Literature DB >> 25298818

Drug interaction alert override rates in the Meaningful Use era: no evidence of progress.

A D Bryant1, G S Fletcher2, T H Payne2.   

Abstract

BACKGROUND: Interruptive drug interaction alerts may reduce adverse drug events and are required for Stage I Meaningful Use attestation. For the last decade override rates have been very high. Despite their widespread use in commercial EHR systems, previously described interventions to improve alert frequency and acceptance have not been well studied.
OBJECTIVES: (1) To measure override rates of inpatient medication alerts within a commercial clinical decision support system, and assess the impact of local customization efforts. (2) To compare override rates between drug-drug interaction and drug-allergy interaction alerts, between attending and resident physicians, and between public and academic hospitals. (3) To measure the correlation between physicians' individual alert quantities and override rates as an indicator of potential alert fatigue.
METHODS: We retrospectively analyzed physician responses to drug-drug and drug-allergy interaction alerts, as generated by a common decision support product in a large teaching hospital system.
RESULTS: (1) Over four days, 461 different physicians entered 18,354 medication orders, resulting in 2,455 visible alerts; 2,280 alerts (93%) were overridden. (2) The drug-drug alert override rate was 95.1%, statistically higher than the rate for drug-allergy alerts (90.9%) (p < 0.001). There was no significant difference in override rates between attendings and residents, or between hospitals. (3) Physicians saw a mean of 1.3 alerts per day, and the number of alerts per physician was not significantly correlated with override rate (R2 = 0.03, p = 0.41).
CONCLUSIONS: Despite intensive efforts to improve a commercial drug interaction alert system and to reduce alerting, override rates remain as high as reported over a decade ago. Alert fatigue does not seem to contribute. The results suggest the need to fundamentally question the premises of drug interaction alert systems.

Entities:  

Keywords:  Medical order entry systems; clinical decision support systems; drug interactions; medication errors/prevention and control; physician’s practice patterns

Mesh:

Year:  2014        PMID: 25298818      PMCID: PMC4187095          DOI: 10.4338/ACI-2013-12-RA-0103

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


  28 in total

Review 1.  Coded entry versus free-text and alert overrides: what you get depends on how you ask.

Authors:  Hanna M Seidling; Marilyn D Paterno; Walter E Haefeli; David W Bates
Journal:  Int J Med Inform       Date:  2010-09-24       Impact factor: 4.046

2.  Improving acceptance of computerized prescribing alerts in ambulatory care.

Authors:  Nidhi R Shah; Andrew C Seger; Diane L Seger; Julie M Fiskio; Gilad J Kuperman; Barry Blumenfeld; Elaine G Recklet; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

3.  Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.

Authors:  Shobha Phansalkar; Heleen van der Sijs; Alisha D Tucker; Amrita A Desai; Douglas S Bell; Jonathan M Teich; Blackford Middleton; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2012-09-25       Impact factor: 4.497

4.  Turning off frequently overridden drug alerts: limited opportunities for doing it safely.

Authors:  Heleen van der Sijs; Jos Aarts; Teun van Gelder; Marc Berg; Arnold Vulto
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

5.  Customizing clinical decision support to prevent excessive drug-drug interaction alerts.

Authors:  John R Horn; Philip D Hansten; Jacqueline D Osborn; Pamela Wareham; Shabir Somani
Journal:  Am J Health Syst Pharm       Date:  2011-04-15       Impact factor: 2.637

6.  Drug-drug interactions among elderly patients hospitalized for drug toxicity.

Authors:  David N Juurlink; Muhammad Mamdani; Alexander Kopp; Andreas Laupacis; Donald A Redelmeier
Journal:  JAMA       Date:  2003-04-02       Impact factor: 56.272

7.  Tiering drug-drug interaction alerts by severity increases compliance rates.

Authors:  Marilyn D Paterno; Saverio M Maviglia; Paul N Gorman; Diane L Seger; Eileen Yoshida; Andrew C Seger; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

8.  'Too much, too late': mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing.

Authors:  James Hayward; Fionagh Thomson; Heather Milne; Susan Buckingham; Aziz Sheikh; Bernard Fernando; Kathrin Cresswell; Robin Williams; Hilary Pinnock
Journal:  J Am Med Inform Assoc       Date:  2013-03-07       Impact factor: 4.497

9.  Evaluation of medication dose alerts in pediatric inpatients.

Authors:  Corinna Scharnweber; Brandyn D Lau; Nicole Mollenkopf; David R Thiemann; Michael A Veltri; Christoph U Lehmann
Journal:  Int J Med Inform       Date:  2013-04-30       Impact factor: 4.046

10.  Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system.

Authors:  Tyken C Hsieh; Gilad J Kuperman; Tonushree Jaggi; Patricia Hojnowski-Diaz; Julie Fiskio; Deborah H Williams; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2004-08-06       Impact factor: 4.497

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  49 in total

1.  Alert dwell time: introduction of a measure to evaluate interruptive clinical decision support alerts.

Authors:  Robert B McDaniel; Jonathan D Burlison; Donald K Baker; Murad Hasan; Jennifer Robertson; Christine Hartford; Scott C Howard; Andras Sablauer; James M Hoffman
Journal:  J Am Med Inform Assoc       Date:  2015-10-24       Impact factor: 4.497

2.  Potential drug-related problems detected by electronic expert support system: physicians' views on clinical relevance.

Authors:  Tora Hammar; Bodil Lidström; Göran Petersson; Yngve Gustafson; Birgit Eiermann
Journal:  Int J Clin Pharm       Date:  2015-06-06

3.  Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting.

Authors:  G Segal; A Segev; A Brom; Y Lifshitz; Y Wasserstrum; E Zimlichman
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

4.  An Exploration of the Terminology of Clinical Cognition and Reasoning.

Authors:  James J Cimino; Ziran Li; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.

Authors:  Mustafa I Hussain; Tera L Reynolds; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

6.  Drug Interactions in Space: a Cause for Concern?

Authors:  Erez Berman; Sara Eyal
Journal:  Pharm Res       Date:  2019-05-31       Impact factor: 4.200

7.  Generating Evidence of Clinical Outcomes of Drug-Drug Interactions.

Authors:  Katsiaryna Bykov; Joshua J Gagne
Journal:  Drug Saf       Date:  2017-02       Impact factor: 5.606

8.  Evaluation of Clinical Relevance of Drug-Drug Interaction Alerts Prior to Implementation.

Authors:  S M M Meslin; W Y Zheng; R O Day; E M Y Tay; M T Baysari
Journal:  Appl Clin Inform       Date:  2018-11-28       Impact factor: 2.342

Review 9.  Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.

Authors:  B Middleton; D F Sittig; A Wright
Journal:  Yearb Med Inform       Date:  2016-08-02

10.  Updating the Evidence of the Interaction Between Clopidogrel and CYP2C19-Inhibiting Selective Serotonin Reuptake Inhibitors: A Cohort Study and Meta-Analysis.

Authors:  Katsiaryna Bykov; Sebastian Schneeweiss; Robert J Glynn; Murray A Mittleman; David W Bates; Joshua J Gagne
Journal:  Drug Saf       Date:  2017-10       Impact factor: 5.606

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