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The probability of being identified as an outlier with commonly used funnel plot control limits for the standardised mortality ratio

机译:具有标准化漏斗率的常用漏斗图控制限制的被识别为异常值的概率

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摘要

BackgroundEmphasis is increasingly being placed on the monitoring of clinical outcomes for health care providers. Funnel plots have become an increasingly popular graphical methodology used to identify potential outliers. It is assumed that a provider only displaying expected random variation (i.e. ‘in-control’) will fall outside a control limit with a known probability. In reality, the discrete count nature of these data, and the differing methods, can lead to true probabilities quite different from the nominal value. This paper investigates the true probability of an ‘in control’ provider falling outside control limits for the Standardised Mortality Ratio (SMR).
机译:背景技术越来越重视对医疗保健提供者的临床结果进行监测。漏斗图已成为一种日益流行的用于识别潜在异常值的图形方法。假设仅显示预期的随机变化(即“处于控制中”)的提供者将以已知概率落入控制限制之外。实际上,这些数据的离散计数性质以及不同的方法可能导致与标称值完全不同的真实概率。本文调查了“受控制的”提供者超出标准化死亡率(SMR)的控制限制的真实可能性。

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