Quantitative Analytics and Data Management

定量分析和数据管理

基本信息

批准号：
10689041
负责人：
AMY STEVES KELLEY
金额：
$ 100.82万
依托单位：
ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-30 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10689041
关键词：
Aging Algorithms California Caregivers Cataloging Cessation of life Code Collaborations Complex Data Data Set Database Management Systems Dementia Diagnosis Disease Documentation Economics Elderly Ensure Epidemiologist Event Family Family health status Funding Goals Health Health Services Health and Retirement Study Health system Home Human Resources Individual Infrastructure Knowledge Libraries Library Materials Link Medical Medicare Medicare/Medicaid Methods Modeling Observational Study Online Systems Palliative Care Patients Persons Pharmaceutical Preparations Policies Policy Maker Population Study Process Research Research Personnel Research Project Grants Research Support Resources Sample Size San Francisco Scientist Statistical Methods Surveys Techniques Time Time Series Analysis United States Centers for Medicare and Medicaid Services Universities Weight Work analytical method analytical tool clinical care clinically relevant cost data cleaning data management dementia care experience follow-up health service use hospice environment longitudinal course medical schools novel population based programs skills social synergism trend

项目摘要

RCB PROJECT SUMMARY The proposed program project, Deploying High Value Longitudinal Population-Based data in Dementia Research (DEVELOP AD RESEARCH), will leverage two national, longitudinal, population-based studies, the Health and Retirement Study (HRS) and the National Health and Aging Trends Study (NHATS), both of which are linked to Centers for Medicare and Medicaid Services (CMS) claims and assessment files, to expand our understanding of the longitudinal course of dementia and the complex interactions of medical, social, and health system factors. Research Core B (RCB) – Quantitative Analytics and Data Management will support the goals of the P01 and its five research projects through four specific aims: 1) To consolidate HRS, NHATS, and linked CMS database management activities to promote scientific rigor and efficiency throughout the P01; 2) To build the processes and infrastructure, including staff and investigators, to maximize efficient and synergistic application of our knowledge and resources; 3) To provide state-of-the-art quantitative analytic support for research projects; 4) To create and disseminate a library of publicly available web-based technical assistance material to advance geriatric palliative care and dementia research. Comprised of scientists from the University of California San Francisco and the Icahn School of Medicine at Mount Sinai, the core creates a transdisciplinary research team of clinician scientists, health services researchers, economists, epidemiologists, and biostatisticians with expertise in the novel and complex programming, analytic tools, and statistical methods that are required to effectively use the HRS and NHATS datasets to examine the complex issues that arise across the disease course from dementia diagnosis to death and provide answers to relevant clinical and policy questions in dementia care. RCB is the means through which synergies and efficiencies in quantitative analytic expertise and database management will be achieved in order to successfully complete the proposed work in each research project. RCB leaders, Drs. Boscardin and Kelley, have the expertise and experience to accomplish the RCB’s aims through active collaboration with research project investigators, consultants and analytic staff - all of whom have extensive expertise in managing and analyzing Medicare linked HRS and NHATS data. RCB will consolidate database management activities by centralizing administrative and regulatory functions; creating and cataloging a unified set of variables to be used by all research projects, merging and cleaning datasets needed for the individual research projects including creating longitudinal hierarchical datasets for analyses, and performing all associated documentation.

RCB项目摘要拟议的计划项目，在痴呆症中部署高价值的基于纵向人群的数据研究（发展广告研究）将利用两项国家，纵向，基于人群的研究，健康与退休研究（HRS）以及国家健康与衰老趋势研究（NHAT）与医疗保险和医疗补助服务中心（CMS）索赔和评估文件有关，以扩展我们了解痴呆症的纵向过程以及医学，社会和医疗的复杂相互作用卫生系统因素。研究核心B（RCB） - 定量分析和数据管理将支持 P01的目标及其五个研究项目通过四个特定目的：1）巩固HRS，NHAT，并链接了CMS数据库管理活动，以促进整个P01的科学严格和效率； 2）建立包括员工和调查人员在内的流程和基础设施，以最大程度地提高高效和协同应用我们的知识和资源； 3）提供最先进的定量分析支持研究项目； 4）创建和传播一个公开可用的基于Web的技术的库辅助材料，以促进老年姑息治疗和痴呆研究。由科学家组成加利福尼亚大学旧金山大学和西奈山的伊坎医学院，核心创建了一个临床科学家，卫生服务研究人员，经济学家，跨学科研究团队，流行病学家和生物统计学家在新颖而复杂的编程，分析工具和有效地使用HRS和NHAT数据集需要的统计方法来检查复合物从痴呆诊断到死亡的整个疾病课程中出现的问题，并为相关的答案提供答案痴呆症护理中的临床和政策问题。 RCB是协同效应和效率的手段将实现定量分析专业知识和数据库管理，以便成功完成每个研究项目的拟议工作。 RCB领导人，博士。 Boscardin和Kelley拥有专业知识和通过与研究项目调查人员积极合作来实现RCB目标的经验顾问和分析人员 - 所有人在管理和分析Medicare方面都有广泛的专业知识链接的HRS和NHAT数据。 RCB将通过集中化来巩固数据库管理活动行政和监管职能；创建和分类一组统一的变量集研究项目，合并和清洁单个研究项目所需的数据集，包括创建用于分析并执行所有相关文档的纵向分层数据集。