Literature DB >> 32698231

Clinician Perceptions of Timing and Presentation of Drug-Drug Interaction Alerts.

Kate E Humphrey1, Maria Mirica2, Shobha Phansalkar3, Al Ozonoff4,5, Marvin B Harper6.   

Abstract

OBJECTIVE: Alert presentation of clinical decision support recommendations is a common method for providing information; however, many alerts are overridden suggesting presentation design improvements can be made. This study attempts to assess pediatric prescriber information needs for drug-drug interactions (DDIs) alerts and to evaluate the optimal presentation timing and presentation in the medication ordering process.
METHODS: Six case scenarios presented interactions between medications used in pediatric specialties of general medicine, infectious disease, cardiology, and neurology. Timing varied to include alert interruption at medication selection versus order submission; or was noninterruptive. Interviews were audiotaped, transcribed, and independently analyzed to derive central themes.
RESULTS: Fourteen trainee and attending clinicians trained in pediatrics, cardiology, and neurology participated. Coders derived 8 central themes from 929 quotes. Discordance exists between medication prescribing frequency and DDI knowledge; providers may commonly prescribe medications for which they do not recognize DDIs. Providers wanted alerts at medication selection rather than at order signature. Alert presentation themes included standardizing text, providing interaction-specific incidence/risk information, DDI rating scales, consolidating alerts, and providing alternative therapies. Providers want alerts to be actionable, for example, allowing medication discontinuation and color visual cues for essential information. Despite alert volume, participants did not "mind being reminded because there is always the chance that at that particular moment (they) do not remember it" and acknowledged the importance of alerts as "essential in terms of patient safety."
CONCLUSION: Clinicians unanimously agreed on the importance of receiving DDI alerts to improve patient safety. The perceived alert value can be improved by incorporating clinician preferences for timing and presentation. Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2020        PMID: 32698231      PMCID: PMC7383060          DOI: 10.1055/s-0040-1714276

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


  34 in total

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3.  Integrating computerized clinical decision support systems into clinical work: A meta-synthesis of qualitative research.

Authors:  Anne Miller; Brian Moon; Shilo Anders; Rachel Walden; Steven Brown; Diane Montella
Journal:  Int J Med Inform       Date:  2015-09-14       Impact factor: 4.046

4.  Understanding adverse events: human factors.

Authors:  J Reason
Journal:  Qual Health Care       Date:  1995-06

5.  High-priority drug-drug interaction clinical decision support overrides in a newly implemented commercial computerized provider order-entry system: Override appropriateness and adverse drug events.

Authors:  Heba Edrees; Mary G Amato; Adrian Wong; Diane L Seger; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

6.  Improving patient safety by modifying provider ordering behavior using alerts (CDSS) in CPOE system.

Authors:  Kshitij Saxena; Barry R Lung; Jody R Becker
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

7.  What, if all alerts were specific - estimating the potential impact on drug interaction alert burden.

Authors:  Hanna M Seidling; Ulrike Klein; Matthias Schaier; David Czock; Dirk Theile; Markus G Pruszydlo; Jens Kaltschmidt; Gerd Mikus; Walter E Haefeli
Journal:  Int J Med Inform       Date:  2014-01-13       Impact factor: 4.046

8.  Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Effective CDS is essential for addressing healthcare performance improvement imperatives.

Authors:  Anwar M Sirajuddin; Jerome A Osheroff; Dean F Sittig; John Chuo; Ferdinand Velasco; David A Collins
Journal:  J Healthc Inf Manag       Date:  2009

9.  Prescribers' knowledge of and sources of information for potential drug-drug interactions: a postal survey of US prescribers.

Authors:  Yu Ko; Daniel C Malone; Grant H Skrepnek; Edward P Armstrong; John E Murphy; Jacob Abarca; Rick A Rehfeld; Sally J Reel; Raymond L Woosley
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

10.  Automated identification of antibiotic overdoses and adverse drug events via analysis of prescribing alerts and medication administration records.

Authors:  Eric S Kirkendall; Michal Kouril; Judith W Dexheimer; Joshua D Courter; Philip Hagedorn; Rhonda Szczesniak; Dan Li; Rahul Damania; Thomas Minich; S Andrew Spooner
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

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4.  Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome.

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Journal:  Appl Clin Inform       Date:  2021-03-10       Impact factor: 2.342

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