A77 A REUSABLE POLYCARBONATE BOX TO DECREASE DROPLET CONTAMINATION DURING UPPER ENDOSCOPY: A SIMULATION-BASED STUDY FOR THE COVID-19 PANDEMIC
Bibliographic record
Abstract
Abstract Background Upper gastrointestinal (GI) endoscopic procedures are aerosol-generating, increasing the risk of healthcare workers (HCW) contracting Coronavirus disease 2019 (COVID-19). Aims To present a polycarbonate box (EndoBox) designed for use in upper GI endoscopy and evaluate its impact on the contamination of endoscopy staff during simulated procedures. Methods Simulated gastroscopies were performed using an upper body simulator placed in left lateral decubitus (LLD) and supine positions. The endoscopist and assistant wore personal protective equipment. Droplet exposure was measured using fluorescent abiotic surrogate particles. Two blinded observers independently viewed images from each scenario to qualitatively evaluate contamination levels. The primary outcome was the level of HCW contamination by droplets generated from a simulated cough with and without the EndoBox on the upper body simulator. The endoscopist’s ergonomic behaviour was also assessed using the Rapid Upper Limb Assessment (RULA) tool. Results Without the EndoBox, there was a higher level of contamination on the endoscopist when the upper body simulator is in the LLD position. A higher level of contamination was observed on the assistant when the simulator is in supine position. With the EndoBox, the contamination levels on the endoscopy staff were lower in both LLD and supine scenarios. The endoscopist’s ergonomics were rated 2 to 3 on the RULA tool when using the EndoBox. Conclusions The EndoBox reduces macroscopic droplet contamination during simulated gastroscopy. The endoscopist’s risk of musculoskeletal injury remained in the low risk categories as assessed by the RULA tool. Another advantage of the EndoBox design is the arch extending from the bottom that allows for removal of the box without withdrawing the endoscope. This enables rapid access to the patient’s airway if they experience respiratory distress. This study was limited by an inability to assess microscopic contamination and contamination at the level of the port or buttons when suction is applied. Within these limitations, the EndoBox may be a useful adjunct to traditional personal protective equipment. Funding Agencies SMHA AFP COVID-Related Innovation Funds
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".