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Endorsing a Biopsychosocial Perspective of Pain in Individuals With Chronic Pain: Development and Validation of a Scale.
- Source :
-
The Clinical journal of pain [Clin J Pain] 2024 Jan 01; Vol. 40 (1), pp. 35-45. Date of Electronic Publication: 2024 Jan 01. - Publication Year :
- 2024
-
Abstract
- Objectives: Patients' beliefs about pain play an important role in their readiness to engage with chronic pain self-management. The central aim of this study was to validate a self-report instrument to assess a specific set of pain beliefs, patients' endorsement of a biopsychosocial model of chronic pain Patients' Endorsement of a Biopsychosocial Model of Chronic Pain Scale (PEB).<br />Methods: Interdisciplinary experts in the field of pain were involved in creating an instrument, the PEB Scale, to operationalize patients' endorsement of a biopsychosocial pain model. A sample of 199 patients with chronic pain was recruited to evaluate the factorial structure (principal axis factoring), the internal consistency (Cronbach alpha), the convergent and discriminant validity (correlational analyses), incremental validity (multiple, hierarchical regression analyses), and construct validity (differential population analysis) of the instrument.<br />Results: The factor analysis resulted in a unidimensional, 11-item instrument that explained 51.2% of the total variance. Cronbach alpha (=0.92) indicated high internal consistency of the created set of pain-related beliefs. Regression analyses demonstrated that PEB is a strong predictor of patients' engagement with pain self-management ( P < 0.001) after controlling for demographic variables, anxiety, depression, and other pain-related beliefs.<br />Discussion: Our results show that the PEB Scale is a highly reliable self-report instrument that has the potential to predict patients' readiness to adopt pain self-management. Future research should focus on revalidating the scale to operationalize PEB. Moreover, the PEB Scale should be implemented in longitudinal study designs to investigate its ability to predict the transition from acute to chronic pain and patients' long-term pain management.<br />Competing Interests: Data collection was funded by the Dunedin School of Medicine Deans Bequest Grant 2019 and a Pain@Otago Research Theme grant (both grants were intramural, grant number is not available), University of Otago, Dunedin, New Zealand. The authors declare no conflict of interest.<br /> (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1536-5409
- Volume :
- 40
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- The Clinical journal of pain
- Publication Type :
- Academic Journal
- Accession number :
- 37819212
- Full Text :
- https://doi.org/10.1097/AJP.0000000000001163