Use of a Modified Comprehensive Pain Evaluation Questionnaire: Characteristics and Functional Status of Patients on Entry to a Tertiary Care Pain Clinic Academic Article uri icon

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abstract

  • BACKGROUND: With increasing knowledge of chronic pain, clinicians have attempted to assess chronic pain patients with lengthy assessment tools.OBJECTIVES: To describe the functional and emotional status of patients presenting to a tertiary care pain clinic; to assess the reliability and validity of a diagnostic classification system for chronic pain patients modelled after the Multidimensional Pain Inventory; to provide psychometric data on a modified Comprehensive Pain Evaluation Questionnaire (CPEQ); and to evaluate the relationship between the modified CPEQ construct scores and clusters withDiagnostic and Statistical Manual, Fourth Edition – Text RevisionPain Disorder diagnoses.METHODS: Data on 300 new patients over the course of nine months were collected using standardized assessment procedures plus a modified CPEQ at the Comprehensive Pain Program, Toronto Western Hospital, Toronto, Ontario.RESULTS: Cluster analysis of the modified CPEQ revealed three patient profiles, labelled Adaptive Copers, Dysfunctional, and Interpersonally Distressed, which closely resembled those previously reported. The distribution of modified CPEQ construct T scores across profile subtypes was similar to that previously reported for the original CPEQ. A novel finding was that of a strong relationship between the modified CPEQ clusters and constructs withDiagnostic and Statistical Manual, Fourth Edition – Text RevisionPain Disorder diagnoses.DISCUSSION AND CONCLUSIONS: The CPEQ, either the original or modified version, yields reproducible results consistent with the results of other studies. This technique may usefully classify chronic pain patients, but more work is needed to determine the meaning of the CPEQ clusters, what psychological or biomedical variables are associated with CPEQ constructs or clusters, and whether this instrument may assist in treatment planning or predict response to treatment.

authors

  • Nelli, Jennifer
  • Nicholson, Keith
  • Lakha, S Fatima
  • Louffat, Ada F
  • Chapparo, Luis
  • Furlan, Julio
  • Mailis-Gagnon, Angela

publication date

  • 2012

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