Mental practice as a novel learning strategy for donning and doffing personal protective equipment during the COVID-19 pandemic
Bibliographic record
Abstract
ABSTRACT The coronavirus disease 2019 (COVID-19) pandemic presents challenges to the effective use of personal protective equipment, including equipment shortages, staff unfamiliarity, and physical distancing. Mental practice has been used as an alternative learning strategy in medicine for the development of technical skills. We developed educational materials with the aim of using mental practice to overcome these challenges and increase provider skill and confidence with the use of personal protective equipment. A mental practice script integrating cognitive, kinesthetic, and visual cues with a list of procedural steps was created and iteratively refined. To allow the use of this tool by providers unfamiliar with the principles of mental practice, accompanying explanatory materials were created and disseminated widely through the Free Open Access Medical education (FOAMed) community. By creating easily accessible resources to facilitate effective mental practice, providers may be able to increase their skill and comfort with the procedure while conserving personal protective equipment and respecting physical distancing guidelines.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".