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实施手术室接触预防决策算法以促进跨专业团队合作进行感染预防。

Implementing an OR Contact Precautions Decision Algorithm to Promote Interprofessional Teamwork for Infection Prevention.

作者信息

Lacourciere Andrea, Kumar Orissa, Apold Susan

出版信息

AORN J. 2019 May;109(5):597-611. doi: 10.1002/aorn.12667.

Abstract

Perioperative nurses use aseptic and sterile technique along with standard cleaning and disinfection practices to prevent surgical site infections. At our hospital, OR team members identified a clinical problem: the lack of a systematic approach to determine the type of postprocedure cleaning required between procedures involving patients with multi-drug resistant organisms or Clostridium difficile. Facility leaders developed a project to design and implement an evidence-based decision-making algorithm to help perioperative nurses rapidly identify the appropriate environmental cleaning procedures for these ORs. After the perioperative nurses were taught how to use the algorithm, it was put into use. Nineteen months later, the nurses completed a postimplementation survey. The results of the survey were generally positive, and the cleaning process was more standardized. We found that a decision-making algorithm was an effective tool to determine the proper postprocedure environmental cleaning between surgical procedures for patients with multi-drug resistant organisms or C difficile.

摘要

围手术期护士采用无菌和消毒技术以及标准的清洁和消毒措施来预防手术部位感染。在我们医院,手术室团队成员发现了一个临床问题:在涉及耐多药微生物或艰难梭菌患者的手术之间,缺乏一种系统的方法来确定所需的术后清洁类型。医院领导开展了一个项目,设计并实施一种基于证据的决策算法,以帮助围手术期护士快速确定这些手术室合适的环境清洁程序。在向围手术期护士传授了如何使用该算法后,它开始投入使用。19个月后,护士们完成了一项实施后调查。调查结果总体上是积极的,清洁过程更加标准化。我们发现,决策算法是确定耐多药微生物或艰难梭菌患者手术之间适当的术后环境清洁的有效工具。

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Environmental surveillance in the operating room.
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