The Journal of Pain
Volume 11, Issue 3 , Pages 273-279, March 2010

The Assessment of Pain Quality: An Item Response Theory Analysis

  • Clare Waterman

      Affiliations

    • Graduate School of Education, University of Pennsylvania, Philadelphia, Pennsylvania
  • ,
  • Timothy W. Victor

      Affiliations

    • Orion Analytics, Inc, Exton, Pennsylvania
    • Corresponding Author InformationAddress reprint requests to Timothy W. Victor, PhD, Orion Analytics, Inc, 64 East Uwchlan Avenue #207, Exton, PA, 19341.
  • ,
  • Mark P. Jensen

      Affiliations

    • Department of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, Washington
  • ,
  • Errol M. Gould

      Affiliations

    • Endo Pharmaceuticals Inc, Chadds Ford, Pennsylvania
  • ,
  • Arnold R. Gammaitoni

      Affiliations

    • Merck & Co, Inc, Whitehouse Station, New Jersey
  • ,
  • Bradley S. Galer

      Affiliations

    • Nuvo Research Inc, Mississauga, Ontario, Canada

Received 4 December 2008; received in revised form 29 June 2009; accepted 25 July 2009.

Abstract 

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.

Key words: Pain assessment, pain quality, Pain Quality Assessment Scale, item response theory, IRT

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 Supported by Endo Pharmaceuticals Inc.

PII: S1526-5900(09)00692-0

doi:10.1016/j.jpain.2009.07.014

The Journal of Pain
Volume 11, Issue 3 , Pages 273-279, March 2010