Quantitative Analytics and Data Management

定量分析和数据管理

• 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
• 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

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 项目概要 拟议的计划项目“在痴呆症中部署基于人口的高价值纵向数据” 研究（DEVELOP AD RESEARCH）将利用两项全国性、纵向的、基于人口的研究，即 健康与退休研究 (HRS) 和国家健康与老龄化趋势研究 (NHATS)，两者均 链接到医疗保险和医疗补助服务中心 (CMS) 索赔和评估文件，以扩展我们的 了解痴呆症的纵向病程以及医学、社会和疾病之间复杂的相互作用 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具体目标： 1) 巩固 HRS、NHATS、 并链接 CMS 数据库管理活动，以促进整个 P01 的科学严谨性和效率； 2) 建立流程和基础设施，包括工作人员和调查人员，以最大限度地提高效率和 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) 创建和传播公共可用的基于网络的技术库 促进老年姑息治疗和痴呆症研究的援助材料。由来自的科学家组成 加州大学旧金山分校和西奈山伊坎医学院的核心创建了一个 由临床科学家、卫生服务研究人员、经济学家组成的跨学科研究团队， 流行病学家和生物统计学家，在新颖和复杂的编程、分析工具和 有效使用 HRS 和 NHATS 数据集来检查复杂情况所需的统计方法 从痴呆症诊断到死亡的整个疾病过程中出现的问题，并为相关问题提供答案 痴呆症护理中的临床和政策问题。 RCB 是实现协同效应和效率的手段 将获得定量分析专业知识和数据库管理，以便成功完成 每个研究项目中拟议的工作。 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的积极合作来实现 RCB 目标的经验， 顾问和分析人员 - 他们都在管理和分析医疗保险方面拥有丰富的专业知识 关联的 HRS 和 NHATS 数据。 RCB 将通过集中化来整合数据库管理活动 行政和监管职能；创建并编录一组统一的变量以供所有人使用 研究项目，合并和清理各个研究项目所需的数据集，包括创建 用于分析和执行所有相关文档的纵向分层数据集。