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Research Studies is a compilation of published research articles funded by 大象视频or authored by 大象视频researchers.

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1 to 6 of 6 Research Studies Displayed
Murray DJ, Boyle WA, Beyatte MB
Decision-making skills improve with critical care training: using simulation to measure progress.
Health care professionals are expected to acquire decision-making skills during their training, but few methods are available to assess progress in acquiring these essential skills. The purpose of this study was to determine whether a simulation methodology could be used to assess whether decision-making skills improve during critical care training. The investigators indicate that their findings provide evidence to support the validity of a simulation-based method to assess progress in decision-making skills.
AHRQ-funded; HS022265.
Citation: Murray DJ, Boyle WA, Beyatte MB . Decision-making skills improve with critical care training: using simulation to measure progress. J Crit Care 2018 Oct;47:133-38. doi: 10.1016/j.jcrc.2018.06.021..
Keywords: Critical Care, Education: Continuing Medical Education, Shared Decision Making, Simulation, Teams, Training
Barsuk JH, Cohen ER, Williams MV
Simulation-based mastery learning for thoracentesis skills improves patient outcomes: a randomized trial.
Physicians-in-training often perform bedside thoracenteses in academic medical centers, and complications are more common among less experienced clinicians. Simulation-based mastery learning (SBML) is one potential solution to this problem. This study evaluated the effects of a randomized trial of thoracentesis SBML on patient complications: iatrogenic pneumothorax, hemothorax, and reexpansion pulmonary edema.
AHRQ-funded; HS021202.
Citation: Barsuk JH, Cohen ER, Williams MV . Simulation-based mastery learning for thoracentesis skills improves patient outcomes: a randomized trial. Acad Med 2018 May;93(5):729-35. doi: 10.1097/acm.0000000000001965..
Keywords: Education: Continuing Medical Education, Patient Safety, Provider, Provider: Physician, Simulation, Training
Rosenman ED, Dixon AJ, Webb JM
A simulation-based approach to measuring team situational awareness in emergency medicine: a multicenter, observational study.
This study鈥檚 goal was to develop and evaluate a novel approach to the measurement of team situational awareness (TSA) in interprofessional emergency medicine (EM) teams. EM teams, consisting of resident physicians, nurses, and medical students, were recruited from the University of Washington and Wayne State University; each team completed a simulated emergency resuscitation scenario, then completed three measures: a TSA measure, a team perception of shared understanding measure, and a team leader effectiveness measure. The simulations were recorded and coded independently for team performance by using a previously validated measure. Relationships between the TSA measure and other variables were explored. The authors conclude that simulations can provide a platform for TSA research and that their study provides a feasible method for simulation-based assessment of TSA.
AHRQ-funded; HS020295; HS022458.
Citation: Rosenman ED, Dixon AJ, Webb JM . A simulation-based approach to measuring team situational awareness in emergency medicine: a multicenter, observational study. Acad Emerg Med 2018 Feb;25(2):196-204. doi: 10.1111/acem.13257..
Keywords: Shared Decision Making, Emergency Department, Simulation, Teams
Rosenman ED, Fernandez R, Wong AH
Changing systems through effective teams: a role for simulation.
The objectives of this research were to explore the antecedents and processes that support team effectiveness, to summarize the role of simulation in the development and understanding team effectiveness, and to identify research targets that further the improvement of team-based training and assessment; the ultimate goal was the improvement of healthcare systems. The authors explore the foundations of team effectiveness, with a focus on team affect and team cognition. They also discuss advanced team processes that build on these foundations. The role of simulation鈥恇ased training in targeting these constructs and identifying resources from the team science literature is highlighted. The collaboration between educators and researchers from emergency medicine and the team sciences is emphasized, as is the importance of using a translational science approach to evaluate simulation鈥恇ased team training and elucidate the relationship between training and systems鈥恖evel outcomes.
AHRQ-funded; HS024820.
Citation: Rosenman ED, Fernandez R, Wong AH . Changing systems through effective teams: a role for simulation. Acad Emerg Med 2018 Feb;25(2):128-43. doi: 10.1111/acem.13260.
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Keywords: Emergency Department, Healthcare Delivery, Simulation, Teams
Bond WF, Hui J, Fernandez R
The 2017 Academic Emergency Medicine Consensus Conference: Catalyzing System Change Through Healthcare Simulation: Systems, Competency, and Outcomes.
The Academic Emergency Medicine (AEM) Consensus Conference "Catalyzing System Change Through Healthcare Simulation: Systems, Competency, and Outcome" was conceived to foster discussion among experts in EM, engineering, and social sciences, focusing on key barriers and opportunities in simulation-based research. This executive summary describes the overall rationale for the conference, conference planning, and consensus-building approaches and outlines the focus of the eight breakout sessions.
AHRQ-funded; HS024820.
Citation: Bond WF, Hui J, Fernandez R . The 2017 Academic Emergency Medicine Consensus Conference: Catalyzing System Change Through Healthcare Simulation: Systems, Competency, and Outcomes. Acad Emerg Med 2018 Feb;25(2):109-15. doi: 10.1111/acem.13302..
Keywords: Emergency Department, Healthcare Delivery, Health Services Research (HSR), Simulation
Laker LF, Torabi E, France DJ
Understanding emergency care delivery through computer simulation modeling.
This article is a product of a breakout session from the 2017 Academic Emergency Medicine conference entitled 鈥淐atalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes.鈥 This article explores the role that computer simulation modeling can and should play in developing emergency room care delivery systems. The four approaches to computer simulation modeling were described and each of their benefits and risks. An introduction to available software modeling platforms and how to determine the best one for the readers situation is also included.
AHRQ-funded; HS021749.
Citation: Laker LF, Torabi E, France DJ . Understanding emergency care delivery through computer simulation modeling. Acad Emerg Med 2018 Feb;25(2):116-27. doi: 10.1111/acem.13272..
Keywords: Emergency Department, Healthcare Delivery, Simulation, Health Services Research (HSR)

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