Predicting long-term functional limitations among back pain patients in primary care settings

Area of Science:

• * Clinical research
• * Health services research
• * Rehabilitation medicine

Background:

• * Back pain is a common cause of long-term functional limitations.
• * Predicting which patients will develop persistent issues is vital for effective management.
• * Previous research has explored various prognostic factors for back pain outcomes.

Purpose of the Study:

• * To identify predictors of long-term functional limitations in patients with back pain.
• * To develop and validate models for predicting high-risk individuals.
• * To assess the utility of somatization, depression, and pain measures in prognosis.

Main Methods:

• * Prospective cohort study of 1213 adult Health Maintenance Organization (HMO) enrollees with back pain.
• * One-month follow-up assessment of 100 factors, including somatization, depression, and pain.
• * Two-year modified Roland-Morris score as the primary outcome measure, analyzed using multiple regression and recursive partitioning.

Main Results:

• * Somatization, depression, functional limitations, and pain were significant predictors of two-year functional status.
• * A multiple regression model explained approximately 30% of the variance in the outcome.
• * A simple recursive partitioning model effectively identified patients at high risk for long-term limitations.

Conclusions:

• * Early assessment of somatization, depression, and pain can identify patients at risk for persistent functional limitations.
• * Both regression and recursive partitioning models demonstrate utility in predicting long-term back pain outcomes.
• * Clinical application of predictive models can guide targeted interventions for high-risk back pain patients.