Community-Dwelling Older Adults' Intended Use of Different Types of Long-Term Care in China and Its Associated Factors Based on the Andersen Behavioral Model

基于安德森行为模型的中国社区老年人对不同类型长期照护服务的使用意愿及其相关因素

阅读:2

Abstract

In light of the increased demand for long-term care services in China, there is an ongoing discussion on what factors contribute to older adults' intended use of long-term care services. This study empirically recruited 239 community-dwelling older adults aged ≥60 years in China and explored factors influencing their intended use of four types of long-term care (basic life care, basic medical care, rehabilitation care, and psychological care) based on the Andersen behavioral model (i.e., predisposing characteristics, enabling resources, and need factors). The results showed that older adults were most likely to use psychological care. Age (as the predisposing characteristic) was the significant predictor of the intended use of four types of care. Regarding the intended use of basic life care, the enabling resources of marital status, household composition, income, as well as need factors of preference for the care setting, were influential. Moreover, income and need factors of self-rated physical health status were only two variables associated with the intended use of basic medical care. Concerning the intended use of rehabilitation care, household composition, income, self-rated physical health status, and preference for the care setting were significant predictors. The intended use of psychological care was influenced by enabling resources of marital status, household composition, and need factors of self-rated physical health status, preference for the care setting, and preference for the caregiver. These results can promote the sensitivity of policymakers and caregivers to the community-dwelling older adults' intended use of long-term care and contribute to the delivery of appropriate care services by public policy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。