Trial reportSimulation in healthcare : journal of the Society for Simulation in Healthcare2017
Simulation Training for Residents Focused on Mechanical Ventilation: A Randomized Trial Using Mannequin-Based Versus Computer-Based Simulation.
Trial report in Simulation in healthcare : journal of the Society for Simulation in Healthcare, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Electronic learning methods compared to traditional learning methods in anaesthesia education: a systematic review.BMC medical education · 2025Pooled it
- Effectiveness of Virtual Simulations Versus Mannequins and Real Persons in Medical and Nursing Education: Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2024Pooled it
- Techniques of cadaver perfusion for surgical training: a systematic review.Surgical and radiologic anatomy : SRA · 2018Pooled it
- High and low-fidelity simulation for respiratory diseases pediatric training: a prospective and randomized study.Jornal de pediatriaTrial
- Physiology-driven reversible dynamic synthetic tissue model for responsive moulage in infected wound training.PloS one · 2026Article
- Impact of a Competency-based Mechanical Ventilation Course Using Virtual Simulation.ATS scholar · 2025Article
- High-Fidelity Simulation Curriculum for Training Residents in Noninvasive Respiratory Support.ATS scholar · 2025Article
- Comparison of Web-Based and On-Site Lung Simulators for Education in Mechanical Ventilation.Respiratory care · 2024Article
- Clinical implementation of advanced respiratory monitoring with esophageal pressure and electrical impedance tomography: results from an international survey and focus group discussion.Intensive care medicine experimental · 2024Article
- Mechanical Ventilation Training Curriculum for Pulmonary Critical Care Fellows during the COVID-19 Pandemic.ATS scholar · 2023Article
- A Pilot Standardized Simulation-Based Mechanical Ventilation Curriculum Targeting Pulmonary and Critical Care Medicine and Critical Care Medicine Fellows.Avicenna journal of medicine · 2023Article
- Mixed-methods education of mechanical ventilation for residents in the era of the COVID-19 pandemic: Preliminary interventional study.PloS one · 2023Article
- Simulation-based Assessment to Measure Proficiency in Mechanical Ventilation among Residents.ATS scholar · 2022Article
- Cardiac surgical simulation program during general surgery residency increases resident physician exposure to cardiac surgery and technical expertise.JTCVS open · 2022Article
- Developing and Implementing Noninvasive Ventilator Training in Haiti during the COVID-19 Pandemic.ATS scholar · 2022Article
- Transparent decision support for mechanical ventilation using visualization of clinical preferences.Biomedical engineering online · 2022Article
- The Physiological Basis of High-Frequency Oscillatory Ventilation and Current Evidence in Adults and Children: A Narrative Review.Frontiers in physiology · 2022Review
- Open access spreadsheet application for learning spontaneous breathing mechanics and mechanical ventilation.Breathe (Sheffield, England) · 2021Article
- Using a breathing simulator to improve simulation-based education for noninvasive ventilation.Breathe (Sheffield, England) · 2021Article
- Scoring System to Evaluate the Performance of ICU Ventilators in the Pandemic of COVID-19: A Lung Model Study.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAdvances in knowledge regarding mechanical ventilation (MV), in particular lung-protective ventilation strategies, have been shown to reduce mortality. However, the translation of these advances in knowledge into better therapeutic performance in real-life clinical settings continues to lag. High-fidelity simulation with a mannequin allows students to interact in lifelike situations; this may be a valuable addition to traditional didactic teaching. The purpose of this study is to compare computer-based and mannequin-based approaches for training residents on MV.
methodsThis prospective randomized single-blind trial involved 50 residents. All participants attended the same didactic lecture on respiratory pathophysiology and were subsequently randomized into two groups: the mannequin group (n = 25) and the computer screen-based simulator group (n = 25). One week later, each underwent a training assessment using five different scenarios of acute respiratory failure of different etiologies. Later, both groups underwent further testing of patient management, using in situ high-fidelity simulation of a patient with acute respiratory distress syndrome.
resultsBaseline knowledge was not significantly different between the two groups (P = 0.72). Regarding the training assessment, no significant differences were detected between the groups. In the final assessment, the scores of only the mannequin group significantly improved between the training and final session in terms of either global rating score [3.0 (2.5-4.0) vs. 2.0 (2.0-3.0), P = 0.005] or percentage of key score (82% vs. 71%, P = 0.001).
conclusionsMannequin-based simulation has the potential to improve skills in managing MV.
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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.