Isqua17-2039patient-Centered Care and Leadership Standards Compliance: A Latent Class Analysis

Rodríguez-Benavente, A.; Herrera-Usagre, Manuel; Palop-Río, Á.; Barrera-Vargas, Á.

doi:10.1093/intqhc/mzx125.40

Cited by 1 publication

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“…The exploratory work described in this article sought to derive such a schema via a new application of latent class analysis (LCA), a statistical approach for identifying subgroups of related cases from multivariate categorical data (Goodman, 1974;Magidson and Vermunt, 2002). While LCA has previously been used to identify groups of healthcare services based on their common service features (eg, Mauro et al, 2016;Rodríguez-Benavente et al, 2017), to the best of our knowledge no previous studies have used this approach to categorise specialist healthcare support services for care homes.…”

Section: Introductionmentioning

confidence: 99%

Specialist healthcare services for UK care home residents: a latent class analysis

Hargreaves

Tucker

Hughes

et al. 2019

Prim Health Care Res Dev

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Aim: To identify discrete approaches to specialist healthcare support for older care home residents in the UK and to estimate their prevalence. Background: Internationally, 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. Method: A 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. Findings: Three 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. Conclusions: LCA 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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Section: Introductionmentioning

confidence: 99%