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Objective: To evaluate the potential impact of the recently announced 'Safeguards' initiative on mental health-related emergency department presentation rates for children and adolescents (0−17 years). This state-funded initiative aims to establish 25 Child and Adolescent Acute Response Teams across New South Wales. Methods: We estimated the effects of the 'Safeguards' initiative using a state-level dynamic model of child and adolescent acute mental health care. Potential reductions in total numbers of mental health-related emergency department presentations and re-presentations (i.e. presentations within 3 months of an initial presentation) were assessed via a series of simulation experiments in which we systematically varied the total number of Child and Adolescent Acute Response Teams and the mean duration of care per patient. Results: Assuming a mean treatment duration of 6 weeks per patient, 25 Child and Adolescent Acute Response Teams are projected to reduce total numbers of mental health-related emergency department presentations and re-presentations over the period 2022–2031 by 15.0% (95% interval, 12.0−18.2%) and 31.7% (26.2−37.8%), respectively. Increasing the total number of Child and Adolescent Acute Response Teams above 25 has minimal additional impact on projected reductions in numbers of emergency department presentations and re-presentations, provided the mean duration of care is no more than 8 weeks. However, where the mean duration of care is greater than 4 weeks, a decrease in the number of Child and Adolescent Acute Response Teams below 25 reduces the potential effectiveness of the 'Safeguards' initiative significantly. Conclusion: Our simulation results indicate that full and timely implementation will be critical if the potentially substantial impact of the 'Safeguards' initiative on demand for hospital-based emergency mental health care is to be realised. [ABSTRACT FROM AUTHOR]

Objective: This study utilised digital technology to assess the clinical needs of young people presenting for care at headspace centres across Australia. Method: 1490 young people (12–25 years) who presented to one of 11 headspace services from four geographical locations (urban New South Wales, urban South Australia, regional New South Wales, and regional Queensland) completed a digital multidimensional assessment at initial presentation. Characteristics were compared between services and geographical locations. Results: We identified major variation in the demographics, and the type and severity of needs across different services. Individuals from regional services were more likely to be younger, of Aboriginal and Torres Strait Islander origin, and present with psychotic-like symptoms and suicidality, while those in urban areas were more likely to have previously sought help and have problematic alcohol use. Further differences in age, distress, depressive symptoms, psychotic-like experiences, trauma, family history, alcohol use, education/employment engagement, and days out of role were identified between different urban sites. Conclusions: The variability between services provides insight into the heterogeneity of youth mental health populations which has implications for appropriate early intervention and prevention service provisions. We propose that integrating digital technologies has the potential to provide insights for smarter service planning and evaluation. [ABSTRACT FROM AUTHOR]

Objective: Youth with early-onset mood or psychotic disorders are occasionally prescribed metformin to manage cardiometabolic risk. This retrospective study explores the demographic, clinical and metabolic factors associated with metformin prescription youth with mood or psychotic disorders. Method: Participants included 72 youth with mood or psychotic disorders from a young adult mental health inpatient unit, of which 18 (33%) were newly prescribed metformin, and 54 (66%) were not prescribed metformin. Demographic and clinical information were extracted from the patients' medical files along with body mass index (BMI), fasting serum bloods and calculated updated homeostatic model of insulin resistance assessment (HOMA2-IR) scores to compare profiles between groups. Results: Of those prescribed metformin, 83% were overweight or obese and 72% had elevated HOMA2-IR scores. Of those not receiving metformin treatment, 41% were overweight or obese and 22% had elevated HOMA2-IR scores. Youth prescribed metformin had significantly higher BMI, and elevated markers of insulin resistance, but did not differ to those not prescribed metformin on other demographic, clinical or metabolic factors. Conclusions: While metformin is prescribed to some youth with mood or psychotic disorders displaying markers of cardiometabolic disturbance, there is a need to develop clearer treatment guidelines for metformin in these youth. [ABSTRACT FROM AUTHOR]