Suppr超能文献

STEP学习协作项目:一个针对首发精神病的全州性学习型医疗系统(LHS)。

The STEP Learning Collaborative: A statewide Learning Healthcare System (LHS) for first episode psychosis.

作者信息

Yoviene Sykes Laura A, Levine Nina, Tayfur Sümeyra N, Gibbs-Dean Toni, Hazan Hadar, Imetovski Shannon, James Josina, Karmani Sneha, Mathis Walter S, Markovich Philip, Purushothaman Deepa, Riley Sarah, Tek Cenk, Veillette Carrie, Cahill John D, Giard Julienne, Marracino Amy, Barrette Kyle, Bozak Stephanie, Gregory Francis, McDermott Glen, Srihari Vinod H

机构信息

Program for Specialized Treatment Early in Psychosis (STEP), Department of Psychiatry, Yale University School of Medicine & Connecticut Mental Health Center (CMHC), New Haven, CT, USA.

Program for Specialized Treatment Early in Psychosis (STEP), Department of Psychiatry, Yale University School of Medicine & Connecticut Mental Health Center (CMHC), New Haven, CT, USA.

出版信息

Schizophr Res. 2025 Apr;278:96-108. doi: 10.1016/j.schres.2025.03.029. Epub 2025 Mar 24.

Abstract

The STEP Learning Collaborative (STEP-LC) is Connecticut's statewide learning healthcare system (LHS) for individuals aged 16-35 with recent-onset schizophrenia-spectrum disorders. The goal of the STEP-LC is to ensure that all individuals with schizophrenia have the opportunity to lead fulfilling lives by facilitating rapid access to high-quality treatment during the critical early stages of illness. STEP-LC emphasizes improving local pathways to care, reducing the Duration of Untreated Psychosis, and enhancing population health outcomes. The STEP-LC is a model implementation of a statewide learning health system for recent-onset schizophrenia spectrum disorders. This paper provides a detailed account of the rationale, design and ongoing implementation of the LHS. Several core workstreams organize the activities of the statewide system: workforce development, early detection, informatics, stakeholder engagement, sustainability and care model refinement. The STEP-LC has demonstrated notable initial success in creating a robust system of care for early psychosis across Connecticut. It has implemented comprehensive workstreams to address critical gaps in workforce readiness and information. By leveraging informatics and continuous quality improvement workflows, STEP-LC aims to meet or exceed international benchmarks for access and outcomes of care. Ongoing efforts are focused on further refining care models, sustaining best practices, and strengthening integration with state services through targeted policy advocacy and coordination. This paper serves as a practical guide for those planning to build LHSs in their regions, offering detailed implementation insights to take readers 'behind the scenes' and providing accessible tools for operationalization.

摘要

STEP学习协作项目(STEP-LC)是康涅狄格州为16至35岁近期发病的精神分裂症谱系障碍患者建立的全州性学习型医疗系统(LHS)。STEP-LC的目标是通过在疾病关键早期阶段促进快速获得高质量治疗,确保所有精神分裂症患者都有机会过上充实的生活。STEP-LC强调改善当地的就医途径,缩短未治疗精神病的持续时间,并提高人群健康结果。STEP-LC是近期发病的精神分裂症谱系障碍全州性学习型医疗系统的一个示范项目。本文详细介绍了该学习型医疗系统的基本原理、设计和正在进行的实施情况。几个核心工作流程组织了全州系统的活动:劳动力发展、早期检测、信息学、利益相关者参与、可持续性和护理模式优化。STEP-LC在为康涅狄格州早期精神病患者创建一个强大的护理系统方面已取得显著的初步成功。它实施了全面的工作流程,以解决劳动力准备和信息方面的关键差距。通过利用信息学和持续质量改进工作流程,STEP-LC旨在达到或超过护理可及性和结果的国际基准。正在进行的努力集中在进一步优化护理模式、维持最佳实践,并通过有针对性的政策倡导和协调加强与州服务的整合。本文为那些计划在其所在地区建立学习型医疗系统的人提供了一份实用指南,提供详细的实施见解,带领读者“深入幕后”,并提供便于操作的工具。

相似文献

8
Critical Care Network in the State of Qatar.卡塔尔国重症监护网络。
Qatar Med J. 2019 Nov 7;2019(2):2. doi: 10.5339/qmj.2019.qccc.2. eCollection 2019.

本文引用的文献

3
The science of Learning Health Systems: Foundations for a new journal.学习型健康系统科学:一本新期刊的基础
Learn Health Syst. 2016 Nov 29;1(1):e10020. doi: 10.1002/lrh2.10020. eCollection 2017 Jan.
4
Transforming the Treatment of Schizophrenia in the United States: The RAISE Initiative.美国精神分裂症治疗模式的转变:RAISE 倡议。
Annu Rev Clin Psychol. 2018 May 7;14:237-258. doi: 10.1146/annurev-clinpsy-050817-084934. Epub 2018 Jan 12.
8
Review of the operational definition for first-episode psychosis.首发精神病的操作性定义综述。
Early Interv Psychiatry. 2009 Nov;3(4):259-65. doi: 10.1111/j.1751-7893.2009.00148.x.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验