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Trigger tools to identify adverse drug events in hospitalised children: A systematic review
Rama Arab1, Catherine Cornu2, Roubi Kilo3
1Laboratoire de biométrie et biologie évolutive, CNRS, UMR 5558, université de Claude-Bernard Lyon 1, 8, rue Guillaume-Paradin, Bât B 69008, 69008 Lyon, France.
Insights
This study identified 271 triggers for detecting adverse drug events (ADEs) in children. While some triggers show high positive predictive value (PPV), further research is needed to optimize real-time ADE detection systems for pediatric patients.
Area of Science:
- Pediatric pharmacology
- Patient safety
- Health informatics
Background:
- Adverse drug events (ADEs) are a significant concern in pediatric healthcare.
- Effective detection methods are crucial for improving patient safety in children.
- Current trigger tools for ADE detection in pediatric populations require thorough evaluation.
Purpose of the Study:
- To comprehensively identify and evaluate trigger tools for detecting ADEs in hospitalized children.
- To assess the performance of these triggers using positive predictive value (PPV).
- To explore the utility of triggers in real-time ADE detection systems for pediatric care.
Main Methods:
- A systematic literature search of PubMed was conducted up to December 2021.
- Studies utilizing triggers for ADE identification in pediatric inpatients were included.
- Triggers related exclusively to care procedures were excluded; only ADE-specific triggers were analyzed.
Main Results:
- A total of 271 unique triggers were identified across 30 studies, with 179 linked to drug-induced harms.
- Nineteen triggers (11%) demonstrated a mean PPV between 50% and 100%, including five with 100% PPV.
- Identified triggers varied in their applicability for ADE prevention, verification, and reporting.
Conclusions:
- Individual trigger performance requires further rigorous investigation.
- Computerized triggers and real-time detection systems for ADEs in children represent a critical but emerging area.
- The frequent off-label use of medications in children underscores the need for enhanced ADE detection strategies.
Aims:
To identify all available trigger tools applicable to the pediatric population in hospital settings to detect adverse drug events (ADEs) and to describe their performances by positive predictive value (PPV).
Methods:
PubMed® was searched until December 2021. The reference sections were also consulted for new articles. Studies were selected when they used one or more triggers to identify AEs and used data on pediatric inpatient settings. Studies mentioning triggers related to AEs that were only caused by care procedures were excluded. Only triggers related to ADEs were included. PPVs of triggers were reported. Mean PPVs were calculated for multi-study triggers. The interest of each trigger in a real-time detection system was assessed.
Results:
Thirty studies were included. A total of 271 unique triggers were identified, 179 of which were related to drug-induced harms. Among them, 68 could be used for prevention of ADEs, 80 for verification and 31 for reporting. Nineteen triggers (11%) had a mean PPV between 50% and 100%, including 5 that had a 100% PPV.
Conclusion:
The performances of individual triggers need to be more adequately studied. The detection of ADEs through computerized triggers and/or real-time detection systems remains an emerging field, very much needed in children especially, due to frequent off-label use.
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