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- Jennifer Maria Nelli, Keith Nicholson, Fatima Lakha S S, Ada F Louffat, Luis Chapparo, Julio C Furlan, Julio Furlan, and Angela Mailis-Gagnon.
- Toronto Western Hospital, Ontario. jennifer.nelli@utoronto.ca
- Pain Res Manag. 2012 Mar 1; 17 (2): 75-82.
BackgroundWith increasing knowledge of chronic pain, clinicians have attempted to assess chronic pain patients with lengthy assessment tools.ObjectivesTo 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 with Diagnostic and Statistical Manual, Fourth Edition - Text Revision Pain Disorder diagnoses.MethodsData 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.ResultsCluster 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 with Diagnostic and Statistical Manual, Fourth Edition - Text Revision Pain Disorder diagnoses.Discussion And ConclusionsThe 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.
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