Association between exposure to nonactionable physiologic monitor alarms and response time in a children's hospital

作者：Bonafide Christopher P^*; Lin Richard; Zander Miriam; Graham Christian Sarkis; Paine Christine W; Rock Whitney; Rich Andrew; Roberts Kathryn E; Fortino Margaret; Nadkarni Vinay M; Localio A Russell; Keren Ron

来源：Journal of Hospital Medicine, 2015, 10(6): 345-351.

DOI：10.1002/jhm.2331

BACKGROUNDAlarm fatigue is reported to be a major threat to patient safety, yet little empirical data support its existence in the hospital.
OBJECTIVETo determine if nurses exposed to high rates of nonactionable physiologic monitor alarms respond more slowly to subsequent alarms that could represent life-threatening conditions.
DESIGNObservational study using video.
SETTINGFreestanding children's hospital.
PATIENTSPediatric intensive care unit (PICU) patients requiring inotropic support and/or mechanical ventilation, and medical ward patients.
INTERVENTIONNone.
MEASUREMENTSActionable alarms were defined as correctly identifying physiologic status and warranting clinical intervention or consultation. We measured response time to alarms occurring while there were no clinicians in the patient's room. We evaluated the association between the number of nonactionable alarms the patient had in the preceding 120 minutes (categorized as 0-29, 30-79, or 80+ alarms) and response time to subsequent alarms in the same patient using a log-rank test that accounts for within-nurse clustering.
RESULTSWe observed 36 nurses for 210 hours with 5070 alarms; 87.1% of PICU and 99.0% of ward clinical alarms were nonactionable. Kaplan-Meier plots showed incremental increases in response time as the number of nonactionable alarms in the preceding 120 minutes increased (log-rank test stratified by nurse P<0.001 in PICU, P=0.009 in the ward).
CONCLUSIONSMost alarms were nonactionable, and response time increased as nonactionable alarm exposure increased. Alarm fatigue could explain these findings. Future studies should evaluate the simultaneous influence of workload and other factors that can impact response time. Journal of Hospital Medicine 2015;10:345-351.

• 出版日期2015-6