Applying Human Factors to Reduce Healthcare-Associated Infections Caused by Face Touching
Bibliographic record
Abstract
Canada is currently facing a critical healthcare worker (HCW) shortage, in part resulting from absenteeism due to healthcare-associated infection (HAI). HCWs are at greater risk of infection and are among the most common sources of HAI transmission. Face touching is a behaviour that HCWs engage in on average 20-23 times per hour, and is one way for HCWs to infect themselves. While personal protective equipment (e.g., face masks) has been found to decrease face touching, the behaviour still occurs. We conducted a literature review on face touching, previously proposed solutions for addressing face touching, and the applications of human factors in mitigating face touching behaviours. We also conducted a pilot study of semi-structured interviews with three HCWs using the Lead User method to understand their needs and explore how best to decrease face touching, which resulted in several suggested interventions for reducing face touching.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".