Family and Youth Mental Health Needs and Outcomes in a Navigation Service: A Retrospective Chart Review.
Bibliographic record
Abstract
OBJECTIVE: The process of patient navigation involves system resource experts matching patients to the most appropriate services. Patient navigation within the mental health and/or addictions (MHA) system is only a recent development and has not undergone extensive research. This study examines trends regarding clients of a family navigation service in Toronto, Canada, which supports families of youth ages 13-26 with MHA concerns. METHOD: A retrospective chart review was conducted using a sample of 200 cases from the first 989 clients of the navigation service. Descriptive statistics were performed to examine the general characteristics and demographics of navigation clients, the MHA profiles of navigation clients, and the characteristics of navigation. To predict the service needs and goals of navigation clients, four forward likelihood ratio multinomial logistic regression analyses were performed. RESULTS: = .04) compared to families with a youth who had not received a formal psychiatric diagnosis. CONCLUSION: The findings contribute to an understanding of family navigation within the MHA field, and may support the development of targeted navigation programs that meet youth and families' needs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".