Prevalence of psychiatric disorder and the need for psychiatric care in Northern Ireland
Bibliographic record
Abstract
BACKGROUND: This is the first report on the epidemiology of psychiatric disorders and needs for psychiatric treatment in the District of Derry, Northern Ireland. AIMS: To assess the prevalence of psychiatric disorder and the needs for treatment in the general population of Derry. METHOD: The sample was drawn at random with a two-phase design using the General Health Questionnaire (GHQ-28) during the first phase, and the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) with the Needs for Care Assessment (NFCAS-C) in the second phase. RESULTS: The second phase (n=307) gave a weighted 1-month prevalence of hierarchically ordered ICD-10 psychiatric disorders of 7.5% and a 1-year prevalence of 12.2%. The equivalent prevalences for depressive disorders were 2.4% and 6.0%, respectively, and those for anxiety states were 3.5% and 3.7%. Only a quarter of needs for treatment were met, with the situation being better for depression than for anxiety. CONCLUSIONS: The rates of psychiatric disorder in Derry were even higher than those reported by a similar survey in inner London. This almost certainly reflects the very high levels of social deprivation in the District. Needs for treatment were often unmet.
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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".