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

项目总结 健康和退休研究(HRS)是全球范围内研究老龄化的主要数据集 很复杂。兰德HRS纵向文件及其补充文件，构成兰德HRS 数据系统，有助于促进在数千名研究人员的工作中使用人力资源报告 在美国和世界各地。该项目将对兰德HRS数据系统进行实质性扩展，实现 充分发挥人力资源服务的潜力，促进关于健康和老龄化的严谨的多学科研究。 我们建议创建创新的总结措施并在现有措施的基础上加以改进。一项主要的努力将 将创建诸如健康和残疾、心理-社会结构变量等高级概念的指数，以及 这将有助于提高人们的主观幸福感，并对养老金和社会保障财富进行估算。我们将开发这些 涉及专家的措施，以便向某一学科的研究人员提供知识状况的衡量标准 来自其他学科的研究，从而鼓励跨学科研究。第二项努力将是开发新的数据 产品，如纵向答复者-父文件和答复者-帮助者文件，以促进研究 长期护理。我们将研究合并变量的受限数据文件的可行性 派生自管理的社会保障数据。我们将改进现有的一些派生 兰德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 随着更多的HRS数据的出现。 这将是HRS和RAND HRS团队之间的合作努力。HRS团队将带来 HRS联合调查员在开发可使用的新数据元素方面的科学专门知识 横跨所有学科。兰德团队将带来方法和技术技能以及20多年的 有使用HRS数据进行编程的经验。建议扩大兰德人力资源报告的内容 数据系统要求创新利用丰富复杂的原始HRS数据。我们将开发数据元素 在咨询专家的过程中使用严格、系统的方法，重点是纵向一致性。 扩大和改进的兰德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的多学科研究 国家免疫机构在健康和老龄化方面的优先领域，例如包括调查健康和老龄化方面的差距 主观幸福感：老年人身心健康的个人、人际和社会原因 年龄、家庭成员的照料负担以及在使用和提供非正规护理方面的差距。 随着扩展的兰德HRS数据系统的可用，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， 经济和健康需求。

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.