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A Preliminary Risk Stratification Model for Individuals with Neck Pain
Author(s) -
Cook Chad,
Rodeghero Jason,
Cleland Joshua,
Mintken Paul
Publication year - 2015
Publication title -
musculoskeletal care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.628
H-Index - 28
eISSN - 1557-0681
pISSN - 1478-2189
DOI - 10.1002/msc.1098
Subject(s) - medicine , risk stratification , stratification (seeds) , neck pain , physical medicine and rehabilitation , alternative medicine , pathology , seed dormancy , botany , germination , dormancy , biology
Abstract Introduction The aim of the present study was to identify predictive characteristics related to patients with neck impairments who have a high risk of a poor prognosis (lowest functional recovery compared to visit utilization) as well as those who are at low risk of a poor prognosis (highest functional recovery compared to visit utilization). Methods A retrospective cohort of 3,137 patients with neck pain who were seen for physiotherapy care was included in the study. All patients were seen at physiotherapy clinics in the United States and were provided with care in a manner in which the physiotherapists felt was appropriate and necessary. Univariate and multivariate multinomial regression analyses were used to identify significant patient characteristics predictive of treatment response. Results Statistically significant predictors of high‐risk categorization included longer duration of symptoms, surgical history and lower comparative levels of disability at baseline. Statistically significant predictors of low‐risk categorization were younger age, shorter duration of symptoms, no surgical history, fewer comorbidities and higher comparative disability levels of function at baseline. Discussion Few studies have analysed risk stratification models for neck pain, and the findings of the present study suggest that predictors of poor success are similar to those in most musculoskeletal prognostic models. Limitations of the study included those inherent in secondary analysis and the inability to identify the diagnoses of the patients. Conclusions Future research should continue to examine the variables predictive of treatment response in patients with neck pain. Copyright © 2015 John Wiley & Sons, Ltd.