scholarly journals Using New and Innovative Technologies to Assess Clinical Stage in Early Intervention Youth Mental Health Services: Evaluation Study (Preprint)

2018 ◽  
Author(s):  
Laura Ospina-Pinillos ◽  
Tracey Davenport ◽  
Frank Iorfino ◽  
Ashleigh Tickell ◽  
Shane Cross ◽  
...  

BACKGROUND Globally there is increasing recognition that new strategies are required to reduce disability due to common mental health problems. As 75% of mental health and substance use disorders emerge during the teenage or early adulthood years, these strategies need to be readily accessible to young people. When considering how to provide such services at scale, new and innovative technologies show promise in augmenting traditional clinic-based services. OBJECTIVE The aim of this study was to test new and innovative technologies to assess clinical stage in early intervention youth mental health services using a prototypic online system known as the Mental Health eClinic (MHeC). METHODS The online assessment within the MHeC was compared directly against traditional clinician assessment within 2 Sydney-based youth-specific mental health services (headspace Camperdown and headspace Campbelltown). A total of 204 young people were recruited to the study. Eligible participants completed both face-to-face and online assessments, which were randomly allocated and counterbalanced at a 1-to-3 ratio. These assessments were (1) a traditional 45- to 60-minute headspace face-to-face assessment performed by a Youth Access Clinician and (2) an approximate 60-minute online assessment (including a self-report Web-based survey, immediate dashboard of results, and a video visit with a clinician). All assessments were completed within a 2-week timeframe from initial presentation. RESULTS Of the 72 participants who completed the study, 71% (51/72) were female and the mean age was 20.4 years (aged 16 to 25 years); 68% (49/72) of participants were recruited from headspace Camperdown and the remaining 32% (23/72) from headspace Campbelltown. Interrater agreement of participants’ stage, as determined after face-to-face assessment or online assessment, demonstrated fair agreement (kappa=.39, P<.001) with concordance in 68% of cases (49/72). Among the discordant cases, those who were allocated to a higher stage by online raters were more likely to report a past history of mental health disorders (P=.001), previous suicide planning (P=.002), and current cannabis misuse (P=.03) compared to those allocated to a lower stage. CONCLUSIONS The MHeC presents a new and innovative method for determining key clinical service parameters. It has the potential to be adapted to varied settings in which young people are connected with traditional clinical services and assist in providing the right care at the right time.

2017 ◽  
Vol 16 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Erin M. Holloway ◽  
Debra Rickwood ◽  
Imogen C. Rehm ◽  
Denny Meyer ◽  
Scott Griffiths ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e035379
Author(s):  
Cathrin Rohleder ◽  
Yun Ju Christine Song ◽  
Jacob J Crouse ◽  
Tracey A Davenport ◽  
Frank Iorfino ◽  
...  

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.


2021 ◽  
Vol 1 ◽  
Author(s):  
Frank Iorfino ◽  
Sarah E. Piper ◽  
Ante Prodan ◽  
Haley M. LaMonica ◽  
Tracey A. Davenport ◽  
...  

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.


2018 ◽  
Vol 18 (s1) ◽  
pp. 81
Author(s):  
Margaret Hoyland ◽  
Mikaela Moore ◽  
Leonie Sanderson ◽  
Kerry Geraghty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aileen O’Reilly ◽  
Alanna Donnelly ◽  
Jennifer Rogers ◽  
Olive Maloney ◽  
Gillian O’Brien ◽  
...  

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.


2013 ◽  
Vol 8 (4) ◽  
pp. 382-386 ◽  
Author(s):  
Magenta B. Simmons ◽  
Alexandra G. Parker ◽  
Sarah E. Hetrick ◽  
Nic Telford ◽  
Alan Bailey ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243467
Author(s):  
Frank Iorfino ◽  
Nicholas Ho ◽  
Joanne S. Carpenter ◽  
Shane P. Cross ◽  
Tracey A. Davenport ◽  
...  

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.


1996 ◽  
Vol 30 (6) ◽  
pp. 805-812 ◽  
Author(s):  
Peter Birleson

Objectives: The aim of the paper is to clarify the legal rights of adolescent patients, guardians and staff in Victorian Child and Adolescent Mental Health Services (CAMHS). Victorian CAMHS have now been ‘gazetted’ and can admit patients on an involuntary basis under the amended Mental Health Act 1986 (MHA). The MHA applies equally to young people under the age of 18 years, which has raised some confusion about who has the right to consent to treatment. Method: Staff of CAMHS inpatient units have recently posed questions to the Victorian chief psychiatrist. These have included clarification of when the MHA may be appropriately used for adolescents, what is the clinician's duty of care, how to assess young people's capacity to consent to treatment, how to manage some patient groups, and what is the role of the courts in treatment decisions. The author provides a view on each of these matters, based on recent literature and confirmed by legal opinion. Results: Some matters of fact are presented and advice is provided. Conclusions: Services must seek the informed consent of guardians and adolescents and, for those young people with major psychiatric disorders who require treatment and are unable to consent, the amended MHA provides clearer direction for the use of involuntary treatment. Where units offer admission to provide assessment and stabilisation, a clear explanation about the treatment goals, and the role of restraint and medication in managing behaviour is essential at the outset of the admission process.


BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e034002
Author(s):  
Alexandra G. Parker ◽  
Connie Markulev ◽  
Debra J. Rickwood ◽  
Andrew Mackinnon ◽  
Rosemary Purcell ◽  
...  

IntroductionDepression is highly prevalent and the leading contributor to the burden of disease in young people worldwide, making it an ongoing priority for early intervention. As the current evidence-based interventions of medication and psychological therapy are only modestly effective, there is an urgent need for additional treatment strategies. This paper describes the rationale of the Improving Mood with Physical ACTivity (IMPACT) trial. The primary aim of the IMPACT trial is to determine the effectiveness of a physical activity intervention compared with psychoeducation, in addition to routine clinical care, on depressive symptoms in young people. Additional aims are to evaluate the intervention effects on anxiety and functional outcomes and examine whether changes in physical activity mediate improvements in depressive symptoms.Methods and analysisThe study is being conducted in six youth mental health services across Australia and is using a parallel-group, two-arm, cluster randomised controlled trial design, with randomisation occurring at the clinician level. Participants aged between 12 years and 25 years with moderate to severe levels of depression are randomised to receive, in addition to routine clinical care, either: (1) a physical activity behaviour change intervention or (2) psychoeducation about physical activity. The primary outcome will be change in the Quick Inventory of Depressive Symptomatology, with assessments occurring at baseline, postintervention (end-point) and 6-month follow-up from end-point. Secondary outcome measures will address additional clinical outcomes, functioning and quality of life. IMPACT is to be conducted between May 2014 and December 2019.Ethics and disseminationEthical approval was obtained from the University of Melbourne Human Research Ethics Committee on 8 June 2014 (HREC 1442228). Trial findings will be published in peer-reviewed journals and presented at conferences. Key messages will also be disseminated by the youth mental health services organisation (headspace National Youth Mental Health Foundation).Trial registration numberACTRN12614000772640.


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