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    Medication Identification Rates by Pharmacists and Nurses

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    Author
    Lamhang, Brian
    Lee, Ae Ri
    Lim, Shannon
    Apgar, David
    Chinthammit, Chanadda
    Warholak, Terri
    Affiliation
    College of Pharmacy, The University of Arizona
    Issue Date
    2014
    Keywords
    Medication
    Rates
    Pharmacists
    Nurses
    MeSH Subjects
    Medication Errors
    Pharmacists
    Nurses
    Advisor
    Apgar, David
    Chinthammit, Chanadda
    Warholak, Terri
    
    Metadata
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    Rights
    Copyright © is held by the author.
    Collection Information
    This item is part of the Pharmacy Student Research Projects collection, made available by the College of Pharmacy and the University Libraries at the University of Arizona. For more information about items in this collection, please contact Jennifer Martin, Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.
    Publisher
    The University of Arizona.
    Abstract
    Specific Aims: To assess and compare prescribing error-identification rates by healthcare professionals Methods: Pharmacists and nurses from Northwest Medical Center were invited to participate in this study. Participants completed a questionnaire that consisted of 10 fictitious patient prescriptions. They were asked to evaluate the accuracy of the prescriptions and indicated the type of error found, if any. The number of correctly identified prescribing errors, correct types of errors, and error identification rates for each group were calculated. Rasch analysis was used to assess the validity and reliability of the questionnaire. Wilcoxon and Rasch-Welch t-test were used to assess the difference in prescribing error-identification rates. Main Results: Thirty-five out of 700 nurses and 6 out of 20 pharmacists completed the questionnaire (response rate 5% and 30% respectively). Pharmacists had significantly higher error-identification rates compared to nurses (p = 0.0001). Additionally, pharmacists were able to correctly identify the type of error in each prescription (p < 0.0001). Conclusion: Pharmacists were significantly able to correctly identify more prescribing errors and more types of prescribing errors in 10 fictitious prescriptions compared to nurses. Several assumptions and limitations were identified in this study, therefore future studies are warranted.
    Description
    Class of 2014 Abstract
    Collections
    Pharmacy Student Research Projects

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