Connecting FEP Research and Practice through a Learning Health System

通过学习健康系统将 FEP 研究与实践联系起来

基本信息

批准号：
10674260
负责人：
MELANIE E. BENNETT
金额：
$ 17.56万
依托单位：
UNIVERSITY OF MARYLAND BALTIMORE
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-07 至 2023-08-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10674260
关键词：
Address Administrator Adolescent Adopted Baltimore Biological Response Modifier Therapy Caring Characteristics Client Clinical Clinical Research Common Data Element Communication Complex Consultations Coordinated Specialty Care Data Data Collection Data Coordinating Center Data Element Data Management Resources Development Drops Early Intervention Electronic Mail Evaluation Studies Evidence based practice Family Family member Feedback Focus Groups Funding Opportunities Glean Harm Reduction Health system Infrastructure Institutes Intervention Leadership Learning Link Maryland Measures Mental Health Modeling Monitor National Institute of Mental Health Outcome Patient-Focused Outcomes Patients Pennsylvania Practice based research Problem Solving Procedures Process Psychoses Qualitative Methods Quality of Care Recovery Reporting Research Research Personnel Research Project Grants Risk Reduction Schizophrenia Services Structure Symptoms System Tablets Testing Time To specify Training Visit Work base behavioral health care delivery care systems clinical decision-making community setting design early psychosis effective therapy evidence base experience first episode psychosis high risk improved infrastructure development insight learning network marijuana use marijuana user medication compliance motivational enhancement therapy programs psychologic psychosis risk resilience response rural setting service delivery severe mental illness standard measure suburb translational research program treatment program young adult

项目摘要

Project Summary The National Institute of Mental Health has developed the Early Psychosis Intervention Network (EPINET) to learn from the national implementation of coordinated specialty care (CSC) for first episode psychosis (FEP). We propose an EPINET node [Connection Learning Health System (LHS)] that will support uniform data collection, analysis, feedback, and infrastructure development to promote a cultural of continuous quality improvement across 14 well- established CSC programs in Maryland and Pennsylvania serving over 500 young adult clients per year in urban, suburban, and rural settings. We will implement a core assessment battery and develop a system to manage and analyze data across programs and to provide feedback to programs on patient outcomes and fidelity to the CSC model. Building on our experience in cross-state clinician training and consultation, we will expand our existing learning collaborative for CSC implementation in Maryland into a cross-state an LHS that will identify clinical questions, analyze data, and apply findings to optimize practice across all of our CSC programs. We propose a practice-based research project to adapt a motivational interviewing intervention for nontreatment-seeking heavy cannabis-using adolescents to target CSC engagement, medication adherence, and risk reduction to improve use, functioning, and recovery outcomes in FEP patients who are persistent cannabis users. We will work with the EPINET National Data Coordinating Center to implement standard measures and share common data elements to answer clinical questions to improve CSC for young adults experiencing FEP.