHSCs, and 12 out of 46 CHSCs (26.09%) have efficiency scores at or below average levels. The result suggests that there is big potential to improve the operational efficiency of CHSCs in Wuhan, such as the optimization of health resources allocation, capacity building, information system strengthening, third party performance evaluation, and mechanisms design, etc.
Key words Community Health Service Centers; Technical Efficiency; Bootstrap-DEA; Bias Correction; Performance Evaluation
Dr. Hao Li received his PhD degree in Management from Scuola Superiore Sant’Anna of Pisa, Italy in 2012. He joined Wuhan University since June 2013 and is now an associate professor in the Department of Global Health, Wuhan University. He is an affiliate associate professor in the department of Global Health, University of Washington. He facilitated the establishment of Belt and Road Health Research Institute between Wuhan University and Kathmandu University in October, 2017 and has been serving as the executive director ever since. He is also a co-founder of the journal of Global Health Research and Policy and has been serving as the deputy editor-in-chief since September 2018. His main research topics focus on healthcare performance evaluation at both local and global contexts. One of his academic contributions is to introduce and apply Bootstrap-Data Envelopment Analysis to measure the relative efficiency and productivity of healthcare institutions such as hospitals, township hospitals, community health centers, etc. in China.