中国初级医疗保健系统的效率评估和需求预测:全面的SBM-DDF-GML分析
Siye Huang1, Yao Li1, Daiqing Cao1
1School of Management, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Frontiers in public health
|February 19, 2026
概括
中国中国中国中国.
科学领域:
- 医疗保健管理的管理
- 卫生经济学 卫生经济学
- 公共卫生政策 公共卫生政策
背景情况:
- 越来越多的社会老龄化推动了对高质量的初级医疗保健的需求.
- 能力不足和资源分配不足阻碍了初级医疗保健的发展.
- 科学评估系统对于评估初级医疗保健效率至关重要.
研究的目的:
- 评估中国初级医疗机构的输入-输出效率.
- 为了识别潜在的不合理的住院.
- 预测未来的初级医疗保健需求.
主要方法:
- 结合的松基测量,方向距离函数和全球马尔姆奎斯特-卢恩伯格 (SBM-DDF-GML) 用于效率分析.
- 主要卫生保健机构 (2010-2022) 的静态和动态效率分析.
- 随机森林模型用于预测初级医疗保健需求.
主要成果:
- 从2010年到2022年,SBM-DDF的平均效率得分为0.92分.
- 东部和西部地区的效率高于中部地区,显示出不平衡.
- 预计到2029年,初级医疗保健的需求将增加,将达到107亿次门诊.
结论:
- 在初级医疗保健效率方面,区域差异仍然存在.
- 建议加强区域合作,优化资源分配.
- 政策洞察力旨在弥合效率差距,确保公平的医疗保健服务.
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