Training foundation doctors in mental health risk assessment as a tool in the fight against suicide
Bibliographic record
Abstract
Aims To determine the perceptions of Junior Doctors on whether formal training in risk assessment could help to reduce the number of completed suicides following medical contact. Method Foundation trainees within the Great Western Trust were surveyed using a questionnaire. For those trainees that were not present on the acute hospital site, the same questionnaire was distributed by the postgraduate medical team to all trainees using survey monkey. The survey was left open for four weeks. The total response rate was 57/88 foundation trainees. Simple statistical analysis of the data was performed and outlined below. Result 87% of all the trainees have never done a rotation in psychiatry. 51% of foundation doctors have had between 1-5 patients with suicidal behaviour or ideations admitted under the care of a medical team on which they were the junior doctor and up to 26% have admitted to encountering greater than 10 such patients. Only 37% of foundation trainees who have managed patients with suicidal behaviours admitted to having had any formal training in mental health risk assessment. Foundation trainees report being only somewhat confident in the identifying of factors that make a person high risk of completing suicide. 63% of all foundation trainees would refer any patient who expressed suicidal ideation for formal psychiatric assessment. Majority of the trainees were ‘not so confident’ in their ability to assess a patient's risk of suicide and in offering any help to mitigate this risk. None of the trainees have the intention to pursue psychiatry as a medical specialty and majority (60%) intend to pursue medical specialties. 56% of the trainees felt that training foundation doctors formally to assess patient mental health risk, could reduce the percentage of patients with completed suicide following being seen for non-psychiatric reason. Conclusion The UK Foundation Program is a bridge that occupies that gap between undergraduate medical education and specialty training. It therefore an ideal opportunity for training clinicians in mental health risk assessment as one strategy to help reduce completed suicide following non-psychiatric health contact.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".