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可预防的患者伤害:使用谷氨酸脱氢酶/毒素免疫胶体金渗滤法/核酸扩增试验诊断算法的减少艰难梭菌感染的多学科捆绑式方法。

Preventable Patient Harm: a Multidisciplinary, Bundled Approach to Reducing Clostridium difficile Infections While Using a Glutamate Dehydrogenase/Toxin Immunochromatographic Assay/Nucleic Acid Amplification Test Diagnostic Algorithm.

机构信息

University of North Carolina Medical Center, Chapel Hill, North Carolina, USA

University of North Carolina Medical Center, Chapel Hill, North Carolina, USA.

出版信息

J Clin Microbiol. 2018 Aug 27;56(9). doi: 10.1128/JCM.00625-18. Print 2018 Sep.

Abstract

Health care facility-onset infections (HO-CDI) are an important national problem, causing increased morbidity and mortality. HO-CDI is an important metric for the Center for Medicare and Medicaid Service's (CMS) performance measures. Hospitals that fall into the worst-performing quartile in preventing hospital-acquired infections, including HO-CDI, may lose millions of dollars in reimbursement. Under pressure to reduce CDI and without a clear optimal method for detection, health care facilities are questioning how best to use highly sensitive nucleic acid amplification tests (NAATs) to aid in the diagnosis of CDI. Our institution has used a two-step glutamate dehydrogenase (GDH)/toxin immunochromatographic assay/NAAT algorithm since 2009. In 2016, our institution set an organizational goal to reduce our CDI rates by 10% by July 2017. We achieved a statistically significant reduction of 42.7% in our HO-CDI rate by forming a multidisciplinary group to implement and monitor eight key categories of infection prevention interventions over a period of 13 months. Notably, we achieved this reduction without modifying our laboratory algorithm. Significant reductions in CDI rates can be achieved without altering sensitive laboratory testing methods.

摘要

医疗机构相关性感染(HO-CDI)是一个重要的全国性问题,会导致发病率和死亡率上升。HO-CDI 是医疗保险和医疗补助服务中心(CMS)绩效措施的一个重要指标。在预防医院获得性感染(包括 HO-CDI)方面表现最差的四分之一的医院可能会损失数百万美元的报销。在降低 CDI 的压力下,并且没有明确的最佳检测方法,医疗机构质疑如何最好地使用高灵敏度核酸扩增检测(NAAT)来辅助 CDI 的诊断。自 2009 年以来,我们机构一直使用两步谷氨酸脱氢(GDH)/毒素免疫层析测定/NAAT 算法。2016 年,我们机构设定了一个组织目标,即在 2017 年 7 月前将 CDI 率降低 10%。我们通过组建一个多学科小组,在 13 个月的时间内实施和监测八个关键类别的感染预防干预措施,使 HO-CDI 率统计学显著降低了 42.7%。值得注意的是,我们在不改变实验室算法的情况下实现了这一降低。在不改变敏感实验室检测方法的情况下,可以显著降低 CDI 率。

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