Dementia Prevalence over Time: Proximate Causes and Consequences

痴呆症患病率随时间的变化：直接原因和后果

• 批准号: 10394031
• 负责人: MICHAEL D HURD
• 金额: $ 48.72万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10394031
• 关键词: Affect; Age; Algorithms; Alzheimer' s Disease; Alzheimer' s disease care; Alzheimer' s disease related dementia; Applications Grants; Caregivers; Caring; Characteristics; Child; Code; Communities; Complex; Data; Data Analyses; Data Files; Data Set; Daughter; Dementia; Development; Diabetes Mellitus; Documentation; Economics; Elderly; Family; Family Caregiver; Family Study; Family member; Frequencies; Funding; Future; Genetic Markers; Geography; Goals; Grant; Health and Retirement Study; Laws; Link; Long-Term Care; Nursing Homes; Obesity; Older Population; Parents; Persons; Population; Prevalence; Process; Records; Reproducibility; Research; Research Personnel; Respondent; Risk Factors; Sampling; Self Care; Shoulder; Siblings; Surveys; Time; United States; Update; Work; baby boomer; cohort; computerized data processing; cost; experience; falls; family structure; health data; improved; informal care; information model; labor force participation; operation; parent grant; physical inactivity; programs; trend; user-friendly; web site

The goals of the R01 grant “Dementia Prevalence over Time: Proximate Causes and Consequences,” include quantifying several consequences of Alzheimer’s Disease and Alzheimer’s Disease Related Dementias (AD/ADRD) in the older population. Specific Aim 5 of the R01 is to “Forecast the use and availability of informal care and how it will impact nursing home use and costs.” To conduct this research, we had planned to rely on the RAND HRS Family Data. This data set, which cleans and streamlines HRS information on respondents’ children, parents, siblings, and caregivers, enables analyses of caring for persons with AD/ADRD from two angles: when an HRS respondent receives care for AD/ADRD; and when an HRS respondent provides care to parents with AD/ADRD. Unfortunately, and unknown to us at the time of our original R01 grant application, funding support for the RAND HRS Family Data files ceased after incorporation of the 2014 HRS data. Hence, we will have to clean and process HRS 2016 and HRS 2018 family data to accomplish fully Aim 5. These data are critical for forecasting future AD/ADRD effects as proposed in aim 5 of the R01 for two reasons. First, using more recent data will make forecasts of use and availability of informal care more accurate. Second, the more recent waves of the HRS family data include the first waves of the Late Baby Boomer (1960-1965) cohort, as well as a substantial amount of additional information on older cohorts. Processing these data will be a major effort given the more than 300 raw variables per wave that go into the RAND HRS Family Data, as well as the complexities of linking children’s records longitudinally. Prior to 2002, IDs for respondents’ children were not unique, leading to difficulties linking the information from earlier waves as well as difficulties in linking later records with unique IDs to difficult-to-link data from earlier waves. While it is a complex and substantial operation to process the 2016 and 2018 data, we will be able to build on the existing programs from prior releases of the RAND HRS Family Data. Dr. Rohwedder, investigator on the R01 and director of the RAND HRS Data development efforts, will work with a team of experienced programmers to accomplish this effort. We will examine and improve cross-wave linkages of children’s records. Working with available data, we identified situations where we can augment the longitudinal matching algorithms. This is important for obtaining reliable estimates of who is likely to become a caregiver, particularly given that such duties typically fall to just one or very few family members. To enhance the transparency and reproducibility of our research, we will document our work in the RAND HRS Family Data codebook, including any cross-wave differences we find in the 2016 and 2018 data resulting from changes to the HRS survey instrument or in how data are recorded. We will make the augmented RAND HRS Family Data available to the research community. The RAND HRS Family Data have received 6,800 downloads since first being made available in 2011. The addition of these latest waves will help leverage additional research on the provision of care for those living with AD/ADRD.

R01赠款的目标是“痴呆症随时间的流行：直接原因和后果”，包括 量化阿尔茨海默病和阿尔茨海默病相关痴呆的几种后果 (AD/ADRD)在老年人口中。R01的具体目标5是“预测非正式语言的使用和可用性 护理以及它将如何影响疗养院的使用和成本。为了进行这项研究，我们原本计划依靠 兰德HRS家族数据。此数据集可清理和简化受访者的HRS信息 儿童、父母、兄弟姐妹和照顾者，能够从两个方面分析AD/ADRD患者的护理 角度：当HRS受访者接受AD/ADRD护理时；以及HRS受访者提供护理时 患有AD/ADRD的父母。不幸的是，在我们最初申请R01拨款时，我们还不知道， 在纳入2014年的人力资源数据后，停止了对兰德人力资源数据家庭数据文件的资助。因此， 我们将必须清理和处理HRS 2016和HRS 2018家庭数据，以全面实现目标5。这些数据 是预测未来AD/ADRD影响的关键，如R01的目标5所建议的，原因有两个。首先，使用 最近的数据将使对非正式护理的使用和可获得性的预测更加准确。第二，越多 最近的几波HRS家族数据包括婴儿潮后期(1960-1965)队列的第一波，如 以及大量关于较老人群的额外信息。处理这些数据将是一个主要的 考虑到进入兰德HRS系列数据的每波300多个原始变量，以及 纵向链接儿童记录的复杂性。在2002年前，受访者子女的身份证不是 独一无二的，导致链接来自早期波的信息的困难以及在以后链接的困难 具有唯一ID的记录难以链接来自较早波的数据。虽然它是一个复杂和实质性的 操作以处理2016和2018年的数据，我们将能够在以前的现有计划的基础上进行构建 兰德HRS系列数据的发布。罗维德博士，R01上的调查员，兰德主任 人力资源数据开发工作，将与经验丰富的程序员团队合作完成这一工作。 我们将审查和改进儿童记录的跨波联系。利用可用的数据，我们 确定了我们可以增强纵向匹配算法的情况。这对于获得 对谁可能成为照顾者的可靠估计，特别是考虑到这种职责通常只限于 一个或几个家庭成员。为了提高研究的透明度和重现性，我们将 将我们的工作记录在兰德HRS系列数据码本中，包括我们在 2016年和2018年数据是由于HRS调查工具或数据记录方式的变化而产生的。我们 将向研究界提供增强的兰德HRS家庭数据。兰德HRS 自2011年首次提供家庭数据以来，已有6800次下载。再加上这些 最近的WAVE将有助于利用关于为AD/ADRD患者提供护理的更多研究。