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）是全球范围内研究老龄化的首要数据集， 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，在促进成千上万的研究人员在工作中使用HRS方面发挥了重要作用 在美国和世界各地。该项目将大大扩展兰德HRS数据系统， HRS的全部潜力，并促进对健康和老龄化的严格的多学科研究。 我们建议制定创新的汇总措施并改进现有措施。一项主要努力将 建立高层次概念的指数，如健康和残疾，心理社会结构变量，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 有专家参与的措施，以便为某一学科的研究人员提供最新的知识水平措施 从其他学科，从而鼓励跨学科的研究。第二项努力将是开发新的数据 产品，如纵向受访者-家长文件和受访者-助手文件，以推进研究 长期护理。我们将调查一个受限数据文件的可行性， 来自社会保障行政数据。我们将改进一些现有的推导 兰德公司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 因为HRS数据的附加波变得可用。 这将是HRS和兰德HRS团队之间的合作。HRS团队将带来 HRS合作研究者的科学专业知识，以开发可使用的新数据元素 所有学科。兰德团队将带来方法和技术技能，以及二十多年的 使用HRS数据编程的经验。拟议扩大兰德公司HRS的内容 数据系统需要创新地使用丰富而复杂的HRS原始数据。我们将开发数据元素 与专家协商，采用严格、系统的方法，重点是纵向一致性。 经扩大和改进的兰德公司人力资源服务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的多学科研究， 国家影响评估在健康和老龄化方面的优先领域，包括，例如，调查健康和 主观幸福感，老年人身心健康的个人、人际和社会原因 年龄、家庭成员的抚养负担以及在使用和提供非正式护理方面的差异。 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 解决迅速增加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， 经济和健康需求。