Literature DB >> 18436915

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

Heleen van der Sijs1, Jos Aarts, Teun van Gelder, Marc Berg, Arnold Vulto.   

Abstract

OBJECTIVES: This study sought to identify opportunities to safely turn off frequently overridden drug-drug interaction alerts (DDIs) in computerized physician order entry (CPOE).
DESIGN: Quantitative retrospective analysis of drug safety alerts overridden during 1 month and qualitative interviews with 24 respondents (18 physicians and 6 pharmacists) about turning off frequently overridden DDI alerts, based on the Dutch drug database, in a hospital setting. Screen shots and complete texts of frequently overridden DDIs were presented to physicians of internal medicine, cardiology, and surgery and to hospital pharmacists who were asked whether these could be turned off hospital-wide without impairing patient safety, and the reasons for their recommendations.
RESULTS: Data on the frequency of alerts overridden in 1 month identified 3,089 overrides, of which 1,963 were DDIs. The category DDIs showed 86 different alerts, of which 24 frequently overridden alerts, accounting for 72% of all DDI overrides, were selected for further evaluation. The 24 respondents together made 576 assessments. Upon investigation, differences in the reasons for turning off alerts were found across medical specialties and among respondents within a specialty. Frequently mentioned reasons for turning off were "alert well known," "alert not serious," or "alert not needing (additional) action," or that the effects of the combination were monitored or intended. For none of the alerts did all respondents agree that it could be safely turned off hospital-wide. The highest agreement was 13 of 24 respondents (54%). A positive correlation was found between the number of alerts overridden and the number of clinicians recommending to turn them off.
CONCLUSION: Although the Dutch drug database is already a selected reduction from all DDIs mentioned in literature, the majority of respondents wanted to turn off DDI alerts to reduce alert overload. Turning off DDI alerts hospital-wide appeared to be problematic because of differences among physicians regarding drug-related knowledge and of differences across the hospital in routine drug monitoring practices. Furthermore, several reasons for suppression of alerts could be questioned from a safety perspective. Further research should investigate when each of the following might help: changes in alert texts; new differential alert triggers based on clinician knowledge or specialty; and nonintrusive alert presentation so long as serum levels and patient parameters are measured and stay within limits.

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Year:  2008        PMID: 18436915      PMCID: PMC2442265          DOI: 10.1197/jamia.M2311

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  24 in total

1.  System changes to improve patient safety.

Authors:  T W Nolan
Journal:  BMJ       Date:  2000-03-18

2.  Human error: models and management.

Authors:  J Reason
Journal:  BMJ       Date:  2000-03-18

3.  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

4.  The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.

Authors:  Randolph A Miller; Lemuel R Waitman; Sutin Chen; S Trent Rosenbloom
Journal:  J Biomed Inform       Date:  2005-10-21       Impact factor: 6.317

5.  Implementing a commercial rule base as a medication order safety net.

Authors:  Richard M Reichley; Terry L Seaton; Ervina Resetar; Scott T Micek; Karen L Scott; Victoria J Fraser; W Claiborne Dunagan; Thomas C Bailey
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

6.  Clinical decision support and electronic prescribing systems: a time for responsible thought and action.

Authors:  Randolph A Miller; Reed M Gardner; Kevin B Johnson; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

7.  Overriding of drug safety alerts in computerized physician order entry.

Authors:  Heleen van der Sijs; Jos Aarts; Arnold Vulto; Marc Berg
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

8.  Using commercial knowledge bases for clinical decision support: opportunities, hurdles, and recommendations.

Authors:  Gilad J Kuperman; Richard M Reichley; Thomas C Bailey
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

9.  Clinical risk management in Dutch community pharmacies: the case of drug-drug interactions.

Authors:  Henk Buurma; Peter A G M De Smet; Antoine C G Egberts
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

Review 10.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

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  67 in total

1.  Piloting a renal drug alert system for prescribing to residents in long-term care.

Authors:  Courtney C Kennedy; Glenda Campbell; Amit X Garg; Lisa Dolovich; Jackie B Stroud; Ruth E McCallum; Alexandra Papaioannou
Journal:  J Am Geriatr Soc       Date:  2011-09       Impact factor: 5.562

2.  The effect of Computerized Physician Order Entry and decision support system on medication errors in the neonatal ward: experiences from an Iranian teaching hospital.

Authors:  Alireza Kazemi; Johan Ellenius; Faramarz Pourasghar; Shahram Tofighi; Aref Salehi; Ali Amanati; Uno G H Fors
Journal:  J Med Syst       Date:  2009-07-17       Impact factor: 4.460

3.  A Pharmacy Blueprint for Electronic Medical Record Implementation Success.

Authors:  David S Bach; Kenneth R Risko; Frank K Zaran; Margo S Farber; Gregory J Polk
Journal:  Hosp Pharm       Date:  2015-06

4.  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

5.  Medical alert management: a real-time adaptive decision support tool to reduce alert fatigue.

Authors:  Eva K Lee; Tsung-Lin Wu; Tal Senior; James Jose
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

6.  Evaluating the accuracy of electronic pediatric drug dosing rules.

Authors:  Eric S Kirkendall; S Andrew Spooner; Judith R Logan
Journal:  J Am Med Inform Assoc       Date:  2013-06-28       Impact factor: 4.497

7.  Medication safety and knowledge-based functions: a stepwise approach against information overload.

Authors:  Andrius Patapovas; Harald Dormann; Brita Sedlmayr; Melanie Kirchner; Anja Sonst; Fabian Müller; Barbara Pfistermeister; Bettina Plank-Kiegele; Renate Vogler; Renke Maas; Manfred Criegee-Rieck; Hans-Ulrich Prokosch; Thomas Bürkle
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

8.  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

9.  Frequency and nature of drug-drug interactions in a Dutch university hospital.

Authors:  Jeannette E F Zwart-van Rijkom; Esther V Uijtendaal; Maarten J ten Berg; Wouter W van Solinge; Antoine C G Egberts
Journal:  Br J Clin Pharmacol       Date:  2009-08       Impact factor: 4.335

10.  Time-dependent drug-drug interaction alerts in care provider order entry: software may inhibit medication error reductions.

Authors:  Heleen van der Sijs; Laureen Lammers; Annemieke van den Tweel; Jos Aarts; Marc Berg; Arnold Vulto; Teun van Gelder
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

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