使用医疗保险和医疗补助服务中心的护理数据进行比较,以创建医院获得的感染数值值:一个SAS程序和分析
Benjamin D Pollock1, Lorelle L Ziegelbauer2
1Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Jacksonville, FL, USA.
美国医院现在可以使用共享的统计分析系统 (SAS) 程序计算医院获得的感染值. 该工具有助于设施实现基准标准化感染率绩效百分点.
科学领域:
- 医疗保健分析 医疗保健分析
- 传染病流行病学 传染病流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 医院感染 (HAI) 是一个重要的患者安全问题,也是医疗机构的质量指标.
- 准确的基准测试和绩效监测对于有效的HAI减少策略至关重要.
- 标准化感染率 (SIR) 是一个关键绩效指标,用于比较医院之间的感染率.
研究的目的:
- 为美国医院提供一个实用的工具,以确定特定的HAI值.
- 为了使医院能够计算出实现所需标准化感染率 (SIR) 绩效百分点所需的门值.
- 促进数据驱动的质量改进倡议,以预防HAI.
主要方法:
- 开发和共享一个统计分析系统 (SAS) 程序.
- 该程序计算了医院特定的HAI值计数.
- 该方法允许设置预先指定的基准SIR性能百分位数.
主要成果:
- 所有美国医院都可以使用易于访问的SAS程序.
- 医院可以计算他们独特的HAI值计数.
- 该工具支持实现目标SIR性能水平.
结论:
- 共同的SAS计划使医院能够主动管理和改善他们的HAI绩效.
- 该资源有助于对国家基准进行客观测量.
- 该工具的实施可以有助于提高患者的安全性和减少全国的感染率.
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