Culturally Inclusive and Effective Digital Mental Health Interventions for Immigrant Youth in Canada’s Asian Diasporic Communities：Protocol for a Community-engagement Project (Preprint)
Bibliographic record
Abstract
BACKGROUND Racialized immigrant youth face a multitude of challenges that heighten their vulnerability to mental illness. Digital mental health has increasingly been recognized as an effective method to improve accessibility to mental health services for communities with limited access to inclusive care, particularly among youth. However, despite the growing emphasis on cultural inclusivity in interventions targeting racialized and marginalized populations, there remains a gap in empirical evidence regarding how culturally inclusive elements are integrated into digital mental health practices and their impact on the effectiveness of these interventions. OBJECTIVE Focusing on Asian immigrant youth in Canada, this protocol outlines our community-engaged project, which aims to assess whether current digital mental health interventions provide effective and culturally accessible support, and how we can collaboratively develop a framework for creating innovative, inclusive, and effective digital interventions to promote youth mental health. METHODS A two-phase community-engaged approach will be used to involve Asian immigrant youth facing mental health challenges, youth leaders, service providers, and stakeholders from East, Southeast, and South Asian communities. Phase one includes scoping reviews on the technology, access, and cultural inclusivity of digital mental health interventions for Asian and racialized newcomer youth in Canada. In phase two, 15 diverse Asian youth leaders and 15 service providers will participate in a 3.5-hour online session to discuss the need for effective digital mental health interventions, share results from the reviews, co-identify key elements of an inclusive and innovative intervention, and outline next steps for forming a community-campus research partnership focused on mental health promotion for Asian immigrant youth. RESULTS This project is expected to yield a co-developed framework outlining key elements of culturally inclusive and effective digital mental health interventions for Asian immigrant youth in Canada. Anticipated outcomes include enhanced understanding of cultural accessibility gaps in existing digital interventions and strengthened community-campus partnerships to support youth mental health. CONCLUSIONS This research aims to improve access to culturally safe and effective digital mental health interventions for Asian immigrant youth. Benefits include enhanced mental health support for this population, increased awareness of mental health issues among stakeholders, and the development of a framework for culturally inclusive mental health services
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.038 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.129 | 0.014 |
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 source (direct Gemma or distilled Codex), 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".