{"title":"孤独是接受社区照顾的老年人进入养老院时间的风险因素。","authors":"Sam Rickman, Jose-Luis Fernandez, Juliette Malley","doi":"10.1093/geroni/igaf010","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>International efforts to contain long-term care costs have prioritized 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 modeling of time to care home entry.</p><p><strong>Research design and methods: </strong>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 5 years after assessment, controlling for needs and demographics. We use logistic regression and a competing risks survival model to measure the time until care home entry.</p><p><strong>Results: </strong>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 and 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.</p><p><strong>Discussion and implications: </strong>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 centers, 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.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"9 6","pages":"igaf010"},"PeriodicalIF":4.9000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12149530/pdf/","citationCount":"0","resultStr":"{\"title\":\"Loneliness as a Risk Factor for Time to Care Home Entry for Older Adults Receiving Community Care.\",\"authors\":\"Sam Rickman, Jose-Luis Fernandez, Juliette Malley\",\"doi\":\"10.1093/geroni/igaf010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objectives: </strong>International efforts to contain long-term care costs have prioritized 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 modeling of time to care home entry.</p><p><strong>Research design and methods: </strong>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 5 years after assessment, controlling for needs and demographics. We use logistic regression and a competing risks survival model to measure the time until care home entry.</p><p><strong>Results: </strong>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 and 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.</p><p><strong>Discussion and implications: </strong>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 centers, 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. 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引用次数: 0
摘要
背景和目标:控制长期护理费用的国际努力优先考虑个人护理。然而,减少旨在解决孤独或促进社会参与的服务可能会影响对长期护理设施的需求。关于孤独感对进入住宿或护理服务的影响的研究是基于调查数据,这不足以代表那些有最高需求的人。行政记录包括这些个人,并且与调查不同,它包含服务接收的连续数据,从而能够准确地模拟进入养老院的时间。研究设计和方法:我们使用了在伦敦地方当局接受护理的1101个人的管理数据。我们使用大型语言模型从免费文本笔记中提取孤独感,并在评估后5年模拟其对养老院入住的影响,控制需求和人口统计学。我们使用逻辑回归和竞争风险生存模型来衡量直到进入养老院的时间。结果:进入养老院与孤独感相关的比值比为1.45,经logistic回归分析(95% CI 1.04-2.01)。使用原因特异性模型的风险比为1.32 (95% CI 1.01-1.72),使用Fine and Gray方法的风险比为1.39 (95% CI 1.08-1.79)。在那些最有可能进入养老院的人中,那些孤独的人进入养老院的中位时间要早9个月(95% CI 228-328天)。讨论与启示:进入护理院的孤独感风险比与性别、种族或独居相关。然而,孤独是可以改变的。社会参与服务的减少,如日托中心,可能会导致孤独感的增加。我们证明,对于那些有最高需求的人来说,孤独是一个重要的风险因素,直到进入养老院。政策制定者想要推迟进入养老院的时间,应该考虑为孤独提供服务的影响。
Loneliness as a Risk Factor for Time to Care Home Entry for Older Adults Receiving Community Care.
Background and objectives: International efforts to contain long-term care costs have prioritized 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 modeling 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 5 years after assessment, controlling for needs and demographics. We use logistic regression and a competing risks survival model to measure the 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 and 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 centers, 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.
期刊介绍:
Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.