Comparing the Learning Effectiveness of Healthcare Simulation in the Observer Versus Active Role: Systematic Review and Meta-Analysis
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
STATEMENT: The benefits of observation in simulation-based education in healthcare are increasingly recognized. However, how it compares with active participation remains unclear. We aimed to compare effectiveness of observation versus active participation through a systematic review and meta-analysis. Effectiveness was defined using Kirkpatrick's 4-level model, namely, participants' reactions, learning outcomes, behavior changes, and patient outcomes. The peer-reviewed search strategy included 8 major databases and gray literature. Only randomized controlled trials were included. A total of 13 trials were included (426 active participants and 374 observers). There was no significant difference in reactions (Kirkpatrick level 1) to training between groups, but active participants learned (Kirkpatrick level 2) significantly better than observers (standardized mean difference = -0.2, 95% confidence interval = -0.37 to -0.02, P = 0.03). Only one study reported behavior change (Kirkpatrick level 3) and found no significant difference. No studies reported effects on patient outcomes (Kirkpatrick level 4). Further research is needed to understand how to effectively integrate and leverage the benefits of observation in simulation-based education in healthcare.
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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 | 0.019 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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