A Preliminary Risk Stratification Model for Individuals with Neck Pain

Area of Science:

• Physiotherapy
• Musculoskeletal Health
• Prognostic Modeling

Background:

• Neck pain affects many individuals seeking physiotherapy.
• Risk stratification models are crucial for predicting patient outcomes.
• Understanding predictors of recovery is essential for tailored treatment.

Purpose of the Study:

• To identify patient characteristics associated with high and low risk of poor prognosis in neck pain.
• To analyze predictors of functional recovery and visit utilization in physiotherapy patients.
• To develop a risk stratification model for neck pain management.

Main Methods:

• Retrospective cohort study of 3,137 physiotherapy patients with neck pain.
• Inclusion of patients receiving physiotherapy in the United States.
• Application of univariate and multivariate multinomial regression analyses.

Main Results:

• Predictors of high-risk prognosis included longer symptom duration, surgical history, and lower baseline disability.
• Predictors of low-risk prognosis included younger age, shorter symptom duration, no surgical history, fewer comorbidities, and higher baseline disability.
• Identified key patient characteristics influencing neck pain treatment response.

Conclusions:

• Predictors of poor prognosis in neck pain are similar to other musculoskeletal conditions.
• The study highlights the importance of baseline characteristics in predicting physiotherapy outcomes.
• Further research is needed to refine prognostic variables for neck pain management.