Improving access to specialized care for first-episode psychosis: an ecological model
Bibliographic record
Abstract
Psychotic spectrum disorders are serious illnesses with symptoms that significantly impact functioning and quality of life. An accumulating body of literature has demonstrated that specialized treatments that are offered early after symptom onset are disproportionately more effective in managing symptoms and improving outcomes than when these same treatments are provided later in the course of illness. Specialized, multicomponent treatment packages are of particular importance, which are comprised of services offered as soon as possible after the onset of psychosis with the goal of addressing multiple care needs within a single care setting. As specialized programs continue to develop worldwide, it is crucial to consider how to increase access to such specialized services. In the current review, we utilize an ecological model of understanding barriers to care, with emphasis on understanding how individuals with first-episode psychosis interact with and are influenced by a variety of systemic factors that impact help-seeking behaviors and engagement with treatment. Future work in this area will be important in understanding how to most effectively design and implement specialized care for individuals early in the course of a psychotic disorder.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".