Increasing access to mental health supports for 12–17-year-old Indigenous youth with the JoyPop mobile mental health app: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Indigenous youth in Northwestern Ontario who need mental health supports experience longer waits than non-Indigenous youth within the region and when compared to youth in urban areas. Limited access and extended waits can exacerbate symptoms, prolong distress, and increase risk for adverse outcomes. Innovative approaches are urgently needed to provide support for Indigenous youth in Northwestern Ontario. Using a randomized controlled trial design, the primary objective of this study is to determine the effectiveness of the JoyPop app compared to usual practice (UP; monitoring) in improving emotion regulation among Indigenous youth (12-17 years) who are awaiting mental health services. The secondary objectives are to (1) assess change in mental health difficulties and treatment readiness between youth in each condition to better understand the app's broader impact as a waitlist tool and (2) conduct an economic analysis to determine whether receiving the app while waiting for mental health services reduces other health service use and associated costs. METHODS: A pragmatic, parallel arm randomized controlled superiority trial will be used. Participants will be randomly allocated in a 1:1 ratio to the control (UP) or intervention (UP + JoyPop) condition. Stratified block randomization will be used to randomly assign participants to each condition. All participants will be monitored through existing waitlist practices, which involve regular phone calls to check in and assess functioning. Participants in the intervention condition will receive access to the JoyPop app for 4 weeks and will be asked to use it at least twice daily. All participants will be asked to complete outcome measures at baseline, after 2 weeks, and after 4 weeks. DISCUSSION: This trial will evaluate the effectiveness of the JoyPop app as a tool to support Indigenous youth waiting for mental health services. Should findings show that using the JoyPop app is beneficial, there may be support from partners and other organizations to integrate it into usual care pathways. TRIAL REGISTRATION: https://clinicaltrials.gov/study/NCT05898516 [registered on June 1, 2023].
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
| gpt | no category Domain: not available · Genre: Protocol About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
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 | 0.029 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".