Predicting long-term functional limitations among back pain patients in primary care settings.
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 prodictors 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.
Mots-clés Pascal : Rachialgie, Déficit fonctionnel, Capacité fonctionnelle, Facteur prédictif, Long terme, Homme, Soin santé primaire, Modèle régression, Risque élevé, Douleur, Système ostéoarticulaire pathologie, Rachis pathologie
Mots-clés Pascal anglais : Rachialgia, Functional deficit, Functional capacity, Predictive factor, Long term, Human, Primary health care, Regression model, High risk, Pain, Diseases of the osteoarticular system, Spine disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0259588
Code Inist : 002B15F. Création : 11/06/1997.