ArticlePrimary health care research & development2019
Specialist healthcare services for UK care home residents: a latent class analysis.
Article in Primary health care research & development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Medication refusal in residential aged care homes: A qualitative exploratory study.Nursing ethics · 2026Article
- Uncovering Four Types of Care Coordination in Primary Care.Journal of the American Board of Family Medicine : JABFM · 2025Observational
- Patterns of visiting nurse services for older adults in Japanese residential facilities: A latent class analysis.Geriatrics & gerontology international · 2023Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
aimTo identify discrete approaches to specialist healthcare support for older care home residents in the UK and to estimate their prevalence.
backgroundInternationally, a range of new initiatives are emerging to meet the multiple and complex healthcare needs of care home residents. However, little is known about their relative effectiveness and, given their heterogeneity, a classification scheme is required to enable research staff to explore this.
methodA UK survey collected information on the funding, age, coverage, aims, staffing and activities of 64 specialist care home support services. Latent class analysis (LCA) was used to allocate the sample into subgroups with similar characteristics.
findingsThree classes were identified. Class 1 (55% of sample) contained services with a high probability of providing scheduled input (regular preplanned visits) and support for all residents and a moderate probability of undertaking medication management, but a low probability of training care home staff ('predominantly direct care'). Class 2 (23% of sample) had a moderate/high probability of providing scheduled input, support for all residents, medication management and training ('direct and indirect care'). Class 3 (22% of sample) had a low probability of providing scheduled input, support for all residents and medication management, but a high probability of providing training for care home staff ('predominantly indirect care'). Consultants were more likely to be members of services in Class 1 than Class 2, and Class 2 than Class 3.
conclusionsLCA offers a promising approach to the creation of a taxonomy of specialist care home support services. The skills and knowledge required by healthcare staff vary between classes, raising important issues for service design. The proposed classification can be used to explore the extent to which different organisational forms are associated with better resident, process and service outcomes.
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