Skip to main content
Journal cover image

Deciphering classification systems for neck pain—Understanding the content of classification systems to enhance physiotherapy management of neck pain

Publication ,  Journal Article
Gerard, T; Naye, F; Langevin, P; Decary, S; Cook, C; Tousignant-Laflamme, Y
Published in: Musculoskeletal Care
March 1, 2024

Background: Neck pain is a prevalent and disabling condition. Conservative management of this condition has shown only moderate effects. A solution to improve treatment effectiveness is to sub-group patients into a classification system (CS) that allows for more personalised care. However, current stratification methods have only shown short-term efficacy for pain. Given the limitations of these tools, it is pertinent to understand how these CSs are composed to be able to propose alternative patient management solutions. Objective: To identify and examine the different components of classification systems specific to patients with neck-related conditions. Method: A systematic literature search was performed on 3 databases (PubMed, Scopus and CINAHL). Only systematic reviews, with or without meta-analysis, and scoping reviews reporting CS with associated treatment for neck pain were included. Bias evaluation was performed through risk of bias in systematic review tools. Results: From the search strategy, 741 citations were retrieved, and seven studies were included. From these studies, 37 CS with associated treatments were extracted. Mobilisations showed that 64% were constructed using physical findings, 61% of CS were guided by symptom modulation, 25% used results of self-reported questionnaire, 14% used individual characteristics, 14% incorporated cognitive findings, 8% used neurological findings, 3% used results of medical diagnostic test, and 3% incorporated environmental findings. Fear-avoidance beliefs was the only cognitive parameter considered among CS. Conclusion: This study shows that existing classification systems for neck pain are limited and lack coverage of all potential drivers of pain and disability. The lack of recognition of psychosocial and pain neuroscience parameters may partly explain the limited effectiveness of these tools.

Duke Scholars

Published In

Musculoskeletal Care

DOI

EISSN

1557-0681

ISSN

1478-2189

Publication Date

March 1, 2024

Volume

22

Issue

1

Related Subject Headings

  • Arthritis & Rheumatology
  • 4205 Nursing
  • 1110 Nursing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Gerard, T., Naye, F., Langevin, P., Decary, S., Cook, C., & Tousignant-Laflamme, Y. (2024). Deciphering classification systems for neck pain—Understanding the content of classification systems to enhance physiotherapy management of neck pain. Musculoskeletal Care, 22(1). https://doi.org/10.1002/msc.1855
Gerard, T., F. Naye, P. Langevin, S. Decary, C. Cook, and Y. Tousignant-Laflamme. “Deciphering classification systems for neck pain—Understanding the content of classification systems to enhance physiotherapy management of neck pain.” Musculoskeletal Care 22, no. 1 (March 1, 2024). https://doi.org/10.1002/msc.1855.
Gerard T, Naye F, Langevin P, Decary S, Cook C, Tousignant-Laflamme Y. Deciphering classification systems for neck pain—Understanding the content of classification systems to enhance physiotherapy management of neck pain. Musculoskeletal Care. 2024 Mar 1;22(1).
Gerard, T., et al. “Deciphering classification systems for neck pain—Understanding the content of classification systems to enhance physiotherapy management of neck pain.” Musculoskeletal Care, vol. 22, no. 1, Mar. 2024. Scopus, doi:10.1002/msc.1855.
Gerard T, Naye F, Langevin P, Decary S, Cook C, Tousignant-Laflamme Y. Deciphering classification systems for neck pain—Understanding the content of classification systems to enhance physiotherapy management of neck pain. Musculoskeletal Care. 2024 Mar 1;22(1).
Journal cover image

Published In

Musculoskeletal Care

DOI

EISSN

1557-0681

ISSN

1478-2189

Publication Date

March 1, 2024

Volume

22

Issue

1

Related Subject Headings

  • Arthritis & Rheumatology
  • 4205 Nursing
  • 1110 Nursing