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识别昆士兰医院护理质量的差异。

Identifying variations in quality of care in Queensland hospitals.

作者信息

Duckett Stephen J, Coory Michael, Sketcher-Baker Kirstine

机构信息

Reform and Development Division, Queensland Health, Brisbane, QLD, Australia.

出版信息

Med J Aust. 2007 Nov 19;187(10):571-5. doi: 10.5694/j.1326-5377.2007.tb01419.x.

Abstract

Identifying and acting on variations from good practice is one of the critical tasks of clinical governance. We describe one aspect of Queensland's post-Bundaberg clinical governance arrangements: the use of variable life-adjusted displays (VLADs) to monitor outcomes of care in the 87 largest public and private hospitals in Queensland, which together account for 83% of all hospital activity. VLAD control charts were created for 31 clinical indicators using routinely collected data, and are disseminated monthly. About a third of hospitals had a run of cases in the 3-year period that flagged at the 30% level (local level investigation). For three indicators, about one in five hospitals had sufficiently cumulatively more deaths than statistically expected that the hospital was highlighted for state-wide review. VLADs do not provide definitive answers about the quality of care. They are used to develop ideas about why variations in reported outcomes occur and suggest possible solutions, be they ways of improving data quality, improving casemix adjustment, or implementing system changes to improve quality of care. Critical to the approach is that there is not just monitoring - the monitoring is tied in with systems that ensure that investigation, learning and action occur as a result of a flag.

摘要

识别与良好实践的差异并采取相应行动是临床治理的关键任务之一。我们描述了昆士兰州班德伯格事件后临床治理安排的一个方面:利用可变寿命调整显示(VLADs)来监测昆士兰州87家最大的公立和私立医院的护理结果,这些医院的活动量占该州医院活动总量的83%。利用常规收集的数据为31项临床指标创建了VLAD控制图,并每月发布。在三年期间,约三分之一的医院出现了达到30%水平(进行局部调查)的病例系列。对于三项指标,约五分之一的医院累积死亡人数比统计预期足够多,因而被列为全州审查对象。VLADs并不能提供有关护理质量的确切答案。它们用于探讨报告结果出现差异的原因,并提出可能的解决方案,这些方案可能包括提高数据质量的方法、改进病例组合调整或实施系统变革以提高护理质量。该方法的关键在于不仅仅是监测——监测与确保因警示而进行调查、学习和采取行动的系统相结合。

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