Methods Core

方法核心

基本信息

批准号：
10441872
负责人：
JENNIFER E JOHNSON
金额：
$ 156.35万
依托单位：
MICHIGAN STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-22 至 2027-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10441872
关键词：
Area Big Data Caring Communication Communities Consultations Criminal Justice Data Data Analyses Data Analytics Data Linkages Data Set Diffusion Educational Intervention Effectiveness Effectiveness of Interventions Electronic Health Record Ethics General Population Good Clinical Practice Health Health Services Health system Healthcare Hybrids Incubated Individual Information Systems Intercept Intervention Jail Justice Managed Care Measures Mental Health Methodology Methods Modeling Outcome Persons Pilot Projects Police Policies Population Positioning Attribute Prevention Prevention Research Prevention approach Process Productivity Public Health Reproducibility Research Research Design Research Methodology Research Personnel Research Project Grants Resources Risk Safety Services Stream Suicide Suicide prevention System Target Populations Time Training Translations Woman Work behavioral health biomedical informatics cost effectiveness cost-effectiveness evaluation data integration design economic evaluation effectiveness implementation study effectiveness testing ethnic diversity evidence base experience health care service utilization health economics health equity high risk implementation science innovation men novel novel strategies preventive intervention racial and ethnic response social metrics stakeholder perspectives standard care suicidal risk suicide model systems research translational pipeline uptake

项目摘要

The Methods Core supports a Signature Project, 3 Exploratory Projects, and 4-6 Pilot Feasibility Projects focused on health-justice big data linkage to enable effective and scalable suicide prevention approaches at justice intercepts (i.e., places behavioral health services can intercept a justice trajectory to change behavioral health outcomes). This Core provides resources to support rigorous, reproducible research that shares similar conceptual frameworks, methods, and measures. Center Methods are innovative in that they: 1. Establish a suicide prevention effectiveness evidence base for our large, high-risk target population. 2. Create an n~110,000 combined Center dataset that will be diverse and will be an asset to the field. 3. Develop, manualize, and refine strategies for scalability, sustainability, and large-scale translation, to move the field forward for these important but understudied areas of implementation science. 4. Use contact with the justice system (e.g., police contact, arrest), as a novel indicator of suicide risk in the general population (i.e., a “novel data type”) to identify at-risk individuals not well-connected with care 5. Demonstrate how health and justice system big data linkage is achieved and can be used to automate and conduct suicide risk identification and response across health and justice systems at scale. 6. Leverage the Mental Health Research Network’s (MHRN’s) methods for extracting suicide-related and healthcare utilization outcomes from claims and electronic health record (EHR) data. 7. Use sociometric identification of policy entrepreneurs to promote diffusion of Center approaches (Aim 4) 8. Partner with managed care organizations for suicide risk identification and prevention at justice intercepts 9. Convene health, justice, and suicide prevention communities, constituencies who do not often work together, to create novel solutions to a common problem. The Methods Core supports the Center through the following Specific Aims: 1. Engage Consortium Partners, promoting utility, uptake, scalability, & sustainability of Center findings 2. Incubate and generate innovative approaches to suicide prevention 3. Facilitate design and conduct of Center research projects, including transforming Center projects into Hybrid effectiveness-implementation studies to promote scalability and sustainability of interventions 4. Disseminate Center methods and solutions and build national capacity for justice, health, and suicide prevention cross-system research 5. Evaluate the Center’s processes, progress, productivity and impact The Center is designed to shorten the translational pipeline through scalable solutions, hybrid trials, strong stakeholder integration, and a strong dissemination plan. Strong integration of Methods Core Work Streams and stakeholder perspectives will advance Center public health impact.

方法核心支持一个签名项目、3 个探索性项目和 4-6 个试点可行性项目专注于健康与司法大数据链接，以实现有效且可扩展的自杀预防方法司法拦截（即行为健康服务可以拦截司法轨迹以改变行为该核心提供资源来支持具有相似性的严格、可重复的研究。概念框架、方法和措施中心方法的创新之处在于： 1. 为我们庞大的高风险目标人群建立自杀预防有效性证据基础。 2. 创建一个 n~110,000 个组合中心数据集，该数据集将是多样化的并且将成为该领域的资产。 3. 制定、手动化和完善可扩展性、可持续性和大规模翻译策略，以推动这些重要但尚未充分研究的实施科学领域的发展。 4. 利用与司法系统的联系（例如警察联系、逮捕）作为自杀风险的新指标一般人群（即“新数据类型”）来识别与护理联系不紧密的高危个体 5. 演示如何实现卫生和司法系统大数据联动并用于自动化并在卫生和司法系统中大规模开展自杀风险识别和应对。 6. 利用心理健康研究网络 (MHRN) 的方法来提取与自杀相关的和来自索赔和电子健康记录 (EHR) 数据的医疗保健利用结果。 7. 利用政策企业家的社会计量识别来促进中心方法的传播（目标 4） 8. 与管理式医疗组织合作，在司法拦截中识别和预防自杀风险 9. 召集健康、司法和自杀预防社区以及不经常工作的选区共同为共同问题创造新颖的解决方案。方法核心通过以下具体目标支持该中心： 1. 与联盟合作伙伴合作，促进中心研究结果的实用性、吸收性、可扩展性和可持续性 2. 孵化和产生预防自杀的创新方法 3. 促进中心研究项目的设计和实施，包括将中心项目转化为混合有效性实施研究，以促进干预措施的可扩展性和可持续性 4. 传播中心的方法和解决方案，建设国家司法、健康和自杀方面的能力预防跨系统研究 5. 评估中心的流程、进展、生产力和影响该中心旨在通过可扩展的解决方案、混合试验、强大的利益相关者整合，以及强大的传播计划方法核心工作流的强大整合。利益相关者的观点将促进中心对公共卫生的影响。