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的目标“随着时间的流逝痴呆症患病率：直接的原因和后果”，包括 量化阿尔茨海默氏病和阿尔茨海默氏病有关的几个后果 （AD/ADRD）在老年人群中。 R01的具体目标5是“预测非正式的使用和可用性 关心以及它将如何影响护士的家庭使用和费用。”为了进行这项研究，我们计划依靠 Rand HRS家庭数据。此数据集，清洁和简化了有关受访者的信息的HRS信息 孩子，父母，兄弟姐妹和照料者，可以分析两个来自两个人的广告/adrd的人 角度：当人力资源响应会得到广告/ADRD的护理；当人力资源响应时， 父母有广告/adrd。不幸的是，在我们原始R01赠款申请时，我们不知道 RAND HRS家庭数据文件的资金支持在2014 HRS数据收入后停止。因此， 我们将不得不清洁和处理HRS 2016和HRS 2018家庭数据以实现Apply AIM 5。这些数据 对于预测R01 AIM 5中提出的未来AD/ADRD效应至关重要，原因有两个。首先，使用 最新的数据将使非正式护理的使用和可用性更加准确。第二，越多 HRS家族数据最近的浪潮包括已故婴儿潮一代（1960- 1965年）的第一波，如 以及有关较旧队列的大量其他信息。处理这些数据将是主要的 鉴于每波浪的300多个原始变量进入了Rand HRS家庭数据，以及 纵向连接儿童记录的复杂性。在2002年之前，受访者的孩子的ID不是 唯一的，导致难以连接到早期波的信息，以及以后连接的困难 具有独特ID的记录，可从较早的波浪中进行难以链接数据。虽然这是一个复杂而实质性的 处理2016年和2018年数据的操作，我们将能够基于先前的现有程序 释放RAND HRS家庭数据。 ROHWEDDER博士，R01的调查员和兰特的主任 HRS数据开发工作将与一个经验丰富的程序员团队合作，以实现这一工作。 我们将检查并改善儿童记录的跨波连接。使用可用数据，我们 确定了我们可以增强纵向匹配算法的情况。这对于获得很重要 可靠的估计是谁可能成为照料者，特别是考虑到这些职责通常落到 一个或很少的家庭成员。为了提高我们研究的透明度和可重复性，我们将 在Rand HRS家庭数据代码书中记录我们的工作，包括我们发现的任何跨波差异 2016年和2018年的数据是由HRS调查工具的变化或记录数据的变化产生的。我们 将使研究社区获得增强的RAND HRS家庭数据。兰德HRS 自2011年首次提供以来，家庭数据已收到6,800个下载。 最新的浪潮将有助于利用有关AD/ADRD的人提供护理的其他研究。