Drew Barbara J, Harris Patricia, Zègre-Hemsey Jessica K, Mammone Tina, Schindler Daniel, Salas-Boni Rebeca, Bai Yong, Tinoco Adelita, Ding Quan, Hu Xiao
Department of Physiological Nursing, University of California San Francisco, San Francisco, California, United States of America.
School of Nursing, University of North Carolina, Chapel Hill, North Carolina, United States of America.
PLoS One. 2014 Oct 22;9(10):e110274. doi: 10.1371/journal.pone.0110274. eCollection 2014.
Physiologic monitors are plagued with alarms that create a cacophony of sounds and visual alerts causing "alarm fatigue" which creates an unsafe patient environment because a life-threatening event may be missed in this milieu of sensory overload. Using a state-of-the-art technology acquisition infrastructure, all monitor data including 7 ECG leads, all pressure, SpO(2), and respiration waveforms as well as user settings and alarms were stored on 461 adults treated in intensive care units. Using a well-defined alarm annotation protocol, nurse scientists with 95% inter-rater reliability annotated 12,671 arrhythmia alarms.
A total of 2,558,760 unique alarms occurred in the 31-day study period: arrhythmia, 1,154,201; parameter, 612,927; technical, 791,632. There were 381,560 audible alarms for an audible alarm burden of 187/bed/day. 88.8% of the 12,671 annotated arrhythmia alarms were false positives. Conditions causing excessive alarms included inappropriate alarm settings, persistent atrial fibrillation, and non-actionable events such as PVC's and brief spikes in ST segments. Low amplitude QRS complexes in some, but not all available ECG leads caused undercounting and false arrhythmia alarms. Wide QRS complexes due to bundle branch block or ventricular pacemaker rhythm caused false alarms. 93% of the 168 true ventricular tachycardia alarms were not sustained long enough to warrant treatment.
The excessive number of physiologic monitor alarms is a complex interplay of inappropriate user settings, patient conditions, and algorithm deficiencies. Device solutions should focus on use of all available ECG leads to identify non-artifact leads and leads with adequate QRS amplitude. Devices should provide prompts to aide in more appropriate tailoring of alarm settings to individual patients. Atrial fibrillation alarms should be limited to new onset and termination of the arrhythmia and delays for ST-segment and other parameter alarms should be configurable. Because computer devices are more reliable than humans, an opportunity exists to improve physiologic monitoring and reduce alarm fatigue.
生理监测仪饱受警报之苦,这些警报产生了一连串的声音和视觉提示,导致“警报疲劳”,进而营造出不安全的患者环境,因为在这种感官过载的环境中,可能会错过危及生命的事件。利用最先进的技术采集基础设施,将包括7导联心电图、所有压力、脉搏血氧饱和度(SpO₂)和呼吸波形以及用户设置和警报在内的所有监测数据存储在461名在重症监护病房接受治疗的成年人身上。采用定义明确的警报注释方案,护士科学家以95%的评分者间信度对12,671次心律失常警报进行了注释。
在为期31天的研究期间,共发生了2,558,760次独特的警报:心律失常警报1,154,201次;参数警报612,927次;技术警报791,632次。有381,560次可听警报,可听警报负担为187次/床/天。在12,671次注释的心律失常警报中,88.8%为误报。导致警报过多的情况包括不适当的警报设置、持续性心房颤动以及诸如室性早搏和ST段短暂尖峰等不可采取行动的事件。部分(但并非所有)可用心电图导联中的低振幅QRS波群导致计数不足和错误的心律失常警报。束支传导阻滞或心室起搏器节律导致的宽QRS波群引发了错误警报。168次真正的室性心动过速警报中,93%持续时间不足,无需治疗。
生理监测仪警报过多是不适当的用户设置、患者状况和算法缺陷之间复杂的相互作用。设备解决方案应侧重于利用所有可用的心电图导联来识别非伪差导联和具有足够QRS波幅的导联。设备应提供提示,以帮助更适当地根据个体患者调整警报设置。心房颤动警报应仅限于心律失常的新发和终止,ST段和其他参数警报的延迟应可配置。由于计算机设备比人类更可靠,因此存在改善生理监测并减少警报疲劳的机会。