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Observational Study
. 2022 Jun;58(3):435-441.
doi: 10.23736/S1973-9087.22.07385-3. Epub 2022 Feb 1.

Responsiveness and Minimal Important Change of the Quebec Back Pain Disability Scale in Italian patients with chronic low back pain undergoing multidisciplinary rehabilitation

Affiliations
Observational Study

Responsiveness and Minimal Important Change of the Quebec Back Pain Disability Scale in Italian patients with chronic low back pain undergoing multidisciplinary rehabilitation

Marco Monticone et al. Eur J Phys Rehabil Med. 2022 Jun.

Abstract

Background: There is still a lack of information concerning Minimal Important Change (MIC) of the Quebec Back Pain Disability Scale (QBPDS), that limits its use for clinical and research purposes.

Aim: Evaluating responsiveness and MIC of the QBPDS in Italians with chronic low back pain (LBP).

Design: This is a methodological research based on an observational study.

Setting: Outpatient rehabilitation hospital.

Population: Two hundred and one patients with chronic LBP.

Methods: At the beginning and end of a multidisciplinary rehabilitation program, patients completed the QBPDS. At the end of treatment, they completed a 7-level global perceived effect (GPE) scale, which was split to obtain a dichotomous outcome (improved vs. stable). Responsiveness was calculated by distribution-based (effect size [ES]; standardized response mean [SRM]; minimum detectable change [MDC<inf>95</inf>]) and anchor-based methods (receiver operating characteristics [ROC] curves). ROC curves were also used to compute the MIC (based on QBPDS change score, both absolute and expressed as percentage). Correlations between the change score of the QBPDS and GPE were calculated.

Results: The ES was 0.29, the SRM was 0.43, and the MDC<inf>95</inf> was 12 points. ROC analysis of the absolute change scores showed a MIC value of 6 points, with an area under the curve (AUC), sensitivity, and specificity of 0.83 (95% CI: 0.77-0.90), 77.7% and 80.8%, respectively. ROC analysis based on the percent change score from baseline revealed a MIC of 18% with an AUC, sensitivity and specificity of 0.85 (95% CI: 0.79-0.91), 80.6% and 80.8%, respectively. Correlation between change score of the QBPDS and GPE was ρ=-0.67.

Conclusions: The QBPDS score change (expressed in both absolute value and percentage from baseline) was sensitive in detecting clinical changes in Italian subjects with chronic LBP undergoing multidisciplinary rehabilitation. In clinical practice, where absolute change is lower than MDC we recommend to rely on the MIC taking into account the percentage change from baseline condition.

Clinical rehabilitation impact: The present study investigated the responsiveness and MIC of the QBPDS in a group of patients with chronic LBP. Our findings showed that the QBPDS score may classify with good to excellent discriminatory accuracy subjects who consider themselves as improved. Where examining change, we recommend considering both MICs we provided (expressing score change both in absolute value and as a percentage from baseline), and disregard values lower than MDC<inf>95</inf>, not being discernible from measurement error.

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Conflict of interest statement

Conflicts of interest.—The authors certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.

Figures

Figure 1
Figure 1
—Receiver-operating-characteristic curves of the QBPDS (N.=181), showing its overall accuracy in identifying a meaningful improvement (based on absolute change score from baseline), according to the GPE at post-treatment (GPE 0 and 1 vs. GPE 2 and 3) AUC=0.83 (95% CI: 0.75-0.90). For the optimal cut-off of 6 points: 77.7% sensitivity, 80.8% specificity and 78.1% accuracy.
Figure 2
Figure 2
—Receiver-operating-characteristic curves of the QBPDS (N.=181), showing its overall accuracy in identifying a meaningful improvement (based on the percent change score from baseline), according to the GPE at post-treatment (GPE 0 and 1 vs. GPE 2 and 3) AUC=0.85 (95% CI: 0.79-0.91). For the optimal cut-off point of 18%: 80.6% sensitivity, 80.8% specificity and 79.5% accuracy.

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