Advancing Long -Term Care Research by Linking HRS and LTC Focus

通过将 HRS 和 LTC 焦点联系起来推进长期护理研究

基本信息

  • 批准号:
    8619396
  • 负责人:
  • 金额:
    $ 12.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-09-30 至 2015-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The Shaping Long-Term Care in America NIA funded program project grant (PPG) [P0-1-AG- 27296] being conducted at the Brown University Center for Gerontology and Health Care Research examines how state policies and market forces affect the availability and quality of nursing home care in the US. In addition to the 4 projects being undertaken, one aim of the PPG was to make data on the structure of the US long term care (LTC) system available to potential investigators in a public use form. Brown researchers have compiled data that detail the health and functional status of nursing home residents, the characteristics of care facilities, state long term care reimbursement policies, and the characteristics of markets in which facilities exist for the period 2000 to 2010. The data, currently available on the project website http://ltcfocus.org/, can be used interactively and the entire data base can be down-loaded at the provider, county or state aggregate level, allowing researchers to address their own questions. The site has been visited nearly 20,000 times and the data downloaded by nearly 1000 people so they can explore research questions related to the supply side of the long term care market. In spite of their usefulness to date in understanding provider behavior and documenting temporal and geographic variation in US nursing homes, a whole new class of questions could be addressed were the data linked with individual level data. Since the Health and Retirement Study (HRS) is the largest and longest running national survey of the elderly population, it is an obvious extension of our efforts to make these data available to link them to the HRS. Linking residential information (i.e. zip codes, county or state codes) or provider identification numbers makes it possible to estimate the effect of market and provider characteristics (e.g quality, re-hospitalization, service mix, et.) on individuals' long term care service use choices. Similarly, county level data, such as the number of nursing home beds in the county, and state level policy data, such as the Medicaid payment rate, are available. Indeed, county and state level data can be utilized with HRS data regardless of whether they are also linked to provider files, because they provide contextual information that may influence the choices made by, and outcomes experienced by older adults. The overall goal of this data archiving proposal is to convert LTCFocus into an off the shelf module linkable to HRS restricted data files. The specific aims of this project are to: 1) Update, clean and convert the 2000 to 2010 provider, county and state level LTCFocus data into downloadable files that can be linked with HRS data; 2) Document and prepare a user manual consistent with HRS documentation standards; 3) Test the final product by analyzing HRS restricted files linked to LTCFocus data and revise and deliver the final product to the HRS.
描述(由申请人提供):美国国家IA 资助的“塑造长期护理”计划项目拨款 (PPG) [P0-1-AG-27296] 正在布朗大学老年学和医疗保健研究中心进行,该项目审查国家政策和医疗保健研究如何市场力量影响美国疗养院护理的可用性和质量。除了正在开展的 4 个项目外,PPG 的目标之一是以公共使用形式向潜在调查人员提供有关美国长期护理 (LTC) 系统结构的数据。布朗大学的研究人员编制了详细数据,详细介绍了 2000 年至 2010 年期间疗养院居民的健康和功能状况、护理设施的特点、州长期护理报销政策以及设施所在市场的特征。可以在项目网站 http://ltcfocus.org/ 上获取,可以交互使用,整个数据库可以在提供商、县或州总体级别下载,从而使研究人员能够解决自己的问题。该网站已被访问近 20,000 次,近 1000 人下载了数据,以便他们可以探索与长期护理市场供给方相关的研究问题。尽管迄今为止它们在了解美国疗养院的提供者行为和记录时间和地理变化方面很有用,但如果数据与个人层面的数据相关联,则可以解决一类全新的问题。由于健康与退休研究 (HRS) 是对老年人口进行的规模最大、运行时间最长的全国性调查,因此,我们将这些数据与 HRS 联系起来,这显然是我们努力的延伸。将住宅信息(即邮政编码、县或州代码)或提供者识别号联系起来,可以估计市场和提供者特征(例如质量、再住院、服务组合等)对个人长期护理服务的影响使用选择。同样,县级数据(例如县内疗养院床位数量)和州级政策数据(例如医疗补助支付率)也可用。事实上,县和州级数据可以与 HRS 数据一起使用,无论它们是否也链接到提供者文件,因为它们提供的上下文信息可能会影响老年人做出的选择和经历的结果。该数据归档提案的总体目标是将 LTCFocus 转换为可链接到 HRS 受限数据文件的现成模块。该项目的具体目标是: 1) 更新、清理并将 2000 年至 2010 年提供商、县和州级 LTCFocus 数据转换为可与 HRS 数据链接的可下载文件; 2)记录并准备符合HRS文档标准的用户手册; 3) 通过分析链接到 LTCFocus 数据的 HRS 限制文件来测试最终产品,并修改最终产品并将其交付给 HRS。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Vincent Mor其他文献

