We present a series of pattern analysis techniques using inpatient medical rehabilitation as an example setting, stroke as a model diagnosis, and various versions of the Functional Independence Measure-Function Related Groups as a case mix adjuster.
The pattern analytic approach uses severity-adjusted benchmarks to distinguish among groups of patients whose outcomes and resource use patterns are lower, typical, or higher than established ranges at set points in treatment.
Changing outcome and resource use patterns were illustrated for 1990,1992, and 1995 discharges (n=34,734).
These pattern analytic approaches are applicable to any postacute care rehabilitation setting, assuming the availability of an appropriate case mix adjuster and a reliable patient information system.
These techniques provide clinicians with tools to help maintain quality in this era of managed care.
Mots-clés Pascal : Accident cérébrovasculaire, Complication, Incapacité, Evolution, Réhabilitation, Classification, Mesure, Echelle évaluation, Amélioration, Article synthèse, Homme, Système nerveux pathologie, Système nerveux central pathologie, Encéphale pathologie, Cérébrovasculaire pathologie, Appareil circulatoire pathologie, Vaisseau sanguin pathologie, Réadaptation physique
Mots-clés Pascal anglais : Stroke, Complication, Disability, Evolution, Rehabilitation, Classification, Measurement, Evaluation scale, Improvement, Review, Human, Nervous system diseases, Central nervous system disease, Cerebral disorder, Cerebrovascular disease, Cardiovascular disease, Vascular disease, Physical rehabilitation
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0311196
Code Inist : 002B26I. Création : 27/11/1998.