With increasing interest in revising the mechanisms of health care funding, the ability to anticipate patients'medical expenditures as well as to identify potentially modifiable predictors would be informative for health care providers, payers, and policy makers.
Eight hundred fifty-eight patients with rheumatoid arthritis from 2 Canadian centers reported semi-annually on their health services utilization and health status for up to 12 years.
Annual direct costs were calculated using 1994 Canadian prices.
Regression models for the variation in total direct costs and the individual resource components (i.e., physicians, tests, medications, acute and non-acute hospital care) were estimated using previous values of age, sex, disease duration, education, methotrexate availability, employment status, global well being, pain, duration of morning stiffness, and functional disability as predictor variables.
The models were developed using all available data except the last 2 observations (i.e., data collected on the last 2 self-report questionnaires) from each patient, which were reserved for model validation.
The predictive abilities of the models were assessed by comparing the most recent costs with those predicted by the model using values of the predictor variables from the previous time period. (...)
Mots-clés Pascal : Polyarthrite rhumatoïde, Homme, Symptomatologie, Epidémiologie, Facteur prédictif, Analyse coût, Incapacité, Méthodologie, Court terme, Chronique, Système ostéoarticulaire pathologie, Rhumatisme inflammatoire, Immunopathologie, Maladie autoimmune
Mots-clés Pascal anglais : Rheumatoid arthritis, Human, Symptomatology, Epidemiology, Predictive factor, Cost analysis, Disability, Methodology, Short term, Chronic, Diseases of the osteoarticular system, Inflammatory joint disease, Immunopathology, Autoimmune disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0275405
Code Inist : 002B15D. Création : 16/11/1999.