In situ simulation for cardiopulmonary resuscitation training: A systematic review
Bibliographic record
Abstract
Objectives: To evaluate the effectiveness of in situ simulation for cardiopulmonary resuscitation (CPR) training on clinical and educational outcomes. Methods: Randomised controlled trials (RCT) and non-randomised studies evaluating in situ simulation for cardiopulmonary resuscitation CPR training of healthcare workers in any setting compared to traditional training and reporting data on patients' survival, patients' outcomes, clinical performance and teamwork in actual or simulated resuscitation and resources needed were included. PubMed, Embase and Cochrane were searches from inception to October 28th 2024 (PROSPERO CRD42024521780). The assessment of risk of bias was done using RoB2 or ROBINS-I and the certainty of evidence was assessed by the GRADE approach. Meta-analysis was not possible due to significant heterogeneity in setting, interventions, control, and outcome definitions. The evidence was summarised according to the Synthesis Without Meta-Analysis (SwiM) reporting guidelines. No funding has been obtained. Results: From 1062 records, 10 articles were included after full-text review (4 RCTs, 6 non-randomised). The risk of bias was judged as high or some concerns for RCTs and critical or serious for non-randomised studies. The certainty of evidence was very low for all the evaluated outcomes mainly due to risk of bias, inconsistency and imprecision. Two non-randomised studies reported data on patient survival, while two other non-randomized studies provided data on the review outcome of 'patient outcomes', suggesting a potential benefit of in situ simulation or no difference. Four non-randomised studies reported improving or no difference in clinical performance in actual resuscitation. One study reported improved teamwork in actual resuscitation while another reported no difference. Most included studies reported improved clinical performance, teamwork and CPR skill in simulated resuscitation after in situ simulation training vs. traditional training. No study evaluated the resources needed. Conclusion: The heterogenous evidence suggests that in situ simulation should be considered as an option for CPR training. The certainty of evidence is very low and cost-benefit balance is uncertain due to lack of data about resource needed.
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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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.010 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".