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

J Clin Psychiatry. 1999:60 Suppl 3:16-20; discussion 21.

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.

MeSH terms

  • Algorithms*
  • Antipsychotic Agents / economics*
  • Antipsychotic Agents / therapeutic use*
  • Bipolar Disorder / drug therapy
  • Bipolar Disorder / economics
  • Depressive Disorder / drug therapy
  • Depressive Disorder / economics
  • Drug Costs
  • Feasibility Studies
  • Health Care Costs
  • Humans
  • Mental Disorders / drug therapy*
  • Mental Disorders / economics*
  • Schizophrenia / drug therapy
  • Schizophrenia / economics
  • Texas
  • Treatment Outcome

Substances

  • Antipsychotic Agents