TY - JOUR
T1 - The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and Acceptance Rate
AU - Knight, Amy M.
AU - Maygers, Joyce
AU - Foltz, Kimberly A.
AU - John, Isha S.
AU - Yeh, Hsin Chieh
AU - Brotman, Daniel J.
N1 - Funding Information:
This publication was made possible by the Johns Hopkins Institute for Clinical and Translational Research (ICTR) which is funded in part by Grant Number UL1 TR 001079 from the National Center for Advancing Translational Sciences (NCATS) a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the Johns Hopkins ICTR, NCATS or NIH.
Publisher Copyright:
© 2019 Royal Society of Chemistry. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - alert fatigue
KW - clinical decision support
KW - computerized physician order entry
KW - high-alert medications
KW - medication alerts
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U2 - 10.1055/s-0039-3400447
DO - 10.1055/s-0039-3400447
M3 - Article
C2 - 31801174
AN - SCOPUS:85076052785
SN - 1869-0327
VL - 10
SP - 927
EP - 934
JO - Applied clinical informatics
JF - Applied clinical informatics
IS - 5
ER -