The short-form Orebro Musculoskeletal Pain Questionnaire (OMPQ-10): Associations with determinants of health and demographics in a musculoskeletal pain cohort

2020 ◽  
Vol 38 ◽  
pp. 11-17
Author(s):  
Brett Vaughan ◽  
Kylie Fitzgerald ◽  
Michael Flesichmann ◽  
Jane Mulcahy
2021 ◽  
Vol 28 (10) ◽  
pp. 1-12
Author(s):  
Şule Şimşek ◽  
Nesrin Yağcı ◽  
Hande Şenol

Background/aims The Örebro Musculoskeletal Pain Questionnaire is categorised as a ‘yellow flag’ pain-associated psychological distress screening tool, which predicts long-term disability. The aim of this study was to assess the validity and reliability of the Turkish translation of the Örebro Musculoskeletal Pain Questionnaire in patients with acute and subacute neck pain. Methods The test–retest reliability and internal consistency were assessed with the intraclass correlation coefficient and Cronbach's α. Construct validity was assessed with a visual analogue scale, the Neck Disability Index and the Fear Avoidance Belief Questionnaire. Results Cronbach's α value was found to be 0.790, test–retest reliability was 0.99. The intraclass correlation coefficient was 0.999 (95% confidence interval: 0.998–0.999; P=0.000). The Örebro Musculoskeletal Pain Questionnaire showed a moderate positive correlation with the Neck Disability Index (r=0.544; P=0.0001), a weak correlation with the Fear Avoidance Belief Questionnaire (r=0.264; P=0.0001) but no correlation with the visual analogue scale. Conclusions The Turkish version of the Örebro Musculoskeletal Pain Questionnaire is a valid, reliable and acceptable screening tool in patients with acute and subacute neck pain.


Author(s):  
Eloi Gergelé ◽  
Eric Parent ◽  
Douglas P. Gross

BACKGROUND: Accurate clinical decision support tools may help clinicians select appropriate interventions for patients with spinal conditions. The Orebro Musculoskeletal Pain Questionnaire (OMPQ) is a screening questionnaire extensively studied as a predictive tool. The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed to help select interventions for injured workers. OBJECTIVE: To compare the classification accuracy of the OMPQ and WATT to clinician recommendations for selecting interventions leading to a successful return to work in patients with spinal conditions. METHODS: A secondary analysis was undertaken of data from injured workers with spinal conditions assessed between 2013 and 2016. We considered it a success if the workers did not receive wage replacement benefits 30 days after assessment. Analysis included positive likelihood ratio (LR+) as an indicator of predictive accuracy. RESULTS: Within the database, 2,872 patients had complete data on the OMPQ, WATT, and clinician recommendations. At 30 days, the OMPQ was most accurate for identifying treatments that lead to successful outcomes with a LR+= 1.51 (95% Confidence Interval 1.26–1.82) compared to 1.05 (95% Confidence Interval 1.02–1.09) for clinicians, and 0.85 (95% Confidence Interval 0.79–0.91) for the WATT. CONCLUSIONS: All tool recommendations had poor accuracy, however the OMPQ demonstrated significantly better results.


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