To investigate whether the duration of pain has an influence on the clinical outcomes of patients with low back pain (LBP) managed through the North East of England Regional Back Pain and Radicular Pain Pathway (NERBPP). The NERBPP is a clinical pathway based upon NICE guidelines (2009) for LBP. Patients with LBP referred onto the NERBPP by their General Practitioner (GP) between May 2015 and January 2017 were included in this evaluation. Data from 635 patients, who provided pre and post data for pain (Numerical rating scale [NRS]), function (Oswestry Disability Index [ODI]) and quality-of-life (EuroQol [EQ5D]), were analysed using a series of covariate adjusted models in SPSS. Patients were categorised into four groups based upon pain duration: <3months, ≥3 to <6months, ≥6months to <12months, ≥12months.Aims
Patients and Methods
The BACK To Health programme is part of the wider North of England back pain and radicular pain pathway. The purpose of this programme is to provide a CPPP approach based on the NICE guidelines CG88 for those with back pain that has not responded to early management and simpler therapies. The purpose of this study is to present preliminary results of this programme. Referral onto the programme occurred through triage and treat practitioners or consultant clinics. A total of 44 patients were referred, with 31 attending the programme. The programme was delivered as a 3 week residential programme, with patients present 9am-5pm Monday to Thursday. A MDT provided an intense programme consisting of education, physical exercise, practical coping strategies and group discussion. The work has received ethical approval from the School of Health and Social Care Research Ethics and Governance committee at Teesside University.Background
Method
It has previously been reported ( EMG data was recorded from 192 subjects across two years (initial contact, 12 months and 24 months). The data were analysed and the spectral half-widths calculated. The ICA method was then applied to the original raw data. As the power spectrum of ECG runs from 0-20Hz the resultant spectra were analysed to calculate which of them had the most signal energy below 20Hz. A high band pass filter was used to remove all signal data below 20Hz from this independent component. This method was chosen as there was signal data present in the chosen spectrum above 20Hz which would be EMG data. Removing data only below 20Hz preserved this EMG data. The components were then re-integrated and re-analysed to calculate the new half-widths. These new half-widths were compared with the originals to generate the results.Introduction
Methods
Previous work( 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.Introduction
Methods
