Early Psychoeducational Intervention for Youth and Young Adults at Risk for Bipolar Disorder: A Feasibility Study: Intervention psychoéducative précoce pour les adolescents et les jeunes adultes à risque de trouble bipolaire : Une étude de faisabilité
Bibliographic record
Abstract
OBJECTIVE: Bipolar disorder (BD) often goes unrecognized and untreated for several years leading to serious consequences. We have recently developed a manualized telehealth-based group psychoeducational and resilience enhancement program for individuals at high risk for bipolar disorder (PREP-BD). The primary objective of this study was to assess the feasibility of implementing PREP-BD to enhance help-seeking intentions among high-risk individuals. METHOD: = 21), aged 17 to 24 years, who met the bipolar at-risk criteria, were assigned to one of four cohorts. Primary outcomes for this feasibility trial included sign-up rate, completion rate, and acceptability as measured by the Client Satisfaction Questionnaire (CSQ-8). Preliminary efficacy was assessed using validated measures of help-seeking intentions, resilience, quality of life, and stigma, with pre- and post-intervention comparisons. RESULTS: Our findings indicate excellent feasibility as evidenced by timely recruitment, 100% sign-up rate, and 76.19% completion rate (defined as attending at least 75% of group sessions). The intervention showed preliminary improvements in help-seeking intentions, particularly for a hypomanic scenario. Quality of life also demonstrated significant improvement, while resilience and self-stigma showed non-significant trends toward improvement. CONCLUSION: Our findings suggest the feasibility of implementing psychoeducation as an early identification strategy in individuals at risk for BD. Future randomized controlled trials are needed to investigate the effectiveness of PREP-BD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".