Measures of relative importance for health-related quality of life

作者：Sajobi Tolulope T; Lix Lisa M^*; Clara Ian; Walker John; Graff Lesley A; Rawsthorne Patricia; Miller Norine; Rogala Linda; Carr Rachel; Bernstein Charles N

来源：Quality of Life Research, 2012, 21(1): 1-11.

DOI：10.1007/s11136-011-9914-7

• Discriminant analysis
• Health-related quality of life
• Inflammatory bowel disease
• Logistic model
• Multivariate analysis
• Relative importance

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. %26lt;br%26gt;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. %26lt;br%26gt;All but two relative importance measures ranked the IBDQ bowel symptoms and emotional health domains as most important. %26lt;br%26gt;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.

• 出版日期2012-2