Literature DB >> 23599225

Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool.

Alexander A Leung1, Carol Keohane, Stuart Lipsitz, Eyal Zimlichman, Mary Amato, Steven R Simon, Michael Coffey, Nathan Kaufman, Bismarck Cadet, Gordon Schiff, Diane L Seger, David W Bates.   

Abstract

OBJECTIVE: The Leapfrog CPOE evaluation tool has been promoted as a means of monitoring computerized physician order entry (CPOE). We sought to determine the relationship between Leapfrog scores and the rates of preventable adverse drug events (ADE) and potential ADE.
MATERIALS AND METHODS: A cross-sectional study of 1000 adult admissions in five community hospitals from October 1, 2008 to September 30, 2010 was performed. Observed rates of preventable ADE and potential ADE were compared with scores reported by the Leapfrog CPOE evaluation tool. The primary outcome was the rate of preventable ADE and the secondary outcome was the composite rate of preventable ADE and potential ADE.
RESULTS: Leapfrog performance scores were highly related to the primary outcome. A 43% relative reduction in the rate of preventable ADE was predicted for every 5% increase in Leapfrog scores (rate ratio 0.57; 95% CI 0.37 to 0.88). In absolute terms, four fewer preventable ADE per 100 admissions were predicted for every 5% increase in overall Leapfrog scores (rate difference -4.2; 95% CI -7.4 to -1.1). A statistically significant relationship between Leapfrog scores and the secondary outcome, however, was not detected. DISCUSSION: Our findings support the use of the Leapfrog tool as a means of evaluating and monitoring CPOE performance after implementation, as addressed by current certification standards.
CONCLUSIONS: Scores from the Leapfrog CPOE evaluation tool closely relate to actual rates of preventable ADE. Leapfrog testing may alert providers to potential vulnerabilities and highlight areas for further improvement.

Keywords:  Leapfrog; clinical decision support; computerized physician order entry; medication safety

Mesh:

Year:  2013        PMID: 23599225      PMCID: PMC3715361          DOI: 10.1136/amiajnl-2012-001549

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


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  12 in total

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Authors:  Zoe Co; A Jay Holmgren; David C Classen; Lisa P Newmark; Diane L Seger; Jessica M Cole; Barbara Pon; Karen P Zimmer; David W Bates
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5.  Assessing hospital electronic health record vendor performance across publicly reported quality measures.

Authors:  A Jay Holmgren; Masha Kuznetsova; David Classen; David W Bates
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Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

7.  Association of Hospital Public Quality Reporting With Electronic Health Record Medication Safety Performance.

Authors:  A Jay Holmgren; David W Bates
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Review 8.  A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care.

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