Measurement-based care for suicidal youth: Outcomes and recommendations from the Services for Teens At Risk (STAR) Center

Measurement-Based Care as a Tool to Detect and Prevent Harm in Youth Psychotherapy

Measurement-based care (MBC), the use of routine assessment to guide clinical decision-making, has the potential to significantly enhance the quality of mental health services for youth by improving the detection and prevention of harm. Concerns exist, however, that widespread efforts to implement MBC may have a negative impact on youth mental health care. We explore both perspectives by describing how MBC can be leveraged as a tool to detect and prevent harmful treatment in youth and how misapplication of MBC also has the potential to cause harm. This discussion focuses on how MBC can help therapists identify harm caused by ineffective practices (i.e., deterioration or no symptoms changes), poor client engagement (e.g., early drop-out, poor alliance), and adverse events (e.g., injury caused by treatment). We also discuss multi-level applications of aggregated MBC data to prevent harm through workforce development and organizational and health systems quality and cost of care improvement initiatives. Misapplication of MBC by failing to adhere to MBC best practices, overreliance on data above clinical judgement, providing insufficient organizational support, and using MBC data to justify cost containment are all discussed as possible sources of harm. We conclude with a discussion of future directions for research needed to advance the application of MBC to the prevention of harm in youth psychotherapy.

A Digital Approach for Addressing Suicidal Ideation and Behaviors in Youth Mental Health Services: Observational Study

BACKGROUND

Long wait times for mental health treatments may cause delays in early detection and management of suicidal ideation and behaviors, which are crucial for effective mental health care and suicide prevention. The use of digital technology is a potential solution for prompt identification of youth with high suicidality.

OBJECTIVE

The primary aim of this study was to evaluate the use of a digital suicidality notification system designed to detect and respond to suicidal needs in youth mental health services. Second, the study aimed to characterize young people at different levels of suicidal ideation and behaviors.

METHODS

Young people aged between 16 and 25 years completed multidimensional assessments using a digital platform, collecting demographic, clinical, social, functional, and suicidality information. When the suicidality score exceeded a predetermined threshold, established based on clinical expertise and service policies, a rule-based algorithm configured within the platform immediately generated an alert for treating clinicians. Subsequent clinical actions and response times were analyzed.

RESULTS

A total of 2021 individuals participated, of whom 266 (11%) triggered one or more high suicidal ideation and behaviors notification. Of the 292 notifications generated, 76% (222/292) were resolved, with a median response time of 1.9 (range 0-50.8) days. Clinical actions initiated to address suicidality included creating safety plans (60%, 134/222), conducting safety checks (18%, 39/222), psychological therapy (8%, 17/222), transfer to another service (3%, 8/222), and scheduling of new appointments (2%, 4/222). Young people with high levels of suicidality were more likely to present with more severe and comorbid symptoms, including low engagement in work or education, heterogenous psychopathology, substance misuse, and recurrent illness.

CONCLUSIONS

The digital suicidality notification system facilitated prompt clinical actions by alerting clinicians to high levels of suicidal ideation and behaviors detected among youth. Further, the multidimensional assessment revealed complex and comorbid symptoms exhibited in youth with high suicidality. By expediting and personalizing care for those displaying elevated suicidality, the digital notification system can play a pivotal role in preventing rapid symptom progression and its detrimental impacts on young people's mental health.

Weekly links among irritability and suicidal thoughts and behaviors in high-risk youth

BACKGROUND

Previous studies demonstrate a link between irritability and suicidal thoughts and behaviors (STBs) in youth samples. However, they have mostly assessed irritability in community samples and as a largely dispositional (i.e. trait-like) construct. Thus, it remains unclear to what extent links between irritability and STBs reflect within-person processes of elevated risk in clinically meaningful time periods.

METHODS

The present study used clinical data from 689 adolescents aged 12-19 years attending a total of 6,128 visits at a specialty Intensive Outpatient Program for depressed and suicidal youth to examine patterns in weekly assessments of irritability and STBs throughout treatment, including associations among trends and fluctuations departing from these trends via multilevel structural equation modeling. Youth completed self-report measures of irritability, depression, and STBs weekly as part of standard IOP clinical care.

RESULTS

Overall, two-thirds of variance in weekly irritable mood was accounted for by between-person differences and the remaining portion by weekly fluctuations. After controlling for depression, during weeks when youth were more irritable they experienced increased STBs. Rates of change in irritability and STBs tended to track together at early stages of treatment, but these effects were generally accounted for by depression severity.

CONCLUSIONS

Our results suggest that although changes in STBs are best accounted for by depression, irritability can be understood as a specific, proximal risk factor for youth STBs that exacerbates youth STBs in clinically informative timeframes above and beyond depression.

Mental health provider and youth service users' perspectives regarding implementation of a digital mental health platform for youth: A survey study

Background

For youth and young adults (YYAs) with mental health concerns, digital mental health (dMH) can improve access to care and support collaboration with providers. Measurement-based care using a dMH platform may further optimize YYA outcomes by individualizing treatment approaches. Engaging service providers and YYA provides an opportunity to better understand how to mitigate implementation challenges.

Aim

Explore the experiences of mental health care providers and YYAs regarding the implementation of a dMH platform for YYAs accessing mental health care in multiple care settings.

Methods

Mental health care providers and YYA service users completed an electronic survey exploring their experiences and perceptions of implementing a dMH platform. Survey design, data analysis, and reporting were informed by the Consolidated Framework for Implementation Research (CFIR).

Results

A total of 195 individuals (100 providers, 95 YYAs) responded. Of those, 48 providers and 79 YYAs reported using the platform at least once. Both groups identified several important factors supporting implementation including collaborative relationships between providers and YYAs, the ability to monitor mental health outcomes, and increased YYA engagement in care. The need for increased provider training and automatic reminders for YYAs to use the platform were common barriers. Each group perceived the other to be uninterested in using the platform, highlighting the importance of using all stakeholder views to inform implementation planning.

Conclusions

Successful implementation of dMH for care of YYA requires ongoing, user-informed training, integration into existing workflows, and alignment with YYA priorities for care. Future work exploring provider and youth perceptions of the others' "buy-in" is needed to inform future implementation strategies.