Insights into the Problem of Alarm Fatigue with Physiologic Monitor Devices: A Comprehensive Observational Study of Consecutive Intensive Care Unit Patients
Abstract:PurposePhysiologic 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, SpO2, and respiration waveforms as well as user settings and alarms were stored on 461 adults treated in intensive care units. Using a well-de… Show more
“…Four of the studies were conducted in pediatric populations 5,[20][21][22] and 7 were conducted in adult populations. [23][24][25][26][27][28][29] One study included both children and adults. 30 Additionally, in 1 study, 5 alarms in both a pediatric general care area and a pediatric ICU were annotated; for this review, we used only pediatric ICU data.…”
Background
Alarm fatigue threatens patient safety by delaying or reducing clinician response to alarms, which can lead to missed critical events. Interventions to reduce alarms without jeopardizing patient safety target either inaccurate or clinically irrelevant alarms, so assessment of alarm accuracy and clinical relevance may enhance the rigor of alarm intervention studies done in clinical units.
Objectives
To (1) examine approaches used to measure accuracy and/or clinical relevance of physiological monitor alarms in intensive care units and (2) compare the proportions of inaccurate and clinically irrelevant alarms.
Methods
An integrative review was used to systematically search the literature and synthesize resulting articles.
Results
Twelve studies explicitly measuring alarm accuracy and/or clinical relevance on a clinical unit were identified. In the most rigorous studies, alarms were annotated retrospectively by obtaining alarm data and parameter waveforms rather than being annotated in real time. More than half of arrhythmia alarms in recent studies were inaccurate. However, contextual data were needed to determine alarms’ clinical relevance. Proportions of clinically irrelevant alarms were high, but definitions of clinically irrelevant alarms often included inaccurate alarms.
Conclusions
Future studies testing interventions on clinical units should include alarm accuracy and/or clinical relevance as outcome measures. Arrhythmia alarm accuracy should improve with advances in technology. Clinical interventions should focus on reducing clinically irrelevant alarms, with careful consideration of how clinical relevance is defined and measured.
“…Four of the studies were conducted in pediatric populations 5,[20][21][22] and 7 were conducted in adult populations. [23][24][25][26][27][28][29] One study included both children and adults. 30 Additionally, in 1 study, 5 alarms in both a pediatric general care area and a pediatric ICU were annotated; for this review, we used only pediatric ICU data.…”
Background
Alarm fatigue threatens patient safety by delaying or reducing clinician response to alarms, which can lead to missed critical events. Interventions to reduce alarms without jeopardizing patient safety target either inaccurate or clinically irrelevant alarms, so assessment of alarm accuracy and clinical relevance may enhance the rigor of alarm intervention studies done in clinical units.
Objectives
To (1) examine approaches used to measure accuracy and/or clinical relevance of physiological monitor alarms in intensive care units and (2) compare the proportions of inaccurate and clinically irrelevant alarms.
Methods
An integrative review was used to systematically search the literature and synthesize resulting articles.
Results
Twelve studies explicitly measuring alarm accuracy and/or clinical relevance on a clinical unit were identified. In the most rigorous studies, alarms were annotated retrospectively by obtaining alarm data and parameter waveforms rather than being annotated in real time. More than half of arrhythmia alarms in recent studies were inaccurate. However, contextual data were needed to determine alarms’ clinical relevance. Proportions of clinically irrelevant alarms were high, but definitions of clinically irrelevant alarms often included inaccurate alarms.
Conclusions
Future studies testing interventions on clinical units should include alarm accuracy and/or clinical relevance as outcome measures. Arrhythmia alarm accuracy should improve with advances in technology. Clinical interventions should focus on reducing clinically irrelevant alarms, with careful consideration of how clinical relevance is defined and measured.
“…A study published in October 2014 by Drew et al 5 strengthens the level of evidence available to inform tailoring of alarms. In this observational study, all alarms and alarm settings from an electrocardiography (ECG) system and additional monitors (eg, arterial blood pressure, pulse oximeter) were collected from 461 patients in 31 days.…”
During the past year, studies were published that will lead to practice change, address challenges at the bedside, and introduce new care strategies. This article summarizes some of this important work and considers it in the context of previous research and practice. Examples of research-based practice changes include the performance and assessment of septic shock resuscitation, and the integration of tourniquets and massive transfusions in civilian trauma. Care challenges addressed include ethical considerations in light of the Ebola epidemic, infection prevention associated with chlorhexidine bathing, bedside alarm management, evidence to enhance moral courage, and interventions to mitigate thirst in critically ill patients. Research that portends future care includes a discussion of fecal microbiota transplant for patients with refractory infection with Clostridium difficile.
“…As such, many false positive alarms in a clinical setting can be made attributable to low R-wave amplitude and in turn low signal to noise ratio [15]. In this study we have focused on determining the optimal placement of ECG electrodes for the recording of maximum R-wave amplitude.…”
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