Literature DB >> 31801174

The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and Acceptance Rate.

Amy M Knight1, Joyce Maygers2, Kimberly A Foltz3, Isha S John4, Hsin Chieh Yeh5,6, Daniel J Brotman6.   

Abstract

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. Georg Thieme Verlag KG Stuttgart · New York.

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Mesh:

Year:  2019        PMID: 31801174      PMCID: PMC6892645          DOI: 10.1055/s-0039-3400447

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  46 in total

1.  Clinical decision support systems could be modified to reduce 'alert fatigue' while still minimizing the risk of litigation.

Authors:  Aaron S Kesselheim; Kathrin Cresswell; Shobha Phansalkar; David W Bates; Aziz Sheikh
Journal:  Health Aff (Millwood)       Date:  2011-12       Impact factor: 6.301

Review 2.  A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems.

Authors:  Shobha Phansalkar; Judy Edworthy; Elizabeth Hellier; Diane L Seger; Angela Schedlbauer; Anthony J Avery; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Provider variation in responses to warnings: do the same providers run stop signs repeatedly?

Authors:  Patrick E Beeler; E John Orav; Diane L Seger; Patricia C Dykes; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2015-10-24       Impact factor: 4.497

4.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

5.  Practitioners' views on computerized drug-drug interaction alerts in the VA system.

Authors:  Yu Ko; Jacob Abarca; Daniel C Malone; Donna C Dare; Doug Geraets; Antoun Houranieh; William N Jones; W Paul Nichol; Gregory P Schepers; Michelle Wilhardt
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

6.  Improving Patient Safety through Medical Alert Management: An Automated Decision Tool to Reduce Alert Fatigue.

Authors:  Eva K Lee; Amanda F Mejia; Tal Senior; James Jose
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Computer programs to support clinical decision making.

Authors:  E H Shortliffe
Journal:  JAMA       Date:  1987-07-03       Impact factor: 56.272

Review 8.  Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.

Authors:  Sumant R Ranji; Stephanie Rennke; Robert M Wachter
Journal:  BMJ Qual Saf       Date:  2014-04-12       Impact factor: 7.035

9.  Determining Inappropriate Medication Alerts from "Inaccurate Warning" Overrides in the Intensive Care Unit.

Authors:  Christine A Rehr; Adrian Wong; Diane L Seger; David W Bates
Journal:  Appl Clin Inform       Date:  2018-04-25       Impact factor: 2.342

10.  On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop.

Authors:  Jamie J Coleman; Heleen van der Sijs; Walter E Haefeli; Sarah P Slight; Sarah E McDowell; Hanna M Seidling; Birgit Eiermann; Jos Aarts; Elske Ammenwerth; Ann Slee; Robin E Ferner; Robin E Ferner; Ann Slee
Journal:  BMC Med Inform Decis Mak       Date:  2013-10-01       Impact factor: 2.796

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1.  Effect of Replacing Vendor QTc Alerts with a Custom QTc Risk Alert in Inpatients.

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Journal:  Appl Clin Inform       Date:  2022-01-05       Impact factor: 2.342

Review 2.  Modulators Influencing Medication Alert Acceptance: An Explorative Review.

Authors:  Janina A Bittmann; Walter E Haefeli; Hanna M Seidling
Journal:  Appl Clin Inform       Date:  2022-08-18       Impact factor: 2.762

3.  A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming?

Authors:  Justin B Starren; William M Tierney; Marc S Williams; Paul Tang; Charlene Weir; Ross Koppel; Philip Payne; George Hripcsak; Don E Detmer
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

Review 4.  Polypharmacy Management in the Older Adults: A Scoping Review of Available Interventions.

Authors:  M Kurczewska-Michalak; P Lewek; B Jankowska-Polańska; A Giardini; N Granata; M Maffoni; E Costa; L Midão; P Kardas
Journal:  Front Pharmacol       Date:  2021-11-26       Impact factor: 5.810

5.  Contextualized Drug-Drug Interaction Management Improves Clinical Utility Compared With Basic Drug-Drug Interaction Management in Hospitalized Patients.

Authors:  Arthur T M Wasylewicz; Britt W M van de Burgt; Thomas Manten; Marieke Kerskes; Wilma N Compagner; Erik H M Korsten; Toine C G Egberts; Rene J E Grouls
Journal:  Clin Pharmacol Ther       Date:  2022-06-27       Impact factor: 6.903

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