Department of Social Sciences, University of Eastern Finland, Kuopio, Finland.
Society and Ageing Research Lab, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
J Gerontol B Psychol Sci Soc Sci. 2024 Sep 1;79(9). doi: 10.1093/geronb/gbae118.
The guiding principle of current aging policies has been to promote older adults to live in their private homes, but little attention has been paid to social exclusion of older adults receiving home-based care. The aim of this study is to increase understanding on different patterns of multidimensional social exclusion among older adults receiving formal home care services, and through this to shed light on the possible challenges of current aging-in-place policies.
The survey data were collected in 2022 among older adults aged 65 to 102 years receiving home care services in Finland and merged with administrative data (n = 733). A latent class analysis was used to identify different types of social exclusion. Multinomial logistic regression modeling examined factors associated with different social exclusion types.
Four social exclusion types were identified: (1) not excluded (16.9%), (2) homebound economically excluded (40.1%), (3) excluded from social relations (28.6%), and (4) multidimensionally excluded (14.3%). Poor self-rated health and poor functional ability significantly increase the risk of being multidimensionally excluded or homebound economically excluded. The group using home care and medical services the most are the most multidimensionally excluded. The group living in urban areas are more likely to be excluded from social relations.
Different types of social exclusion should be acknowledged when addressing social exclusion among home care clients. Enhanced measures should be developed to support older adults using home and healthcare services the most, as they are at high risk of severe exclusion.
当前的老龄化政策指导原则一直是促进老年人居住在自己的私人住宅中,但很少关注接受家庭护理的老年人所面临的社会排斥问题。本研究旨在增加对接受正规家庭护理服务的老年人中多维社会排斥不同模式的理解,并通过这种方式揭示当前就地老龄化政策可能面临的挑战。
2022 年,在芬兰,对 65 至 102 岁接受家庭护理服务的老年人进行了调查数据收集,并与行政数据(n=733)合并。使用潜在类别分析来确定不同类型的社会排斥。使用多项逻辑回归模型分析与不同社会排斥类型相关的因素。
确定了四种社会排斥类型:(1)未排斥(16.9%);(2)经济上被家庭束缚的排斥(40.1%);(3)被排斥于社会关系之外(28.6%);(4)多维排斥(14.3%)。自我评估健康状况差和功能能力差显著增加了多维排斥或经济上被家庭束缚排斥的风险。使用家庭护理和医疗服务最多的群体最有可能受到多维排斥。居住在城市地区的群体更有可能被排斥于社会关系之外。
在解决家庭护理客户的社会排斥问题时,应承认不同类型的社会排斥。应制定强化措施,为使用家庭和医疗保健服务最多的老年人提供支持,因为他们面临严重排斥的风险很高。