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      Subgrouping low back pain: A comparison of the STarT Back Tool with the Örebro Musculoskeletal Pain Screening Questionnaire

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          Abstract

          Introduction

          Clinicians require brief, practical tools to help identify low back pain (LBP) subgroups requiring early, targeted secondary prevention. The STarT Back Tool (SBT) was recently validated to subgroup LBP patients into early treatment pathways.

          Aim

          To test the SBT’s concurrent validity against an existing, popular LBP subgrouping tool, the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ), and to compare the clinical characteristics of subgroups identified by each tool.

          Methods

          Two hundred and forty-four consecutive ‘non-specific’ LBP consulters at 8 UK GP practices aged 18–59 years were invited to complete a questionnaire. Measures included the ÖMPSQ and SBT, disability, fear, catastrophising, pain intensity, episode duration and demographics. Instruments were compared using Spearman’s correlations, tests for subgroup agreement and discriminant analysis of subgroup characteristics according to reference standards.

          Results

          Completed SBT (9-items) and ÖMPSQ (24-items) data was available for 130/244 patients (53%). The correlation of SBT and ÖMPSQ scores was ‘excellent (rs = 0.80). Subgroup characteristics were similar across the low, medium and high subgroups, but, the proportions allocated to ‘low’, ‘medium’ and ‘high’ risk groups were different, with fewer patients in the SBT’s high risk group. Both instruments similarly discriminated for reference standards such as disability, catastrophising, fear, comorbid pain and time off work. The ÖMPSQ was better at discriminating pain intensity, while the SBT was better for discriminating bothersomeness of back pain and referred leg pain.

          Conclusions

          The SBT baseline psychometrics performed similarly to the ÖMPSQ, but the SBT is shorter and easier to score and is an appropriate alternative for identifying high risk LBP patients in primary care.

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          Most cited references23

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Chapter 3. European guidelines for the management of acute nonspecific low back pain in primary care.

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              A systematic review of the predictive ability of the Orebro Musculoskeletal Pain Questionnaire.

              Systematic review. To establish the ability of the Orebro Musculoskeletal Pain Questionnaire (OMPQ) to predict outcome in patients with recent onset spinal pain. Psychosocial factors are believed to play a significant role in the development of a chronic pain problem. The OMPQ is a self-administered screening questionnaire that was developed to identify those patients with acute or subacute musculoskeletal pain who are at risk of delayed recovery. Clinical guidelines recommend its use, despite its predictive ability never having been systematically reviewed. Searches of electronic databases were undertaken. Eligible studies were those that enrolled subjects with acute or subacute spinal pain, administered the OMPQ at baseline and measured outcomes in terms of pain, disability, sick leave, and/or global recovery. Ratings of study quality and data extraction were conducted by 2 independent assessors. Seven publications (5 discreet data sets) of variable methodologic quality were included. Baseline OMPQ scores were shown to have moderate ability in predicting long-term pain, disability, and sick leave outcomes. For example, the area under the curve values for predicting persisting pain ranged from 0.62 to 0.75 and for persisting disability from 0.68 to 0.83. The OMPQ has moderate predictive ability in identifying patients with spinal pain at risk of persisting pain and disability. This evidence supports clinical guidelines recommending its use as an assessment tool for identifying psychosocial risk factors. Further research is needed to confirm the predictive ability of individual items in different populations and settings, to enhance its usefulness.
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                Author and article information

                Journal
                Eur J Pain
                Eur J Pain
                European Journal of Pain (London, England)
                Wiley
                1090-3801
                1532-2149
                January 2010
                January 2010
                : 14
                : 1
                : 83-89
                Affiliations
                Arthritis Research Campaign National Primary Care Centre, Primary Care Sciences, Keele University, Keele, Staffordshire ST5 5BG, United Kingdom
                Author notes
                [* ]Corresponding author. Tel.: +44 01782 733900; fax: +44 01782 733911. j.hill@ 123456cphc.keele.ac.uk
                Article
                YEUJP1072
                10.1016/j.ejpain.2009.01.003
                2809923
                19223271
                4c5e28b7-9184-42cb-9a45-e51e4dfd0e0d
                © 2010 Elsevier Ltd.

                This document may be redistributed and reused, subject to certain conditions.

                History
                : 3 July 2008
                : 11 December 2008
                : 13 January 2009
                Categories
                Article

                Anesthesiology & Pain management
                primary care,psychological factors,low back pain,early identification,classification

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