Literature DB >> 10073372

Mental health care from the public perspective: the Texas Medication Algorithm Project.

S P Shon1, M L Crismon, M G Toprac, M Trivedi, A L Miller, T Suppes, A J Rush.   

Abstract

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.

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Year:  1999        PMID: 10073372

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  2 in total

1.  An expanded version of the Multnomah Community Ability Scale: anchors and interview probes for the assessment of adults with serious mental illness.

Authors:  Faith B Dickerson; Andrea E Origoni; Andrea Pater; Barrie K Friedman; William M Kordonski
Journal:  Community Ment Health J       Date:  2003-04

2.  Itemized clinician ratings versus global ratings of symptom severity in patients with schizophrenia.

Authors:  Kathy Shores-Wilson; Melanie M Biggs; Alexander L Miller; Thomas J Carmody; John A Chiles; A John Rush; M Lynn Crismon; Marcia G Toprac; Bradley P Witte; Joe C Webster
Journal:  Int J Methods Psychiatr Res       Date:  2002       Impact factor: 4.035

  2 in total

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