Adaptive Mentalization-Based Integrative Treatment: A Guide for Teams to Develop Systems of Care

Author:   Dickon Bevington ,  Peter Fuggle ,  Peter Fonagy ,  Liz Cracknell
Publisher:   Oxford University Press
ISBN:  

9780198718673


Pages:   416
Publication Date:   03 August 2017
Format:   Paperback
Availability:   Not yet available   Availability explained
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Adaptive Mentalization-Based Integrative Treatment: A Guide for Teams to Develop Systems of Care


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Overview

Socially excluded youth with mental health problems and co-occurring difficulties (e.g. conduct disorder, family breakdown, homelessness, substance use, exploitation, educational failure) attract the involvement of multiple agencies. Poorly coordinated interventions often multiply in the face of such problems, so that a young person or family is approached by multiple workers from different agencies working towards different goals and using different treatment models; these are often overwhelming and may actually be experienced as aversive by the young person or their family. Failure to provide effective help is costly throughout life This is the first book to describe Adaptive Mentalization-Based Integrative Treatment (AMBIT). This is an approach to working with people - particularly young people and young adults - whose lives are often chaotic and risky, and whose problems are not limited to one domain. In addition to mental health problems, they may have problems with care arrangements, education or employment, exploitation, substance misuse, offending behaviours, and gang affiliations; if these problems are all occurring simultaneously, any progress in one area is easily undermined by harms still occurring in another. AMBIT has been designed by and for community teams from Mental Health, Social Care, Youth work, or that may be purposefully multi-disciplinary/multi-agency. It emphasises the need to strengthen integration in the complex networks that tend to gather around such clients, minimising the likelihood of an experience of care that is aversive. AMBIT uses well evidenced 'Mentalization-based' approaches, that are at their core integrative - drawing on recent advances in neuroscience, psycho-analytic, social cognitive, and systemic treatment models .

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Author:   Dickon Bevington ,  Peter Fuggle ,  Peter Fonagy ,  Liz Cracknell
Publisher:   Oxford University Press
Imprint:   Oxford University Press
ISBN:  

9780198718673


ISBN 10:   0198718675
Pages:   416
Publication Date:   03 August 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Prior to medical training, Dickon Bevington MA MBBS MRCPsych PGCert studied Anthropology, Philosophy and Comparative Religion at Cambridge. A Child and Adolescent Psychiatrist in the NHS in Cambridgeshire, he works with complex adolescents with substance use disorders. He is also Medical Director at the Anna Freud National Centre for Children and Families, where he co-leads the AMBIT project with Peter Fuggle, and develops and runs trainings in mentalization-based treatments. In collaboration with Jeremy Ruston, the inventor of TiddlyWiki, he led on the development of wiki-based treatment manuals. He has authored/co-authored papers, and chapters including the second edition of What works for Whom: A Critical Review of Treatments for Children and Adolescents (Guilford 2012). Peter Fuggle, PhD, is a clinical psychologist and Clinical Director at the Anna Freud National Centre for Children and Families. Previously, he was Clinical Director of the NHS Islington Child and Adolescent Mental Health Service for over twenty years where he helped to develop a highly integrated community focussed service approach. His primary interests are in clinical outcomes, integrated helping systems and mentalization based approaches to helping children and families, particularly those who do not seek help.

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