Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Hindenburgdamm 27, 12203, Berlin, Germany.
National Reference Center for Surveillance of Nosocomial Infections, Hindenburgdamm 27, 12203, Berlin, Germany.
Antimicrob Resist Infect Control. 2023 May 19;12(1):49. doi: 10.1186/s13756-023-01253-9.
Surveillance of surgical site infections (SSI) relies on access to data from various sources. Insights into the practices of German hospitals conducting SSI surveillance and their information technology (IT) infrastructures are scarce. The aim of this study was to evaluate current SSI surveillance practices in German hospitals with a focus on employed IT infrastructures.
German surgical departments actively participating in the national SSI surveillance module "OP-KISS" were invited in August 2020 to participate in a questionnaire-based online survey. Depending on whether departments entered all data manually or used an existing feature to import denominator data into the national surveillance database, departments were separated into different groups. Selected survey questions differed between groups.
Of 1,346 invited departments, 821 participated in the survey (response rate: 61%). Local IT deficits (n = 236), incompatibility of import specifications and hospital information system (n = 153) and lack of technical expertise (n = 145) were cited as the most frequent reasons for not using the denominator data import feature. Conversely, reduction of workload (n = 160) was named as the main motivation to import data. Questions on data availability and accessibility in the electronic hospital information system (HIS) and options to export data from the HIS for the purpose of surveillance, yielded diverse results. Departments utilizing the import feature tended to be from larger hospitals with a higher level of care.
The degree to which digital solutions were employed for SSI surveillance differed considerably between surgical departments in Germany. Improving availability and accessibility of information in HIS and meeting interoperability standards will be prerequisites for increasing the amount of data exported directly from HIS to national databases and laying the foundation for automated SSI surveillance on a broad scale.
手术部位感染（SSI）监测依赖于获取来自各种来源的数据。德国医院进行 SSI 监测及其信息技术（IT）基础设施的实践情况鲜为人知。本研究旨在评估德国医院当前的 SSI 监测实践，重点关注所采用的 IT 基础设施。
2020 年 8 月，邀请积极参与国家 SSI 监测模块“OP-KISS”的德国外科部门参与基于问卷的在线调查。根据部门是手动输入所有数据还是使用现有功能将分母数据导入国家监测数据库，将部门分为不同的组。各组之间的选定调查问题有所不同。
在邀请的 1346 个部门中，有 821 个部门参与了调查（回应率：61%）。不使用分母数据导入功能的最常见原因包括当地 IT 缺陷（n=236）、导入规范与医院信息系统不兼容（n=153）和缺乏技术专业知识（n=145）。相反，减少工作量（n=160）被列为导入数据的主要动机。关于电子医院信息系统（HIS）中数据的可用性和可访问性以及从 HIS 导出数据用于监测的选项的问题，得出了不同的结果。使用导入功能的部门往往来自护理水平较高的较大医院。
德国外科部门在采用数字解决方案进行 SSI 监测方面存在相当大的差异。提高 HIS 中信息的可用性和可访问性，并满足互操作性标准，将是增加从 HIS 直接向国家数据库导出数据的数量并为大规模自动 SSI 监测奠定基础的前提条件。
