Expectations vs reality: The expectations and experiences of psychiatric treatment reported by young adults at a mood and anxiety outpatient mental health program
Bibliographic record
Abstract
AIM: To compare young adults' expectations of psychiatric treatment to their actual experiences and identify myths and assumptions that youth might hold prior to receiving care. METHODS: We interviewed youth who engaged in at least 4 months of treatment at the First Episode Mood and Anxiety Program to theme saturation (N = 20). They were asked about their experience of treatment and the expectations they had prior to care. Transcribed interviews were analysed for themes. RESULTS: Results indicated that participants often expected a cold, serious atmosphere, a "quick fix," and a directive therapeutic relationship. Although most patients had a negative experience at some point in their care, they overall described a welcoming environment with engaged providers and a collaborative therapeutic relationship. Participants found treatment more complex than they had anticipated, but ultimately experienced strengthening of agency and a change in perspective. CONCLUSIONS: These results identify a need to recognize assumptions held by young adults seeking treatment for mental health symptoms. Addressing these preconceptions might reduce apprehension and improve readiness for treatment. This research provides direction on how to dispel myths and better prepare youth for the work involved in effective psychiatric care.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".