Right care, first time: a highly personalised and measurement‐based care model to manage youth mental health

Ian B Hickie; Elizabeth M Scott; Shane P Cross; Frank Iorfino; Tracey A Davenport; Adam J Guastella; Sharon L Naismith; Joanne S Carpenter; Cathrin Rohleder; Jacob J Crouse; Daniel F Hermens; Dagmar Koethe; F Markus Leweke; Ashleigh M Tickell; Vilas Sawrikar; Jan Scott

doi:10.5694/mja2.50383

Editorial

Right care, first time: a highly personalised and measurement‐based care model to manage youth mental health

Ian B Hickie, Elizabeth M Scott, Shane P Cross, Frank Iorfino, Tracey A Davenport, Adam J Guastella, Sharon L Naismith, Joanne S Carpenter, Cathrin Rohleder, Jacob J Crouse, …

Medical Journal of Australia, Vol.211(Supplement 9), p.S3

2019

DOI: https://doi.org/10.5694/mja2.50383

Appears in Thompson Institute Research Collection

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Abstract

mental health policy

treatment outcome

adolescent psychiatry

clinical decision-making

clinical competence

sleep wake disorders

circadian rhythm

metabolic disease

neurocognitive disorders

Other Collaborations

Thompson Institute Special Collection

Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. Clinical stage. Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidencebased processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people.

Details

Title: Right care, first time: a highly personalised and measurement‐based care model to manage youth mental health
Authors: Ian B Hickie (Corresponding Author) - University of Sydney
Elizabeth M Scott (Author) - University of Sydney
Shane P Cross (Corresponding Author) - University of Sydney
Frank Iorfino (Corresponding Author) - University of Sydney
Tracey A Davenport (Author) - University of Sydney
Adam J Guastella (Author) - University of Sydney
Sharon L Naismith (Author) - University of Sydney
Joanne S Carpenter (Author) - University of Sydney
Cathrin Rohleder (Corresponding Author) - University of Sydney
Jacob J Crouse (Corresponding Author) - University of Sydney
Daniel F Hermens (Author) - University of the Sunshine Coast - Thompson Institute
Dagmar Koethe (Author) - The University of Sydney
F Markus Leweke (Author) - The University of Sydney
Ashleigh M Tickell (Author) - The University of Sydney
Vilas Sawrikar (Author) - The University of Sydney
Jan Scott (Author) - The University of Sydney
Publication details: Medical Journal of Australia, Vol.211(Supplement 9), p.S3
Publisher: Wiley-Blackwell Publishing Asia
Date published: 2019
DOI: 10.5694/mja2.50383
ISSN: 0025-729X
Organisation Unit: University of the Sunshine Coast, Queensland; Thompson Institute
Language: English
Record Identifier: 99450941502621
Output Type: Editorial

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Psychiatry

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