DREAMS Translational Core - Methods and Data Integration (MDI)

DREAMS 转化核心 - 方法和数据集成 (MDI)

基本信息

批准号：
10476573
负责人：
Andrew John Karter
金额：
$ 14.71万
依托单位：
KAISER FOUNDATION RESEARCH INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-09-01 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10476573
关键词：
Area Artificial Intelligence Biological Markers Caring Clinical Communities Community Health Consult Cost Effectiveness Analysis Data Data Collection Data Sources Development Diabetes Mellitus Diabetes prevention Diffuse Engineering English Language Ensure Environment Ethnic Origin Evaluation Faculty Funding Generations Goals Health Health Policy Health Services Research Health system Healthcare Systems Individual Inequality Intervention Intervention Studies Knowledge Longevity Machine Learning Mentors Methodology Methods Mission Modeling Monitor National Institute of Diabetes and Digestive and Kidney Diseases Natural experiment Neighborhoods Non-Insulin-Dependent Diabetes Mellitus Patients Policies Policy Research Population Prevention Public Health Race Research Research Methodology Research Personnel Research Project Grants Risk Running Rural Science Site Social Policies Socioeconomic Status Source Statistical Methods System Techniques Testing Translational Research Translations Vulnerable Populations analytical method base bench to bedside care delivery care systems causal model clinical care comparative effectiveness comparative effectiveness analysis data integration data resource deprivation design diabetes risk evidence base health data health disparity health economics health equity health equity promotion health inequalities health literacy implementation science improved innovation models and simulation novel patient population population health risk stratification social translational potential translational scientist uptake

Area Artificial Intelligence Biological Markers Caring Clinical Communities Community Health Consult Cost Effectiveness Analysis Data Data Collection Data Sources Development Diabetes Mellitus Diabetes prevention Diffuse Engineering English Language Ensure Environment Ethnic Origin Evaluation Faculty Funding Generations Goals Health Health Policy Health Services Research Health system Healthcare Systems Individual Inequality Intervention Intervention Studies Knowledge Longevity Machine Learning Mentors Methodology Methods Mission Modeling Monitor National Institute of Diabetes and Digestive and Kidney Diseases Natural experiment Neighborhoods Non-Insulin-Dependent Diabetes Mellitus Patients Policies Policy Research Population Prevention Public Health Race Research Research Methodology Research Personnel Research Project Grants Risk Running Rural Science Site Social Policies Socioeconomic Status Source Statistical Methods System Techniques Testing Translational Research Translations Vulnerable Populations analytical method base bench to bedside care delivery care systems causal model clinical care comparative effectiveness comparative effectiveness analysis data integration data resource deprivation design diabetes risk evidence base health data health disparity health economics health equity health equity promotion health inequalities health literacy implementation science improved innovation models and simulation novel patient population population health risk stratification social translational potential translational scientist uptake

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项目摘要

Project Summary/Abstract: Methods and Data Integration (MDI) Core Over the last decade, there have been substantive advances in analytic research methods and the introduction of novel sources and methods of data collection for translational research; these offer tremendous potential for improving the prevention and management of type 2 diabetes. As one of two translational research cores within the Diabetes Research for Equity through Advanced Multilevel Science Center for Diabetes Translational Research (DREAMS-CDTR), the Methods and Data Integration (MDI) Core promote the application of innovative methods and the use of novel data sources that facilitate two overarching priorities of the CDTR: a) design and optimized targeting and tailoring of diabetes-related interventions and public health policy to promote health equity and reduce inequalities, and b) to monitor the impact of innovations in care delivery, public health and social policy on existing health inequalities. Diabetes policy research increasingly relies on methodological expertise in five key areas: (a) natural experiments research; (b) implementation science; (c) health economics including comparative effectiveness and cost-effectiveness analysis; (d) simulation modeling; and (e) machine learning. The MDI core mission is to promote those methods and data to facilitate policy research in diabetes and health equity. The MDI Core will promote technological advances in data and research methods that can be applied to support interventions in the T2-T4 translational research continuum ranging from ‘bench-to-bedside’ research, clinical care and health services research, community-based intervention research, implementation sciences research, comparative effectiveness analysis, all the way to agent-based simulation models that influence policy, systems and environments. We will support a research environment that disseminates new statistical and analytic approaches, such as hierarchical models, causal modeling, machine learning and artificial intelligence techniques, and technological advances in data sources such as lab-based biomarkers, remotely collected health data, and population health data. These goals will be accomplished by 1) Mentoring junior investigators within our DREAMS-CDTR research center, 2.) Providing evidence-based consulting to CDTR, health system, and community partners, and 3.) Disseminating knowledge of novel research methods and data resources facilitating multilevel diabetes translational research and analysis of its impact on equity in diabetes care and prevention to research sites within our CTDR, among all NIDDK-funded CDTRs and the broader research and public health community.

项目摘要/摘要：方法和数据集成（MDI）核心在过去的十年中，分析研究方法和引言取得了实质性进步转化研究的新颖来源和数据收集方法；这些为改善2型糖尿病的预防和管理。作为两个转化研究核心之一在糖尿病研究中，通过高级多级糖尿病中心翻译研究（Dreams-CDTR），方法和数据集成（MDI）核心促进创新方法的应用以及新的数据源的使用，可促进两个总体优先级 CDTR：a）设计和优化糖尿病相关干预措施和公共卫生的定位和裁缝促进健康公平和减少不平等的政策，b）监测护理创新的影响有关现有健康不平等现象的交付，公共卫生和社会政策。糖尿病政策研究越来越依赖于五个关键领域的方法论专业知识：（a）自然实验研究；（b）实施科学；（c）卫生经济学包括比较有效性和成本效益分析；（d）模拟建模；（e）机器学习。 MDI核心任务是促进这些方法和数据，以促进糖尿病和健康公平的政策研究。 MDI核心将促进可以应用于数据和研究方法的技术进步 T2-T4转化研究中的支持干预措施持续从“基准到床”研究，临床护理和健康服务研究，基于社区的干预研究，实施科学研究，比较有效性分析，一直以影响影响的基于代理的仿真模型政策，系统和环境。我们将支持传播新统计数据的研究环境和分析方法，例如分层模型，因果建模，机器学习和人工智能技术以及基于实验室的生物标志物等数据源的技术进步，远程收集了健康数据和人群健康数据。这些目标将通过1）指导初级我们梦dream以求的CDTR研究中心的调查人员，2。）基于普罗维登斯的咨询给CDTR，卫生系统和社区合作伙伴以及3.）传播新的研究方法和数据知识支持多级糖尿病的资源纪念研究及其对糖尿病股权的影响的分析在所有NIDDK资助的CDTR和更广泛的CTDR中的研究网站的护理和预防研究与公共卫生社区。