Chiles J A, Miller A L, Crismon M L, Rush A J, Krasnoff A S, Shon S S
Department of Psychiatry, University of Texas Health Science Center, San Antonio 78284-7792, USA.
Psychiatr Serv. 1999 Jan;50(1):69-74. doi: 10.1176/ps.50.1.69.
The Texas Medication Algorithm Project is a program designed to improve the quality of care of persons with serious mental disorders across sites in the Texas public mental health system and to create a uniform clinical environment from which cost estimates can be made. This paper describes the process of developing a pharmacological treatment algorithm for schizophrenia that addresses use of antipsychotics as well as other medications for side effects and co-existing symptoms. Input from clinicians, consultants, and consumers informed development of the algorithm, which was based on existing expert consensus guidelines. Information about the project can be found on the Internet at www.mhmr.state.tx.us/meds/tmap.htm. The authors present and describe the original and current versions of the algorithm, outline the feedback process by which it will be refined, and discuss how new medications will be incorporated as they enter the market.
德克萨斯药物治疗算法项目是一个旨在提高德克萨斯州公共心理健康系统各机构中严重精神障碍患者护理质量，并创建一个能进行成本估算的统一临床环境的项目。本文描述了为精神分裂症开发药物治疗算法的过程，该算法涉及抗精神病药物的使用以及用于治疗副作用和并存症状的其他药物。临床医生、顾问和消费者的意见为该算法的开发提供了参考，该算法基于现有的专家共识指南。有关该项目的信息可在互联网上www.mhmr.state.tx.us/meds/tmap.htm查询。作者展示并描述了该算法的原始版本和当前版本，概述了将对其进行完善的反馈过程，并讨论了新药物进入市场时将如何被纳入其中。
