A multidimensional approach for differentiating the clinical needs of young people presenting for primary mental health care.

Bipolar disorder Depression Health services Latent class analysis Mental health Stratified Care Youth

Journal

Comprehensive psychiatry
ISSN: 1532-8384
Titre abrégé: Compr Psychiatry
Pays: United States
ID NLM: 0372612

Informations de publication

Date de publication:
10 2023
Historique:
received: 14 03 2023
revised: 18 07 2023
accepted: 20 07 2023
medline: 11 9 2023
pubmed: 1 8 2023
entrez: 31 7 2023
Statut: ppublish

Résumé

There is an ongoing necessity to match clinical interventions with the multidimensional needs of young people. A key step toward better service planning and the design of optimal models of care is to use multidimensional assessment to understand the clinical needs of those presenting to primary mental health care. 1284 people aged 12-25 years presenting to primary youth mental health services completed an online assessment at service entry. Latent class analysis was conducted for seven scales assessing anxiety, depression, psychosis, mania, functioning (indexed by Work and Social Adjustment Scale), and suicidality. A three-class solution was identified as the optimal solution. Class 1 (n = 305, 23.75%), an early illness stage group, had low and mixed symptomatology with limited functional impairment, class 2 (n = 353, 27.49%) was made up of older persons with established depression and functional impairment, and class 3 (n = 626, 48.75%) had very high and complex needs, with functional impairment, suicidality, and at-risk mental states (psychosis or mania). Additional differentiating characteristics included psychological distress, circadian disturbances, social support, mental health history, eating disorder behaviours, and symptoms of post-traumatic stress disorder. A large proportion of help-seeking young people present with symptoms and functional impairment that may exceed the levels of care available from basic primary care or brief intervention services. These subgroups highlight the importance of multidimensional assessments to determine appropriate service pathways and care options.

Identifiants

pubmed: 37524044
pii: S0010-440X(23)00041-X
doi: 10.1016/j.comppsych.2023.152404
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

152404

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Tracey Davenport is now Director (Research and Evaluation) of the Design and Strategy Division, Australian Digital Health Agency. A/Prof Elizabeth Scott is Principal Research Fellow at the Brain and Mind Centre, The University of Sydney. She is Discipline Leader of Adult Mental Health, School of Medicine, University of Notre Dame, and a Consultant Psychiatrist. She was the Medical Director, Young Adult Mental Health Unit, St Vincent’s Hospital Darlinghurst until January 2021. She has received honoraria for educational seminars related to the clinical management of depressive disorders supported by Servier, Janssen and Eli-Lilly pharmaceuticals. She has participated in a national advisory board for the antidepressant compound Pristiq, manufactured by Pfizer. She was the National Coordinator of an antidepressant trial sponsored by Servier. Professor Ian B Hickie is the Co-director, Health and Policy at the Brain and Mind Centre, University of Sydney. The Brain and Mind Centre operates an early-intervention youth service at Camperdown under contract to headspace. He is the Chief Scientific Advisor to, and a 3.2% equity shareholder in, InnoWell Pty Ltd. InnoWell was formed as a joint venture by the University of Sydney (32% equity) and PwC (Australia; 32% equity) to deliver the $30 million Australian Government–funded Project Synergy (2017–2020; a three-year program for the transformation of mental health services) and to lead transformation of mental health services internationally through the use of innovative technologies. No other competing interests were reported.

Auteurs

William Capon (W)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: william.capon@sydney.edu.au.

Ian B Hickie (IB)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: ian.hickie@sydney.edu.au.

Masoud Fetanat (M)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: m.fetanat@sydney.edu.au.

Mathew Varidel (M)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: mathew.varidel@sydney.edu.au.

Haley M LaMonica (HM)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: haley.lamonica@sydney.edu.au.

Ante Prodan (A)

Brain and Mind Centre, The University of Sydney, Australia; Translational Health Research Institute, Western Sydney University, Australia; School of Computer, Data and Mathematical Sciences, Western Sydney University, Australia. Electronic address: ante.prodan@sydney.edu.au.

Sarah Piper (S)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: sarah.piper@sydney.edu.au.

Tracey A Davenport (TA)

Australian Digital Health Agency, Australia. Electronic address: tracey.davenport@digitalhealth.gov.au.

Sarah Mughal (S)

McGill University, Department of Psychiatry, Montreal, Canada. Electronic address: sarah.mughal@mcgill.ca.

Jai L Shah (JL)

McGill University, Department of Psychiatry, Montreal, Canada. Electronic address: jai.shah@mcgill.ca.

Elizabeth M Scott (EM)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: e.scott@sydney.edu.au.

Frank Iorfino (F)

Brain and Mind Centre, The University of Sydney, Australia. Electronic address: frank.iorfino@sydney.edu.au.

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