Responsiveness and minimal important change of the Pain Catastrophizing Scale in people with chronic low back pain undergoing multidisciplinary rehabilitation
| Autor: | Barbara Rocca, Marcello Campagna, Igor Portoghese, Andrea Giordano, Franco Franchignoni, Marco Monticone |
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| Rok vydání: | 2022 |
| Předmět: |
medicine.medical_specialty
Psychometrics medicine.medical_treatment Population Physical Therapy Sports Therapy and Rehabilitation Context (language use) Article Disability Evaluation Surveys and Questionnaires medicine Humans education education.field_of_study Rehabilitation Receiver operating characteristic business.industry Catastrophization Area under the curve Confidence interval ROC Curve Physical therapy Pain catastrophizing Observational study Chronic Pain business Low Back Pain |
| Zdroj: | Eur J Phys Rehabil Med |
| ISSN: | 1973-9095 1973-9087 |
| DOI: | 10.23736/s1973-9087.21.06729-0 |
| Popis: | BACKGROUND: The Pain Catastrophizing Scale (PCS), a widely used tool to assess catastrophizing related to spinal disorders, shows valid psychometric properties in general but the minimal important change (MIC) is still not determined. AIM: The aim of this study was to assess responsiveness and MIC of the PCS in individuals with chronic low back pain (LBP) undergoing multidisciplinary rehabilitation. DESIGN: Prospective observational study. SETTING: The setting was outpatient rehabilitation hospital. POPULATION: Two hundred and five patients with chronic LBP. METHODS: Before and after an 8-week multidisciplinary rehabilitation program, 205 patients completed the Italian version of the PCS (PCS-I). We calculated the PCS-I responsiveness by distribution-based methods (effect size [ES], standardized response mean [SRM], and minimum detectable change [MDC]) and anchor-based methods [receiver operating characteristic (ROC) curves]. After the program, participants completed a 7-point global perceived effect scale (GPE), based on which they were classified as “improved” vs. “stable.” ROC curves computed the best cut-off level (taken as the MIC) between the two groups. ROC analysis was also performed on subgroups according to patients’ baseline PCS scores. RESULTS: ES, SRM and MDC were 0.71, 0.67 and 7.73, respectively. ROC analysis yielded an MIC of 8 points (95% confidence interval [CI]: 6-10; area under the curve [AUC]: 0.88). ROC analysis of the PCS subgroups confirmed an MIC of 8 points (95%CI: 6-10) for no/low catastrophizers (score 30, N.=33; AUC: 0.84). CONCLUSIONS: The PCS-I showed good ability to detect patient-perceived clinical changes in chronic LBP postrehabilitation. The MIC values we determined provide a benchmark for assessing individual improvement in this clinical context. CLINICAL REHABILITATION IMPACT: The present study calculated – in a sample of people with chronic LBP – the responsiveness and MIC of the PCS. These values increase confidence in interpreting score changes, enhancing their meaningfulness for both research and clinical contexts. |
| Databáze: | OpenAIRE |
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