Post‐traumatic growth following a first episode of psychosis: a scoping review
Bibliographic record
Abstract
AIM: A first-episode psychosis (FEP) is a traumatic experience that can often result in great suffering. However, in addition to suffering, persons affected by FEP may also experience post-traumatic growth (PTG) or the perception that good has followed psychosis. Although much is known concerning the negative outcomes following FEP, little attention has been given to the state of scientific knowledge on PTG following FEP. The aim of this study is to determine the state of knowledge concerning PTG following FEP to help set the stage for a full systematic review. METHODS: A scoping review was conducted following six steps: identifying the research question and relevant studies, selecting studies, charting the data, coding and summarizing results and consulting with relevant stakeholders regarding the findings. RESULTS: Post-traumatic growth following FEP was described mostly as following the process of recovery and primarily, in qualitative articles. Themes related to PTG included developing positive character traits, making positive lifestyle changes, developing stronger connections with others, integrating the FEP with the self, experiencing greater religiosity and appreciating life more. CONCLUSIONS: In addition to the negative aftermath of FEP, PTG may also occur. Evidence of PTG following FEP will be examined in a systematic review focused on the recovery and qualitative literature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 teacher head, 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".