scholarly journals From early intervention in psychosis to youth mental health reform: a review of the evolution and transformation of mental health services for young people

2015 ◽  
Vol 51 (3) ◽  
pp. 319-326 ◽  
Author(s):  
Ashok Malla ◽  
Srividya Iyer ◽  
Patrick McGorry ◽  
Mary Cannon ◽  
Helen Coughlan ◽  
...  
Keyword(s):  
Mental Health ◽  
Early Intervention ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Health Reform ◽  
Youth Mental Health ◽  
Mental Health Reform ◽  
Early Intervention In Psychosis

Non-participation in education, employment, and training among young people accessing youth mental health services: demographic and clinical correlates

2017 ◽  
Vol 16 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Erin M. Holloway ◽  
Debra Rickwood ◽  
Imogen C. Rehm ◽  
Denny Meyer ◽  
Scott Griffiths ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Youth Mental Health ◽  
Clinical Correlates ◽  
And Training

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.

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.

scholarly journals Challenging the Status Quo ... Co-designing the future of child and youth mental health services with young people

2018 ◽  
Vol 18 (s1) ◽  
pp. 81
Author(s):  
Margaret Hoyland ◽  
Mikaela Moore ◽  
Leonie Sanderson ◽  
Kerry Geraghty
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Youth Mental Health ◽  
Status Quo ◽  
The Future ◽  
The Status

Measuring parent satisfaction in youth mental health services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aileen O’Reilly ◽  
Alanna Donnelly ◽  
Jennifer Rogers ◽  
Olive Maloney ◽  
Gillian O’Brien ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Parent Satisfaction ◽  
Youth Mental Health ◽  
Service Development ◽  
Content Type ◽  
Growth And Change

Purpose Measuring parent satisfaction is regarded as essential but there is a paucity of research reporting on parental satisfaction with community youth mental health services. This study aims to examine parent satisfaction with Jigsaw – a primary care youth mental health service. Design/methodology/approach A measure of parent satisfaction was developed and administered to parents in 12 Jigsaw services over a two-year period (n = 510, age range: 28 to 70 years) when young people and parents were ending their engagement with these services. Findings Overall, parents had high levels of satisfaction with Jigsaw and their level of satisfaction did not vary depending on the parent or young person’s age and/or gender. Examination of qualitative feedback revealed three overarching themes relating to growth and change in young people, parents and their families; strengths of the service and; suggestions for future service development. Analysis of the psychometric properties of the measure provided evidence for a two-factor structure examining satisfaction with the intervention and outcomes and service accessibility and facilities. Originality/value This study represents one of the first efforts to measure parent satisfaction with primary care youth mental health services. It has resulted in the development of a brief measure that can be more widely administered to parents engaging with primary care youth mental health services.

Youth services: meeting the mental health needs of adolescents

2014 ◽  
Vol 32 (1) ◽  
pp. 13-19 ◽  
Author(s):  
N. S. Vyas ◽  
M. Birchwood ◽  
S. P. Singh
Keyword(s):  
Mental Health ◽  
Early Intervention ◽  
Mental Health Services ◽  
Health Services ◽  
Youth Mental Health ◽  
Youth Services ◽  
Early Intervention Services ◽  
Youth Service ◽  
Risk Period ◽  
Traditional Service

ObjectivesYouth mental health services are poised for a paradigm shift. Recent epidemiological evidence confirms the seriousness of adolescence as a risk period for mental ill-health - 50% of all adult mental disorders begin before the age of 16% and 75% before the age of 25. Here, we identify issues with transition of care between CAMHS-AMHS service, and effectiveness of early intervention services.MethodsWe provide a selective review providing evidence of adolescence as a risk period, discuss CAMHS-AMHS service transition problems, and discuss avenues for change to implement the early intervention model across youth mental health.ResultsTraditional service structures,with paediatric -adult split at 16–18 years increasingly appear not fit for purpose. A radical redesign of youth mental health services is not only necessary, it is also feasible and achievable, as illustrated by a pilot Birmingham youth service – Youthspace.ConclusionsPilot youth mental projects currently underway can help radically redesign the existing child and adolescent services. This will in turn lead to an improvement in the young people's experience of engagement with the services so that they too have a positive future.

scholarly journals Development of a satisfaction scale for young people attending youth mental health services

