1208. Preventing Transmission of Bloodborne Viruses from-Infected Healthcare Workers to Patients in Canadian Healthcare Settings: A National Guideline
Bibliographic record
Abstract
Abstract Background Infectious agents, such as bloodborne viruses (BBVs), can potentially be transmitted from healthcare workers (HCWs) to patients. In an effort to reduce this risk to patients, this guideline, which provides a framework for policies on the management of HCWs infected with BBVs in Canada, was developed. Methods A total of six systematic reviews (1995–2016) were conducted to inform the risk of transmission of human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV) from infected HCWs to patients and the infectivity of each virus related to source serum viral load. Three environmental scans were conducted to inform sections on disclosure of HCW’s serologic status, Expert Review Panels, and lookback investigations. Government partners and key stakeholder organizations were consulted and a Task Group provided technical expertise. Results The risk of HCW-to-patient BBV transmission is negligible, except during exposure-prone procedures where there is a risk of HCW injury and possible exposure of a patient’s open tissues to the HCW’s blood. Transmission rates were lowest with HIV and highest with HBV (Table 1). Rates varied with several factors including source viral load, nature of potential exposure, infection prevention and control breaches, susceptibility of exposed patient, and use of post-exposure prophylaxis where relevant. The extent of reporting bias for exposure incidents where transmission did not occur is unknown. Current antiviral therapy informed guideline recommendations, with viral load thresholds provided to assist treating physician, Expert Review Panels and regulatory authorities in determining a HCW’s fitness for practice. Conclusion Routine Practices (or Standard Precautions) are critical to prevent HCW-to-patient transmission of infections; including BBVs. Recommendations provided in this guideline aim to further reduce the already minimal risk of HCW-to-patient transmission. The guideline provides a pan-Canadian approach for managing HCWs infected with a BBV, with recommendations directly impacting clinical practice related to preventing and controlling healthcare-associated infections. Disclosures All authors: No reported disclosures.
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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 | 0.019 | 0.068 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".