• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    A National Survey on Prescribers' Knowledge of and Their Source of Drug-Drug Interaction Information-An Application of Item Response Theory

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_etd_1993_sip1_m.pdf
    Size:
    815.5Kb
    Format:
    PDF
    Description:
    azu_etd_1993_sip1_m.pdf
    Download
    Author
    Ko, Yu
    Issue Date
    2006
    Keywords
    drug-drug interaction
    prescriber
    knowledge
    national survey
    item response theory
    information source
    Advisor
    Brown, Mary
    Committee Chair
    Malone, Daniel C.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    OBJECTIVES: (1) To assess prescribers' ability to recognize clinically significant DDIs, (2) to examine demographic and practice factors that may be associated with prescribers' DDI knowledge, and (3) to evaluate prescribers' perceived usefulness of various DDI information sources.METHODS: This study used a mailed questionnaire sent to a national sample of prescribers based on their past history of DDI prescribing which was determined using data from a pharmacy benefit manager covering over 50 million lives. The survey questionnaire included 14 drug-drug pairs that tested prescribers' ability to recognize clinically important DDIs and five 5-point Likert scale-type questions that assessed prescribers' perceived usefulness of DDI information provided by various sources. Demographic and practice characteristics were collected as well. Rasch analysis was used to evaluate the knowledge and usefulness questions.RESULTS: Completed questionnaires were obtained from 950 prescribers (overall response rate: 7.9%). The number of drug pairs correctly classified by the prescribers ranged from zero to thirteen, with a mean of 6 pairs (42.7%). The percentage of prescribers who correctly classified specific drug pairs ranged from 18.2% for warfarin-cimetidine to 81.2% for acetaminophen with codeine-amoxicillin. Half of the drug pair questions were answered "not sure" by over one-third of the respondents; among which, two were contraindicated. Rasch analysis of knowledge and usefulness questions revealed satisfactory model-data fit and person reliability of 0.72 and 0.61, respectively. A multiple regression analysis revealed that specialists were less likely to correctly identify interactions as compared to prescribers who were generalists. Other important predictors of DDI knowledge included the experience of seeing a harm caused by DDIs and the extent to which the risk of DDIs affected the prescribers' drug selection. ANOVA with the post-hoc Scheffe test indicated that prescribers considered DDI information provided by "other" sources to be more useful than that provided by computerized alert system. CONCLUSIONS: This study suggests that prescribers' DDI knowledge may be inadequate. The study found that for the drug interactions evaluated, generalists performed better than specialists. In addition, this study presents an application of IRT analysis to knowledge and attitude measurement in health science research.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Pharmaceutical Sciences
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.