Symposium "Pharmacoeconomic Factors Related to the Treatment of Schizophrenia". Chicago, IL, USA, 1998/04/08.
Medication treatment algorithms have been suggested as a strategy to provide uniform care at predictable costs.
The Texas Medication Algorithm Project is a 3-phase study designed to provide solid data on the usefulness of medication algorithms.
In phase 1, medication algorithms for the treatment of schizophrenia, major depressive disorder, and bipolar disorder were developed.
Phase 2 was a feasibility study of these algorithms, and phase 3, now underway, compares the costs and outcome in 3 groups, one using a combination of an algorithm and patient/family education, a second using treatment as usual in a clinic that uses an algorithm for a different disorder, and a third using treatment as usual in a nonalgorithm clinic.
Mots-clés Pascal : Schizophrénie, Etude comparative, Trouble bipolaire, Etat dépressif, Chimiothérapie, Traitement, Algorithme, Arbre décision, Choix, Psychotrope, Analyse coût, Economie santé, Texas, Etats Unis, Amérique du Nord, Amérique, Homme, Psychose, Trouble humeur
Mots-clés Pascal anglais : Schizophrenia, Comparative study, Bipolar disorder, Depression, Chemotherapy, Treatment, Algorithm, Decision tree, Choice, Psychotropic, Cost analysis, Health economy, Texas, United States, North America, America, Human, Psychosis, Mood disorder
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0190275
Code Inist : 002B02B03. Création : 16/11/1999.