Journal of Clinical Psychology in Medical Settings

, Volume 15, Issue 4, pp 301–307

Optimal Scoring of the Multidimensional Pain Inventory in a Chronic Pain Sample

  • Christopher J. Hopwood
  • Suzannah K. Creech
  • Timothy S. Clark
  • Mary W. Meagher
  • Leslie C. Morey
Article

DOI: 10.1007/s10880-008-9131-x

Cite this article as:
Hopwood, C.J., Creech, S.K., Clark, T.S. et al. J Clin Psychol Med Settings (2008) 15: 301. doi:10.1007/s10880-008-9131-x

Abstract

The Multidimensional Pain Inventory (MPI) is one of the most commonly used self-report instruments in pain settings. The MPI can be used to classify patients into three clusters or its nine scales can be treated as dimensions in efforts to understand patient heterogeneity. Previous research suggests the existence of a fourth cluster, whose members have been labeled ‘repressors,’ that emerges with the addition of a defensiveness scale to the MPI. The current paper compared the abilities of MPI cluster and dimensional models with and without a measure of defensiveness to capture variability in validating variables related to personality, psychopathology, physical functioning, and treatment outcome in a chronic pain sample. Results suggest that dimensional models consistently outperform cluster models in explaining variance in outcome variables, and that the addition of a measure of defensiveness increments the validity offered by the MPI scales. Implications for the assessment of pain patients are discussed.

Keywords

Repression Chronic pain Assessment Cluster analysis Dimensional models Multidimensional Pain Inventory 

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Christopher J. Hopwood
    • 1
  • Suzannah K. Creech
    • 2
  • Timothy S. Clark
    • 3
  • Mary W. Meagher
    • 4
  • Leslie C. Morey
    • 4
  1. 1.Department of PsychologyMichigan State UniversityEast LansingUSA
  2. 2.Brown Medical School and Providence VA PTSD ClinicProvidenceUSA
  3. 3.Baylor Center for Pain ManagementDallasUSA
  4. 4.Department of PsychologyTexas A&M UniversityCollege StationUSA

Personalised recommendations