• About
    • Login
    View Item 
    •   Institutional Repository Home
    • Electronic Theses and Dissertations
    • Electronic Theses and Dissertations
    • View Item
    •   Institutional Repository Home
    • Electronic Theses and Dissertations
    • Electronic Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Identifying, Investigating, and Classifying Data Errors: an Analysis of Clinical Research Data Quality from an Observational HIV Research Network in Latin America and the Caribbean

    Duda, Stephany Norah
    : https://etd.library.vanderbilt.edu/etd-03252011-145804
    http://hdl.handle.net/1803/11288
    : 2011-04-07

    Abstract

    Observational studies of health conditions and outcomes often combine clinical care data from many sites without explicitly assessing the accuracy and completeness of these data. Data auditing is an expensive but effective method of determining the quality of research data. We conducted a series of source verification data audits to determine the accuracy and completeness of data submitted to CCASAnet, an international, multicenter observational research network for HIV epidemiology. Our findings motivated investigations of sources of error, relevant dimensions of data quality, and the applicability of computer-based audit tools. This work underscores the importance of data quality assessment for collaborative research networks, especially those in international settings. Investigators should consider implementing an audit program to evaluate the reliability of different data sources and correct discrepancies in data that have already been collected. Such audits can be made more efficient by using computerized tools and flexible error metrics.
    Show full item record

    Files in this item

    Icon
    Name:
    Duda_page_correction.pdf
    Size:
    1.926Mb
    Format:
    PDF
    View/Open

    This item appears in the following collection(s):

    • Electronic Theses and Dissertations

    Connect with Vanderbilt Libraries

    Your Vanderbilt

    • Alumni
    • Current Students
    • Faculty & Staff
    • International Students
    • Media
    • Parents & Family
    • Prospective Students
    • Researchers
    • Sports Fans
    • Visitors & Neighbors

    Support the Jean and Alexander Heard Libraries

    Support the Library...Give Now

    Gifts to the Libraries support the learning and research needs of the entire Vanderbilt community. Learn more about giving to the Libraries.

    Become a Friend of the Libraries

    Quick Links

    • Hours
    • About
    • Employment
    • Staff Directory
    • Accessibility Services
    • Contact
    • Vanderbilt Home
    • Privacy Policy