Department of Anesthesia, Division of Management Consulting, University of Iowa, Iowa City, IA.
Department of Management Sciences, University of Iowa, Iowa City, IA.
Am J Infect Control. 2020 May;48(5):566-572. doi: 10.1016/j.ajic.2019.08.017. Epub 2019 Oct 19.
We review the impact of the consequences of operating room (OR) management decision making on power analyses for observational studies of surgical site infections (SSIs) among patients receiving care in ORs with interventions versus without interventions involving physical changes to ORs. Examples include ventilation systems, bactericidal lighting, and physical alterations to ORs.
We performed a narrative review of operating room management and surgical site infection articles. We used 10-years of operating room data to estimate parameters for use in statistical power analyses.
Creating pivot tables or monthly control charts of SSI per case by OR and comparing among ORs with or without intervention is not recommended. This approach has low power to detect a difference in SSI rates among the ORs with or without the intervention. The reason is that appropriate OR case scheduling decision making causes risk factors for SSI to differ among ORs, even when stratifying by surgical specialty. Such risk factors include case duration, urgency, and American Society of Anesthesiologists' Physical Status. Instead, analyze SSI controlling for the OR, where the patient had surgery, and matching patients using these variables is preferable. With α = 0.05, 600 cases per OR, 5 intervention ORs, and 5 or 1 control patients for each intervention patient, reasonable power (≅94% or 78%, respectively) can be achieved to detect reductions (3.6% to 2.4%) in the incidence of SSI between ORs with or without the intervention.
By using this matched cohort design, the effect of the purchase and installation of capital equipment in ORs on SSI can be evaluated meaningfully.
我们回顾了手术室(OR)管理决策后果对接受手术室干预(涉及手术室物理变化的干预措施,如通风系统、杀菌照明和手术室物理改造)与无干预的手术部位感染(SSI)观察性研究的效力分析的影响。
我们对手术室管理和手术部位感染文章进行了叙述性综述。我们使用了 10 年的手术室数据来估计用于统计效力分析的参数。
不建议创建按手术室和病例的 SSI 每月控制图或每月控制图,并比较有无干预的手术室之间的差异。这种方法对检测有无干预的手术室之间 SSI 发生率差异的效力较低。原因是适当的手术室病例安排决策会导致 SSI 的风险因素在有无干预的手术室之间存在差异,即使按手术专业进行分层也是如此。这些风险因素包括手术持续时间、紧急情况和美国麻醉医师协会身体状况。相反,分析控制手术室(患者接受手术的地方)的 SSI,并使用这些变量匹配患者,这样做更为可取。当α=0.05、每个手术室 600 例、5 个干预手术室和每个干预患者 5 个或 1 个对照患者时,可以实现合理的效力(分别为≅94%或 78%),以检测有无干预的手术室之间 SSI 发生率的降低(3.6%至 2.4%)。
通过使用这种匹配队列设计,可以有意义地评估手术室购买和安装资本设备对 SSI 的影响。