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Inpatient-Derived Vital Sign Parameters Implementation: An Initiative to Decrease Alarm Burden
Alaina K Kipps1, Sarah F Poole2, Cheryl Slaney3
1Department of Pediatrics, Stanford Children's Health, Palo Alto, California; akipps@stanford.edu.
Insights
Data-driven vital sign parameters significantly reduced bedside monitor alarms by 21% in a pediatric unit. This quality improvement initiative improved patient safety without missing critical events.
Area of Science:
- Pediatric critical care
- Clinical informatics
- Quality improvement science
Background:
- Bedside monitor alarms contribute to alarm fatigue.
- Current vital sign parameters may not be optimized for specific patient populations.
- Reducing alarm burden is crucial for patient safety and clinical workflow.
Purpose of the Study:
- To implement data-driven heart rate (HR) and respiratory rate (RR) parameters.
- To reduce the overall burden of bedside monitor alarms.
- To assess the safety and impact of new alarm parameters on patient outcomes.
Main Methods:
- A single-center quality-improvement initiative using historical controls.
- Implementation of age-based, inpatient-derived HR and RR parameters on a pediatric acute care ward.
- Primary outcome: reduction in alarms per monitored bed day (MBD).
Main Results:
- Median alarms per MBD decreased by 21% (52 to 41, P < .001).
- Significant reductions observed in HR alarms (17%) and RR alarms (53%).
- No increase in missed rapid response team activations or critical events.
Conclusions:
- Data-driven HR and RR parameters effectively decreased total alarm frequency by 21%.
- The implemented changes were safe and did not compromise patient monitoring.
- Optimized vital sign parameters can reduce alarm burden in pediatric acute care settings.
Objectives:
To implement data-driven vital sign parameters to reduce bedside monitor alarm burden.
Methods:
Single-center, quality-improvement initiative with historical controls assessing the impact of age-based, inpatient-derived heart rate (HR) and respiratory rate (RR) parameters on a 20-bed acute care ward that serves primarily pediatric cardiology patients. The primary outcome was the number of alarms per monitored bed day (MBD) with the aim to decrease the alarms per MBD. Balancing measures included the frequency of missed rapid response team activations, acute respiratory code events, and cardiorespiratory arrest events in the unit with the new vital sign parameters.
Results:
The median number of all cardiorespiratory monitor alarms per MBD decreased by 21% from 52 (baseline period) to 41 (postintervention period) (P < .001). This included a 17% decrease in the median HR alarms (9-7.5 per MBD) and a 53% drop in RR alarms (16.8-8.0 per MBD). There were 57 rapid response team activations, 8 acute respiratory code events, and no cardiorespiratory arrest events after the implementation of the new parameters. An evaluation of HRs and RRs recorded at the time of the event revealed that all patients with HRs and/or RRs out of range per former default parameters would also be out of range with the new parameters.
Conclusions:
Implementation of data-driven HR and iteratively derived RR parameters safely decreased the total alarm frequency by 21% in a pediatric acute care unit.
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