Research on the Evaluation of Medical Resource Allocation Efficiency in Public Hospitals from the Perspective of Resilience

DOI: https://doi.org/10.62517/jmhs.202405111

Author(s)

Caihui Xu, Yimeng Ge*, Liyang Jing

Affiliation(s)

School of Management, Hunan University of Technology and Business, Changsha, Hunan, China *Corresponding author

Abstract

In the medical system of Hunan Province, tertiary public hospitals are the core force, and their resource allocation efficiency is crucial to the quality of medical services. This study constructs an indicator system from the perspective of resilience and uses the super efficiency DEA model to conduct in-depth analysis of 80 tertiary public hospitals in Hunan Province in 2021. After calculation, it was found that the average comprehensive efficiency of 80 hospitals was 1.248, and only 20 hospitals achieved DEA effectiveness. The technical efficiency value is also low, with 42.5% of hospitals in a technically effective state. Insufficient scale efficiency has become an efficiency bottleneck. Besides, there is a huge difference in efficiency values between individual hospitals and cities. Therefore, hospitals need to adapt to local conditions, optimize their scale, actively promote the construction of medical consortia, promote efficient utilization of resources, and continuously improve the efficiency of their own medical resource allocation and the quality of medical services. This study not only reveals the current efficiency situation, but also provides strategic guidance for improving the quality of medical services in Hunan Province, which is of great significance for the healthy development of the medical system.

Keywords

Ultra-efficiency DEA Model; Medical Consortium; Resilience; Efficiency of Medical Resource Allocation

References

[1] Moreno. Productivity growth, technical progress and efficiency change in Spanish retail trade(1995-2004):a disaggregated sect oral analysis. International Review of Retail, Distribution & Consumer Research,2008, 18(1):87-103. [2] Liu Yajuan, Huang Lingping. Exploration of the reform of "group" clinical specialty operation assistant in XH Hospital. Hospital of China, 2021, 25 (7): 65-67. [3] Meyer AD. Adapting to environmental jolts. Administrative Science Quarterly, 1982, 27(4):515-537. [4] Hamel G, Valikangas L.The quest for Resilience. Harvard Business Review, 2003,81(9):52-63. [5] Russell CM, Lance RN.Resilience as an entrepreneurial capability: integrating insights from a cross-disciplinary comparison. International Journal of Entrepreneurial Behavior & Research, 2018,24(7):1155-1180. [6] Zhong S, Clark M, Hou XY, et al. Development of hospital disaster resilie nce: conceptual framework and potential measurement. Emergency Medicine Journal: EMJ, 2014, 31(11): 930938. [7] BOERIU C.Hospital resilience: a recent concept in disaster preparedness .Journal of Critical Care Medicine, 2018,4(3):81-82. [8] ABURN G, GOTT M, HOARE K. What is resilience? An integrative review of the empirical literature. Journal of Advanced Nursing,2016,72(5):980-1000. [9] ZHONG S, CLARK M, HOU X, et al. Validation of a framework for measuring hospital disaster resilience using factor analysis. International Journal of Environmental Research and Public Health,2014,11(6):6335-6353. [10] Bai Enthalbin, He Yuanyuan, Xu Xinglong, etc. Construction and path realization of epidemic prevention and control mechanism for major infectious diseases based on resilient medical consortium. Hospital Management in China, 2023,43 (09): 60-64. [11] Moreno. Productivity growth, technical progress and efficiency change in Spanish retail trade(1995-2004):a disaggregated sect oral analysis. International Review of Retail, Distribution & Consumer Research,2008, 18(1):87-103. [12] Liu Yajuan, Huang Lingping. Exploration of the reform practice of "group-type" clinical specialty operation assistant in XH Hospital. Hospital of China, 2021, 25 (7): 65-67. [13] Huang Shuting, Pang Zhenmiao, Zou Xiaoqi, Liang Huiyi, Zhu Haishan. Analysis of medical resource allocation efficiency of Guangdong TCM Hospital based on data envelope analysis. Health Statistics of China, 2017,34 (01): 118-120 [14] Li Yingfei, Li Yue, Guo Lifang, Ma Lan, Lu Ping, Yan Yunwei, Wang Xiaojuan, Tian Qingfeng. Analysis and evaluation of the efficiency of medical service resource allocation in Henan TCM Hospital based on DEA and Malmquist index. Health Statistics of China, 2019,36 (05): 710-712.