Stop sticks: Reducing the risk of needlestick injuries in paramedic practice
Bibliographic record
Abstract
At any moment while performing patient care duties, paramedics are at risk of exposure to blood and infection from blood-borne pathogens such as human immunodeficiency virus (HIV), which causes AIDS, hepatitis\nB virus (HBV), and hepatitis C virus (HCV). According to Public Health Agency of Canada, in 2014 a total of 65,040 Canadians were infected with HIV with one in five unaware that they had contracted the virus. In\n2015 2,096 individuals were newly diagnosed. \nFurthermore, in 2011 461,000 Canadians had a history of HCV with 220,000-246,000 chronically affected.(1,2) Unlike many other health care professionals, paramedics work in ever changing environments such as an accident scene, locations with limited visibility or space, and most commonly, in the back of a moving ambulance. A paramedic's scope of practice includes administering medications via injection, blood glucose sampling, and in some services, IV cannulation. Patient condition can\nbe unpredictable as they may be disoriented, violent, experiencing uncontrollable haemorrhaging, or may need to be resuscitated.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".