• Libraries
    • Log in to:
    View Item 
    •   MSpace Home
    • University of Manitoba Researchers
    • University of Manitoba Scholarship
    • View Item
    •   MSpace Home
    • University of Manitoba Researchers
    • University of Manitoba Scholarship
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents

    Thumbnail
    View/Open
    1472-6963-14-17.xml (84.37Kb)
    1472-6963-14-17.pdf (293.5Kb)
    Date
    2014-01-15
    Author
    Lix, Lisa M
    Yan, Lin
    Blackburn, David
    Hu, Nianping
    Schneider-Lindner, Verena
    Teare, Gary F
    Metadata
    Show full item record
    Abstract
    Abstract Background This study assessed the validity of the Resident Assessment Instrument Minimum Data Set (RAI-MDS) Version 2.0 for diagnoses of diabetes and comorbid conditions in residents of long-term care facilities (LTCFs). Methods Hospital inpatient, outpatient physician billing, RAI-MDS, and population registry data for 1997 to 2011 from Saskatchewan, Canada were used to ascertain cases of diabetes and 12 comorbid conditions. Prevalence estimates were calculated for both RAI-MDS and administrative health data. Sensitivity, specificity, and positive and negative predictive values (PPV and NPV) were calculated using population-based administrative health data as the validation data source. Cohen’s κ was used to estimate agreement between the two data sources. Results 23,217 LTCF residents were in the diabetes case ascertainment cohort. Diabetes prevalence was 25.3% in administrative health data and 21.9% in RAI-MDS data. Overall sensitivity of a RAI-MDS diabetes diagnoses was 0.79 (95% CI: 0.79, 0.80) and the PPV was 0.92 (95% CI: 0.91, 0.92), when compared to administrative health data. Sensitivity of the RAI-MDS for ascertaining comorbid conditions ranged from 0.21 for osteoporosis to 0.92 for multiple sclerosis; specificity was high for most conditions. Conclusions RAI-MDS clinical assessment data are sensitive to ascertain diabetes cases in LTCF populations when compared to administrative health data. For many comorbid conditions, RAI-MDS data have low validity when compared to administrative data. Risk-adjustment measures based on these comorbidities might not produce consistent results for RAI-MDS and administrative health data, which could affect the conclusions of studies about health outcomes and quality of care across facilities.
    URI
    http://hdl.handle.net/1993/23270
    DOI
    10.1186/1472-6963-14-17
    Collections
    • Rady Faculty of Health Sciences Scholarly Works [1296]
    • University of Manitoba Scholarship [1978]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of MSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV