Literature DB >> 20661007

In situ simulation comparing in-hospital first responder sudden cardiac arrest resuscitation using semiautomated defibrillators and automated external defibrillators.

Leo Kobayashi1, Jennifer A Dunbar-Viveiros, Bethany A Sheahan, Megan H Rezendes, Jeffrey Devine, Mary R Cooper, Peggy B Martin, Gregory D Jay.   

Abstract

INTRODUCTION: Multifaceted approaches using simulation and human factors methods may optimize in-hospital sudden cardiac arrest (SCA) response. The Arrhythmia Simulation/Cardiac Event Nursing Training-Automated External Defibrillator phase (ASCENT-AED) study used in situ medical simulation to compare traditional and AED-supplemented SCA first-responder models.
METHODS: The study was conducted at an academic 719-bed hospital with institutional review board approval. Two simulation scenarios were developed and featured either respiratory arrest with perfusing bradycardia or ventricular fibrillation (VF) arrest. Study floors were equipped with either a semiautomated defibrillator (SD) only (control) or with both SD and AED (experimental); subjects functioned as solitary first responders and did not receive resuscitation training.
RESULTS: Fifty nurses were enrolled on control (n=25) and experimental (n=25) floors. The groups' nonblinded performances exhibited the following differences during VF scenario: slower calls for help by the control group [mean time to completion of 25+/-17 seconds versus 18+/-11 seconds for the experimental group (P<0.05)] and fewer subjects in the control group performing chest compressions [44.0% versus experimental group's 95.8% (P<0.001)]. Eighty-eight percent of the control group defibrillated the manikin at an average of 155+/-59 seconds, with 32.0% of those subjects using semiautomated rhythm analysis; 100% (not significant [NS]) of experimental group defibrillated at 154+/-72 seconds (NS) with 100% AED analysis (P<0.001). Fewer control group subjects (28.0%) were observed during the bradycardia scenarios to perform inappropriate chest compressions than the AED-supplemented subjects [69.6% (P=0.01)]; nonindicated defibrillation was delivered during these scenarios by a single subject in the control group. Twenty-eight percent and 72% of VF scenarios were managed appropriately by control and experimental groups, respectively; bradycardia scenarios were managed without severe adverse event by 64% of control group and 28% of experimental group.
CONCLUSIONS: In situ simulation can provide useful information, both anticipated and unexpected, to guide decisions about proposed defibrillation technologies and SCA response models for in-hospital resuscitation system design and education before implementation.

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Year:  2010        PMID: 20661007     DOI: 10.1097/SIH.0b013e3181ccd75c

Source DB:  PubMed          Journal:  Simul Healthc        ISSN: 1559-2332            Impact factor:   1.929


  5 in total

Review 1.  GENESISS 1-Generating Standards for In-Situ Simulation project: a scoping review and conceptual model.

Authors:  Bryn Baxendale; Kerry Evans; Alison Cowley; Louise Bramley; Guilia Miles; Alastair Ross; Eleanore Dring; Joanne Cooper
Journal:  BMC Med Educ       Date:  2022-06-20       Impact factor: 3.263

2.  GENESISS 2-Generating Standards for In-Situ Simulation project: a systematic mapping review.

Authors:  Kerry Evans; Jenny Woodruff; Alison Cowley; Louise Bramley; Giulia Miles; Alastair Ross; Joanne Cooper; Bryn Baxendale
Journal:  BMC Med Educ       Date:  2022-07-11       Impact factor: 3.263

3.  Study protocol for a framework analysis using video review to identify latent safety threats: trauma resuscitation using in situ simulation team training (TRUST).

Authors:  Mark Fan; Andrew Petrosoniak; Sonia Pinkney; Christopher Hicks; Kari White; Ana Paula Siquiera Silva Almeida; Douglas Campbell; Melissa McGowan; Alice Gray; Patricia Trbovich
Journal:  BMJ Open       Date:  2016-11-07       Impact factor: 2.692

4.  Design of simulation-based medical education and advantages and disadvantages of in situ simulation versus off-site simulation.

Authors:  Jette Led Sørensen; Doris Østergaard; Vicki LeBlanc; Bent Ottesen; Lars Konge; Peter Dieckmann; Cees Van der Vleuten
Journal:  BMC Med Educ       Date:  2017-01-21       Impact factor: 2.463

5.  Using clinical simulation to study how to improve quality and safety in healthcare.

Authors:  Guillaume Lamé; Mary Dixon-Woods
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2018-09-29
  5 in total

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