Evaluation of Health Resource Allocation Efficiency of Chinese Medicine Hospital Based on Data Envelopment Analysis
- DOI
- 10.2991/ssphe-18.2019.56How to use a DOI?
- Keywords
- Data envelopment analysis, Health resource allocation, Efficiency evaluation
- Abstract
Objective. To study the allocation efficiency of health resources in Chinese medicine hospitals, and provide reference for further optimizing the allocation of Chinese medicine health resources in China. Methods The data envelopment analysis method was used to evaluate the health resource allocation efficiency of Chinese medicine hospitals in 31 provinces in 2016. Results. In the horizontal assessment, the average efficiency, pure technical efficiency and scale efficiency of health resources allocation were respectively 0.985, 0.990, and 0.994. Among them, the efficiency of health resource allocation makes it satisfactory for 25 provinces and cities (80.64%), and the efficiency of health resource allocation is slightly lower for. 6 provinces and cities (19.36%). Conclusion. The overall level of health resource allocation efficiency of Chinese medicine hospitals in 2016 is relatively high, but the differences between provinces are large. Some provinces and cities need to optimize the scale and structure of investment and improve the efficiency of Chinese medicine services.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Pan Zhang AU - Wenping Deng AU - Shusong Mao AU - Kai Chang PY - 2019/01 DA - 2019/01 TI - Evaluation of Health Resource Allocation Efficiency of Chinese Medicine Hospital Based on Data Envelopment Analysis BT - Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018) PB - Atlantis Press SP - 237 EP - 240 SN - 2352-5398 UR - https://doi.org/10.2991/ssphe-18.2019.56 DO - 10.2991/ssphe-18.2019.56 ID - Zhang2019/01 ER -