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Development and content validity of a rating scale for the pain and disability drivers management model
BACKGROUND: Establishing the biopsychosocial profile of patients with low back pain (LBP) is essential to personalized care. The Pain and Disability Drivers Management model (PDDM) has been suggested as a useful framework to help clinicians establish this biopsychosocial profile. Yet, there is no to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107946/ https://www.ncbi.nlm.nih.gov/pubmed/35570310 http://dx.doi.org/10.1186/s40945-022-00137-2 |
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author | Naye, Florian Décary, Simon Tousignant-Laflamme, Yannick |
author_facet | Naye, Florian Décary, Simon Tousignant-Laflamme, Yannick |
author_sort | Naye, Florian |
collection | PubMed |
description | BACKGROUND: Establishing the biopsychosocial profile of patients with low back pain (LBP) is essential to personalized care. The Pain and Disability Drivers Management model (PDDM) has been suggested as a useful framework to help clinicians establish this biopsychosocial profile. Yet, there is no tool to facilitate its integration into clinical practice. Thus, the aim of this study is to develop a rating scale and validate its content, to rapidly establish the patient’s biopsychosocial profile, based on the five domains of the PDDM. METHODS: The tool was developed in accordance with the principles of the COSMIN methodology. We conducted three steps: 1) item generation from a comprehensive review, 2) refinement of the scale with clinicians’ feedback, and 3) statistical analyses to assess content validity. To validate the item assessing with Likert scales, we performed Item level-Content Validity Index (I-CVI) analyses on three criteria (clarity, presentation and clinical applicability) with an a priori threshold of > 0.78. We conducted Average-Content Validity Index (Ave-CVI) analyses to validate the overall scale with a threshold of > 0.9. RESULTS: In accordance with the PDDM, we developed a 5-item rating scale (1 per domain) with 4 score options. We selected clinical instruments to screen for the presence or absence of problematic issues within each category of the 5 domains. Forty-two participants provided feedback to refine the scale’s clarity, presentation, and clinical applicability. The statistical analysis of the latest version presented I-CVI above the threshold for each item (I-CVI ranged between 0.94 and 1). Analysis of the overall scale supported its validation (Ave-CVI = 0.96 [0.93;0.98]). CONCLUSION: From the 51 biopsychosocial elements contained within the 5 domains of the PDDM, we developed a rating scale that allows to rapidly screen for problematic issues within each category of the PDDM’s 5 domains. Involving clinicians in the process allowed us to validate the content of the first scale to establish the patient’s biopsychosocial profile for people with low back pain. Future steps will be necessary to continue the psychometric properties analysis of this rating scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40945-022-00137-2. |
format | Online Article Text |
id | pubmed-9107946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91079462022-05-16 Development and content validity of a rating scale for the pain and disability drivers management model Naye, Florian Décary, Simon Tousignant-Laflamme, Yannick Arch Physiother Research Article BACKGROUND: Establishing the biopsychosocial profile of patients with low back pain (LBP) is essential to personalized care. The Pain and Disability Drivers Management model (PDDM) has been suggested as a useful framework to help clinicians establish this biopsychosocial profile. Yet, there is no tool to facilitate its integration into clinical practice. Thus, the aim of this study is to develop a rating scale and validate its content, to rapidly establish the patient’s biopsychosocial profile, based on the five domains of the PDDM. METHODS: The tool was developed in accordance with the principles of the COSMIN methodology. We conducted three steps: 1) item generation from a comprehensive review, 2) refinement of the scale with clinicians’ feedback, and 3) statistical analyses to assess content validity. To validate the item assessing with Likert scales, we performed Item level-Content Validity Index (I-CVI) analyses on three criteria (clarity, presentation and clinical applicability) with an a priori threshold of > 0.78. We conducted Average-Content Validity Index (Ave-CVI) analyses to validate the overall scale with a threshold of > 0.9. RESULTS: In accordance with the PDDM, we developed a 5-item rating scale (1 per domain) with 4 score options. We selected clinical instruments to screen for the presence or absence of problematic issues within each category of the 5 domains. Forty-two participants provided feedback to refine the scale’s clarity, presentation, and clinical applicability. The statistical analysis of the latest version presented I-CVI above the threshold for each item (I-CVI ranged between 0.94 and 1). Analysis of the overall scale supported its validation (Ave-CVI = 0.96 [0.93;0.98]). CONCLUSION: From the 51 biopsychosocial elements contained within the 5 domains of the PDDM, we developed a rating scale that allows to rapidly screen for problematic issues within each category of the PDDM’s 5 domains. Involving clinicians in the process allowed us to validate the content of the first scale to establish the patient’s biopsychosocial profile for people with low back pain. Future steps will be necessary to continue the psychometric properties analysis of this rating scale. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40945-022-00137-2. BioMed Central 2022-05-16 /pmc/articles/PMC9107946/ /pubmed/35570310 http://dx.doi.org/10.1186/s40945-022-00137-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Naye, Florian Décary, Simon Tousignant-Laflamme, Yannick Development and content validity of a rating scale for the pain and disability drivers management model |
title | Development and content validity of a rating scale for the pain and disability drivers management model |
title_full | Development and content validity of a rating scale for the pain and disability drivers management model |
title_fullStr | Development and content validity of a rating scale for the pain and disability drivers management model |
title_full_unstemmed | Development and content validity of a rating scale for the pain and disability drivers management model |
title_short | Development and content validity of a rating scale for the pain and disability drivers management model |
title_sort | development and content validity of a rating scale for the pain and disability drivers management model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107946/ https://www.ncbi.nlm.nih.gov/pubmed/35570310 http://dx.doi.org/10.1186/s40945-022-00137-2 |
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