• 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.

    Measures of Relative Importance 1 for Health-Related Quality of Life

    Thumbnail
    View/Open
    Main Article (1020.Kb)
    Date
    2012-02
    Author
    Sajobi, Tolulope
    Lix, Lisa
    Clara, Ian
    Walker, John
    Graff, Lesley A.
    Rawsthorne, Patricia
    Miller, Norine
    Rogala, Linda
    Carr, Rachel
    Bernstein, Charles N.
    Metadata
    Show full item record
    Abstract
    PURPOSE: In health-related quality of life (HRQOL) studies, data are often collected on multiple domains for two or more groups of study participants. Quantitative measures of relative importance, which are used to rank order the domains based on their ability to discriminate between groups, are an alternative to multiple tests of significance on the group differences. This study describes relative importance measures based on logistic regression (LR) and multivariate analysis of variance (MANOVA) models. METHODS: Relative importance measures are illustrated using data from the Manitoba Inflammatory Bowel Disease (IBD) Cohort Study. Study participants with self-reported active (n = 244) and inactive (n = 105) disease were compared on 12 HRQOL domains from the Inflammatory Bowel Disease Questionnaire (IBDQ) and Medical Outcomes Study 36-item Short-Form (SF-36) Questionnaire. RESULTS: All but two relative importance measures ranked the IBDQ bowel symptoms and emotional health domains as most important. CONCLUSIONS: MANOVA-based importance measures are recommended for multivariate normal data and when group covariances are equal, while LR measures are recommended for non-normal data and when the correlations among the domains are small. Relative importance measures can be used in exploratory studies to identify a small set of domains for further research.
    URI
    http://hdl.handle.net/1993/30423
    DOI
    10.1007/s11136-011-9914-7
    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