Swissnoso, Swiss Centre for Infection Prevention, Bern, Switzerland / Cantonal Physician Office, Canton of Geneva, Switzerland.
Swissnoso, Swiss Centre for Infection Prevention, Bern, Switzerland / Division of Infectious diseases and Hospital Epidemiology, University of Basel Hospitals and Clinics, Basel, Switzerland.
Swiss Med Wkly. 2021 Jul 14;151:w20516. doi: 10.4414/smw.2021.20516. eCollection 2021 Jul 5.
Optimal surveillance and prevention of healthcare-associated infections (HAI) are crucial for a well-functioning health care system. With a view to establishing a national state-of-the-art programme for surveillance and prevention of HAIs, the Swiss National Center for Infection Control, Swissnoso, developed a survey to explore the options for expanding the existing Swiss HAI surveillance system.
An online survey was sent to all Swiss acute care hospitals. Local infection prevention and control (IPC) professionals were asked to answer on behalf of their institutions. The questions covered the structure and organisation of IPC programmes, current preventive measures, availability and capacity of electronic medical record (EMR) systems, and ability and willingness to establish and participate in the proposed new surveillance modules. An invitation was sent to the 156 acute care hospitals and hospital networks in June 2020. Responses were collected up to the end of August 2020.
Ninety-four hospitals and hospital networks out of 156 (60%) completed the survey. Among 84 hospitals reporting the number of acute care beds, 61 (73%) were small (<200 beds), 16 (19%) medium (200–650 beds) and 7 (8%) large hospitals (>650 beds). Twenty-nine different EMR systems were used in the participating hospitals. Twenty-two hospitals were using a different EMR system in their intensive care unit. There were 17 hospitals (18%) without an EMR system but which planned to introduce one soon, and eight small hospitals (9%) neither had an EMR system nor were preparing to introduce one. Surveillance for central-line associated bloodstream infection, catheter-associated urinary tract infection and ventilator-associated pneumonia were already established in 26 (28%), 15 (16%) and 15 (16%) hospitals, respectively. Thirty hospitals (36%) would be willing to participate in the pilot phase of a new surveillance system. Of these, 15 stated that they wanted to be part of the pilot hospital network, 6 could provide hospital-wide surveillance denominators (such as catheter-days and patient-days) to compute incidence rates, and 8 indicated interest in doing both. Large hospitals interested in participating in the pilot phase reported more full-time equivalent staff available for surveillance activities than those who did not declare an interest.
Baseline information on hospital IPC structure and process indicators are essential for the roll-out of national surveillance programmes and for improving surveillance activities. Having an EMR system in place and adequate personnel resources dedicated for surveillance activities are crucial prerequisites for developing and implementing an effective HAI surveillance system. The lack of an EMR system and the diversity and capacities of EMR solutions will be the main challenges for successful implementation of national HAI surveillance modules.
优化医疗保健相关感染(HAI)的监测和预防对于功能完善的医疗保健系统至关重要。为了建立一个国家先进的 HAI 监测和预防计划,瑞士国家感染控制中心 Swissnoso 开发了一项调查,以探索扩大现有的瑞士 HAI 监测系统的选择。
向所有瑞士急性护理医院发送在线调查。请当地感染预防和控制(IPC)专业人员代表其机构回答问题。这些问题涵盖了 IPC 计划的结构和组织、当前的预防措施、电子病历(EMR)系统的可用性和容量,以及建立和参与拟议的新监测模块的能力和意愿。2020 年 6 月向 156 家急性护理医院和医院网络发出邀请。截至 2020 年 8 月底,共收到 94 家医院和医院网络的回复。在报告急性护理床位数量的 84 家医院中,61 家(73%)为小型医院(<200 张床位),16 家(19%)为中型医院(200-650 张床位),7 家(8%)为大型医院(>650 张床位)。参与医院使用了 29 种不同的 EMR 系统。22 家医院在重症监护病房使用不同的 EMR 系统。有 17 家医院(18%)没有 EMR 系统,但计划很快引入一个,还有 8 家小型医院(9%)既没有 EMR 系统,也没有准备引入一个。26 家(28%)、15 家(16%)和 15 家(16%)医院分别已建立中心静脉导管相关血流感染、导管相关尿路感染和呼吸机相关肺炎的监测。30 家(36%)医院愿意参与新监测系统的试点阶段。其中,15 家表示希望成为试点医院网络的一部分,6 家能够提供计算发病率所需的医院范围的监测分母(如导管天数和患者天数),8 家表示有兴趣同时进行这两项工作。有兴趣参与试点阶段的大型医院报告称,用于监测活动的全职等效人员比没有表示兴趣的医院更多。
医院 IPC 结构和过程指标的基线信息对于国家监测计划的推出和改进监测活动至关重要。拥有电子病历系统和专门用于监测活动的人员资源是开发和实施有效的 HAI 监测系统的关键前提条件。缺乏 EMR 系统以及 EMR 解决方案的多样性和能力将是成功实施国家 HAI 监测模块的主要挑战。