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Taylor and Francis Group, Journal of Manual and Manipulative Therapy, 2(18), p. 102-110, 2010

DOI: 10.1179/106698110x12640740712897

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The reliability of clinical judgments and criteria associated with mechanisms-based classifications of pain in patients with low back pain disorders: a preliminary reliability study

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This paper is available in a repository.

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Abstract

Mechanisms-based classifications of pain have been advocated for their potential to aid understanding of clinical presentations of pain and improve clinical outcomes. However, the reliability of mechanisms-based classifications of pain and the clinical criteria upon which such classifications are based are not known. The purpose of this investigation was to assess the inter- and intra-examiner reliability of clinical judgments associated with: (i) mechanisms-based classifications of pain; and (ii) the identification and interpretation of individual symptoms and signs from a Delphi-derived expert consensus list of clinical criteria associated with mechanisms-based classifications of pain in patients with low back (±leg) pain disorders. The inter- and intra-examiner reliability of an examination protocol performed by two physiotherapists on two separate cohorts of 40 patients was assessed. Data were analysed using kappa and percentage of agreement values. Inter- and intra-examiner agreement associated with clinicians’ mechanisms-based classifications of low back (±leg) pain was ‘substantial’ (kappa  = 0.77; 95% confidence interval (CI): 0.57–0.96; % agreement  = 87.5) and ‘almost perfect’ (kappa  = 0.96; 95% CI: 0.92–1.00; % agreement = 92.5), respectively. Sixty-eight and 95% of items on the clinical criteria checklist demonstrated clinically acceptable (kappa ⩾ 0.61 or % agreement ⩾ 80%) inter- and intra-examiner reliability, respectively. The results of this study provide preliminary evidence supporting the reliability of clinical judgments associated with mechanisms-based classifications of pain in patients with low back (±leg) pain disorders. The reliability of mechanisms-based classifications of pain should be investigated using larger samples of patients and multiple independent examiners.