‘We've got another one for you!’ Liaison psychiatry's experience of stigma towards patients with mental illness and mental health professionals
Bibliographic record
Abstract
Aims and method To assess stigmatising attitudes towards mental illness and psychiatric professionals experienced by UK liaison psychiatry staff. A questionnaire asked about the impact of these events on patient care and for suggestions for tackling stigma in the general hospital. Results Out of 72 multidisciplinary respondents, over three-quarters had experienced stigmatising attitudes towards mental illness by general hospital colleagues at least monthly. Two-thirds reported instances where stigmatisation had an adverse impact on patient care, and over a quarter reported stigmatising attitudes towards mental health professionals. Suggestions for combating stigma included educational initiatives, clear clinical communication, and the provision of high-quality liaison services. Clinical implications Liaison psychiatry is well placed to both recognise and combat stigma in the general hospital. This can help to ensure that patient care is comprehensive, safe and respectful.
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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) | 0.000 | 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) | 0.001 | 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".