The Camberwell Assessment of Need: comparison of assessments by staff and patients in an inner-city and a semi-rural community area
Bibliographic record
Abstract
Aims and Method The aim of the study was to examine the association between the assessment of need by staff and by severely mentally ill patients using the Camberwell Assessment of Need in a semi-rural setting (Maidstone, n =50) and an inner-city area (Camberwell, n =127). Staff and patients were interviewed separately. We specifically examined differences in the total number of needs between Camberwell and Maidstone, differences in the number of unmet needs and differences in the level of agreement between staff and service users. Results Patients in Maidstone had fewer needs than those in Camberwell according to both staff (4.9 v . 5.8) and patients (4.2 v . 6.3), fewer unmet needs rated (staff, 1.1 v . 1.5; patients, 1.0 v . 1.9) and a greater level of concordance between staff and patients. Clinical Implications The needs of severely mentally ill patients were greater in the inner-city area compared with the semi-rural one. The fact that agreement between staff and service users was less in the inner-city area also suggests that more stable staff–patient relationships existed in the rural area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".