Needs for mental health treatment among general practice attenders
Bibliographic record
Abstract
BACKGROUND: No study has directly assessed the need for mental health care among those consulting in general practice. AIMS: To make a direct assessment of the needs for mental health care in people with non-psychotic disorders consulting their general practitioner. METHOD: In a two-phase study design, consecutive general practice attenders aged 17-65 years were interviewed using the Structured Clinical Interview for DSM-IV Axis I Disorders. Needs for care were assessed using the community version of the Medical Research Council Needs for Care Assessment Schedule. RESULTS: Three hundred and thirty-six people were interviewed. The overall prevalence of need was 27.3%. More than half of the consulters (59.6%) had unmet needs and a further 6.2% had partially met needs. Needs were met in 28.1% and unmeetable in 6.2%. The prevalence of unmet need in those with anxiety disorders was 13.9% and depressive disorders 9.5%. CONCLUSIONS: The unmet need for mental health treatment in primary care attenders is high.
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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 | 0.001 | 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".