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Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis

BACKGROUND: Ageing in place is the preferred choice for most older adults worldwide. The role of the family as a core care resource has diminished as a result of changes in family structure, thus extending the responsibility for caring for older adults from within the family to outside it and requir...

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Autores principales: Xiao, Feng, Cao, Songmei, Xiao, Mingzhao, Xie, Liling, Zhao, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983178/
https://www.ncbi.nlm.nih.gov/pubmed/36869322
http://dx.doi.org/10.1186/s12877-023-03830-4
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author Xiao, Feng
Cao, Songmei
Xiao, Mingzhao
Xie, Liling
Zhao, Qinghua
author_facet Xiao, Feng
Cao, Songmei
Xiao, Mingzhao
Xie, Liling
Zhao, Qinghua
author_sort Xiao, Feng
collection PubMed
description BACKGROUND: Ageing in place is the preferred choice for most older adults worldwide. The role of the family as a core care resource has diminished as a result of changes in family structure, thus extending the responsibility for caring for older adults from within the family to outside it and requiring considerably more support from society. However, there is a shortage of formal and qualified caregivers in many countries, and China has limited social care resources. Therefore, it is important to identify home care patterns and family preferences to provide effective social support and reduce government costs. METHODS: Data were obtained from the Chinese Longitudinal Healthy Longevity Study 2018. Latent class analysis models were estimated using Mplus 8.3. Multinomial logistic regression analysis was adopted to explore the influencing factors with the R3STEP method. Lanza’s method and the chi-square goodness-of-fit test were used to explore community support preferences among different categories of families of older adults with disabilities. RESULTS: Three latent classes were identified based on older adults with disabilities’ characteristics (degree of disability, demand satisfaction), caregivers’ characteristics (length of providing care, care performance) and living status: Class 1- mild disability and strong care (46.85%); Class 2- severe disability and strong care (43.92%); and Class 3- severe disability and incompetent care (9.24%). Physical performance, geographic region and economic conditions jointly influenced home care patterns (P < 0.05). Home visits from health professionals and health care education were the top two forms of community support that were most preferred by the older adults with disabilities’ families (residual > 0). Families in the Class 3 subgroup preferred personal care support more than those in the other two subgroups (P < 0.05). CONCLUSION: Home care is heterogeneous across families. Older adults’ degrees of disability and care needs may be varied and complex. We classified different families into homogeneous subgroups to reveal differences in home care patterns. The findings can be used by decision-makers in their attempts to design long-term care arrangements for home care and to adjust the distribution of resources for the needs of older adults with disabilities.
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spelling pubmed-99831782023-03-04 Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis Xiao, Feng Cao, Songmei Xiao, Mingzhao Xie, Liling Zhao, Qinghua BMC Geriatr Research Article BACKGROUND: Ageing in place is the preferred choice for most older adults worldwide. The role of the family as a core care resource has diminished as a result of changes in family structure, thus extending the responsibility for caring for older adults from within the family to outside it and requiring considerably more support from society. However, there is a shortage of formal and qualified caregivers in many countries, and China has limited social care resources. Therefore, it is important to identify home care patterns and family preferences to provide effective social support and reduce government costs. METHODS: Data were obtained from the Chinese Longitudinal Healthy Longevity Study 2018. Latent class analysis models were estimated using Mplus 8.3. Multinomial logistic regression analysis was adopted to explore the influencing factors with the R3STEP method. Lanza’s method and the chi-square goodness-of-fit test were used to explore community support preferences among different categories of families of older adults with disabilities. RESULTS: Three latent classes were identified based on older adults with disabilities’ characteristics (degree of disability, demand satisfaction), caregivers’ characteristics (length of providing care, care performance) and living status: Class 1- mild disability and strong care (46.85%); Class 2- severe disability and strong care (43.92%); and Class 3- severe disability and incompetent care (9.24%). Physical performance, geographic region and economic conditions jointly influenced home care patterns (P < 0.05). Home visits from health professionals and health care education were the top two forms of community support that were most preferred by the older adults with disabilities’ families (residual > 0). Families in the Class 3 subgroup preferred personal care support more than those in the other two subgroups (P < 0.05). CONCLUSION: Home care is heterogeneous across families. Older adults’ degrees of disability and care needs may be varied and complex. We classified different families into homogeneous subgroups to reveal differences in home care patterns. The findings can be used by decision-makers in their attempts to design long-term care arrangements for home care and to adjust the distribution of resources for the needs of older adults with disabilities. BioMed Central 2023-03-03 /pmc/articles/PMC9983178/ /pubmed/36869322 http://dx.doi.org/10.1186/s12877-023-03830-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Xiao, Feng
Cao, Songmei
Xiao, Mingzhao
Xie, Liling
Zhao, Qinghua
Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis
title Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis
title_full Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis
title_fullStr Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis
title_full_unstemmed Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis
title_short Patterns of home care and community support preferences among older adults with disabilities in China: a latent class analysis
title_sort patterns of home care and community support preferences among older adults with disabilities in china: a latent class analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983178/
https://www.ncbi.nlm.nih.gov/pubmed/36869322
http://dx.doi.org/10.1186/s12877-023-03830-4
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