Abstract | OBJECTIVE: A single score that represents the multidimensionality of pain would be an innovation for patient-reported outcomes. Our aim was to determine the reliability, validity, and sensitivity of the Composite Pain Index ( CPI). DESIGN: Methodological analysis of data from a randomized controlled, pretest/post-test education-based intervention study. SETTING: The study was conducted in outpatient oncology clinics. SUBJECTS: The 176 subjects had pain, were 52 ± 12.5 years on average, 63% were female, and 46% had stage IV cancers. METHODS: We generated the CPI from pain location, intensity, quality, and pattern scores measured with an electronic version of Melzack's McGill Pain Questionnaire. RESULTS: The internal consistency values for the individual scores comprising the CPI were adequate (0.71 baseline, 0.69 post-test). Principal components analysis extracted one factor with an eigenvalue of 2.17 with explained variance of 54% at baseline and replicated the one factor with an eigenvalue of 2.11 at post-test. The factor loadings for location, intensity, quality, and pattern were 0.65, 0.71, 0.85, and 0.71, respectively (baseline), and 0.59, 0.81, 0.84, and 0.63, respectively (post-test). The CPI was sensitive to an education intervention effect. CONCLUSIONS: Findings support the CPI as a score that integrates the multidimensional pain experience in people with cancer. It could be used as a patient-reported outcome measure to quantify the complexity of pain in clinical research and population studies of cancer pain and studied for relevance in other pain populations.
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Authors | Diana J Wilkie, Robert E Molokie, Marie L Suarez, Miriam O Ezenwa, Zaijie J Wang |
Journal | Pain medicine (Malden, Mass.)
(Pain Med)
Vol. 16
Issue 7
Pg. 1341-8
(Jul 2015)
ISSN: 1526-4637 [Electronic] England |
PMID | 25712169
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Validation Study)
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Copyright | © 2015 American Academy of Pain Medicine. |
Topics |
- Adult
- Aged
- Female
- Humans
- Male
- Middle Aged
- Pain
(diagnosis, physiopathology)
- Pain Measurement
(methods, statistics & numerical data)
- Patient Outcome Assessment
- Reproducibility of Results
- Sensitivity and Specificity
- Severity of Illness Index
- Surveys and Questionnaires
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