237 Empowering Youth in Mental Health Treatment: A Co-Designed Approach to Measurement-Based Care
Bibliographic record
Abstract
OBJECTIVES/GOALS: This integrated knowledgetranslationproject aims to increase youth engagement in mental health services through enhancing shared decision-making processes. To do this, a knowledge product to support greater involvement in measurement-based care practices will be evaluated and co-developed with youth study participants. METHODS/STUDY POPULATION: This study population includes youth (aged 12-25) with lived/living experience of accessing mental health services through an integrated service delivery model in Ontario. Study methods focus on co-designing a knowledge product with youth partners guided by the Knowledge-to-Action (KTA) Framework. The prototype knowledge product addressing identified barriers to MBC understanding, will be quantitatively evaluated by study participants. Through semi-structured focus groups, qualitative perspectives of the intervention’s impact on shared decision-making and overall engagement in treatment will be collected. The study’s design ensures active collaboration with the study population and aims to enhance MBC understanding and engagement in mental health care among youth. RESULTS/ANTICIPATED RESULTS: We anticipate increased youth involvement within MBC practices, and overall increased engagement in shared-decision making in treatment. We anticipate the developed knowledge product will enhance youth’s understanding of MBC, foster dialogue between youth and clinicians, and promote active involvement and informed decision-making in their mental health treatment. By involving youth in the co-design process, our project is poised to foster a sense of ownership and relevance, ultimately improving youth engagement, decision-making, and mental health outcomes within integrated mental health services. DISCUSSION/SIGNIFICANCE: Youth deserve to have an active role in shaping treatment decisions. This tool may bridge a gap by equipping youth with the knowledge needed to engage in decisions that are often practitioner-led. This study will discuss the impact and strategies for increasing involvement in MBC practices on youth engagement within treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".