Literature DB >> 22265384

Intertester reliability of a classification system for shoulder pain.

Tom Carter1, Hamilton Hall, Greg McIntosh, John Murphy, Janice MacDougall, Christina Boyle.   

Abstract

OBJECTIVE: To describe and determine the intertester reliability of a newly developed classification system of shoulder syndrome recognition.
DESIGN: Intertester reliability study.
SETTING: Fourteen primary care physiotherapy clinics. PARTICIPANTS: Two hundred and fifty-five patients with shoulder pain. Inclusion criterion: presence of shoulder pain aring within the glenohumeral or associated joints and structures. EXCLUSION CRITERIA: previous shoulder surgery, surgical candidates, recognised malignancy, systemic illness, or concurrent cervical pain and/or radiculopathy. INTERVENTION: Examiners were 55 physiotherapists who were arranged in pairs; each patient received two independent and blinded assessments, one by each of the paired physiotherapists. This shoulder classification approach contains three main clinical syndromes: Pattern 1 (impingement pain), Pattern 2 (acromioclavicular joint pain) and Pattern 3 (shoulder pain: frozen shoulder, glenohumeral arthritis, massive cuff tear, subscapularis tear, painful laxity, post-traumatic instability, internal derangement). MAIN OUTCOME MEASURES: Percentage agreement and Cohen's kappa coefficient.
RESULTS: The mean age of patients was 46.6 years (standard deviation 16.3, range 16 to 86), and 57% were male. Physiotherapists agreed on the pattern of shoulder pain for 205 of the 255 shoulders assessed (agreement rate 80%); the kappa coefficient was 0.664 (95% confidence interval 0.622 to 0.706; P<0.001). Of the 205 agreements, Pattern 1 was the most common condition; physiotherapists agreed on this pattern for 139 patients (68%). Both physiotherapists diagnosed Pattern 2 for 20 patients and Pattern 3 for 46 patients.
CONCLUSION: This clearly defined system uses key elements of the history and examination to classify patients with shoulder pain. The kappa coefficient denotes good reproducibility.
Copyright © 2011 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22265384     DOI: 10.1016/j.physio.2010.12.003

Source DB:  PubMed          Journal:  Physiotherapy        ISSN: 0031-9406            Impact factor:   3.358


  7 in total

1.  Inter-examiner reliability of diplomats in the mechanical diagnosis and therapy system in assessing patients with shoulder pain.

Authors:  Afshin Heidar Abady; Richard Rosedale; Tom J Overend; Bert M Chesworth; Michael A Rotondi
Journal:  J Man Manip Ther       Date:  2014-11

2.  TREATMENT OF ROTATOR CUFF TENDINOPATHY AS A CONTRACTILE DYSFUNCTION. A CLINICAL COMMENTARY.

Authors:  Guido Spargoli
Journal:  Int J Sports Phys Ther       Date:  2019-02

3.  Investigating the effects of mobilization with movement and exercise on pain modulation processes in shoulder pain - a single cohort pilot study with short-term follow up.

Authors:  Melina N Haik; Kerrie Evans; Ashley Smith; Leanne Bisset
Journal:  J Man Manip Ther       Date:  2022-02-10

4.  Increasing Capacity for the Treatment of Common Musculoskeletal Problems: A Non-Inferiority RCT and Economic Analysis of Corticosteroid Injection for Shoulder Pain Comparing a Physiotherapist and Orthopaedic Surgeon.

Authors:  Darryn Marks; Leanne Bisset; Tracy Comans; Michael Thomas; Shu Kay Ng; Shaun O'Leary; Philip G Conaghan; Paul A Scuffham
Journal:  PLoS One       Date:  2016-09-15       Impact factor: 3.240

5.  Intertester reliability of shoulder complaints diagnoses in primary health care.

Authors:  Benny Storheil; Elise Klouman; Stian Holmvik; Nina Emaus; Nils Fleten
Journal:  Scand J Prim Health Care       Date:  2016-07-12       Impact factor: 2.581

6.  Shoulder assessment by smartphone: a valid alternative for times of social distancing.

Authors:  Alon Rabin; Oleg Dolkart; Efi Kazum; Reut Wengier; Yariv Goldstein; Eran Maman; Ofir Chechik
Journal:  Arch Orthop Trauma Surg       Date:  2021-01-13       Impact factor: 2.928

7.  Assessment and Diagnosis of Musculoskeletal Shoulder Disorders over the Internet.

Authors:  Leah Steele; Hannah Lade; Stephanie McKenzie; Trevor G Russell
Journal:  Int J Telemed Appl       Date:  2012-11-05
  7 in total

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