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: 10630148
• 负责人: SUSANN ROHWEDDER
• 金额: $ 72.98万
• 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/10630148
• 关键词: Activities of Daily Living; Address; Advisory Committees; Affect; 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; Disparity; Epidemiology; Family member; Fostering; Health; Health and Retirement Study; Healthcare; Individual; Information Systems; Interdisciplinary Study; Investigation; Knowledge; 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; care giving burden; data infrastructure; disability; experience; health disparity; high standard; human old age (65+); 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.

项目概要 健康与退休研究 (HRS) 是全球范围内老龄化研究的首要数据集。 复杂性。构成兰德 HRS 的兰德 HRS 纵向文件及其补充文件 数据系统，在促进数千名研究人员的工作中使用 HRS 方面发挥了重要作用 在美国和世界各地。该项目将大幅扩展兰德 HRS 数据系统，以实现 充分发挥 HRS 的潜力，促进健康和老龄化方面严格的多学科研究。 我们建议制定创新的汇总措施并改进现有措施。其中一项主要努力将 创建高级概念的指数，例如健康和残疾、心理社会构建变量，以及 主观幸福感并制定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，以便为某一学科的研究人员提供知识状况测量 来自其他学科，从而鼓励跨学科研究。第二项努力将是开发新数据 产品，例如纵向受访者-家长档案和受访者-帮助者档案，以推进以下方面的研究 长期护理。我们将研究包含变量的受限数据文件的可行性 来自行政社会保障数据。我们将改进一些现有的推导 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 HRS 数据可用。 这将是 HRS 和兰德 HRS 团队之间的共同努力。 HRS团队将带来 HRS 联合研究人员的科学专业知识开发可使用的新数据元素 跨越所有学科。兰德团队将带来方法论和技术技能以及二十多年的经验 使用 HRS 数据进行编程的经验。兰德 HRS 内容的拟议扩展 数据系统需要创新地利用丰富而复杂的原始HRS数据。我们将开发数据元素 与专家协商，采用严格、系统的方法，重点关注纵向一致性。 扩展和改进的兰德 HRS 数据系统中的新数据元素将加强 重要的数据基础设施，并将促进下游高质量多学科研究 NIA 在健康和老龄化方面的优先领域，包括调查健康和老龄化方面的差异 主观幸福感，老年人身心健康的个人、人际和社会原因 年龄、家庭成员的照顾负担以及使用和提供非正式照顾方面的差异。 随着扩展的兰德 HRS 数据系统的可用性，研究人员将能够更快地 解决迅速增长的老年人口面临的新的和不断变化的问题和挑战，包括他们的护理， 财务和健康需求。