Suppr超能文献

临床精神病学中的算法:通往康复之路的逐步方法。

Algorithms in clinical psychiatry: a stepped approach toward the path to recovery.

作者信息

Trivedi Madhukar

机构信息

Depression and Anxiety Disorders Program, University of Texas Southwestern Medical School, Dallas, Texas 75235-9101, USA.

出版信息

Psychopharmacol Bull. 2002 Summer;36 Suppl 2:142-9.

Abstract

The use of clinical practice guidelines and treatment algorithms has become increasingly prevalent across all fields of medicine. The Texas Medication Algorithm Project has developed algorithms for major depressive disorder to facilitate clinical decision-making by providing physicians with a detailed, yet concise, summary of current clinical data on available pharmacotherapeutic interventions, together with specific treatment strategies and tactical recommendations. The goal of the algorithm is the attainment of full and sustainable remission of symptoms. Clinical experts, practitioners, and administrators, as well as patients and their families, all contributed to the formulation and implementation of the algorithm in order to ensure an optimum level of effectiveness and practicality. It is hoped that algorithm-driven pharmacotherapy of depression will increase the quality of care, leading to improved patient outcomes, reducing unnecessary practice variation, and increasing the overall cost-effectiveness of treatment intervention.

摘要

临床实践指南和治疗算法的应用在医学各个领域日益普遍。德克萨斯药物算法项目已针对重度抑郁症开发了算法,通过向医生提供现有药物治疗干预措施的当前临床数据的详细而简洁的总结,以及具体的治疗策略和战术建议,来促进临床决策。该算法的目标是实现症状的完全且可持续缓解。临床专家、从业者、管理人员以及患者及其家属都为该算法的制定和实施做出了贡献,以确保达到最佳的有效性和实用性水平。希望基于算法的抑郁症药物治疗能够提高护理质量,带来更好的患者治疗效果,减少不必要的实践差异,并提高治疗干预的整体成本效益。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验