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Cardiopulmonary monitors and clinically significant events in critically ill children
Linda B Talley1, Jeffrey Hooper, Brian Jacobs
1Children's National Medical Center, Washington, DC, USA. ltalley@cnmc.org
Insights
Cardiopulmonary monitors (CPMs) generate frequent false alarms, potentially desensitizing clinicians to critical events. This study aimed to improve CPM alarm specificity in critically ill children, enhancing patient safety.
Area of Science:
- Biomedical Engineering
- Critical Care Medicine
- Clinical Informatics
Background:
- Cardiopulmonary monitors (CPMs) exhibit high false alarm rates (85%-99%).
- Clinically insignificant alarms pose safety risks by desensitizing healthcare professionals to true alarms.
Purpose of the Study:
- To assess clinical conditions linked to true and false-positive CPM alarms.
- To define optimal alarm parameters for reducing false alarms in critically ill children.
- To enhance overall CPM performance by improving specificity for clinically significant events (CSEs).
Main Methods:
- Defined and validated clinically significant events (CSEs) prior to data collection.
- Collected and analyzed CPM and CSE data from 98 critically ill children over seven months in 2009.
- Aimed to estimate sensitivity, specificity, and predictive values of CPM alarms for CSEs.
Main Results:
- Recorded 2,245 high-priority alarms with 68 CSEs over 45 observational days.
- Identified challenges in capturing and analyzing all CPM alarm data levels.
- Preliminary analysis indicated poor CPM alarm specificity for CSEs.
Conclusions:
- The study highlighted the need for careful CPM data analysis and highlighted limitations in current reporting.
- Preliminary findings suggest poor specificity of CPM alarms for clinically significant events.
- The investigation informed future study designs to improve the positive predictive value of CPM alarms and nursing education.
Abstract:
Cardiopulmonary monitors (CPMs) generate false alarm rates ranging from 85%-99% with few of these alarms actually representing serious clinical events. The overabundance of clinically insignificant alarms in hospitals desensitizes the clinician to true-positive alarms and poses significant safety issues. In this IRB-approved externally funded study, we sought to assess the clinical conditions associated with true and false-positive CPM alarms and attempted to define optimal alarm parameters that would reduce false-positive alarm rates (as they relate to clinically significant events) and thus improve overall CPM performance in critically ill children. Prior to the study, clinically significant events (CSEs) were defined and validated. Over a seven-month period in 2009, critically ill children underwent evaluation of CSEs while connected to a CPM. Comparative CPM and CSE data were analyzed with an aim to estimate sensitivity, specificity, and positive and negative predictive values for CSEs. CPM and CSE data were evaluated in 98 critically ill children. Overall, 2,245 high priority alarms were recorded with 68 CSEs noted in 45 observational days. During the course of the study, the team developed a firm understanding of CPM functionality, including the pitfalls associated with aggregation and analysis of CPM alarm data. The inability to capture all levels of CPM alarms represented a significant study challenge. Selective CPM data can be easily queried with standard reporting, however the default settings with this reporting exclude critical information necessary in compiling a coherent study denominator database. Although the association between CPM alarms and CSEs could not be comprehensively evaluated, preliminary analysis reflected poor CPM alarm specificity. This study provided the necessary considerations for the proper design of a future study that improves the positive predictive value of CPM alarms. In addition, this investigation has resulted in improved awareness of CPM alarm parameter settings and associated false-positive alarms. This information has been incorporated into nursing educational programs.
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