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Computerized surveillance for adverse drug events in a pediatric hospital
Peter M Kilbridge1, Laura A Noirot, Richard M Reichley
1St. Louis Children's Hospital, One Children's Place, St Louis, MO 63110, USA. kilbridge_p@kids.wustl.edu
Insights
An automated system effectively detected adverse drug events (ADEs) in hospitalized children, identifying 160 true ADEs. This surveillance method offers a valuable approach to improving pediatric patient safety and medication management.
Area of Science:
- Pediatric Pharmacology
- Health Informatics
- Patient Safety
Background:
- Limited data exist on adverse drug event (ADE) rates in pediatric populations.
- Accurate ADE detection is crucial for improving medication safety in children.
Purpose of the Study:
- To implement and evaluate an automated surveillance system for detecting adverse drug events (ADEs) in pediatric patients.
- To assess the effectiveness and yield of an automated ADE detection system in a large pediatric hospital.
Main Methods:
- An automated surveillance system was developed to screen hospital admissions for potential ADEs.
- Potential ADEs were reviewed by medication safety pharmacists and a physician for causality and severity.
- The system was evaluated over a 6-month period involving 6,889 pediatric patients.
Main Results:
- The system generated 1226 alerts, identifying 160 true ADEs.
- The rate of ADEs was 2.3 per 100 admissions or 4 per 1,000 patient-days.
- The positive predictive value of the automated surveillance system was 13%.
Conclusions:
- Automated surveillance is an effective method for detecting adverse drug events in hospitalized children.
- This system can aid in identifying at-risk medications, including diuretics, antibiotics, and anticonvulsants.
- Implementation of such systems can enhance pediatric patient safety and medication monitoring.
Abstract:
There are limited data on adverse drug event rates in pediatrics. The authors describe the implementation and evaluation of an automated surveillance system modified to detect adverse drug events (ADEs) in pediatric patients. The authors constructed an automated surveillance system to screen admissions to a large pediatric hospital. Potential ADEs identified by the system were reviewed by medication safety pharmacists and a physician and scored for causality and severity. Over the 6 month study period, 6,889 study children were admitted to the hospital for a total of 40,250 patient-days. The ADE surveillance system generated 1226 alerts, which yielded 160 true ADEs. This represents a rate of 2.3 ADEs per 100 admissions or 4 per 1,000 patient-days. Medications most frequently implicated were diuretics, antibiotics, immunosuppressants, narcotics, and anticonvulsants. The composite positive predictive value of the ADE surveillance system was 13%. Automated surveillance can be an effective method for detecting ADEs in hospitalized children.
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