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Risk factors for psychological distress among help-seeking youth are poorly understood. Addressing this gap is important for informing mental health service provision. This study aimed to identify risk factors among youth attending Jigsaw, a youth mental health service in Ireland. Routine data were collected from N = 9,673 youth who engaged with Jigsaw (Mean age = 16.9 years, SD = 3.14), including presenting issues, levels of psychological distress, age, and gender. Confirmatory Factor Analysis identified thirteen factors of clustering issues. Several factors, including Self-criticism and Negative Thoughts, were strongly associated with items clustering as psychological distress, however these factors were poorly predictive of distress as measured by the CORE (YP-CORE: R2 = 14.7%, CORE-10: R2 = 6.9%). The findings provide insight into associations between young people's identified presenting issues and self-identified distress. Implications include applying appropriate therapeutic modalities to focus on risk factors and informing routine outcome measurement in integrated youth mental health services. [ABSTRACT FROM AUTHOR]

Delayed access to mental health services for children and adolescents has been linked to an increased risk of harm and nonattendance to scheduled appointments. While studies suggest that the lack of standardized assessments for prioritizing individuals has contributed to long wait times, the inconsistent use of assessments across service sectors in Ontario continues to persist. This has contributed to a paucity of information surrounding which children and adolescents may require urgent mental health services. Using a large secondary data set, this study examined whether service sector (e.g., school), and other individual client characteristics (e.g., age, sex, legal guardianship, interpersonal and school conflict) predicted greater mental health service urgency in 61,448 children and adolescents assessed using the interRAI Child and Youth Mental Health Screener. Binary logistic regression revealed that all predictors, except for sector, showed a significant effect on service urgency. Findings are instrumental in prioritization, reducing the likelihood that children with acute needs remain on waitlists. [ABSTRACT FROM AUTHOR]

This exploratory study described the distribution of mental health service costs in youth with mental disorder and determined if costs differed for youth with comorbid internalizing and externalizing disorder compared to those with comorbid internalizing disorders. Data come from youth (8–17 years; n=75) receiving mental health services at a children's hospital in Canada. Billing amounts specified in the Health Insurance Act of Ontario were used to estimate costs. Overall, past-year service use costs were $7436.63. Hospitalizations represented the largest cost. Youth with comorbid internalizing and externalizing disorders had higher total (β=0.81 [0.17, 1.45]), hospital (β=0.93 [0.03, 1.84]), and professional (β=0.87 [0.04, 1.69]) costs. These preliminary findings suggest that comorbidity type is associated with the costs of past-year mental health services used by youth. Research is needed to understand the reasons for elevated costs and whether the increased services used by youth with comorbid internalizing and externalizing disorders are effective. [ABSTRACT FROM AUTHOR]

A meta-analysis was conducted to examine the relative rates of youth mental health service utilization across settings among the general population and among those with elevated mental health symptoms or clinical diagnoses. Rates of school-based mental health were compared to outpatient, primary care, child welfare, juvenile justice, and inpatient. Nine studies presented rates of mental health service use for general-population youth in the U.S., and 14 studies presented rates for youth with elevated symptoms or clinical diagnoses. Random effects meta-analysis was used to calculate mean proportions of youth receiving care in each sector. Of general population youth, 7.28% received school mental health services. Rates for other sectors are as follows: 7.26% in outpatient settings, 1.76% in primary care, 1.80% in inpatient, 1.35% in child welfare, and 0.90% juvenile justice. For youth with elevated mental health symptoms or diagnoses, 22.10% of youth were served by school-based mental health services, 20.56% outpatient settings, 9.93% primary care, 9.05% inpatient, 7.90% child welfare, and 4.50% juvenile justice. Schools and outpatient settings are the most common loci of mental health care for both the general population and samples of youth with elevated symptoms or clinical diagnoses, although substantial amounts of care are also provided in a range of other settings. Results hold potential for informing resource allocation, legislation and policy, intervention development, and research. Given that mental health services are delivered across many settings, findings also point to the need for interconnection across child-serving sectors, particularly schools and outpatient clinics. [ABSTRACT FROM AUTHOR]

Advancements in evidence-based psychosocial interventions, digital technologies, and implementation strategies (i.e., health services research products) for youth mental health services have yet to yield significant improvement in public health outcomes. Achieving such impact will require that these research products are easy to use, useful, and contextually appropriate. This paper describes how human-centered design (HCD), an approach that aligns product development with the needs of the people and settings that use those products, can be leveraged to improve youth mental health services. We articulate how HCD can advance accessibility, effectiveness, and equity, with specific consideration of unique aspects of youth mental health services. [ABSTRACT FROM AUTHOR]

There is limited empirical evidence documenting the magnitude and correlates of area-level variability in unmet need for children's mental health services. Research is needed that identifies area-level characteristics that can inform strategies for reducing unmet need in the population. The study purpose is to: (1) estimate area-level variation in children's unmet need for mental health services (using Service Areas as defined by the Ontario Ministry of Children and Youth Services), and (2) identify area-level service arrangements, and geographic and population characteristics associated with unmet need. Using individual-level general population data, area-level government administrative data and Census data from Ontario, Canada, we use multilevel regression models to analyze unmet need for mental health services among children (level 1) nested within Service Areas (level 2). The study finds that 1.64% of the reliable variance in unmet need for mental health services is attributable to between-area differences. Across areas, we find that Service Areas with more agencies had a lower likelihood of unmet need for mental health services. Compared to other Service Areas, Toronto had much lower likelihood of unmet need compared to the rest of Ontario. Rural areas, areas with unsatisfactory public transport, and areas with higher levels of socio-economic disadvantage had a higher likelihood of unmet need for mental health services. These findings identify challenges in service provision that researchers, policymakers and administrators in children's mental health services need to better understand. Policy implications and potential Service Area strategies that could address equitable access to mental health services are discussed. [ABSTRACT FROM AUTHOR]