Process Evaluation of an Early-Intervention Program for Mood and Anxiety Disorders Among Older Adolescents and Young Adults
Bibliographic record
Abstract
OBJECTIVE: Research to determine the best approach for providing early intervention for mood and anxiety disorders is imperative. The authors describe a process evaluation of an early-intervention program for transition-age youths with mood or anxiety disorders. METHODS: Causal and logic models for pathways to care for the program, as well as descriptive data from 548 participating youths, are presented. Follow-up measures of functional improvement are reported. RESULTS: Diagnostic characterization, symptom severity, and functional impairment of participants indicated that the model selected an appropriate catchment population without creating excessive overinclusion. Self-referred youths reported greater anxiety and substance use. Acceptance by the program was predictive of greater follow-through with treatment. Several variables, including frequent lifetime marijuana use, predicted loss to follow-up. At follow-up, youths were significantly functionally improved. CONCLUSIONS: This process evaluation indicated that the model provided appropriate early intervention for youths with mood or anxiety disorders without causing excessive overinclusion.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".