A Randomized Trial of Instructor-Led Training Versus Video Lesson in Training Health Care Providers in Proper Donning and Doffing of Personal Protective Equipment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This study compared live instructor-led training with video-based instruction in personal protective equipment (PPE) donning and doffing. It assessed the difference in performance between (1) attending 1 instructor-led training session in donning and doffing PPE at 1 month prior to assessment, and (2) watching training videos for 1 month. METHODS: This randomized controlled trial pilot study divided 21 medical students and junior doctors into 2 groups. Control group participants attended 1 instructor-led training session. Video group participants watched training videos demonstrating the same procedures, which they could freely watch again at home. After 1 month, a doctor performed a blind evaluation of performance using checklists. RESULTS: Nineteen participants were assessed after 1 month. The mean donning score was 84.8/100 for the instructor-led group and 88/100 for the video group; mean effect size was 3.2 (95% CI: -7.5 to 9.5). The mean doffing score was 79.1/100 for the instructor-led group and 73.9/100 for the video group; mean effect size was 5.2 (95% CI: -7.6 to 18). CONCLUSION: Our study found no significant difference in donning and doffing scores between instructor-led and video lessons. Video training could be a fast and resource-efficient method of training in PPE donning and doffing in responding to the COVID-19 pandemic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it