基于数据包围分析模型的异体感染管理效率的评估
Jin Wang1, Gan Wang2,3, Chaoyi Qi4
1Department of Healthcare-associated Infection Management, Qingdao Municipal Hospital, Qingdao, People's Republic of China.
Risk management and healthcare policy
|April 9, 2025
概括
这项研究使用数据包裹分析 (DEA) 评估了医院感染控制效率. 大多数部门表现出高效率,但56%需要改善资源配置和措施,以获得更好的感染预防结果.
科学领域:
- 医疗保健管理的管理
- 医院管理局 医院管理局
- 感染控制 感染控制
背景情况:
- 评估感染控制的相对效率对于医院绩效评估至关重要.
- 数据包围分析 (DEA) 提供了一个强大的框架来评估医疗保健机构的效率.
研究的目的:
- 评估不同临床部门感染控制实践的相对效率.
- 通过绩效评估,确定预防和控制感染的改进领域.
主要方法:
- 雇员数据包装分析 (DEA) 具有五个输入和两个输出指标,用于感染控制.
- 利用银行家 - 查尔内斯 - 库珀 (BCC) 模型来评估纯技术效率.
- 选择所有医院病房和部门从2022年1月到12月作为决策单位 (DMU).
主要成果:
- 在27个临床部门的输入-输出指数中观察到显著的差异.
- 平均技术,纯技术,规模和综合效率都很高 (0.987,0.995,0.992,0.980).这些效率都很高.
- 44%的部门高效 (DEA高效),而56%需要改进.
结论:
- BCC模型确定了在非DEA有效部门改进输出指数的具体领域.
- 优化资源分配和完善控制措施可以提高库存控制和整体感染预防效率.
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