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用于监测不良事件的介于数字之间的g型统计质量控制图。

Number-between g-type statistical quality control charts for monitoring adverse events.

作者信息

Benneyan J C

机构信息

Snell Engineering Center, Northeastern University, Boston, MA 02115, USA.

出版信息

Health Care Manag Sci. 2001 Dec;4(4):305-18. doi: 10.1023/a:1011846412909.

Abstract

Alternate Shewhart-type statistical control charts, called "g" and "h" charts, are developed and evaluated for monitoring the number of cases between hospital-acquired infections and other adverse events, such as heart surgery complications, catheter-related infections, surgical site infections, contaminated needle sticks, and other iatrically induced outcomes. These new charts, based on inverse sampling from geometric and negative binomial distributions, are simple to use and can exhibit significantly greater detection power over conventional binomial-based approaches, particularly for infrequent events and low "defect" rates. A companion article illustrates several interesting properties of these charts and design modifications that significantly can improve their statistical properties, operating characteristics, and sensitivity.

摘要

开发并评估了交替式休哈特型统计控制图,即“g”图和“h”图,用于监测医院获得性感染与其他不良事件(如心脏手术并发症、导管相关感染、手术部位感染、污染针刺伤及其他医源性诱发结果)之间的病例数。这些基于几何分布和负二项分布的逆抽样的新图表使用简便,与传统的基于二项分布的方法相比,具有显著更高的检测能力,尤其适用于罕见事件和低“缺陷”率情况。一篇配套文章阐述了这些图表的几个有趣特性以及能显著改善其统计特性、操作特征和灵敏度的设计修改。

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