Application and Evaluation of a Multimodal Training on the Second Victim Phenomenon at the European Researchers’ Network Working on Second Victims Training School: Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: Health care workers (HCWs) are often impacted by distressing situations during patient care and can experience the second victim phenomenon (SVP). Addressing an adequate response, training, and increasing awareness of the SVP can increase HCWs' well-being and ultimately improve the quality of care and patient safety. OBJECTIVE: This study aims to describe and evaluate a multimodal training organized by the European Researchers' Network Working on Second Victims to increase knowledge and overall awareness of SVP and second victim programs. METHODS: We implemented a multimodal training program, following an iterative approach based on a continuous quality improvement process, to enhance the methodology and materials of the training program over the duration of 2 years. We conducted web-based surveys and group interviews to evaluate the scope and design of the training, self-directed learning materials, and face-to-face activities. RESULTS: Out of 42 accepted candidates, 38 (90%) participants attended the 2 editions of the Training School program. In the second edition, the level of participants' satisfaction increased, particularly when adjusting the allocated time for the case studies' discussion (P<.001). After the multimodal training, participants stated that they had a better awareness and understanding of the SVP, support interventions, and its impact on health care. The main strengths of this Training School were the interdisciplinary approach as well as the contact with multiple cultures, the diversity of learning materials, and the commitment of the trainers and organizing team. CONCLUSIONS: This multimodal training is suitable for different stakeholders of the health care community, including HCWs, clinical managers, patient safety and quality-of-care teams, academicians, researchers, and postgraduate students, regardless of their prior experience with SVP. Furthermore, this study represents a pioneering effort in elucidating the materials and methodology essential for extending this training approach to similar contexts.
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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 | 0.021 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".