Literature DB >> 20211439

The assessment of pain quality: an item response theory analysis.

Clare Waterman1, Timothy W Victor, Mark P Jensen, Errol M Gould, Arnold R Gammaitoni, Bradley S Galer.   

Abstract

UNLABELLED: Item Response Theory (IRT) is being increasingly used to develop and evaluate outcome measures. However, many pain measures, including those that assess pain quality, have yet to be evaluated from the IRT perspective. The current study evaluated the scales of a commonly used measure of pain quality (the Pain Quality Assessment Scale, or PQAS) using IRT analyses in 3 samples of patients with chronic pain. The findings indicated variability in the precision of the scales, suggesting that all 3 of the PQAS scales are precise when pain is severe and that the Paroxysmal and Deep scales but not necessarily the Surface scale are precise when pain is of moderate or lower severity. In addition, 2 potential problems with the 11 (ie, 0 to 10) response levels used for the PQAS items were identified: (1) a high degree of overlap between adjacent response levels and (2) a lack of interval scaling. Research is needed to determine the extent to which these problems do, or do not, threaten the validity of the PQAS items and scales as outcome measures in pain clinical trials. PERSPECTIVE: IRT analyses provide important information about the psychometric and practical qualities of pain measures that is not provided by standard (classical test theory) analyses. IRT analyses of the PQAS subscales indicate that some of the scales are more precise than others at different levels of pain severity and provide important directions for further research to better understand the PQAS. IRT analyses would probably similarly provide important information concerning the utility of other measures commonly used in pain research. Copyright 2010. Published by Elsevier Inc.

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Year:  2010        PMID: 20211439     DOI: 10.1016/j.jpain.2009.07.014

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


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