International Journal of Rehabilitation Research · 2017 · 11 citations · 11 references
MedicineRehabilitation MedicinePain ManagementPain MedicinePhysical DisabilitiesDisability EvaluationMusculoskeletal AssessmentPain AssessmentPain MeasurementPain-related DisabilityMusculoskeletal Pain AssessmentPain Assessment ToolsPain Disability AssessmentPain ScalesPain ScoresPain Severity AssessmentPain Severity ScalesSelf-report Pain Scales
OBJECTIVE: The aim of this study was to assess the correlation between pain severity measured on a numeric rating scale and restrictions of functioning measured with the WHO Disability Assessment Schedule (WHODAS 2.0). PATIENTS AND METHODS: This was a cross-sectional study of 1207 patients with musculoskeletal pain conditions. Correlation was assessed using Spearman's and Pearson tests. RESULTS: Although all the Spearman's rank correlations between WHODAS 2.0 items and pain severity were statistically significant, they were mostly weak, with only a few moderate associations for 'S2 household responsibilities', 'S8 washing', 'S9 dressing', and 'S12 day-to-day work'. The correlation between the WHODAS 2.0 total score and pain severity was also moderate: 0.41 [95% confidence interval (CI): 0.36-0.45] for average pain and 0.42 (95% CI: 0.37-0.46) for worst pain. The correlation between the WHODAS 2.0 total score and pain level was also assessed using Pearson's product-moment correlation, yielding figures that were similar to Spearman's correlation: 0.42 (P<0.0001, 95% CI: 0.37-0.46) for average pain and 0.39 (P<0.0001, 95% CI: 0.34-0.44) for worst pain. CONCLUSION: Among patients with chronic musculoskeletal pain, the correlation between pain severity measured by numeric rating scale and functioning level measured by WHODAS 2.0 was weak to moderate, with slightly stronger associations in physical domains of functioning.
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Normative Data for the 12 Item WHO Disability Assessment Schedule 2.0
Gavin Andrews, Alice Kemp, Matthew Sunderland et al. · PLoS ONE · 2009 · 436 citations · Full text
Does cognitive functioning predict chronic pain? Results from a prospective surgical cohort
Nadine Attal, Anne Masselin-Dubois, V. Martinez et al. · Brain · 2014 · 198 citations · Full text