Post‐traumatic stress disorder symptoms among emergency nurses: their perspective and a ‘tailor‐made’ solution
Bibliographic record
Abstract
AIM: The goal of this study was to identify support activities for emergency room nurses who have been exposed to traumatic events, in order to prevent post-traumatic stress disorder. BACKGROUND: Emergency room nurses experience stress during traumatic events, for which they need support. It turns out that such support is insufficient, ineffective or non-existent. METHODS: This qualitative study was carried out among twelve emergency room nurses from January to May 2007. Semi-structured interviews and a focus group were conducted. Content analysis fulfilled the objectives of our research. RESULTS: The frequency of traumatic events leading to contextual exposure and exposure as a witness increases with years of experience (r=0·67 and r=0·57). The frequency of post-traumatic stress disorder symptoms decreases with age (r=-0·83). The data demonstrate the importance of having a supportive social network and being able to talk things over with colleagues. The support activities considered include all types of prevention. They consist primarily of a peer support system, psycho-education and emergency room simulations. CONCLUSION: A three-level complex of support activities represents a promising solution to prevent and treat post-traumatic stress disorder among emergency room nurses. A further study to test its effectiveness is currently underway.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".