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. Author manuscript; available in PMC: 2016 May 22.
Published in final edited form as: Med Care. 2010 Nov;48(11):1007–1014. doi: 10.1097/MLR.0b013e3181eaf835

Table 3. Accuracy of Pain Measures for Detecting Improvement in Randomized Trial and Observational Cohort Groups.

Accuracy for Detecting any Improvement Accuracy for Detecting Moderate Improvement*


Randomized Trial
AUC (SE)
Observational Cohort
AUC (SE)
Randomized Trial
AUC (SE)
Observational Cohort
AUC (SE)
BPI severity 0.81 (0.036) 0.83 (0.032) 0.85 (0.035) 0.81 (0.038)
BPI interference 0.78 (0.040) 0.70 (0.043) 0.77 (0.046) 0.67 (0.052)
BPI total 0.81 (0.038) 0.78 (0.036) 0.81 (0.042) 0.76 (0.044)
PEG 0.78 (0.038) 0.73 (0.040) 0.79 (0.042) 0.70 (0.050)
CPG intensity 0.78 (0.039) 0.75 (0.043) 0.82 (0.040) 0.73 (0.055)
CPG disability 0.75 (0.040) 0.65 (0.044) 0.76 (0.043) 0.66 (0.053)
Roland disability 0.81 (0.037) 0.70 (0.044) 0.85 (0.038) 0.70 (0.050)
SF bodily pain 0.72 (0.044) 0.68 (0.046) 0.77 (0.043) 0.70 (0.054)

AUC is probability of correctly discriminating between patients who have improved and those who have not.

*

Moderate improvement = global rating of “moderately,” “a lot,” or “completely” better.

AUC indicates area under the receiver operating characteristic curve; BPI, brief pain inventory; CPG, chronic pain grade; SF, Medical Outcomes Study Short Form-36; SE, standard error.