Vincent Mor的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Vincent Mor', 18)}}的其他基金

Administrative Core
行政核心
  • 批准号:
    10443663
  • 财政年份:
    2019
  • 资助金额:
    $ 12.35万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10673657
  • 财政年份:
    2019
  • 资助金额:
    $ 12.35万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10229426
  • 财政年份:
    2019
  • 资助金额:
    $ 12.35万
  • 项目类别:
METRIcAL - Music & MEmory: a Pragmatic TRIal for Nursing Home Residents with ALzheimer's Disease
韵律 - 音乐
  • 批准号:
    9792233
  • 财政年份:
    2017
  • 资助金额:
    $ 12.35万
  • 项目类别:
METRIcAL - Music & MEmory: a Pragmatic TRIal for Nursing Home Residents with ALzheimer's Disease
韵律 - 音乐
  • 批准号:
    10219946
  • 财政年份:
    2017
  • 资助金额:
    $ 12.35万
  • 项目类别:
The Effect of Reduction and Standardization of Reimbursements in the VA Fee-Basis Program: Impact on Quality of Care and Health Outcomes
VA 收费计划中报销减少和标准化的效果:对护理质量和健康结果的影响
  • 批准号:
    9757710
  • 财政年份:
    2017
  • 资助金额:
    $ 12.35万
  • 项目类别:
Caregivers' Reactions and Experience: Imaging Dementia Evidence for Amyloid Scanning CARE IDEAS
护理人员的反应和经验:淀粉样蛋白扫描的痴呆症影像证据 护理理念
  • 批准号:
    9316753
  • 财政年份:
    2016
  • 资助金额:
    $ 12.35万
  • 项目类别:
Emerging Role of Medicare Advantage in Nursing Home Care
医疗保险优势在疗养院护理中的新兴作用
  • 批准号:
    8874822
  • 财政年份:
    2014
  • 资助金额:
    $ 12.35万
  • 项目类别:
Emerging Role of Medicare Advantage in Nursing Home Care
医疗保险优势在疗养院护理中的新兴作用
  • 批准号:
    8673221
  • 财政年份:
    2014
  • 资助金额:
    $ 12.35万
  • 项目类别:
Advancing Long -Term Care Research by Linking HRS and LTC Focus
通过将 HRS 和 LTC 焦点联系起来推进长期护理研究
  • 批准号:
    8738574
  • 财政年份:
    2013
  • 资助金额:
    $ 12.35万
  • 项目类别:

相似国自然基金

本体驱动的地址数据空间语义建模与地址匹配方法
  • 批准号:
    41901325
  • 批准年份:
    2019
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
时空序列驱动的神经形态视觉目标识别算法研究
  • 批准号:
    61906126
  • 批准年份:
    2019
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
  • 批准号:
    61802432
  • 批准年份:
    2018
  • 资助金额:
    25.0 万元
  • 项目类别:
    青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
  • 批准号:
    61802133
  • 批准年份:
    2018
  • 资助金额:
    23.0 万元
  • 项目类别:
    青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
  • 批准号:
    61872252
  • 批准年份:
    2018
  • 资助金额:
    64.0 万元
  • 项目类别:
    面上项目

相似海外基金

Climate Change Effects on Pregnancy via a Traditional Food
气候变化通过传统食物对怀孕的影响
  • 批准号:
    10822202
  • 财政年份:
    2024
  • 资助金额:
    $ 12.35万
  • 项目类别:
Investigating the Effect of FLASH-Radiotherapy on Tumor and Normal Tissue
研究 FLASH 放射治疗对肿瘤和正常组织的影响
  • 批准号:
    10650476
  • 财政年份:
    2023
  • 资助金额:
    $ 12.35万
  • 项目类别:
Clonal hematopoiesis and inherited genetic variation in sickle cell disease
镰状细胞病的克隆造血和遗传变异
  • 批准号:
    10638404
  • 财政年份:
    2023
  • 资助金额:
    $ 12.35万
  • 项目类别:
Functional, structural, and computational consequences of NMDA receptor ablation at medial prefrontal cortex synapses
内侧前额皮质突触 NMDA 受体消融的功能、结构和计算后果
  • 批准号:
    10677047
  • 财政年份:
    2023
  • 资助金额:
    $ 12.35万
  • 项目类别:
Functional, structural, and computational consequences of NMDA receptor ablation at medial prefrontal cortex synapses
内侧前额皮质突触 NMDA 受体消融的功能、结构和计算后果
  • 批准号:
    10677047
  • 财政年份:
    2023
  • 资助金额:
    $ 12.35万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了