Evidence map›Paper›PMID 40233345›Full record

ArticleInteractive journal of medical research2025

Subtyping Service Receipt in Personality Disorder Services in South London: Observational Validation Study Using Latent Profile Analysis.

Jack Steadman, Rob Saunders, Mark Freestone, Robert Stewart

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jack SteadmanUnit for Psychological Medicine, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-6880-924X
Rob SaundersCentre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational, and Health Psychology, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7077-8729
Mark FreestoneUnit for Psychological Medicine, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0992-8468
Robert StewartInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4435-6397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonality disorders (PDs) are typically associated with higher mental health service use; however, individual patterns of engagement among patients with complex needs are poorly understood.

objectiveThe 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.

methodsA 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.

resultsUsing 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 (t

conclusionsThese 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.

Indexed as

applied health researchelectronic health recordslatent profile analysislatent variable mixture modelingpersonality disorderservice use

Identifiers

PMID40233345
PMCPMC12041827

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.