The Suicide Risk Assessment and Management Manual (S-RAMM) Validation Study II
Bibliographic record
Abstract
Abstract Objectives: Structured professional judgement is now the most widely accepted approach to clinical risk assessment and risk management. The Suicide Risk Assessment and Management Manual (S-RAMM) is a new structured professional judgement tool closely modelled on the HCR-20. This is the first prospective validation study for this instrument. Methods: Two post-membership registrars jointly interviewed 81 of 83 current inpatients to rate the S-RAMM. Two assistant psychologists independently rated the HCR-20, GAF and PANSS. All incidents of self-harm, attempted suicide, suicide and violence to others were collated from hospital reporting of critical incidents over the next six months supplemented by examination of other records. Results: For combined self-harm and suicide outcomes, the S-RAMM total score using the receiver operating characteristic had an area under the curve AUC=0.89, (95% CI 0.79 to 0.99). The S-RAMM performed as well for the prediction of self-harm and suicide as the HCR-20 did for violence, and better than measures of mental state (PANSS total score) and global function (GAF). Conclusions: The S-RAMM has better than minimum acceptable characteristics for use as a clinical or research tool for suicide risk assessment, and performs almost as well as the HCR-20 does for violence. Further prospective studies are now required, in other populations.
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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 | 0.003 | 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 | 0.001 |
| 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".