A systems approach to address the impact of second victim phenomenon
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
Over the last decade, second victim phenomenon (SVP) has been identified as a serious issue for healthcare workers (HCWs). Results from a 2018 survey of Canadian HCWs demonstrated that the majority of those who responded had experienced SVP and indicated that there was a lack of support in the workplace. The overall objectives of this paper are to a) heighten the awareness about SVP and its impact on HCWs and 2) to recommend an organizational/systems approach to support HCWs as second victims. This will be accomplished by first defining SVP and its relationship to patient safety. We will apply a health geography framework which incorporates the concepts of location, place, human interaction, movement and region to demonstrate the variability across care settings and the need for a systems approach to support HCWs. A human geography approaches to SVP would allow policymakers, leadership teams and managers within a health care setting to uniquely tailor their support systems to their individual contexts, which in turn will create a workplace culture of safety that builds on the organization's unique qualities.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it