Abstract

Background and Objectives

International efforts to contain long-term care costs have prioritised personal care. However, reductions in services aimed at addressing loneliness or promoting social participation may affect demand for long-term care facilities. Research on the impact of loneliness on entry to residential or nursing care is based on survey data, which under-represents those with highest needs. Administrative records include such individuals and, unlike surveys, contain continuous data on service receipt, enabling accurate modelling of time to care home entry.

Research Design and Methods

We use administrative data for 1,101 individuals receiving care in a London local authority. We extract loneliness from free text notes using a large language model and model its impact on care home entry five years after assessment, controlling for needs and demographics. We use logistic regression and a competing risks survival model to measure time until care home entry.

Results

The odds ratio for care home entry associated with loneliness is 1.45 with logistic regression (95% CI 1.04 – 2.01). The hazard ratio is 1.32 (95% CI 1.01 – 1.72) with a cause-specific model, and 1.39 (95% CI 1.08 - 1.79) using the Fine & Gray method. Among those most likely to enter a care home, the median time to entry is 9 months (95% CI 228 - 328 days) earlier for those who are lonely.

Discussion and Implications

The hazard ratio of loneliness on care home entry is around the magnitude associated with gender, ethnicity or living alone. However, loneliness is modifiable. Reductions to services for social participation, such as day centres, are likely to cause an increase in loneliness. We demonstrate that for those with the highest needs, loneliness is a significant risk factor for time until care home entry. Policymakers seeking to delay care home entry should consider the impact of services for loneliness.

Information Accepted manuscripts
Accepted manuscripts are PDF versions of the author’s final manuscript, as accepted for publication by the journal but prior to copyediting or typesetting. They can be cited using the author(s), article title, journal title, year of online publication, and DOI. They will be replaced by the final typeset articles, which may therefore contain changes. The DOI will remain the same throughout.
This content is only available as a PDF.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.