Methods Core

方法核心

• 批准号: 10663082
• 负责人: GREGORY E. SIMON
• 金额: $ 13.33万
• 依托单位: KAISER FOUNDATION RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-23 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10663082
• 关键词: Acceleration; Address; Adverse effects; Antipsychotic Agents; Area; Chronic; Clinical; Clinical Research; Code; Consultations; Data; Development; Diagnosis; Evaluation; Funding; Goals; Grant; Health Services Research; Health system; Individual; Informatics; Integrated Health Care Systems; Interest Group; Laboratories; Learning; Machine Learning; Mental Depression; Mental Health; Mental Health Services; Methods; National Institute of Mental Health; Network Infrastructure; Observational epidemiology; Patient Outcomes Assessments; Patients; Perinatal Exposure; Persons; Population; Practice based research; Predictive Analytics; Primary Care; Privacy; Qualitative Research; Request for Applications; Research; Research Design; Research Infrastructure; Research Methodology; Research Personnel; Research Project Grants; Resources; Risk; Specific qualifier value; Speed; Study models; Suicide prevention; Treatment Failure; Trust; Work; Youth; analytical method; analytical tool; data infrastructure; data quality; data resource; design; first episode psychosis; health care delivery; health data; implementation science; improved; individualized medicine; large scale data; learning community; member; method development; next generation; patient population; perinatal mental health; practice-based research network; pragmatic trial; prenatal exposure; programs; public repository; research and development; risk prediction model; social health determinants; suicidal risk; tool development; treatment effect; treatment pattern; treatment strategy

We propose to expand the existing Mental Health Research Network (MHRN) to include 14 research centers embedded in large health systems serving a combined population of over 25 million patients in 16 states. MHRN infrastructure will be enhanced to support a next-generation research network, including: • Expansion of data resources regarding patient-reported outcomes from real-world practice • Development of new data resources in high-priority areas (e.g. perinatal exposures) • A Scientific Analysis interest group to increase the rigor of analytic methods across MHRN projects • Methods development focused on evaluation of adaptive treatment strategies for people with more severe mental health conditions and on predictive analytic tools designed to address stakeholder priorities This overall application requests support for an Administrative Core, a Methods core, two Signature research projects and two Pilot research projects. The Methods Core will include an Informatics Unit, led by Drs. Gregory Simon and Christine Stewart, and a Scientific Analysis Unit, led by Drs. Susan Shortreed and Patrick Heagerty. The Informatics Unit will continue highly successful work over the past 8 years, supporting routine data quality assessment and descriptive analyses of diagnosis and treatment patterns across all participating health systems. New work will include development of tools and resources to assess and minimize privacy risks when sharing sensitive health data for research and development of specific new data areas (perinatal mental health and prenatal exposures, expanded list of patient-reported outcomes, and assessments of social determinants of health). The Informatics Unit will provide consultation to all MHRN core and affiliated projects and share all resources with other researchers and health systems via MHRN's public repository of specifications, code lists, and analytic code. The Scientific Analysis Unit will support to all MHRN core and affiliated projects via project-specific consultation and development of a learning community of analysts and biostatisticians across MHRN research centers. This Unit will also focus on development and dissemination of analytic methods in two areas directly relevant to MHRN research. Work on evaluating adaptive treatment strategies will build on Dr. Shortreed's recently funded methods grant to evaluate and disseminate methods for using health system data to tailor treatments for individuals with more chronic or severe mental health conditions, focusing on assessing treatment effects when treatments are adjusted or switched according to previous treatment failures or adverse effects. Work on stakeholder-driven predictive analytics will build on MHRN's development of accurate suicide risk prediction models, focusing on matching specific study designs and model development methods with stakeholder priorities and implementation constraints.

我们建议扩大现有的心理健康研究网络（MHRN），以包括14个研究中心 嵌入大型卫生系统，为16个州的2500多万患者提供服务。 MHRN基础设施将得到加强，以支持下一代研究网络，包括： ·扩大关于患者报告的真实世界实践结果的数据资源 ·在高度优先领域开发新的数据资源（例如围产期照射） ·科学分析兴趣小组，以提高MHRN项目分析方法的严谨性 ·方法开发侧重于评估更严重的人的适应性治疗策略 心理健康状况和旨在解决利益相关者优先事项的预测分析工具 这个整体应用程序要求支持一个管理核心，一个方法核心，两个签名研究 项目和两个试点研究项目。方法核心将包括一个信息学单位，由博士领导。 格雷戈里·西蒙和克莉丝汀·斯图尔特，以及由苏珊·肖特里德和帕特里克博士领导的科学分析小组 希格斯信息股将继续开展过去8年来非常成功的工作， 所有参与者的诊断和治疗模式的数据质量评估和描述性分析 卫生系统。新的工作将包括开发工具和资源，以评估和尽量减少隐私 为研究和开发特定的新数据领域（围产期）而共享敏感的健康数据时的风险 精神健康和产前暴露，患者报告结果的扩展列表，以及社会风险评估 健康的决定因素）。信息部门将为人力资源网络的所有核心和附属项目提供咨询 并通过MHRN的公共资源库与其他研究人员和卫生系统共享所有资源， 规范、代码列表和分析代码。科学分析股将支持MHRN的所有核心和 通过具体项目咨询和发展分析师学习社区， MHRN研究中心的生物统计学家。该股还将侧重于编制和传播 分析方法在两个领域直接相关的MHRN研究。评估适应性治疗的工作 战略将建立在博士Shorttreed最近资助的方法赠款，以评估和传播的方法， 使用卫生系统数据为患有慢性或严重心理健康的个人定制治疗方法 条件，重点是评估治疗效果时，调整或转换治疗，根据 既往治疗失败或不良反应。企业主驱动的预测分析工作将建立在 MHRN开发准确的自杀风险预测模型，重点是匹配特定的研究设计 和模型开发方法与利益相关者的优先事项和实施的限制。