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Orthopaedic Proceedings
Vol. 96-B, Issue SUPP_4 | Pages 34 - 34
1 Feb 2014
Newton C Singh G Watson P
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Purpose and Background

Traditional physiotherapy methods utilised in the management of NSCLBP have small effects on pain and disability and this is reflected by data previously collected by the host physiotherapy service. O'Sullivan has validated a novel classification system and matching treatment strategy known as Classification Based–Cognitive Functional Therapy (CB-CFT) for people with NSCLBP. Briefly, CB-CFT is a behavioural and functional management approach to NSCLBP. A recent RCT employing CB-CFT has demonstrated superior outcomes in comparison to traditional physiotherapy methods advocated by clinical practice guidelines. It was unknown if CB-CFT improved outcomes for people with NSCLBP attending an NHS physiotherapy service, therefore an evaluation of practice was proposed.

Methods and Results

People referred to physiotherapy with NSCLBP were assessed and treated by a physiotherapist trained in the delivery of CB-CFT. Primary outcomes of interest included the Oswestry Disability Index (ODI) and Numerical Pain Rating Scale (NPRS). A retrospective evaluation was performed for sixty-one people referred to physiotherapy with NSCLBP. Statistically significant improvements in disability (ODI p<0.001) and pain (NPRS p<0.001) were demonstrated. 88% of people achieved minimum clinically important change, defined as >10 points for the ODI and 75% of people achieved minimum clinically important change, defined as >2 on NPRS. Mean improvement of 24.7 points for the ODI and 3.0 for NPRS was observed immediately following CB-CFT, demonstrating large effect sizes of 1.56 and 1.21 respectively.


Orthopaedic Proceedings
Vol. 94-B, Issue SUPP_I | Pages 40 - 40
1 Jan 2012
Coxon A Farmer S Watson P Murray M Roper H Kaid L Greenough C
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Introduction

Previous work(1) has suggested that Spectral Colour Mapping (SCM) may have potential as an objective measurement tool for analysing Electromyography (EMG) data from spinal muscles, but the production and analysis of these maps is a complex undertaking. It would be beneficial for a system to create these maps and be useable with a minimum of training.

Methods

EMG data was recorded from 192 subjects across two years (initial contact, 12 months and 24 months). The data were analysed and SCMs produced. The 30 second test data was split into 30 one second epochs. Colour values were scaled to the individual data set maximum and divided into 12 bands according to frequency strength at a particular point. Median Frequency values were calculated for each epoch and a line of best fit added to the colour map to further aid the diagnosis process.

Maps with faulty recordings were excluded and 20 data sets from each group (BP and no BP) selected at random. Four observers were given only 5 minutes instruction and then asked to indicate whether they thought each map belonged to the LBP or no LBP group.