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.

R 01赠款的目标“随着时间的推移痴呆症患病率：近因和后果”，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）在老年人群中。R 01的具体目标5是“预测非正式 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，我们计划依靠 兰德HRS系列数据。该数据集清理并简化了HRS关于受访者 儿童，父母，兄弟姐妹和照顾者，可以从两个方面分析AD/ADRD患者的护理 角度：当HRS应答者接受AD/ADRD治疗时;当HRS应答者提供以下治疗时 AD/ADRD的父母不幸的是，在我们最初的R 01赠款申请时，我们并不知道， 对兰德HRS家族数据文件的资金支持在纳入2014年HRS数据后停止。因此，我们认为， 我们将不得不清理和处理HRS 2016和HRS 2018系列数据，以完全实现目标5。这些数据 对于R 01目标5中提出的预测未来AD/ADRD效应至关重要，原因有两个。首先利用 最新数据将使对非正规护理的使用和提供情况的预测更加准确。第二，越 最近几波HRS家庭数据包括婴儿潮后期（1960-1965）队列的第一波， 以及大量关于老年群体的额外信息。处理这些数据将是一个主要的 考虑到兰德HRS系列数据中每个波有300多个原始变量， 纵向连接儿童记录的复杂性。在2002年之前，受访者子女的身份证没有 独特，导致难以连接来自早期波的信息以及难以连接以后的信息 从具有唯一ID的记录到难以链接的早期波数据。虽然这是一个复杂和实质性的 通过处理2016年和2018年的数据，我们将能够在现有计划的基础上， 发布兰德HRS系列数据。Rohwedder博士，R 01研究员，兰德公司董事 HRS数据开发工作将与经验丰富的程序员团队合作完成这项工作。 我们将研究和改善儿童记录的跨波联系。根据现有数据，我们 确定的情况下，我们可以增强纵向匹配算法。这对于获得 可靠的估计，谁可能成为一个照顾者，特别是考虑到这种职责通常下降到刚刚 一个或几个家庭成员。为了提高研究的透明度和重复性，我们会 将我们的工作记录在兰德HRS系列数据代码本中，包括我们在 2016年和2018年数据因HRS调查工具或数据记录方式的变化而产生。我们 将向研究界提供增强的兰德HRS家族数据。兰德HRS 自2011年首次提供家庭数据以来，已收到6 800次下载。添加这些 最新的浪潮将有助于利用更多的研究，为那些生活在AD/ADRD的人提供护理。