Barker Anna, Mengersen Kerrie, Morton Anthony
Centre of Research Excellence in Patient Safety, Department of Epidemiology and Preventive Medicine, Monash University, The Alfred Centre, Melbourne, VIC. 3004, Australia.
Aust Health Rev. 2012 Nov;36(4):374-7. doi: 10.1071/AH11132.
Monitoring hospital performance using patient safety indicators is one of the key components of healthcare reform in Australia. Mortality indicators, including the hospital standardised mortality ratio and deaths in low mortality diagnosis reference groups have been included in the core national hospital-based outcome indicator set recommended for local generation and review and public reporting. Although the face validity of mortality indicators such as these is high, an increasing number of studies have demonstrated that there are concerns regarding their internal, construct and criterion validity. Use of indicators with poor validity has the consequence of potentially incorrectly classifying hospitals as performance outliers and expenditure of limited hospital staff time on activities which may provide no gain to hospital quality and safety and may in fact cause damage to morale. This paper reviews the limitations of current approaches to monitoring hospital quality and safety performance using mortality indicators. It is argued that there are better approaches to improving performance than monitoring with mortality indicators generated from hospital administrative data. These approaches include use of epidemiologically sound, clinically relevant data from clinical-quality registries, better systems of audit, evidence-based bundles, checklists, simulators and application of the science of complex systems.
使用患者安全指标监测医院绩效是澳大利亚医疗改革的关键组成部分之一。死亡率指标,包括医院标准化死亡率和低死亡率诊断参考组中的死亡人数,已被纳入国家核心医院结局指标集,该指标集建议用于本地生成、审查和公开报告。尽管此类死亡率指标的表面效度很高,但越来越多的研究表明,人们对其内部效度、结构效度和效标效度存在担忧。使用效度不佳的指标可能会导致将医院错误地归类为绩效异常值,并耗费医院工作人员有限的时间去开展一些可能对医院质量和安全毫无益处、实际上可能还会打击士气的活动。本文回顾了当前使用死亡率指标监测医院质量和安全绩效方法的局限性。有人认为,有比使用医院行政数据生成的死亡率指标进行监测更好的提高绩效的方法。这些方法包括使用来自临床质量登记处的符合流行病学原理且临床相关的数据、更好的审计系统、循证集束、检查表、模拟器以及复杂系统科学的应用。