Treatment History of Youth At-Risk for Serious Mental Illness

“It cannot be boring!”: Developing a measure of function for young adults accessing integrated youth services

Background

In Canada, the prevalence of mental health challenges is highest in young people aged 12–24. Mental health challenges frequently cause marked functional impairment. Despite this, we are unaware of any existing conceptualization and/or measures of function that has been developed from the perspective of young people. The objective of this paper is to develop a conceptual and measurement model, including a preliminary set of items, for an outcome measure of function for young adults accessing mental health services.

Methods

We conducted this study in three phases. In phase 1, we conducted three focus groups to conceptualize function as a construct from the perspective of young adults. In phase 2, we co-designed a set of items with youth (n = 4) to capture the construct. In phase 3, we invited young people (n = 12) accessing mental health services to complete workbooks and participate in one of two focus groups to evaluate whether items were clear, captured function comprehensively, and were relevant. We transcribed and compiled all data to eliminate, refine and generate new items.

Results

In phase 1, a conceptual model of function was developed with three main themes: basic needs, roles and responsibilities, and social connections. In phase 2, 97 candidate items were developed, and in phase 3, a candidate pool of 50 items resulted for psychometric testing.

Conclusion

This youth-centred conceptualization of function and preliminary item bank has the potential to advance person-centred care, outcomes, and experiences for youth seeking mental health services.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41687-022-00491-6.

Foundry: Early learnings from the implementation of an integrated youth service network

AIMS

To provide the first profile of the demographic and service characteristics of young people (aged 12-24 years) who access Foundry, a provincial network of integrated youth health and social service centres in British Columbia, Canada and to share early learnings about implementation and service innovation.

METHODS

Using a retrospective chart review, we conducted a census of all young people accessing a Foundry centre in a 'proof of concept' phase. Six centres were assessed between October 2015 and March 2018. Data included demographics, mental health service access history, service type the youth was seeking, and information about how they found out about the centre.

RESULTS

A total of 4783 young people presented during this proof of concept period, for a total number of 35 791 visits. The most frequently accessed category of service was mental health/substance use (57%) followed by physical health (25%). Young people were most likely to be female, aged 15-19, and White. Youth demographic characteristics showed an over-representation of Indigenous and LGBTQ2 youth and under-representation of males and youth aged 20-24. Youth were most likely to learn about Foundry from a friend (44%) or family member (22%). Most youth (58%) reported that they would have gone 'nowhere' if not for Foundry.

CONCLUSIONS

Foundry is a model of integrated health and social services delivery, focused on early intervention, prevention and accessibility, driven by the needs and priorities of young people and their families. Leveraging international integrated youth health service evidence, the model addresses urgent priorities in Canadian health service delivery.

Scoping review of stepped care interventions for mental health and substance use service delivery to youth and young adults

AIMS

Many young people with mental health and/or substance use concerns do not have access to timely, appropriate, and effective services. Within this context, stepped care models (SCMs) have emerged as a guiding framework for care delivery, inspiring service innovations across the globe. However, substantial gaps remain in the evidence for SCMs as a strategy to address the current systemic challenges in delivering services for young people. This scoping review aims to identify where these gaps in evidence exist, and the next steps for addressing them.

METHODS

A scoping review was conducted involving both peer-reviewed and grey literature. Eligible studies explored SCMs implemented in the various health care settings accessed by young people aged 12-24 seeking treatment for mental health and substance use challenges. After screening titles and abstracts, two reviewers examined full-text articles and extracted data to create a descriptive summary of the models.

RESULTS

Of the 656 studies that were retrieved, 51 studies were included and grouped by study team for a final yield of 43 studies. Almost half of the studies were focused on the adult population (i.e., 18 and over), and most did not specify interventions for young people. Among the SCMs, substantial variability was found in almost every aspect of the models.

CONCLUSIONS

Considering the current body of evidence, there is an urgent need for a consensus position on the definition, implementation, and outcome measures required for rigorously assessing the utility of SCMs for young people.

