Methods Core

我们建议将现有的精神卫生研究网络(MHRN)扩大到包括14个研究中心 嵌入大型医疗系统，为16个州的2500多万患者提供服务。 人力资源管理网的基础设施将得到加强，以支持下一代研究网络，包括： ·扩大有关患者报告的真实实践结果的数据资源 ·在高优先领域开发新的数据资源(例如围产期接触) ·科学分析兴趣小组，以提高人力资源网项目中分析方法的严谨性 ·方法发展侧重于评估对病情更严重的患者的适应性治疗策略 心理健康状况和旨在解决利益相关者优先事项的预测性分析工具 此整体应用程序请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。该方法核心将包括一个信息学单位，由博士领导。 格雷戈里·西蒙和克里斯汀·斯图尔特，以及由苏珊·肖特雷德和帕特里克博士领导的科学分析小组 希格蒂。信息学股将在过去8年中继续非常成功的工作，支持例行工作 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评估和最小化隐私的工具和资源 为特定新数据领域(围产期)的研究和开发共享敏感健康数据时的风险 心理健康和产前暴露，患者报告结果的扩展列表，以及社会评估 健康的决定因素)。信息学股将向人力网的所有核心项目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 规格、代码列表和分析代码。科学分析股将支持人力资源管理处所有核心和 通过特定于项目的咨询和开发分析员和 MHRN研究中心的生物统计学家。该股还将重点发展和传播 与MHRN研究直接相关的两个领域的分析方法。评估适应性治疗的工作 战略将建立在Shortreed博士最近资助的方法赠款的基础上，以评估和传播 使用卫生系统数据为患有更多慢性或严重精神健康的个人量身定做治疗 条件，重点是评估治疗效果时，治疗调整或切换根据 既往治疗失败或不良反应。利益相关者驱动的预测性分析的工作将建立在 MHRN开发准确的自杀风险预测模型，专注于匹配特定的研究设计 以及具有利益相关者优先事项和实施限制的模型开发方法。

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.