Emergency department impaired adherence to personal protective equipment donning and doffing protocols during the COVID-19 pandemic
Bibliographic record
Abstract
OBJECTIVES: Coronavirus Disease 2019 (COVID-19) is a highly infectious viral pandemic that has claimed the lives of millions. Personal protective equipment (PPE) may reduce the risk of transmission for health care workers (HCWs), especially in the emergency setting. This study aimed to compare the adherence to PPE donning and doffing protocols in the Emergency Department (ED) vs designated COVID-19 wards and score adherence according to the steps in our protocol. DESIGN: Prior to managing COVID-19 patients, mandatory PPE training was undertaken for all HCWs. HCWs were observed donning or doffing COVID-19 restricted areas. SETTING: Donning and doffing was observed in COVID-19 designated Emergency department and compared to COVID-19 positive wards. PARTICIPANTS: All HCWs working in the aforementioned wards during the time of observation. RESULTS: We observed 107 donning and doffing procedures (30 were observed in the ED). 50% HCWs observed donned PPE correctly and 37% doffed correctly. The ED had a significantly lower mean donning score (ED: 78%, Internal: 95% ICU: 96%, p < 0.001); and a significantly lower mean doffing score (ED: 72%, Internal: 85% ICU: 91%, p = 0.02). CONCLUSIONS: As hypothesized, HCWs assigned to the designated ED wing made more protocol deviations compared with HCWs positive COVID-19 wards. Time management, acuity, lack of personnel, stress and known COVID-19 status may explain the lesser adherence to donning and doffing protocols. Further studies to assess the correlation between protocol deviations in use of PPE and morbidity as well as improvement implementations are required. Resources should be invested to ensure PPE is properly used.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".