Leveraging Existing Data and Analytic Methods for Health Disparities Research Related to Aging and Alzheimer's Disease and Related Dementias (ADRD)

利用现有数据和分析方法进行与衰老和阿尔茨海默氏病及相关痴呆症 (ADRD) 相关的健康差异研究

• 批准号: 10540591
• 负责人: IGOR AKUSHEVICH
• 金额: $ 5万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10540591
• 关键词: Address; Adult; Age; Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Americas; Applications Grants; Applied Research; Applied Skills; Area; COVID-19 pandemic; Caring; Clinic; Clinical; Collaborations; Communication Methods; Communities; Data; Data Analyses; Data Analytics; Data Set; Data Sources; Diffuse; Diffusion; Discipline; Disease; Economics; Educational workshop; Electronic Health Record; Environmental Risk Factor; Epidemiology; Ethics; Event; Exposure to; Faculty; Familiarity; Feedback; Focus Groups; Funding; Future; Generations; Gerontology; Goals; Health; Health Disparities Research; Health Promotion; Heterogeneity; Hybrids; Individual; Interdisciplinary Study; Knowledge; Link; Measures; Medical; Medicare/Medicaid; Methodology; Methods; Minority-Serving Institution; Modeling; Modernization; Nature; Outcome; Participant; Pattern; Persons; Population; Postdoctoral Fellow; Publications; Reproducibility; Research; Research Design; Research Personnel; Resources; Role; Schedule; Schools; Series; Societies; Socioeconomic Factors; Statistical Methods; Statistical Models; Structure; Subgroup; Surveys; Time trend; United States Department of Veterans Affairs; Vulnerable Populations; Work; advanced analytics; age related; analytical method; analytical tool; base; career; comorbidity; data management; dementia risk; digital; disease disparity; evidence base; health data; health disparity; improved; innovation; interest; mixed dementia; multiple chronic conditions; parent grant; population health; preference; prospective; success; symposium; theories; trend; virtual; web site; yeast two hybrid system

Abstract The next two installments of a series of hybrid virtual/in-person workshops to be held in 2023-2024 are proposed. The aim of these two sessions is to provide new knowledge on how existing and recently developed analytic methods can be used for detailed, reliable, and reproducible analysis to make progress in understanding the causes and mechanisms of health-related disparities in Alzheimer’s disease (AD), related dementias (ADRD), and other prominent age-related diseases. The long-term goal of the series is to provide a resource focused on diffusing methodological know-how, demonstrating the capabilities of newly developed methodologies, expanding on the rigor and range of application of well-established methods, promoting correct use of big health data both from a methodological and ethical prospective as well as providing a forum for experts and newcomers interested in health disparities and age-related diseases to discuss their ideas and showcase their research. In the planning of the 2023-2024 workshops, we will continue the important work that has already been done by our team and build upon the accomplishments of previous Symposia and Workshops in this series including those funded by the parent grant of this proposal (R13AG069381). As has become customary over the course of the series the exact schedules of the 2023/2024 workshops will be finalized after receiving input from 2022/2023 participants. We have had great success in using this model as evidenced by active participation of representatives of Alzheimer's Disease research centers, minority institutions, and other methodological focus groups as well as the increasing attendance of our workshops and symposia. The overall focus of the workshops will be: “Evaluating heterogeneity and Structure in AD/ADRD risks and outcomes” for 2023 and “Determinants of AD/ADRD risks: application of innovative methodologies to Big Health Data” for 2024. Each workshop will contain three substantive and one supporting methodologic session. The list of substantive sessions will include: i) patterns of mixed dementia and their components, ii) trends and disparities in AD/ADRD survival, iii) the COVID-19 pandemic and AD/ADRD risk and outcomes, iv) role of younger ages in the risk of AD and associated disparities, v) multimorbidity/comorbidity and AD risk, and vi) non-clinic-related determinants of the risk of AD/ADRD and their role in time trends and health disparities. The methodologic session will discuss supportive approaches that will deal with multiple modern administrative, population, and clinical datasets. We plan to maintain the accessibility level of the methodologic presentations by combining methodological innovations with practical hands-on demonstrations while addressing topics of the highest interest to the audience based on feedback gathered using pool and post-event surveys administered over the course of past Workshops. Furthermore, by bringing researchers together in a unified format rather than separating them across field- specific sections we endeavor to overcome the fragmented nature of the fields involved in such research by centering it around the application of methods and data, making it especially useful for early career investigators.

摘要