Description, evaluation and scale‐up potential of a model for rapid access to early intervention for psychosis
Bibliographic record
Abstract
AIM: This paper aims to describe the entry protocol of the Prevention and Early Intervention for Psychosis Program (PEPP)-Montreal, an early intervention program for psychosis. The protocol is designed to fulfil a key objective of the early intervention movement-reducing delays to accessing high-quality care. The paper also aims to describe how this rapid entry protocol can be deployed in other services interested in reducing delays in initiating treatment. METHODS: PEPP provides rapid, easy access to quality care by placing a single, well-trained professional, the intake clinician, at the point of entry. Anyone can refer a youth directly and without formalities to the intake clinician who responds promptly and sensitively to all help-seeking, whether by a youth, a family member, a school counsellor or anyone acting on behalf of a youth in need. To promote accessibility, PEPP guarantees an initial assessment within 72 hours; maintains relationships with referral sources; and conducts awareness-enhancing outreach activities. RESULTS: Since 2003, PEPP has received 1750 referrals, which have all been responded to within 72 hours. Families have been involved in the intake process in 60% of the cases and hospitalization may have been averted in over half of the referrals originating from emergency-room services. Another indicator of success is the very low turnover in the intake clinician's position. Overall, the PEPP model has succeeded in providing rapid, engaging, easy and youth-friendly access to high-quality care. CONCLUSION: The success of this protocol at PEPP has inspired the entry protocols at other first-episode psychosis services. Its ability to provide rapid, engaging access to high-quality services may allow this protocol to become a model for other early intervention services for psychosis and other mental illnesses.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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".