Alarm Management in Provisional COVID-19 Intensive Care Units: Retrospective Analysis and Recommendations for Future Pandemics

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-09-09 DOI:10.2196/58347
Maximilian Markus Wunderlich, Nicolas Frey, Sandro Amende-Wolf, Carl Hinrichs, Felix Balzer, Akira-Sebastian Poncette
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Abstract

Background: In response to the high patient admission rates during the COVID-19 pandemic, provisional intensive care units (ICUs) were set up, equipped with temporary monitoring and alarm systems. We sought to find out whether the provisional ICU setting led to a higher alarm burden and more staff with alarm fatigue. Objective: We aimed to compare alarm situations between provisional COVID-19 ICUs and non–COVID-19 ICUs during the second COVID-19 wave in Berlin, Germany. The study focused on measuring alarms per bed per day, identifying medical devices with higher alarm frequencies in COVID-19 settings, evaluating the median duration of alarms in both types of ICUs, and assessing the level of alarm fatigue experienced by health care staff. Methods: Our approach involved a comparative analysis of alarm data from 2 provisional COVID-19 ICUs and 2 standard non–COVID-19 ICUs. Through interviews with medical experts, we formulated hypotheses about potential differences in alarm load, alarm duration, alarm types, and staff alarm fatigue between the 2 ICU types. We analyzed alarm log data from the patient monitoring systems of all 4 ICUs to inferentially assess the differences. In addition, we assessed staff alarm fatigue with a questionnaire, aiming to comprehensively understand the impact of the alarm situation on health care personnel. Results: COVID-19 ICUs had significantly more alarms per bed per day than non–COVID-19 ICUs (P<.001), and the majority of the staff lacked experience with the alarm system. The overall median alarm duration was similar in both ICU types. We found no COVID-19–specific alarm patterns. The alarm fatigue questionnaire results suggest that staff in both types of ICUs experienced alarm fatigue. However, physicians and nurses who were working in COVID-19 ICUs reported a significantly higher level of alarm fatigue (P=.04). Conclusions: Staff in COVID-19 ICUs were exposed to a higher alarm load, and the majority lacked experience with alarm management and the alarm system. We recommend training and educating ICU staff in alarm management, emphasizing the importance of alarm management training as part of the preparations for future pandemics. However, the limitations of our study design and the specific pandemic conditions warrant further studies to confirm these findings and to explore effective alarm management strategies in different ICU settings.
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临时 COVID-19 重症监护病房的警报管理:回顾性分析和对未来大流行的建议
背景:在 COVID-19 大流行期间,为应对高入院率,建立了临时重症监护病房(ICU),并配备了临时监控和警报系统。我们试图了解临时重症监护室的设置是否会导致更高的警报负担和更多员工出现警报疲劳。目标:我们旨在比较德国柏林第二轮 COVID-19 期间临时 COVID-19 ICU 和非 COVID-19 ICU 的警报情况。研究的重点是测量每天每张病床的警报次数,识别 COVID-19 环境中警报频率较高的医疗设备,评估两种类型重症监护病房警报持续时间的中位数,以及评估医护人员的警报疲劳程度。方法:我们采用的方法包括对两家临时 COVID-19 ICU 和两家标准非 COVID-19 ICU 的警报数据进行比较分析。通过与医学专家的访谈,我们就两类重症监护病房在警报负荷、警报持续时间、警报类型和医护人员警报疲劳方面的潜在差异提出了假设。我们分析了所有 4 个重症监护室病人监护系统的警报日志数据,以推断评估这些差异。此外,我们还通过问卷调查评估了医护人员的警报疲劳度,旨在全面了解警报情况对医护人员的影响。结果COVID-19重症监护病房每天每张病床的警报次数明显多于非COVID-19重症监护病房(P<.001),而且大多数医护人员缺乏使用警报系统的经验。两类重症监护室的总体警报持续时间中位数相似。我们没有发现 COVID-19 特有的报警模式。警报疲劳问卷调查结果表明,两类重症监护室的工作人员都出现了警报疲劳。然而,在 COVID-19 ICU 工作的医生和护士报告的警报疲劳程度明显更高(P=.04)。结论:COVID-19 ICU 的工作人员面临的警报负荷较高,而且大多数人缺乏警报管理和警报系统方面的经验。我们建议对 ICU 工作人员进行警报管理方面的培训和教育,并强调警报管理培训作为未来流行病准备工作一部分的重要性。然而,由于我们的研究设计和特定大流行条件的限制,需要进一步研究来证实这些发现,并探索不同 ICU 环境下有效的警报管理策略。
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来源期刊
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
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