Expanding the RAND HRS Data System to Better Support Research on Health and Aging

扩展兰德 HRS 数据系统以更好地支持健康和老龄化研究

• 批准号: 10444399
• 负责人: SUSANN ROHWEDDER
• 金额: $ 75.74万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10444399
• 关键词: Activities of Daily Living; Address; Advisory Committees; Affect; Age; Aging; Area; Caring; Code; Complement; Complex; Complex Variables; Consultations; Data; Data Collection; Data Element; Data Files; Data Security; Data Set; Dementia; Derivation procedure; Development; Dimensions; Discipline; Epidemiology; Family member; Fostering; Health; Health and Retirement Study; Healthcare; Individual; Information Systems; Interdisciplinary Study; Investigation; Knowledge; Lead; Long-Term Care; Longitudinal Studies; Measures; Medicine; Mental Health; Methodology; Methods; Michigan; Older Population; Parents; Pensions; Personal Satisfaction; Persons; Preparation; Process; Production; Productivity; Protocols documentation; Questionnaires; Recommendation; Research; Research Personnel; Research Support; Respondent; Sampling; Social Sciences; Social Security; Source; Speed; Structure; Surveys; Technical Expertise; Time; Universities; Update; Work; base; care giving burden; data infrastructure; disability; experience; health disparity; high standard; improved; indexing; informal care; innovation; longitudinal analysis; physical conditioning; psychosocial; systematic review; user-friendly

PROJECT SUMMARY The Health and Retirement Study (HRS) is the premier data set worldwide for the study of aging in all its complexities. The RAND HRS Longitudinal File and its supplementary files, that constitute the RAND HRS Data System, have been instrumental in facilitating the use of the HRS in the work of thousands of researchers in the U.S. and around the world. This project will substantially expand the RAND HRS Data System to realize the full potential of the HRS and to facilitate rigorous multidisciplinary research on health and aging. We propose to create innovative summary measures and improve upon existing ones. One main effort will be to create indices of high-level concepts such as health and disability, psycho-social construct variables, and subjective well-being and to develop estimates of pension and Social Security wealth. We will develop these measures involving experts so as to provide researchers in one discipline with state-of-knowledge measures from other disciplines, thus encouraging transdisciplinary research. A second effort will be to develop new data products such as a longitudinal Respondent-Parent file and Respondent-Helper files to advance research on long-term care. We would investigate the feasibility of a restricted data file that would incorporate variables derived from administrative Social Security data. We will improve the derivation of a number of existing variables in the RAND HRS and maintain and update all supplementary data products and new data elements as additional waves of HRS data become available. This will be a collaborative effort between the HRS and the RAND HRS teams. The HRS team will bring the scientific expertise of the HRS Co-Investigators to the development of new data elements that can be used across all disciplines. The RAND team will bring methodological and technical skills and over twenty years of experience in programming using the HRS data. The proposed expansion of the content of the RAND HRS Data System requires innovative use of the rich and complex original HRS data. We will develop data elements using rigorous, systematic methods in consultation with experts, with focus on longitudinal consistency. The new data elements in the expanded and improved RAND HRS Data System will strengthen an important data infrastructure and will facilitate downstream high-quality multidisciplinary research in high- priority areas of NIA in health and aging, including, for example, investigations of disparities in health and subjective well-being, the personal, interpersonal and societal causes of physical and mental health at older ages, the burden of caregiving on family members, and disparities in the use and provision of informal care. With the availability of the expanded RAND HRS Data System, researchers will be able to more rapidly address new and evolving issues and challenges facing burgeoning older populations, including their care, financial, and health needs.

项目摘要 健康与退休研究（HRS）是全球范围内衰老的主要数据集 复杂性。 Rand HRS纵向文件及其补充文件构成Rand HRS 数据系统在促进数千名研究人员的工作中促进了HRS的使用 在美国和世界各地。该项目将大大扩展RAND HRS数据系统以实现 人力资源管理的全部潜力，并促进对健康和衰老的严格多学科研究。 我们建议制定创新的摘要措施并改善现有措施。一项主要努力将 要创建高级概念的指标，例如健康和残疾，心理社会构造变量以及 主观幸福感，并建立对养老金和社会保障财富的估计。我们将开发这些 涉及专家的措施，以便在一项学科中为研究人员提供知识措施 从其他学科，从而鼓励跨学科研究。第二次努力是开发新数据 诸如纵向受访者文件和受访者助手文件之类的产品，以推动对 长期护理。我们将调查将包含变量的受限制数据文件的可行性 源自行政社会保障数据。我们将改善许多现有的推导 RAND HRS中的变量并维护和更新所有补充数据产品和新数据元素 随着更多人力资源数据的额外浪潮。 这将是HRS与RAND HRS团队之间的合作努力。人力资源团队将带来 HRS共同研究者的科学专业知识可以用于开发新数据元素 在所有学科中。兰德团队将带来方法论和技术技能以及二十多年 使用HRS数据进行编程的经验。提议扩展Rand HRS的内容 数据系统需要创新使用丰富而复杂的原始HRS数据。我们将开发数据元素 使用严格的系统方法与专家协商，重点是纵向一致性。 扩展和改进的RAND HRS数据系统中的新数据元素将增强 重要的数据基础架构，并将促进高质量的高质量多学科研究 NIA在卫生和衰老方面的优先领域，包括对健康方面的差异进行调查 年龄较大 年龄，照料对家庭成员的负担以及非正式护理使用和提供的差异。 随着扩展的RAND HRS数据系统的可用性，研究人员将能够更快地 解决新兴的较老人群（包括他们的照顾）面临的新的和不断发展的问题以及挑战 财务和健康需求。