数据包络分析
生产力
业务
医疗保健
托比模型
资源配置
环境经济学
运营管理
马尔奎斯特指数
医学
环境资源管理
计算机科学
全要素生产率
经济
经济增长
机器学习
数学优化
数学
计算机网络
作者
Fangfang Gong,Ying Zhou,Junxia Luo,Guangyu Hu,Hanqun Lin
标识
DOI:10.3389/fpubh.2024.1395633
摘要
Objective This study aims to assess the efficiency and productivity of the Luohu Hospital Group after the reform and to identify factors influencing the efficiency to support the future development of medical consortia. Methods Data on health resources from Shenzhen and the Luohu Hospital Group for the years 2015 to 2021 were analyzed using the super-efficiency slack-based measure data envelopment analysis (SE-SBM-DEA) model, Malmquist productivity index (MPI), and Tobit regression to evaluate changes in efficiency and productivity and to identify determinants of efficiency post-reform. Results After the reform, the efficiency of health resource allocation within the Luohu Hospital Group improved by 33.87%. Community health centers (CHCs) within the group had an average efficiency score of 1.046. Moreover, the Luohu Hospital Group’s average total factor productivity change (TFPCH) increased by 2.5%, primarily due to gains in technical efficiency change (EFFCH), which offset declines in technical progress change (TECHCH). The efficiency scores of CHCs were notably affected by the ratio of general practitioners (GPs) to health technicians and the availability of home hospital beds. Conclusion The reform in the Luohu healthcare system has shown preliminary success, but continuous monitoring is necessary. Future strategies should focus on strengthening technological innovation, training GPs, and implementing the home hospital bed policy. These efforts will optimize the efficiency of health resource allocation and support the integration and development of resources within the medical consortium.
科研通智能强力驱动
Strongly Powered by AbleSci AI