Literature DB >> 21789527

Predictive value of the Acute Low Back Pain Screening Questionnaire and the Örebro Musculoskeletal Pain Screening Questionnaire for persisting problems.

Martin Sattelmayer1, Tobias Lorenz, Christoph Röder, Roger Hilfiker.   

Abstract

INTRODUCTION: A small proportion of individuals with non-specific low back pain (NSLBP) develop persistent problems. Up to 80% of the total costs for NSLBP are owing to chronic NSLBP. Psychosocial factors have been described to be important in the transition from acute to chronic NSLBP. Guidelines recommend the use of the Acute Low Back Pain Screening Questionnaire (ALBPSQ) and the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) to identify individuals at risk of developing persistent problems, such as long-term absence of work, persistent restriction in function or persistent pain. These instruments can be used with a cutoff value, where patients with values above the threshold are further assessed with a more comprehensive examination.
METHODS: We systematically reviewed studies evaluating the accuracy of the ALBPSQ and ÖMPSQ to predict persistent problems.
RESULTS: The 13 included studies used different cutoff values for the screening questionnaires ranging from 68 to 147. The pooled sensitivity was 0.59 (0.43-0.74), while the pooled specificity was 0.77 (0.66-0.86). Heterogeneity (I (2)) was 90.02% for sensitivity and 95.41% for specificity.
CONCLUSION: Thus, we do not recommend the use of one cutoff value, but the use of a prediction model with all the individual items.

Entities:  

Mesh:

Year:  2011        PMID: 21789527      PMCID: PMC3535213          DOI: 10.1007/s00586-011-1910-7

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  29 in total

Review 1.  An updated overview of clinical guidelines for the management of non-specific low back pain in primary care.

Authors:  Bart W Koes; Maurits van Tulder; Chung-Wei Christine Lin; Luciana G Macedo; James McAuley; Chris Maher
Journal:  Eur Spine J       Date:  2010-07-03       Impact factor: 3.134

2.  Integrating the predictiveness of a marker with its performance as a classifier.

Authors:  Margaret S Pepe; Ziding Feng; Ying Huang; Gary Longton; Ross Prentice; Ian M Thompson; Yingye Zheng
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3.  Can we screen for problematic back pain? A screening questionnaire for predicting outcome in acute and subacute back pain.

Authors:  S J Linton; K Halldén
Journal:  Clin J Pain       Date:  1998-09       Impact factor: 3.442

4.  Psychosocial variables in patients with (sub)acute low back pain: an inception cohort in primary care physical therapy in The Netherlands.

Authors:  Hans Heneweer; Geert Aufdemkampe; Maurits W van Tulder; Henri Kiers; Karel H Stappaerts; Luc Vanhees
Journal:  Spine (Phila Pa 1976)       Date:  2007-03-01       Impact factor: 3.468

5.  Early identification of patients at risk of developing a persistent back problem: the predictive validity of the Orebro Musculoskeletal Pain Questionnaire.

Authors:  Steven J Linton; Katja Boersma
Journal:  Clin J Pain       Date:  2003 Mar-Apr       Impact factor: 3.442

6.  Predictive ability of a modified Örebro Musculoskeletal Pain Questionnaire in an acute/subacute low back pain working population.

Authors:  Charles Philip Gabel; Markus Melloh; Michael Yelland; Brendan Burkett; Anne Roiko
Journal:  Eur Spine J       Date:  2010-07-15       Impact factor: 3.134

7.  Value of predictive instruments to determine persisting restriction of function in patients with subacute non-specific low back pain. Systematic review.

Authors:  Roger Hilfiker; Lucas M Bachmann; Carolin A-M Heitz; Tobias Lorenz; Harri Joronen; Andreas Klipstein
Journal:  Eur Spine J       Date:  2007-08-15       Impact factor: 3.134

8.  The ability of the Acute Low Back Pain Screening Questionnaire to predict sick leave in patients with acute neck pain.

Authors:  Cees J Vos; Arianne P Verhagen; Bart W Koes
Journal:  J Manipulative Physiol Ther       Date:  2009 Mar-Apr       Impact factor: 1.437

9.  Do psychosocial factors predict disability and health at a 3-year follow-up for patients with non-acute musculoskeletal pain? A validation of the Orebro Musculoskeletal Pain Screening Questionnaire.

Authors:  A Westman; S J Linton; J Ohrvik; P Wahlén; J Leppert
Journal:  Eur J Pain       Date:  2007-12-20       Impact factor: 3.931

Review 10.  Combining scores from different patient reported outcome measures in meta-analyses: when is it justified?

Authors:  Milo A Puhan; Irene Soesilo; Gordon H Guyatt; Holger J Schünemann
Journal:  Health Qual Life Outcomes       Date:  2006-12-07       Impact factor: 3.186

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  8 in total

1.  Construct and predictive validity of the German Örebro questionnaire short form for psychosocial risk factor screening of patients with low back pain.

Authors:  Carsten Oliver Schmidt; T Kohlmann; M Pfingsten; G Lindena; U Marnitz; K Pfeifer; J F Chenot
Journal:  Eur Spine J       Date:  2015-08-27       Impact factor: 3.134

2.  [Comparison of two screening questionnaires for patients with low back pain. Collation of risk factors for chronification].

Authors:  C O Schmidt; G Lindena; M Pfingsten; T Kohlmann; J-F Chenot
Journal:  Schmerz       Date:  2014-08       Impact factor: 1.107

3.  Early Workplace Communication and Problem Solving to Prevent Back Disability: Results of a Randomized Controlled Trial Among High-Risk Workers and Their Supervisors.

Authors:  Steven J Linton; Katja Boersma; Michal Traczyk; William Shaw; Michael Nicholas
Journal:  J Occup Rehabil       Date:  2016-06

4.  Cross-cultural adaptation of the 12-item Örebro musculoskeletal screening questionnaire to Japanese (ÖMSQ-12-J), reliability and clinicians' impressions for practicality.

Authors:  Hiroshi Takasaki; Charles Philip Gabel
Journal:  J Phys Ther Sci       Date:  2017-08-10

5.  SheppHeartCABG trial-comprehensive early rehabilitation after coronary artery bypass grafting: a protocol for a randomised clinical trial.

Authors:  Ida Elisabeth Højskov; Philip Moons; Niels Viggo Hansen; Søren La Cour; Peter Skov Olsen; Christian Gluud; Per Winkel; Jane Lindschou; Lau Caspar Thygesen; Ingrid Egerod; Selina Kikkenborg Berg
Journal:  BMJ Open       Date:  2017-01-17       Impact factor: 2.692

Review 6.  Multidimensional screening for predicting pain problems in adults: a systematic review of screening tools and validation studies.

Authors:  Elke Veirman; Dimitri M L Van Ryckeghem; Annick De Paepe; Olivia J Kirtley; Geert Crombez
Journal:  Pain Rep       Date:  2019-09-11

7.  Prediction of sickness absenteeism, disability pension and sickness presenteeism among employees with back pain.

Authors:  Gunnar Bergström; Jan Hagberg; Hillevi Busch; Irene Jensen; Christina Björklund
Journal:  J Occup Rehabil       Date:  2014-06

8.  Predicting Persistent Back Symptoms by Psychosocial Risk Factors: Validity Criteria for the ÖMPSQ and the HKF-R 10 in Germany.

Authors:  E Riewe; E Neubauer; A C Pfeifer; M Schiltenwolf
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

  8 in total

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