Patterns of Multidimensional Social Exclusion Among Older Home Care Services Recipients

Author:

Ristolainen Hanna1ORCID,Van Regenmortel Sofie2ORCID,De Donder Liesbeth2ORCID,Vercauteren Toon2ORCID,Lehtiö Johanna1,Tiilikainen Elisa1ORCID

Affiliation:

1. Department of Social Sciences, University of Eastern Finland , Kuopio , Finland

2. Society and Ageing Research Lab, Vrije Universiteit Brussel (VUB) , Brussels , Belgium

Abstract

Abstract Objectives 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. Methods 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. Results 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. Discussion 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.

Funder

Research Council of Finland

Publisher

Oxford University Press (OUP)

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