Literature DB >> 15782750

Clinical relevance of automated drug alerts from the perspective of medical providers.

Jeffrey R Spina1, Peter A Glassman, Pamela Belperio, Rumi Cader, Steven Asch.   

Abstract

The authors used a real-time survey instrument and subsequent focus group among primary care clinicians at a large healthcare system to assess usefulness of automated drug alerts. Of 108 alerts encountered, 0.9% (n = 1) represented critical alerts, and 16% (n = 17) were significant drug interaction alerts. Sixty-one percent (n = 66) involved duplication of a medication or medication class. The rest (n = 24) involved topical medications, inhalers, or vaccines. Of the 84 potentially relevant alerts, providers classified 11% (9/84), or about 1 in 9, as useful. Drug interaction alerts were more often deemed useful than drug duplication alerts (44.4% versus 1.5%, P < .001). Focus group participants generally echoed these results when ranking the relevance of 15 selected alerts, although there was wide variance in ratings for individual alerts. Hence, a "smarter" system that utilizes a set of mandatory alerts while allowing providers to tailor use of other automated warnings may improve clinical relevance of drug alert systems.

Entities:  

Mesh:

Year:  2005        PMID: 15782750     DOI: 10.1177/1062860604273777

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  18 in total

1.  A randomized-controlled trial of computerized alerts to reduce unapproved medication abbreviation use.

Authors:  Jennifer S Myers; Sattar Gojraty; Wei Yang; Amy Linsky; Subha Airan-Javia; Rosemary C Polomano
Journal:  J Am Med Inform Assoc       Date:  2010-12-03       Impact factor: 4.497

2.  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

3.  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

4.  SANDS: a service-oriented architecture for clinical decision support in a National Health Information Network.

Authors:  Adam Wright; Dean F Sittig
Journal:  J Biomed Inform       Date:  2008-03-14       Impact factor: 6.317

5.  A randomized trial of the effectiveness of on-demand versus computer-triggered drug decision support in primary care.

Authors:  Robyn Tamblyn; Allen Huang; Laurel Taylor; Yuko Kawasumi; Gillian Bartlett; Roland Grad; André Jacques; Martin Dawes; Michal Abrahamowicz; Robert Perreault; Nancy Winslade; Lise Poissant; Alain Pinsonneault
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

6.  Electronic drug interaction alerts in ambulatory care: the value and acceptance of high-value alerts in US medical practices as assessed by an expert clinical panel.

Authors:  Saul N Weingart; Andrew C Seger; Nicholas Feola; James Heffernan; Gordon Schiff; Thomas Isaac
Journal:  Drug Saf       Date:  2011-07-01       Impact factor: 5.606

7.  Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts.

Authors:  Kai Zheng; Kathleen Fear; Bruce W Chaffee; Christopher R Zimmerman; Edward M Karls; Justin D Gatwood; James G Stevenson; Mark D Pearlman
Journal:  J Am Med Inform Assoc       Date:  2011-04-12       Impact factor: 4.497

8.  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

9.  Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process.

Authors:  Michelle Sweidan; Margaret Williamson; James F Reeve; Ken Harvey; Jennifer A O'Neill; Peter Schattner; Teri Snowdon
Journal:  BMC Med Inform Decis Mak       Date:  2010-04-15       Impact factor: 2.796

10.  General practitioners' attitudes and preparedness towards Clinical Decision Support in e-Prescribing (CDS-eP) adoption in the West of Ireland: a cross sectional study.

Authors:  Chee Peng Hor; James M O'Donnell; Andrew W Murphy; Timothy O'Brien; Thomas J B Kropmans
Journal:  BMC Med Inform Decis Mak       Date:  2010-01-12       Impact factor: 2.796

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