ArticleJournal of the American College of Emergency Physicians open2022
Randomized controlled trial comparing pit crew resuscitation model against standard advanced life support training.
Article in Journal of the American College of Emergency Physicians open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- 2025 Korean Guidelines for Cardiopulmonary Resuscitation: Part 10. Education and system implementation for enhanced chain of survival.Clinical and experimental emergency medicine · 2026Guideline
- Remote Augmented Reality Versus Traditional Simulation for Team Leader Assessment in a Cardiac Arrest Scenario: Noninferiority Randomized Controlled Trial.JMIR medical education · 2026Trial
- Structured Evaluation and Treatment of cardiac arrest via the ABCDE approach (SETA) - Rethinking high-performance CPR and cause-finding during Advanced Life Support.Resuscitation plus · 2026Article
- Developing a learning tool for advanced life support and resuscitation: Performance Reflection Model for Resuscitation (PRM-Resus).BMC medical education · 2025Article
- Teaching team competencies within resuscitation training: A systematic review.Resuscitation plus · 2024Review
- Reviving Hope: A Comprehensive Review of Post-resuscitation Care in Pediatric ICUs After Cardiac Arrest.Cureus · 2023Review
- Randomized controlled trial comparing pit crew resuscitation model against standard advanced life support training.Journal of the American College of Emergency Physicians open · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Pit crew models are designed to improve teamwork in critical medical situations, like advanced life support (ALS). We investigated if a pit crew model training improves performance assessment and ALS skills retention when compared to standard ALS education. Methods: This was a prospective, blinded, randomized, and controlled, parallel-group trial. We recruited students to 4-person resuscitation teams. We video recorded simulated ALS-situations after the ALS education and after 6-month follow-up. We analyzed technical skills (TS) and non-technical skills (NTS) demonstrated in them with an instrument measuring TS and NTS, and used a linear mixed model to model the difference between the groups in the TS and NTS. Another linear model was used to explore the difference between the groups in hands-on ratio and hands-free time. The difference in the total assessment score was analyzed with the Mann-Whitney U-test. The primary outcome was the difference in the total assessment score between the groups at follow-up. ALS skills were considered to be a secondary outcome. Results: Twenty-six teams underwent randomization. Twenty-two teams received the allocated education. Fifteen teams were evaluated at 6-month follow-up: 7 in the intervention group and 8 in the control group. At 6-month follow-up, the median (Q Conclusion: We found no difference in overall performance between the study arms. However, trends indicate that the pit crew model may help to retain ALS skills in different areas like chest compression quality.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.