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Measurement Properties of the SF-MPQ-2 Neuropathic Qualities Subscale in Persons with CRPS: Validity, Responsiveness,
Tara L Packham1,2, Debbie Bean3,4, Malcolm H Johnson3,4
1Michael G. DeGroote Institute for Pain Research and Care, Hamilton, Ontario, Canada.
Pain Medicine (Malden, Mass.)
|October 23, 2018
Summary
This study validates the Neuropathic Qualities subscale for complex regional pain syndrome (CRPS) patients, showing it
Area of Science:
- Pain research
- Psychometrics
- Clinical assessment
Background:
- Complex regional pain syndrome (CRPS) is a debilitating condition.
- Accurate measurement of neuropathic pain qualities is crucial for effective management.
- The Short-Form McGill Pain Questionnaire-2 (SF-MPQ-2) Neuropathic Qualities subscale is a potential tool.
Purpose of the Study:
- To evaluate the psychometric properties of the SF-MPQ-2 Neuropathic Qualities subscale in individuals with CRPS.
- To assess reliability, validity, and responsiveness using classical psychometrics and Rasch analysis.
- To determine if the subscale is a suitable standalone measure for neuropathic pain features.
Main Methods:
- Secondary analysis of longitudinal data from 59 individuals with acute CRPS.
- Application of Rasch analysis to assess data fit and psychometric properties.
- Iterative process to address data fitting challenges and item analysis.
Main Results:
- The Neuropathic Qualities subscale demonstrated good theoretical construct validity and supported convergent construct validity hypotheses.
- Responsiveness was confirmed with a large effect size (d=0.92) between baseline and one-year follow-up.
- Rasch analysis indicated data fit after rescoring disordered thresholds and bundling items to address local dependency and differential item functioning.
Conclusions:
- Preliminary evidence supports the validity and responsiveness of the SF-MPQ-2 Neuropathic Qualities subscale for CRPS.
- Rasch analysis suggests its utility as a standalone measure for neuropathic pain, with data transformations.
- Further validation in larger cohorts is recommended to strengthen confidence in the findings.
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