Downtime after Critical Incidents in Emergency Medical Technicians/Paramedics
Bibliographic record
Abstract
Effective workplace-based interventions after critical incidents (CIs) are needed for emergency medical technicians (EMT)/paramedics. The evidence for a period out of service post-CI (downtime) is sparse; however it may prevent posttraumatic stress disorder (PTSD) and burnout symptoms. We examined the hypothesis that downtime post-CI is associated with fewer symptoms of four long-term emotional sequelae in EMT/paramedics: depression, PTSD, burnout, and stress-related emotional symptoms (accepted cut-offs defined high scores). Two hundred and one paramedics completed questionnaires concerning an index CI including downtime experience, acute distress, and current emotional symptoms. Nearly 75% received downtime; 59% found it helpful; 84% spent it with peers. Downtime was associated only with lower depression symptoms, not with other outcomes. The optimal period for downtime was between <30 minutes and end of shift, with >1 day being less effective. Planned testing of mediation of the association between downtime and depression by either calming acute post-CI distress or feeling helped by others was not performed because post-CI distress was not associated with downtime and perceived helpfulness was not associated with depression. These results suggest that outcomes of CIs follow different pathways and may require different interventions. A brief downtime is a relatively simple and effective strategy in preventing later depression symptoms.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.071 | 0.005 |
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; both teacher heads agree on what is shown here.
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".