Objective: To address the mental health needs of youths who are arrested and detained in Illinois, an initiative was designed and implemented that identified youths with psychotic or affective disorders, linked them to community services, and monitored their cases. This study assessed whether such linkage is possible and whether it improves clinical and forensic outcomes.
Method: S: Under the initiative, court staff refer youths who may have a mental illness to a clinical liaison. If the youth is eligible for the program, the liaison works with the family to develop a community-based action plan. For the analysis presented here, the Child and Adolescent Needs and Strengths-Mental Health Scale (CANS-MH) and the Child and Adolescent Functional Assessment Scale (CAFAS) were used to assess outcomes among 314 youths who had completed the program at the time of the study. School and forensic outcomes were also monitored.
Results: Seventy-five percent of the youths were successfully linked to at least one mental health or community service. A comparison of average CANS-MH dimension scores at enrollment and program completion indicated that youths' emotional problems decreased considerably within three months of referral. CAFAS scores six months after enrollment improved across nearly all dimensions. Home, community, and school functioning were significantly improved from baseline. Only 42 percent of the youths were rearrested, compared with a statewide rate of 72 percent of detained youths.
Conclusion: S: By linking youths with significant mental health needs to existing community-based services, it appears possible both to ameliorate psychopathology and to reduce delinquency.
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http://dx.doi.org/10.1176/appi.ps.54.12.1629 | DOI Listing |
Biomed Phys Eng Express
January 2025
Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.
Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.
View Article and Find Full Text PDFAustralas Psychiatry
January 2025
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
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