Freestone, Mark, Steadman, Jack, Saunders, Rob and Stewart, Robert (2025) Subtyping Service Receipt in Personality Disorder Services in South London: Observational Validation Study Using Latent Profile Analysis. Interactive Journal of Medical Research, 14 . ISSN 1929-073X

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Abstract

Background: Personality disorders (PDs) are typically associated with higher mental health service use; however, individual patterns of engagement among patients with complex needs are poorly understood. Objective: The study aimed to identify subgroups of individuals based on patterns of service receipt in secondary mental health services and examine how routinely collected information is associated with these subgroups. Methods: A sample of 3941 patients diagnosed with a personality disorder and receiving care from secondary services in South London was identified using health care records covering an 11-year period from 2007 to 2018. Basic demographic information, service use, and treatment data were included in the analysis. Service use measures included the number of contacts with clinical teams and instances of did-not-attend. Results: Using a large sample of 3941 patients with a diagnosis of PD, latent profile analysis identified 2 subgroups characterized by low and high service receipt, denoted as profile 1 (n=2879, 73.05%) and profile 2 (n=1062, 26.95%), respectively. A 2-profile solution (P<.01) was preferred over a 3-profile solution, which was nonsignificant. In unconditional (t3941,3939=19.53; P<.001; B=7.27; 95% CI 6.54-8) and conditional (t3941,3937=−3.31; P<.001; B=−74.94; 95% CI −119.34 to −30.56) models, cluster membership was significantly related to receipt of nursing contacts, over and above other team contacts. Conclusions: These results suggest that routinely collected data may be used to classify likely engagement subtypes among patients with complex needs. The algorithm identified factors associated with service use and has the potential to inform clinical decision-making to improve treatment for individuals with complex needs.

Item Type:	Article
Additional Information:	Published on 15.04.2025 in Vol 14 (2025) Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55348, first published December 11, 2023.
Uncontrolled Keywords:	latent profile analysis; latent variable mixture modeling; service use; personality disorder; applied health research; electronic health records
Subjects:	Disabilities & Disorders (mental & physical) > Personality Disorders (e.g. narcissism) Health and Medical Sciences > Patient Care
Department/People:	Department of Education and Training
URI:	https://repository.tavistockandportman.ac.uk/id/eprint/2975

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