BC Paramedics and the Shift They Deal With: Levels of Fatigue, Sleep Quality, Mental Health, Medical Error, and Safety Associated With Their Shift Work Patterns
Bibliographic record
Abstract
Fatigue and poor sleep quality have previously been documented to be common among paramedics around the world and have been associated with several factors - including precursors such as the timing and duration of shift work, and outcomes such as mental health problems, medical errors, and safety issues. While these factors have been studied in paramedics across Canada, little is currently known in the scientific literature about the degree to which they affect paramedics specifically in British Columbia (BC). Also, the majority of BC paramedics work on-call shifts which, due to their low pay and typically remote rural locations, may increase factors during off hours that are known to exacerbate fatigue and sleep problems, such as the need to work multiple jobs and make long commutes. The purpose of this study is to use previously validated questionnaires to assess the levels of fatigue, sleep quality, mental health, medical error, and safety in BC paramedics and to examine the associations of these factors with their shift work patterns.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".