Organizational strategies to address posttraumatic stress injuries among Canadian paramedics
Bibliographic record
Abstract
BACKGROUND: Paramedics are a high-risk occupational group for posttraumatic stress injuries (PTSI), and increasingly, evidence suggests that organizational factors play a significant role. While several resources for paramedic services to address PTSI exist, there is limited knowledge as to which PTSI-related programs and practices are implemented and how they are perceived in the workplace. OBJECTIVES: This research aimed to explore key informants' perspectives on existing and desired organizational-wide initiatives for, as well as the challenges and potential solutions to, the primary prevention, early detection and intervention, and disability management of PTSI in Canadian paramedic services. METHODS: Semi-structured interviews were conducted with 12 key informants from jurisdictions across Canada who have over five years of work experience in prehospital care. Interviews were audio-recorded, transcribed, and analyzed using thematic analysis. RESULTS: Eight recurrent organizational elements (themes) for addressing PTSI emerged: psychologically safe and healthy work culture; consistent supervisor support, mental health training and awareness, opportunities for recovery and maintaining resiliency, recognition of PTSI and its diverse risk factors, access to a variety of support initiatives for PTSI, communication during medical leave, and meaningful work accommodations. CONCLUSIONS: While organizational-wide initiatives were in place for the primary prevention, early detection and intervention, and disability management of PTSI, systemic challenges with coordination, resource allocation, and worker engagement were also identified. These challenges prevented paramedic services from optimally addressing PTSI in their workplace. Integrating considerations from the eight organizational elements to address PTSI into broader existing management systems may have merit in overcoming the systemic challenges.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.001 |
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".