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The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and
Amy M Knight1, Joyce Maygers2, Kimberly A Foltz3
1Division of Hospital Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Objective:
This study aimed to determine the effects of reducing the number of drug-drug interaction (DDI) alerts in an order entry system.
Methods:
Retrospective pre-post analysis at an urban medical center of the rates of medication alerts and alert acceptance during a 5-month period before and 5-month period after the threshold for firing DDI alerts was changed from "intermediate" to "severe." To ensure that we could determine varying response to each alert type, we took an in-depth look at orders generating single alerts.
Results:
Before the intervention, 241,915 medication orders were placed, of which 25.6% generated one or more medication alerts; 5.3% of the alerts were accepted. During the postintervention period, 245,757 medication orders were placed of which 16.0% generated one or more medication alerts, a 37.5% relative decrease in alert rate (95% confidence interval [CI]: -38.4 to -36.8%), but only a 9.6% absolute decrease (95% CI: -9.4 to -9.9%). 7.4% of orders generating alerts were accepted postintervention, a 39.6% relative increase in acceptance rate (95% CI: 33.2-47.2%), but only a 2.1% absolute increase (95% CI: 1.8-2.4%). When only orders generating a single medication alert were considered, there was a 69.1% relative decrease in the number of orders generating DDI alerts, and an 85.7% relative increase in the acceptance rate (95% CI: 58.6-126.2%), though only a 1.8% absolute increase (95% CI: 1.3-2.3%).
Conclusion:
Eliminating intermediate severity DDI alerts resulted in a statistically significant decrease in alert burden and increase in the rate of medication alert acceptance, but alert acceptance remained low overall.
Insights
Reducing drug-drug interaction (DDI) alerts in electronic health systems significantly decreased alert burden and improved alert acceptance. However, overall alert acceptance rates remain low, indicating a need for further optimization.
Area of Science:
- Health Informatics
- Clinical Pharmacy
- Patient Safety
Background:
- Electronic health systems generate numerous drug-drug interaction (DDI) alerts, potentially leading to alert fatigue.
- High alert rates can decrease clinician trust and acceptance of critical warnings.
Purpose of the Study:
- To evaluate the impact of reducing DDI alert frequency on alert burden and acceptance rates.
- To assess changes in medication alert acceptance after modifying DDI alert thresholds.
Main Methods:
- A retrospective pre-post analysis was conducted at an urban medical center.
- The study compared alert rates and acceptance over two 5-month periods before and after changing the DDI alert threshold from 'intermediate' to 'severe'.
- Analysis focused on orders generating single alerts to discern response variations.
Main Results:
- The intervention resulted in a 37.5% relative decrease in overall alert rates and a 39.6% relative increase in alert acceptance.
- For single alerts, there was a 69.1% relative decrease in alert generation and an 85.7% relative increase in acceptance.
- Despite relative improvements, absolute increases in alert acceptance were modest (2.1% overall, 1.8% for single alerts).
Conclusions:
- Modifying DDI alert thresholds to exclude intermediate severity alerts significantly reduces alert burden.
- This change also increases the rate of medication alert acceptance.
- Alert acceptance rates remain low overall, suggesting that further strategies are needed to optimize DDI alert systems.
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