The photographic knee pain map: Locating knee pain with an instrument developed for diagnostic, communication and research purposes

Elson, David, Jones, S., Caplan, Nick, Stewart, Su, St Clair Gibson, Alan and Kader, Deiary (2011) The photographic knee pain map: Locating knee pain with an instrument developed for diagnostic, communication and research purposes. The Knee, 18 (6). pp. 417-423. ISSN 0968-0160

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Official URL: http://dx.doi.org/10.1016/j.knee.2010.08.012

Abstract

Pain maps are used to determine the location of pain. Knee pain maps have previously been described, but only one study has reported on reliability and none report validity. The present study describes the generation of a photographic knee pain map (PKPM) together with its validity and reliability. A photographic representation of a pair of knees was chosen by 26 patients, (66.7%) from a group of 39. The selected photograph was modified and a template of anatomical zones was generated. The opinions of 25 independent subject matter experts were canvassed and validity ratios calculated for these zones, ranged from 0.28 to 0.84. Hypothetical comparisons were made between the PKPM and an alternative knee pain map, in a cross-sectional group of 26 patients (35 knees). Convergent patterns of validity were found where hypothesised. Reliability was determined using a different cohort of 44 patients (58 knees) who completed the PKPM before and after a sampling delay. Four of these patients were excluded with a short sampling delay. Calculated agreement of test–retest reproducibility was fair to good. All of the completed PKPM (151 knees) were then subject to further analysis where inter-rater reproducibility was good to very good and intra–rater reproducibility was very good. The PKPM is readily accessible to patients with low completion burden. It is both valid and reliable and we suggest it can be used in both clinical and research settings. Further studies are planned to explore its predictive ability as a diagnostic tool. The PKPM can be found at www.photographickneepainmap.com.

Item Type: Article
Uncontrolled Keywords: Knee pain, pain maps, pain location, validation, reliability
Subjects: C600 Sports Science
Department: Faculties > Health and Life Sciences > School of Life Sciences > Sport, Exercise and Rehabilitation
Depositing User: Ellen Cole
Date Deposited: 19 Dec 2011 16:29
Last Modified: 10 Aug 2015 11:39
URI: http://nrl.northumbria.ac.uk/id/eprint/4311

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