1Department of Medicine,University of Pennsylvania Perelman School of Medicine,Philadelphia,Pennsylvania.
2Center for Evidence-Based Practice,University of Pennsylvania Health System,Philadelphia,Pennsylvania.
Infect Control Hosp Epidemiol. 2017 Oct;38(10):1204-1208. doi: 10.1017/ice.2017.161. Epub 2017 Aug 1.
OBJECTIVE To evaluate the effectiveness of a computerized clinical decision support intervention aimed at reducing inappropriate Clostridium difficile testing DESIGN Retrospective cohort study SETTING University of Pennsylvania Health System, comprised of 3 large tertiary-care hospitals PATIENTS All adult patients admitted over a 2-year period INTERVENTION Providers were required to use an order set integrated into a commercial electronic health record to order C. difficile toxin testing. The order set identified patients who had received laxatives within the previous 36 hours and displayed a message asking providers to consider stopping laxatives and reassessing in 24 hours prior to ordering C. difficile testing. Providers had the option to continue or discontinue laxatives and to proceed with or forgo testing. The primary endpoint was the change in inappropriate C. difficile testing, as measured by the number of patients who had C. difficile testing ordered while receiving laxatives. RESULTS Compared to the 1-year baseline period, the intervention resulted in a decrease in the proportion of inappropriate C. difficile testing (29.6% vs 27.3%; P=.02). The intervention was associated with an increase in the number of patients who had laxatives discontinued and did not undergo C. difficile testing (5.8% vs 46.4%; P<.01) and who had their laxatives discontinued and underwent testing (5.4% vs 35.2%; P<.01). We observed a nonsignificant increase in the proportion of patients with C. difficile related complications (5.0% vs 8.9%; P=.11). CONCLUSIONS A C. difficile order set was successful in decreasing inappropriate C. difficile testing and improving the timely discontinuation of laxatives. Infect Control Hosp Epidemiol 2017;38:1204-1208.
评估旨在减少不合理的艰难梭菌检测的计算机临床决策支持干预的效果。
回顾性队列研究。
宾夕法尼亚大学健康系统,由 3 家大型三级保健医院组成。
在 2 年期间入院的所有成年患者。
要求提供者使用集成到商业电子病历中的医嘱集来订购艰难梭菌毒素检测。该医嘱集确定了在过去 36 小时内接受过泻药的患者,并显示一条消息,要求提供者在订购艰难梭菌检测前考虑停止泻药并在 24 小时内重新评估。提供者可以选择继续或停止使用泻药,并选择进行或放弃检测。主要终点是衡量在接受泻药时订购艰难梭菌检测的不合理数量的变化,即接受艰难梭菌检测的患者数量。
与 1 年基线期相比,干预导致不合理的艰难梭菌检测比例下降(29.6%对 27.3%;P=0.02)。干预与停止使用泻药且未进行艰难梭菌检测的患者数量增加(5.8%对 46.4%;P<.01)和停止使用泻药且进行检测的患者数量增加(5.4%对 35.2%;P<.01)相关。我们观察到与艰难梭菌相关的并发症比例略有增加(5.0%对 8.9%;P=0.11)。
艰难梭菌医嘱集成功减少了不合理的艰难梭菌检测,并改善了泻药的及时停用。感染控制与医院流行病学 2017;38:1204-1208。