Use of optimised dual statistical process control charts for early detection of surgical site infection outbreaks
Use of optimised dual statistical process control charts for early detection of surgical site infection outbreaks
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DOI：
10.1136/bmjqs-2019-010586
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发表时间：
2020-06-01
影响因子：
5.4
通讯作者：
Anderson, Deverick J.
中科院分区：
文献类型：
--
作者：
Baker, Arthur W.;Nehls, Nicole;Anderson, Deverick J.
方法回顾性应用优化的MA SPC图8对2007年至2015年在杜克大学感染控制外联网络（DICON）中发现和调查的所有30例SSI暴发进行分析，该网络由50多家社区医院组成（在线补充表）。我们使用来自整个网络或单个爆发医院的特定程序SSI数据来计算图表基线或预期SSI率。基线窗口是用于在滚动基础上估计预期SSI率的时间段。滞后是每个评估时间点与相应基线窗口之间的偏移量（以月为单位）。MA跨度是每月SSI率的平均值，按各自的样本量加权，以计算每个绘制点。
MethodsWe retrospectively applied an optimised pair of MA SPC charts 8 to all 30 SSI outbreaks previously identified and investigated from 2007 to 2015 in the Duke Infection Control Outreach Network (DICON), a network of more than 50 community hospitals (online supplementary table). 9 We used procedure-specific SSI data from either the entire network or the single outbreak hospital to calculate chart baselines, or expected SSI rates. The baseline window was the time period used to estimate the expected SSI rate on a rolling basis. The lag was the offset (in months) between each evaluated time point and the corresponding baseline window. The MA span was the number of monthly SSI rates that were averaged, weighted by their respective sample sizes, to calculate each plotted point.