2013 ◽  
Vol 8 (4) ◽  
pp. 382-386 ◽  
Author(s):  
Magenta B. Simmons ◽  
Alexandra G. Parker ◽  
Sarah E. Hetrick ◽  
Nic Telford ◽  
Alan Bailey ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Youth Mental Health ◽  
Satisfaction Scale

scholarly journals Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243467
Author(s):  
Frank Iorfino ◽  
Nicholas Ho ◽  
Joanne S. Carpenter ◽  
Shane P. Cross ◽  
Tracey A. Davenport ◽  
...  
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Mental Health Services ◽  
Young People ◽  
Health Services ◽  
Prediction Models ◽  
Youth Mental Health ◽  
Net Benefit ◽  
History Of ◽  
Self Harm

Background A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making regarding a service response in terms of more detailed assessments and/or intervention. The aim of this study was to predict self-harm within six-months after initial presentation. Method The study included 1962 young people (12–30 years) presenting to youth mental health services in Australia. Six machine learning algorithms were trained and tested with ten repeats of ten-fold cross-validation. The net benefit of these models were evaluated using decision curve analysis. Results Out of 1962 young people, 320 (16%) engaged in self-harm in the six months after first assessment and 1642 (84%) did not. The top 25% of young people as ranked by mean predicted probability accounted for 51.6% - 56.2% of all who engaged in self-harm. By the top 50%, this increased to 82.1%-84.4%. Models demonstrated fair overall prediction (AUROCs; 0.744–0.755) and calibration which indicates that predicted probabilities were close to the true probabilities (brier scores; 0.185–0.196). The net benefit of these models were positive and superior to the ‘treat everyone’ strategy. The strongest predictors were (in ranked order); a history of self-harm, age, social and occupational functioning, sex, bipolar disorder, psychosis-like experiences, treatment with antipsychotics, and a history of suicide ideation. Conclusion Prediction models for self-harm may have utility to identify a large sub population who would benefit from further assessment and targeted (low intensity) interventions. Such models could enhance health service approaches to identify and reduce self-harm, a considerable source of distress, morbidity, ongoing health care utilisation and mortality.

scholarly journals Perspectives of Family Members on Using Technology in Youth Mental Health Care: A Qualitative Study

2017 ◽  
Vol 4 (2) ◽  
pp. e21 ◽  
Author(s):  
Shalini Lal ◽  
Winnie Daniel ◽  
Lysanne Rivard
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Early Intervention ◽  
Mental Health Services ◽  
Health Services ◽  
Mental Health Care ◽  
Information And Communication Technologies ◽  
Family Members ◽  
Youth Mental Health ◽  
Use Of Technology

Background Information and communication technologies (ICTs) are increasingly recognized as having an important role in the delivery of mental health services for youth. Recent studies have evaluated young people’s access and use of technology, as well as their perspectives on using technology to receive mental health information, services, and support; however, limited attention has been given to the perspectives of family members in this regard. Objective The aim of this study was to explore the perspectives of family members on the use of ICTs to deliver mental health services to youth within the context of specialized early intervention for a first-episode psychosis (FEP). Methods Six focus groups were conducted with family members recruited from an early intervention program for psychosis. Twelve family members participated in the study (target sample was 12-18, and recruitment efforts took place over the duration of 1 year). A 12-item semistructured focus group guide was developed to explore past experiences of technology and recommendations for the use of technology in youth mental health service delivery. A qualitative thematic analysis guided the identification and organization of common themes and patterns identified across the dataset. Results Findings were organized by the following themes: access and use of technology, potential negative impacts of technology on youth in recovery, potential benefits of using technology to deliver mental health services to youth, and recommendations to use technology for (1) providing quality information in a manner that is accessible to individuals of diverse socioeconomic backgrounds, (2) facilitating communication with health care professionals and services, and (3) increasing access to peer support. Conclusions To our knowledge, this is among the first (or the first) to explore the perspectives of family members of youth being treated for FEP on the use of technology for mental health care. Our results highlight the importance of considering diverse experiences and attitudes toward the role of technology in youth mental health, digital literacy skills, phases of recovery, and sociodemographic factors when engaging family members in technology-enabled youth mental health care research and practice. Innovative methods to recruit and elicit the perspectives of family members on this topic are warranted. It is also important to consider educational strategies to inform and empower family members on the role, benefits, and use of ICTs in relation to mental health care for FEP.

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