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
• 负责人: Vincent Mor
• 金额: $ 12.35万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8738574
• 关键词: Acute; Address; Affect; Age; American; Americas; Archives; Beds; Behavior; Caring; Cessation of life; Characteristics; Code; County; Data; Data Files; Databases; Decision Making; Decubitus ulcer; Documentation; Elderly; Evolution; Family; Family member; Funding; Gerontology; Goals; Health; Health Services Research; Health Status; Home Nursing Care; Home environment; Hospitalization; Individual; Industry; Insurance Coverage; Interview; Letters; Life; Link; Long-Term Care; Manuals; Marketing; Medicaid; Medicare claim; Mental Health; Nursing Homes; Outcome; Patients; Policies; Population; Population Study; Program Research Project Grants; Provider; Research; Research Personnel; Retirement; Running; Sampling; Services; Shapes; Side; Site; Source; Structure; Support System; Surveys; Testing; Time; Universities; Update; Visit; Work; care systems; cohort; experience; functional status; geographic difference; health care service utilization; hospice environment; payment; physical conditioning; web site

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NIA资助的计划项目赠款（PPG）的长期护理[P0-1-AG-27296]在Brown Brown University gerontology and Health Care Carey Center进行，研究州政策和市场力量如何影响US中疗养院护理的可用性和质量。除了进行的4个项目外，PPG的目标是制作有关美国长期护理（LTC）系统的数据，以公共使用形式可供潜在的调查人员使用。布朗研究人员已经编制了数据，以详细详细介绍疗养院居民的健康和功能状况，护理设施的特征，州长期护理补偿政策以及2000年至2010年期间存在设施的市场特征。目前可在项目网站上使用的http：//ltcfocus.org/可以使用的数据，可用于互动互动，可用于互动互动，可用于互动互动 - 级别，允许研究人员解决自己的问题。该网站已被访问了近20,000次，并由近1000人下载的数据，因此他们可以探索与长期护理市场供应方面有关的研究问题。尽管它们迄今为止在理解提供商的行为以及记录美国疗养院的时间和地理变化方面的有用性，但可以解决与个人级别数据相关的数据，可以解决全新的问题。由于健康和退休研究（HRS）是对老年人口的最大，最长的全国调查，因此，这显然是我们努力使这些数据可用来将其链接到HRS的努力。将住宅信息（即邮政编码，县或州代码）或提供商识别号链接起来，可以估算市场和提供商特征（例如质量，重新住院，服务组合等）对个人长期护理服务使用选择的影响。同样，县级数据（例如该县的疗养院床的数量以及州一级的政策数据，例如医疗补助支付率）。实际上，无论它们是否也链接到提供商文件，县和州级数据都可以使用人力资源数据来利用，因为它们提供的上下文信息可能会影响可能影响的选择以及老年人所经历的结果。此数据归档建议的总体目标是将LTCFocus转换为可连接到HRS受限数据文件的OFF架子模块。该项目的具体目的是：1）更新，清洁并将2000年的提供商，县和州级LTCFOCUS数据转换为可下载的文件，这些文件可以与HRS数据链接； 2）文档并准备与HRS文档标准一致的用户手册； 3）通过分析链接到LTCFOCUS数据的HRS限制文件，修改并将最终产品交付给HRS，测试最终产品。