Predicting persisting disability in musculoskeletal pain patients with the STarT MSK screening tool: results from a prospective cohort study
Predicting persisting disability in musculoskeletal pain patients with the STarT MSK screening tool: results from a prospective cohort study
Background: the STarT MSK screening tool aims to categorise musculoskeletal patients into three risk groups for treatment stratification. The tool has been translated and validated into Hebrew. However, its ability to predict persistent disability in patients has yet to be evaluated.
Objective: the primary aim of this study was to assess the ability of the Hebrew version of the STarT MSK tool to predict persistent disability in patients experiencing musculoskeletal pain.
Methods: a prospective observational cohort study was conducted, recruiting 135 patients with musculoskeletal pain in five common areas: back, neck, shoulder, knee, or multisite pain over the age of 21. At the first consultation, all patients completed demographic information, the Focus On Therapeutic Outcomes (FOTO) questionnaire (function, pain, and fear avoidance score), and the STarT MSK questionnaire. The patients completed the FOTO questionnaire again at the end of the physiotherapy treatments.
Results: 25 patients (18.5%) were classified into the low-risk group, 68 patients (50.3%) into the medium-risk group, and 42 (31.1%) into the high-risk group. The baseline STarT MSK tool score demonstrated an excellent ability to identify patients at high risk of developing persistent disability (AUC = 0.795, 95% CI 0.716–0.873).
Conclusions: the Hebrew version of the STarT MSK tool can differentiate between three chronic risk groups and has high predictive validity for chronicity. This may provide a tool to assist clinicians in identifying patients who require more intensive care, and thus, potentially prevent the transition to chronic disabling pain.
Keele STarT MSK screening tool, musculoskeletal pain, persisting disability, predicting
1005-1010
Nativ, Noam
b1a361e8-74b2-457a-bdaa-d562932f83db
Pincus, Tamar
55388347-5d71-4fc0-9fd2-66fbba080e0c
Hill, Jonathan
a52ad297-562c-461d-a727-b46daf757daa
Ben Ami, Noa
99af5f24-d185-4fd7-8059-fee3baf7690d
December 2023
Nativ, Noam
b1a361e8-74b2-457a-bdaa-d562932f83db
Pincus, Tamar
55388347-5d71-4fc0-9fd2-66fbba080e0c
Hill, Jonathan
a52ad297-562c-461d-a727-b46daf757daa
Ben Ami, Noa
99af5f24-d185-4fd7-8059-fee3baf7690d
Nativ, Noam, Pincus, Tamar, Hill, Jonathan and Ben Ami, Noa
(2023)
Predicting persisting disability in musculoskeletal pain patients with the STarT MSK screening tool: results from a prospective cohort study.
Musculoskeletal Care, 21 (4), .
(doi:10.1002/msc.1776).
Abstract
Background: the STarT MSK screening tool aims to categorise musculoskeletal patients into three risk groups for treatment stratification. The tool has been translated and validated into Hebrew. However, its ability to predict persistent disability in patients has yet to be evaluated.
Objective: the primary aim of this study was to assess the ability of the Hebrew version of the STarT MSK tool to predict persistent disability in patients experiencing musculoskeletal pain.
Methods: a prospective observational cohort study was conducted, recruiting 135 patients with musculoskeletal pain in five common areas: back, neck, shoulder, knee, or multisite pain over the age of 21. At the first consultation, all patients completed demographic information, the Focus On Therapeutic Outcomes (FOTO) questionnaire (function, pain, and fear avoidance score), and the STarT MSK questionnaire. The patients completed the FOTO questionnaire again at the end of the physiotherapy treatments.
Results: 25 patients (18.5%) were classified into the low-risk group, 68 patients (50.3%) into the medium-risk group, and 42 (31.1%) into the high-risk group. The baseline STarT MSK tool score demonstrated an excellent ability to identify patients at high risk of developing persistent disability (AUC = 0.795, 95% CI 0.716–0.873).
Conclusions: the Hebrew version of the STarT MSK tool can differentiate between three chronic risk groups and has high predictive validity for chronicity. This may provide a tool to assist clinicians in identifying patients who require more intensive care, and thus, potentially prevent the transition to chronic disabling pain.
Text
start msk noa 21.4.23 (1)
- Accepted Manuscript
More information
Accepted/In Press date: 25 April 2023
e-pub ahead of print date: 7 May 2023
Published date: December 2023
Additional Information:
Funding Information:
We thank Mrs. Limor Ilouz, Head of Physiotherapy Services in Maccabi Health Services- North region, and Mr. Alaa Ghashan, Director of the Physiotherapy Clinic in Migdal HaEmek and Nof HaGalil, for their assistance and cooperation in this study. We also thank all the physiotherapists who recruited patients for our study.
Publisher Copyright:
© 2023 John Wiley & Sons Ltd.
Keywords:
Keele STarT MSK screening tool, musculoskeletal pain, persisting disability, predicting
Identifiers
Local EPrints ID: 477798
URI: http://eprints.soton.ac.uk/id/eprint/477798
ISSN: 1478-2189
PURE UUID: 6d8a0584-6b45-424d-a221-b89ce2185c45
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Date deposited: 14 Jun 2023 16:50
Last modified: 25 Apr 2024 04:01
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Contributors
Author:
Noam Nativ
Author:
Tamar Pincus
Author:
Jonathan Hill
Author:
Noa Ben Ami
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