Methods Core

方法核心

基本信息

批准号：
10021733
负责人：
GREGORY E. SIMON
金额：
$ 21万
依托单位：
KAISER FOUNDATION RESEARCH INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-23 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10021733
关键词：
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 Methods National Institute of Mental Health Network Infrastructure Network-based Observational epidemiology Outcome Assessment Patient Outcomes Assessments Patients Pattern Perinatal Exposure Population Practice based research Predictive Analytics Primary Health Care Privacy Qualitative Research Request for Applications Research Research Design Research Infrastructure Research Methodology Research Personnel Research Project Grants Resources Risk 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 strategy

项目摘要

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.

我们建议将现有的心理健康研究网络（MHRN）扩展到包括14个研究中心嵌入在大型卫生系统中，可在16个州提供超过2500万个专业的总人口。 MHRN基础架构将得到增强，以支持下一代研究网络，包括： •扩大有关患者报告的现实练习结果的数据资源 •开发高优先级领域的新数据资源（例如，围产期暴露） •一个科学分析的兴趣小组，跨MHRN项目的分析方法的Rigore •方法开发的重点是评估更严重的人的自适应治疗策略心理健康状况以及旨在解决利益相关者优先事项的预测分析工具该总体应用程序请求支持管理核心，方法核心，两个签名研究项目和两个试点研究项目。格雷戈里·西蒙（Gregory Simon）和克里斯汀·斯图尔特（Cristine Stewart），以及由苏珊·肖特里德（Susan Shortred）和帕特里克（Patrick）领导的科学分析单位。 Heagerty。所有参与的诊断和信托校准模式的数据质量评估和描述性分析卫生系统。共享敏感健康数据的风险，以进行特定新数据领域的开发和开发（围产期）心理健康和产前暴露，扩大患者报告的结果清单以及对社会的评估卫生的决定因素）。并通过MHRN的公共存储库与他人和卫生系统共享所有资源规格，代码列表和分析代码。通过项目特定的咨询和分析师学习社区的开发以及 MHRN研究中心的生物统计学家也将着重于发展和纪念与MHRN研究直接相关的两个领域的分析方法。策略将以Shortreed博士最近资助的方法赠款为基础，以评估和传播方法使用卫生系统数据来为患有更多慢性或严重心理健康的个体量身定制治疗条件，专注于评估治疗效果时，调整治疗或根据以前的治疗失败或对利益相关者驱动的预测分析的不利影响 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以及具有利益持有人优先级和实施约束的模型开发方法。