Adverse drug event trigger tool: a practical methodology for measuring medication related harm

Area of Science:

• Pharmacovigilance
• Patient Safety
• Health Informatics

Background:

• Adverse drug events (ADEs) are a leading cause of healthcare-related injuries.
• Traditional methods for detecting ADEs (chart audits, voluntary reporting) are often ineffective and costly.
• Existing computerized ADE detection methods are effective but require expensive, customized software.

Purpose of the Study:

• To describe a novel, low-cost "trigger tool" for detecting ADEs.
• To evaluate the effectiveness of this adapted technique in identifying medication errors and adverse clinical events.

Main Methods:

• Utilized a modified automated technique, termed the "trigger tool", for ADE detection.
• Focused on a "low tech" approach, adapting existing automated methods.
• Compared the trigger tool's performance against traditional reporting methodologies.

Main Results:

• The trigger tool significantly increases the rate of ADE detection.
• Detection rates were approximately 50-fold higher compared to traditional reporting methods.
• This method offers a more cost-effective approach to identifying drug-related adverse events.

Conclusions:

• The trigger tool is a highly effective and efficient method for detecting ADEs.
• This low-cost, adaptable technique can substantially improve patient safety by identifying medication errors.
• Healthcare systems can benefit from implementing this tool to enhance pharmacovigilance.