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01-05-2013 | Uitgave 4/2013

Quality of Life Research 4/2013

Relative importance measures for reprioritization response shift

Tijdschrift:
Quality of Life Research > Uitgave 4/2013
Auteurs:
Lisa M. Lix, Tolulope T. Sajobi, Richard Sawatzky, Juxin Liu, Nancy E. Mayo, Yuhui Huang, Lesley A. Graff, John R. Walker, Jason Ediger, Ian Clara, Kathryn Sexton, Rachel Carr, Charles N. Bernstein
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Electronic supplementary material

The online version of this article (doi:10.​1007/​s11136-012-0198-3) contains supplementary material, which is available to authorized users.

Abstract

Purpose

Response shift (RS), a change in the meaning of an individual’s self-evaluation of a target construct, such as health-related quality of life (HRQOL), can affect the interpretation of change in measures of the construct collected over time. This study proposes new statistical methods to test for reprioritization RS, in which the relative importance of HRQOL domains changes over time.

Methods

The methods use descriptive discriminant analysis or logistic regression models and bootstrap inference to test for change in relative importance weights (Method 1) or ranks (Method 2) for discriminating between patient groups at two occasions. The methods are demonstrated using data from the Manitoba Inflammatory Bowel Disease (IBD) Cohort Study (n = 388). Reprioritization of domains from the IBD Questionnaire (IBDQ) and SF-36 was investigated for groups with active and inactive disease symptoms.

Results

The IBDQ bowel symptoms and SF-36 bodily pain domains had the highest ranks for group discrimination. Using Method 1, there was evidence of reprioritization RS in the IBDQ social functioning domain and the SF-36 bodily pain and social functioning domains. Method 2 did not detect change for any of the domains.

Conclusions

Compared to IBD patients without active disease symptoms, those with active symptoms were likely to change the meaning of their self-evaluations of pain and social interactions. Further research is needed to compare these new RS detection methods under a variety of data analytic conditions before recommendations about the optimal method can be made.

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Extra materiaal
Supplementary material 1 (DOC 63 kb)
11136_2012_198_MOESM1_ESM.doc
Literatuur
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