Factors associated with symptom severity in Canadian youth with mental health and/or addictions concerns accessing service navigation
Bibliographic record
Abstract
This study investigated the factors associated with clinical symptoms and level of functioning at baseline and after 4 months of navigation, in youth with mental health and/or addiction concerns involved with a family navigation service. Participants in this pre-post study were caregivers who accessed a mental health and addictions navigation service between March 2018 and July 2019 on behalf of their youth aged 13–26 who had mental health and/or addiction concerns. Evaluations were conducted at baseline and at 4 months after entering navigation. The dependent variable, youth mental health symptoms and functioning, was assessed by caregivers using the Symptoms and Functioning Severity Scale. The sample included 345 caregivers of youth (youth: mean age 18 years, 57% male). At intake, using multiple linear regression, caregiver strain (β = 0.481, p < 0.001), youth completion of ADLs (β = −0.156, p = 0.002) and youth motivation (β = −0.110, p = 0.021) contributed significantly to variance in symptoms and functioning (R2 = 0.373, p < 0.001). Using ANOVA to compare complete pre/post data (n = 115), there was a significant main effect of time on the youth symptoms and functioning score (F[1, 107] = 9.278, p = 0.003). Furthermore, the interaction of time, youth completion of ADLs (low vs. high at baseline) and youth motivation (low vs. high at baseline) was significant (F[1, 107] = 4.699, p = 0.032). Youth with low motivation and low completion of ADLs at baseline experienced the largest improvements in symptoms and functioning after 4 months of navigation. These findings suggest that this group of youth should be a primary target in mental health and addiction navigation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".