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医院及监测网络中手术部位感染(SSI)的自动监测——实施的专家观点

Automated surveillance for surgical site infections (SSI) in hospitals and surveillance networks-expert perspectives for implementation.

作者信息

Denkel Luisa A, Arnaud Isabelle, Brekelmans Manon, Puig-Asensio Mireia, Amin Hoger, Gubbels Sophie, Iversen Pernille, Abbas Mohamed, Presterl Elisabeth, Astagneau Pascal, van Rooden Stephanie

机构信息

Institute of Hygiene and Environmental Medicine, Charité Universitätsmedizin Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, Hindenburgdamm 27, 12203, Berlin, Germany.

National Reference Center for the Surveillance of Nosocomial Infections, Charité Universitätsmedizin Berlin, Humboldt-Universität Zu Berlin and Berlin Institute of Health, Berlin, Germany.

出版信息

Antimicrob Resist Infect Control. 2024 Dec 23;13(1):155. doi: 10.1186/s13756-024-01505-2.

Abstract

BACKGROUND

This work aims at providing practical recommendations for implementing automated surveillance (AS) of surgical site infections (SSI) in hospitals and surveillance networks. It also provides an overview of the steps, choices, and obstacles that need to be taken into consideration when implementing such surveillance. Hands-on experience with existing automated surveillance systems of SSI (AS SSI systems) in Denmark, France, the Netherlands and Spain is described regarding trend monitoring, benchmarking, quality control, and research for surveillance purposes.

METHODS

Between April and October 2023, specific aspects/options of various surveillance purposes for AS SSI were identified during regular meetings of the SSI working group in the PRAISE (Providing a Roadmap for Automated Infection Surveillance in Europe) network. Expert discussions provided the basis for this perspective article.

RESULTS

Decisions for implementation of AS SSI systems highly depend on the purpose of the surveillance. AS SSI systems presented here differ according to study population, setting, central or local implementation; the level of automation, design, and the data sources used. However, similarities were found for the rationales of automation, design principles and obstacles that were identified. There was consensus among all the experts that shortcomings in interoperability of databases, limited time, a want of commitment on the part of stakeholders, and a shortage of resources for information technology (IT) specialists represent the main obstacles for implementing AS SSI. To overcome obstacles, various solutions were reported, including training in the development of AS systems and the interpretation of AS SSI results, early consultation of end-users, and regular exchanges between management levels, IT departments, infection prevention and control (IPC) teams, and clinicians.

CONCLUSION

Clarity on the intended application (e.g. purpose of surveillance) and information on the availability of electronic and structured data are crucial first steps necessary for guiding decisions on the design of AS systems. Adequate resources for IT specialists and regular communication between management, IT departments, IPC teams, and clinicians were identified as essential for successful implementation. This perspective article may be helpful for a wider implementation of more homogeneous AS SSI systems in Europe.

摘要

背景

本研究旨在为医院及监测网络实施手术部位感染(SSI)的自动化监测(AS)提供实用建议。同时,还概述了实施此类监测时需要考虑的步骤、选择和障碍。介绍了丹麦、法国、荷兰和西班牙在利用现有SSI自动化监测系统(AS SSI系统)进行趋势监测、基准对比、质量控制及监测研究方面的实践经验。

方法

2023年4月至10月期间,在欧洲自动化感染监测路线图(PRAISE)网络的SSI工作组定期会议上,确定了AS SSI各种监测目的的具体方面/选项。专家讨论为这篇观点文章提供了依据。

结果

AS SSI系统的实施决策高度依赖于监测目的。本文介绍的AS SSI系统因研究人群、环境、中央或地方实施情况;自动化程度、设计以及所使用的数据源而有所不同。然而,在自动化原理、设计原则和已识别的障碍方面发现了相似之处。所有专家一致认为,数据库互操作性不足、时间有限、利益相关者缺乏投入以及信息技术(IT)专家资源短缺是实施AS SSI的主要障碍。为克服这些障碍,报告了各种解决方案,包括AS系统开发及AS SSI结果解读方面的培训、终端用户的早期咨询以及管理层、IT部门、感染预防与控制(IPC)团队和临床医生之间的定期交流。

结论

明确预期应用(如监测目的)以及电子和结构化数据的可用性信息是指导AS系统设计决策的关键第一步。确定IT专家的充足资源以及管理层、IT部门、IPC团队和临床医生之间的定期沟通对于成功实施至关重要。这篇观点文章可能有助于在欧洲更广泛地实施更统一的AS SSI系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72ca/11667888/9b78a4112121/13756_2024_1505_Fig1_HTML.jpg

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