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

J Clin Epidemiol. 1997 Jan;50(1):31-43. doi: 10.1016/s0895-4356(96)00313-7.

Abstract

To identify predictors of back-related long-term functional limitations, 1213 adult enrollees of a Health Maintenance Organization (HMO) in Washington state were interviewed about a month after a consultation for back pain in a primary care setting in 1989-1990, and followed each year thereafter. Out of 100 factors documented at the one-month assessment, measures of somatization, depression, functional limitations, and pain were the strongest predictors of two-year modified Roland-Morris score among a random subsample of 569 subjects. A multiple regression model containing the Symptom Checklist Depression and Somatization scores, the one-month modified Roland-Morris score and the number of pain days in the past six months explained about 30% of the variance in the outcome. Using recursive partitioning, a very simple model was developed to identify patients at high risk of sustaining long-term significant functional limitations. The regression model and the recursive partitioning model were successfully tested in a fresh sample of patients (n = 644). Clinical application of the recursive partitioning model and methodological aspects of this study are discussed.

Publication types

  • Clinical Trial
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Analysis of Variance
  • Back Pain / classification
  • Back Pain / psychology
  • Back Pain / rehabilitation*
  • Female
  • Follow-Up Studies
  • Health Maintenance Organizations
  • Humans
  • Male
  • Mathematical Computing
  • Middle Aged
  • Models, Statistical*
  • Predictive Value of Tests
  • Primary Health Care*
  • Regression Analysis
  • Risk Factors
  • Treatment Outcome
  • Washington