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COMPENSATION FOR ADL LIMITATIONS IN OLDER ADULTS

对老年人 ADL 限制的补偿

基本信息

批准号：
2705508
负责人：
NAOKO MURAMATSU
金额：
$ 6.96万
依托单位：
UNIVERSITY OF ILLINOIS AT CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
1998
资助国家：
美国
起止时间：
1998-07-15 至 2001-07-14
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/2705508
关键词：
age difference caregivers community health services extended care functional ability gender difference health care policy health care service utilization health services research tag health surveys home health care human data human old age (65+) racial /ethnic difference socioeconomics

项目摘要

The proposed study will examine how states' long-term care policy and local communities' societal and health resource factors as well as individuals' attributes are associated with use of compensation for activities of daily living (ADL's) among non-institutionalized adults aged 70 and older in the United States. Personal assistance (formal and informal helpers) and equipment assistance are the two major strategies used to compensate for activity limitations that are, commonly experienced by older adults. Previous studies on use of compensation have almost exclusively examined individual-level determinants, paying little attention to macro-level community factors. Our overarching hypothesis is that states' commitment to community-based home care and local communities' societal and health-care factors, in addition to older adults' predisposing, enabling and needs factors, influence (1) use of informal and formal personal assistance among those with activity limitations, (2) use of personal equipment assistance among those with mobility difficulties, and (3) unmet need for assistance with daily activities. Using a multi-level analysis framework, we will link individual-level survey data from the Assets and Health Dynamics among the Oldest Old (AHEAD) survey, Wave I, with state-and local community- level data from multiple sources including the Census, the Area Resource File, federal and state governmental: statistics and other appropriate data. The geocoded place of residence available only in the restricted AHEAD dat will provide a unique opportunity to analyze linked macro- level and individual-level data. Our findings on factors related to multiple compensation strategies will be useful for predicting use in the future and developing long-term care policy. Furthermore, substantive and methodological knowledge to be obtained from this study will provide a basis for future studies to examine linkages between macro-level and micro-level phenomena in the study of aging and health.

拟议的研究将研究各州的长期护理政策和当地社区的社会和卫生资源因素以及个人的属性与补偿的使用有关非收容成年人的日常生活活动 (ADL) 在美国70岁及以上。个人协助（正式和非正式帮手）和设备援助是两大策略用于补偿活动限制，通常是老年人经历过的。先前关于补偿使用的研究几乎专门研究了个人层面的决定因素，很少关注宏观层面的社区因素。我们的首要任务假设是各州对基于社区的家庭护理的承诺和当地社区的社会和医疗保健因素，此外老年人的倾向、促成和需求因素、影响 (1) 在活动人员中使用非正式和正式的个人协助限制，(2) 在有以下情况的人中使用个人设备援助行动困难，以及 (3) 日常协助需求未得到满足活动。使用多层次分析框架，我们将链接来自资产和健康动态的个人层面调查数据最古老 (AHEAD) 调查，第一波，与州和当地社区合作 - 来自多个来源的水平数据，包括人口普查、区域资源联邦和州政府文件：统计数据和其他适当的数据。地理编码的居住地仅在受限制的地区可用 AHEAD dat 将提供一个独特的机会来分析相关的宏观数据级别和个人级别的数据。我们对相关因素的研究结果多种补偿策略将有助于预测使用未来和制定长期护理政策。此外，从本研究中获得的实质性和方法论知识将为未来研究检验之间的联系提供基础衰老和健康研究中的宏观和微观现象。