scholarly journals The role of youth mental health services in the treatment of young people with serious mental illness: 2-year outcomes and economic implications

2015 ◽  
Vol 11 (5) ◽  
pp. 393-400 ◽  
Author(s):  
Nicola Brimblecombe ◽  
Martin Knapp ◽  
Silvia Murguia ◽  
Henrietta Mbeah-Bankas ◽  
Steve Crane ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Serious Mental Illness ◽  
Youth Mental Health ◽  
Economic Implications

scholarly journals Youth Mental Health Tracker: protocol to establish a longitudinal cohort and research database for young people attending Australian mental health services

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e035379
Author(s):  
Cathrin Rohleder ◽  
Yun Ju Christine Song ◽  
Jacob J Crouse ◽  
Tracey A Davenport ◽  
Frank Iorfino ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Young People ◽  
Mental Disorders ◽  
Health Services ◽  
Physical Health ◽  
Youth Mental Health ◽  
Severe Illness ◽  
Trajectory Data

IntroductionMental disorders are a leading cause of long-term disability worldwide. Much of the burden of mental ill-health is mediated by early onset, comorbidities with physical health conditions and chronicity of the illnesses. This study aims to track the early period of mental disorders among young people presenting to Australian mental health services to facilitate more streamlined transdiagnostic processes, highly personalised and measurement-based care, secondary prevention and enhanced long-term outcomes.Methods and analysisRecruitment to this large-scale, multisite, prospective, transdiagnostic, longitudinal clinical cohort study (‘Youth Mental Health Tracker’) will be offered to all young people between the ages of 12 and 30 years presenting to participating services with proficiency in English and no history of intellectual disability. Young people will be tracked over 3 years with standardised assessments at baseline and 3, 6, 12, 24 and 36 months. Assessments will include self-report and clinician-administered measures, covering five key domains including: (1) social and occupational function; (2) self-harm, suicidal thoughts and behaviour; (3) alcohol or other substance misuse; (4) physical health; and (5) illness type, clinical stage and trajectory. Data collection will be facilitated by the use of health information technology. The data will be used to: (1) determine prospectively the course of multidimensional functional outcomes, based on the differential impact of demographics, medication, psychological interventions and other key potentially modifiable moderator variables and (2) map pathophysiological mechanisms and clinical illness trajectories to determine transition rates of young people to more severe illness forms.Ethics and disseminationThe study has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (2019/ETH00469). All data will be non-identifiable, and research findings will be disseminated through peer-reviewed journals and scientific conference presentations.

People, processes, and systems: An observational study of the role of technology in rural youth mental health services

2016 ◽  
Vol 26 (3) ◽  
pp. 259-272 ◽  
Author(s):  
Simone Orlowski ◽  
Sharon Lawn ◽  
Ben Matthews ◽  
Anthony Venning ◽  
Gabrielle Jones ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Observational Study ◽  
Youth Mental Health ◽  
Rural Youth

scholarly journals Using Digital Technologies to Facilitate Care Coordination Between Youth Mental Health Services: A Guide for Implementation

2021 ◽  
Vol 1 ◽  
Author(s):  
Frank Iorfino ◽  
Sarah E. Piper ◽  
Ante Prodan ◽  
Haley M. LaMonica ◽  
Tracey A. Davenport ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Young People ◽  
Health Service ◽  
Health Services ◽  
Dynamic Simulation ◽  
Care Coordination ◽  
Youth Mental Health ◽  
Simulation Modelling ◽  
Dynamic Simulation Modelling

Enhanced care coordination is essential to improving access to and navigation between youth mental health services. By facilitating better communication and coordination within and between youth mental health services, the goal is to guide young people quickly to the level of care they need and reduce instances of those receiving inappropriate care (too much or too little), or no care at all. Yet, it is often unclear how this goal can be achieved in a scalable way in local regions. We recommend using technology-enabled care coordination to facilitate streamlined transitions for young people across primary, secondary, more specialised or hospital-based care. First, we describe how technology-enabled care coordination could be achieved through two fundamental shifts in current service provisions; a model of care which puts the person at the centre of their care; and a technology infrastructure that facilitates this model. Second, we detail how dynamic simulation modelling can be used to rapidly test the operational features of implementation and the likely impacts of technology-enabled care coordination in a local service environment. Combined with traditional implementation research, dynamic simulation modelling can facilitate the transformation of real-world services. This work demonstrates the benefits of creating a smart health service infrastructure with embedded dynamic simulation modelling to improve operational efficiency and clinical outcomes through participatory and data driven health service planning.

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