Research on the operational efficiency and influencing factors of public hospitals in the Pearl River Delta region based on DEA-Tobit model

Corresponding author: Liuchen, dora0628@126.com

DOI: 10.12201/bmr.202410.00031

•  

  Abstract: Objective To examine the operational efficiency and influencing factors of public hospitals in the Pearl River Delta region, with the aim of offering insights for health administrations to enhance the allocation of health resources and optimize hospital operations. Methods The study analyzed the operational efficiency of public hospitals in the Pearl River Delta region using the DEA-BCC model and Malmquist index model in static and dynamic dimensions, respectively. The influencing factors of operational efficiency were examined through the panel Tobit regression model. Results The mean values of comprehensive efficiency, pure technical efficiency, and scale efficiency in public hospitals of the Pearl River Delta region were 0.937, 0.966, and 0.969, respectively. Only Zhuhai and Zhongshan have achieved DEA efficient status, accounting for 22.2% of the total. The mean value of the total factor productivity index for public hospitals during 2016-2021 was 0.992, indicating a slight decrease of 0.8%. Factors affecting the operational efficiency of public hospitals include the total number of consultations, per capita hospitalization cost, GDP per capita, and resident population. Conclusion The overall operational efficiency of public hospitals in the Pearl River Delta region is low, with problems of rapid expansion and inadequate performance in some cities. It is suggested that public hospitals enhance their competitiveness based on their positioning, enhance internal management through fine-tuning, and focus on improving technical skills.

  Key words: Public hospitals; Operational efficiency; Influencing factors; Data envelopment analysis; Tobit regression

  Submit time: 12 October 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• ZHU Yi-xi, FENG Yu-ying. A Study on the regional differences and optimization paths of public health resource allocation efficiency in China: based on three-stage DEA model and panel Tobit. 2023. doi: 10.12201/bmr.202301.00006

  wangyunxiu, zhaoyuhong. Exploration And Research On The Lean Operation Management Model Of Public Hospitals Promoted By Big Data Governance. 2021. doi: 10.12201/bmr.202110.00016

  SHANZHIYI, anxinying. Research Efficiency of Tertiary Hospitals in Shenzhen based on Stochastic Frontier Analysis Model. 2022. doi: 10.12201/bmr.202208.00001

  Li Qiang. Study on the Relationship between Organizational Factors and Multidisciplinary Teamwork Behavior in Third Class Public Hospitals in Hangzhou: a Moderated Mediation Model. 2024. doi: 10.12201/bmr.202403.00003

  YU Ling-yun, YU Meng-di. Study on operating efficiency and influencing factors of medical insurance fund for Urban and Rural residents. 2021. doi: 10.12201/bmr.202109.00035

  cuijinguang, wuxiuchun, douyifeng, mengwentao, yangjie. Design and implementation of performance appraisal data monitoring system for tertiary public hospitals. 2021. doi: 10.12201/bmr.202109.00018

  Wei Jingming, Gao Qilong, Huang Minzhuo, Dong Hengjin. Study on the Operation Efficiency of County Medical Community in Zhejiang Province Based on DEA Model. 2021. doi: 10.12201/bmr.202005.00252

  wangwenjuan, liangjuanjuan, huyangyi, caiyuanqing, fanrong, yingbaisong, zhangyuwei. Evaluation of the Impact of DRG Reform on Hospitalization Costs Based on Synthetic Control Method: An Empirical Study in Beijing Tertiary Public Hospitals. 2024. doi: 10.12201/bmr.202404.00024

  Zhang Lijiang, WEI qI, Sun Jianwei, Meng Yong. Research on the preference of doctors in public hospitals to carry out Internet diagnosis and treatment services -- Based on discrete selection experiment. 2022. doi: 10.12201/bmr.202212.00004

• ID	Submit time	Number	Download
  1	2024-09-27	bmr.202410.00031V1	Download

• Public  Anonymous  To author only Submit Comments