Supporting people in Early Intervention in Psychosis services: the role of primary care
Bibliographic record
Abstract
BACKGROUND: Early Intervention in Psychosis (EIP) services offer treatment to people experiencing a first episode of psychosis. Service users may be referred from primary care and discharged directly back at the end of their time in an EIP service. AIM: To explore the role of primary care in supporting EIP service users (SUs) and to understand how to improve collaboration between primary and specialist care. METHOD: Qualitative study comprising semi-structured interviews with SUs, carers, healthcare professionals (HCPs), managers, and commissioners. Interviews were conducted either online or by telephone. Thematic analysis was carried out using principles of constant comparison. Patient and public involvement were key to all stages, including data analysis. RESULTS: = 33). GPs reported difficulties in referring people into EIP services and little contact with SUs while in EIP services, even about physical health. GPs suggested they were not included in planning discharge from EIP to primary care. SUs and carers reported that transition from EIP can lead to uncertainty, distress, and exacerbation of symptoms. GPs reported only being made aware of patients on or after discharge, with no contact for 3 years. GPs described difficulty managing complex medication regimes, and barriers to re-referral to mental health services. CONCLUSION: GPs have a key role in supporting people within EIP services, specifically monitoring and managing physical health. Inclusion of GPs in planning discharge from EIP services is vital.
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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 | 0.000 | 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".