Cerebello-limbic functional connectivity patterns in youth at clinical high risk for psychosis

Youth at clinical high risk (CHR) for psychosis can present not only with characteristic attenuated psychotic symptoms but also may have other comorbid conditions, including anxiety and depression. These undifferentiated mood symptoms can overlap with the clinical presentation of youth with Distress syndromes. Increased resting-state functional connectivity within cerebello-thalamo-cortical (CTC) pathways has been proposed as a trait-specific biomarker for CHR. However, it is unclear whether this functional neural signature remains specific when compared to a different risk group: youth with Distress syndromes. The purpose of the present work was to describe CTC alterations that distinguish between CHR and Distressed individuals. Using machine learning algorithms, we analyzed CTC connectivity features of CHR (n = 51), Distressed (n = 41), and healthy control (n = 36) participants. We found four cerebellar (lobes VII and left Crus II anterior/posterior) and two basal ganglia (right putamen and right thalamus) nodes containing a set of specific connectivity features that distinguished between CHR, Distressed and healthy control groups. Hyperconnectivity between medial lobule VIIb, somatomotor network and middle temporal gyrus was associated with CHR status and more severe symptoms. Detailed atlas parcellation suggested that CHR individuals may have dysfunction mainly within the associative (cognitive) pathways, particularly, between those brain areas responsible for the multi-sensory signal integration.

Social determinants of health and depression in adults presenting to the emergency department: Implications for family medicine

OBJECTIVE

To estimate the extent to which social determinants of health (SDH) predict levels of depression in adults presenting to the emergency department (ED) with an acute mental health crisis.

DESIGN

Secondary data analysis.

SETTING

St Paul's Hospital, an urban tertiary care hospital in Vancouver, BC.

PARTICIPANTS

Patients 19 years and older presenting to the ED with an acute mental health crisis.

MAIN OUTCOME MEASURES

Responses to demographic questionnaires focused on SDH and to measures of self-perceived health and depression. Relationships between depression and SDH were described using t tests and χ ² tests. The extent to which SDH variables predicted depression scores, as measured by the Patient Health Questionnaire-9 (PHQ-9), was determined using linear regression.

RESULTS

The primary study had 202 participants. Data for the 156 (77%) participants who completed the PHQ-9 were assessed in this secondary analysis. In this sample, 60% of participants identified as men, 37% as women, and 4% as other. The mean (SD) age was 39.1 (13.8) years, with most participants identifying as white (65%) or Indigenous (18%). Thirty-seven percent had a high school diploma or less education, and 72% reported being unemployed. Identifying as a woman, lack of access to clean drinking water, poor food security, feeling unsafe, little structured use of time, lack of a sense of community, and dissatisfaction with housing significantly predicted higher depression scores. Overall, 59% of respondents met the criteria for moderately severe or severe depression (PHQ-9 score ≥ 15), with 37% of those reporting thoughts of suicide nearly every day for the past 2 weeks.

CONCLUSION

This study demonstrates the importance of screening for both depression and SDH in the ED. Because the ED often does not have the capacity to address appropriate levels of follow-up for this population, this study has important implications for primary care. Developing a clear pathway of follow-up support for people with depression and SDH risk factors will be critical to optimize patient outcomes, promote patient safety, enhance patient satisfaction, and optimize the use of resources between the ED and primary care.

Aberrant limbic brain structures in young individuals at risk for mental illness

AIM

Alterations in limbic structures may be present before the onset of serious mental illness, but whether subfield-specific limbic brain changes parallel stages in clinical risk is unknown. To address this gap, we compared the hippocampus, amygdala, and thalamus subfield-specific volumes in adolescents at various stages of risk for mental illness.

METHODS

MRI scans were obtained from 182 participants (aged 12-25 years) from the Canadian Psychiatric Risk and Outcome study. The sample comprised of four groups: asymptomatic youth at risk due to family history of mental illness (Stage 0, n = 32); youth with early symptoms of distress (Stage 1a, n = 41); youth with subthreshold psychotic symptoms (Stage 1b, n = 72); and healthy comparison participants with no family history of serious mental illness (n = 37). Analyses included between-group comparisons of brain measurements and correlational analyses that aimed to identify significant associations between neuroimaging and clinical measurements. A machine-learning technique examined the discriminative properties of the clinical staging model.

RESULTS

Subfield-specific limbic volume deficits were detected at every stage of risk for mental illness. A machine-learning classifier identified volume deficits within the body of the hippocampus, left amygdala nuclei, and medial-lateral nuclei of the thalamus that were most informative in differentiating between risk stages.

CONCLUSION

Aberrant subfield-specific changes within the limbic system may serve as biological evidence to support transdiagnostic clinical staging in mental illness. Differential patterns of volume deficits characterize those at risk for mental illness and may be indicative of a risk-stage progression.