Towards a Better Use of Safety Planning in Emergency Departments: An Exploratory Study of Patients and Clinicians’ Perspectives
Bibliographic record
Abstract
Suicidality frequently leads to emergency department (ED) visits, yet few interventions are offered in EDs to mitigate suicide risk. This study uses a descriptive interpretative design to evaluate the key components for a successful use of such an intervention, the Stanley-Brown safety plan, in EDs. Semi-structured interviews were conducted with patients and ED clinicians and were analyzed using a thematic analysis approach. Participants' perspectives revealed 6 key recommendations for a successful use of the safety plan in EDs: (1) personalize the content of the safety plan, (2) offer a variety of formats, (3) avoid periods of high emotional intensity, (4) engage a broad range of professionals in safety planning, (5) use limited time to make meaningful interventions, (6) propose alternative interventions. A change in the ED culture is needed to ensure that the management of suicidal patients in EDs includes brief therapeutic interventions like safety planning, to mitigate suicide risk.
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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 | 0.016 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".