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

Abstract

Abstract 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). 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.

Keywords

• Home care
• Older adults
• Community support
• Latent class analysis
• Preference