Perceived facilitators and predictors of positive change and posttraumatic growth following a first episode of psychosis: a mixed methods study using a convergent design
Bibliographic record
Abstract
BACKGROUND: This study aimed to identify predictors and perceived facilitators of positive change and posttraumatic growth in persons with a first episode of psychosis using a mixed methods convergent design. METHODS: In the quantitative component, 94 participants completed measures of posttraumatic growth and predictors of posttraumatic growth. The qualitative component involved in-depth interviews with 12 participants. RESULTS: Quantitative results revealed that being hospitalized for psychosis, spiritual coping, positive reframing and subjective recovery were significant predictors of posttraumatic growth. Qualitative findings revealed that positive change was perceived to be facilitated by the psychosis itself; receiving mental health services; drawing on personal and social resources and strategies; healing and recovering; a meaning-making and knowledge gaining process; and normative developmental processes. CONCLUSIONS: Posttraumatic growth following a first episode of psychosis may therefore be facilitated by complex person-environment interactions.
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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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".