“It’s Brought Me a Lot Closer to Who I Am”: A Mixed Methods Study of Posttraumatic Growth and Positive Change Following a First Episode of Psychosis
Bibliographic record
Abstract
Background: A first episode of psychosis is often a traumatic experience, may also lead to positive change, a phenomenon that has received little attention. This knowledge gap may impede service providers’ capacity to foster positive change among service users. Objective: to investigate aspects of positive change among persons receiving early intervention services for psychosis. Design: The study objective was addressed using a mixed methods convergent design, which entailed simultaneously conducting a qualitative and a quantitative component. Setting: This study was conducted at a specialized early intervention service for psychosis based in Montreal, Quebec, Canada. Participants: Participants included service users receiving services at the early intervention service for psychosis. Participants had to be fluent in English or French; be clinically stable enough to take part in the study; and have received at least 6 months of treatment. Participants were conveniently sampled in the quantitative component and purposefully sampled in the qualitative component. The quantitative component was carried out using a cross-sectional survey design. Ninety-four participants completed the Posttraumatic Growth Inventory, a widely used measure of positive change. Data on the extent and domains of posttraumatic growth were summarized using descriptive statistics. The qualitative component was carried out using a qualitative descriptive approach. Semi-structured interviews were conducted with 12 participants. Data were analyzed using thematic analysis. Findings from both components were integrated using a weaving method in the discussion section. Results: Quantitative results indicated that most participants experienced moderate amounts of posttraumatic growth. A greater appreciation of life was the most commonly endorsed domain, while spiritual growth was the least commonly endorsed domain. The qualitative results revealed that in addition to suffering, participants experienced positive changes such as improved health and personality, and a stronger sense of self; stronger, more balanced religiosity and spirituality; improved relationships with others; and improved lifestyles, goals, and expectations for the future. Conclusions: Positive change may be a common phenomenon in the aftermath of first-episode psychosis. The study findings offer hope to those who have experienced a first episode of psychosis and can inform efforts by early intervention services to provide recovery-oriented, growth-focused care.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".