Measuring Quality of Care Received by Suicide Attempters in the Emergency Department
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CONTEXT: Audits conducted on medical records have been traditionally used in hospitals to assess and improve quality of medical care but have yet to be properly integrated and used for suicide prevention purposes. We aimed to (1) revise a quality of care grid and adapt it to an adult population of suicide attempters and (2) identify quality of care deficits in managing adult suicide attempters at the emergency department (ED) in two different Montreal university hospitals. METHODS: An existing checklist for quality of medical and social care in the ED was adapted. A systematic search and data extraction of all suicide attempters in two different Montreal university hospitals were then conducted. All identified individuals who attempted suicide were fully reviewed and quality of care was assessed. RESULTS: Eleven criteria were kept by the expert focus group in the revised grid that was then used to rate 369 individuals that attempted suicide. Suicide risk assessment was only present in 63% of attempters before discharge. Although family history was documented for 90% of attempters, in only 41% of the cases were interviews conducted with relatives. Most discharged patient lacked proper follow-up considering 11% of their relatives received written information on resources in case of need. DISCUSSION: Paper records may be used to systematically assess the quality of care for suicide attempters seen in ED. Results reiterate the need for better suicide prevention strategies for these individuals. The checklist proved to be an excellent assessment of best practices or identification of possible improvements.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it