Chronic Pain
The knee pain map: Reliability of a method to identify knee pain location and pattern
Article first published online: 28 MAY 2009
DOI: 10.1002/art.24543
Copyright © 2009 by the American College of Rheumatology
Additional Information
How to Cite
Thompson, L. R., Boudreau, R., Hannon, M. J., Newman, A. B., Chu, C. R., Jansen, M., Nevitt, M. C. and Kwoh, C. K. (2009), The knee pain map: Reliability of a method to identify knee pain location and pattern. Arthritis Care & Research, 61: 725–731. doi: 10.1002/art.24543
Publication History
- Issue published online: 28 MAY 2009
- Article first published online: 28 MAY 2009
- Manuscript Accepted: 11 FEB 2009
- Manuscript Received: 26 AUG 2008
Funded by
- National Institute of Arthritis and Musculoskeletal and Skin Diseases. Grant Number: AR-12262
- National Institute of Aging Ruth L. Kirschstein National Research Service Award Institutional Research Training. Grant Number: AG-021885
- University of Pittsburgh School of Medicine Clinical Scientist Training Program
- Abstract
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Abstract
Objective
To describe the location and pattern of knee pain in patients with chronic, frequent knee pain using the Knee Pain Map, and to evaluate the inter- and intrarater reliability of the map.
Methods
A cohort of 799 participants from the University of Pittsburgh Osteoarthritis Initiative Clinical Center who had knee pain in the last 12 months were studied. Trained interviewers assessed and recorded participant-reported knee pain patterns into 8 local areas, 4 regional areas, or as diffuse. Inter- and intrarater reliability were assessed using Fleiss' kappa.
Results
Participants most often reported localized (69%) followed by regional (14%) or diffuse (10%) knee pain. In those with localized pain, the most commonly reported locations were the medial (56%) and lateral (43%) joint lines. In those with regional pain, the most commonly reported regions were the patella (44%) and medial region (38%). There was excellent interrater reliability for the identification of localized and regional pain patterns (κ = 0.7–0.9 and 0.7–0.8, respectively). The interrater reliability for specific locations was also excellent (κ = 0.7–1.0) when the number of participants with pain in a location was >4. For regional pain, the kappa for specific regions varied from 0.7–1.0.
Conclusion
The majority of participants could identify the location of their knee pain, and trained interviewers could reliably record those locations. The variation in locations suggests that there are multiple sources of pain in knee OA. Additional studies are needed to determine whether specific knee pain patterns correlate with discrete pathologic findings on radiographs or magnetic resonance images.

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