Literature DB >> 31989069

The Equivalence of Video Self-review Versus Debriefing After Simulation: Can Faculty Resources Be Reallocated?

Gregory J Tudor1,2, Gregory S Podolej1,2,3, Ann Willemsen-Dunlap2,3, Vivian Lau1,2, Jessica D Svendsen3, Jeremy McGarvey3, John A Vozenilek1,3, Lisa T Barker1,3.   

Abstract

INTRODUCTION: Traditional simulation debriefing is both time- and resource-intensive. Shifting the degree of primary learning responsibility from the faculty to the learner through self-guided learning has received greater attention as a means of reducing this resource intensity. The aim of the study was to determine if video-assisted self-debriefing, as a form of self-guided learning, would have equivalent learning outcomes compared to standard debriefing.
METHODS: This randomized cohort study consisting of 49 PGY-1 to -3 emergency medicine residents compared performance after video self-assessment utilizing an observer checklist versus standard debriefing for simulated emergency department procedural sedation (EDPS). The primary outcome measure was performance on the second EDPS scenario.
RESULTS: Independent-samples t-test found that both control (standard debrief) and intervention (video self-assessment) groups demonstrated significantly increased scores on Scenario 2 (standard-t(40) = 2.20, p < 0.05; video-t(45) = 3.88, p < 0.05). There was a large and significant positive correlation between faculty and resident self-evaluation (r = 0.70, p < 0.05). There was no significant difference between faculty and residents self-assessment mean scores (t(24) = 1.90, p = 0.07).
CONCLUSIONS: Residents receiving feedback on their performance via video-assisted self-debriefing improved their performance in simulated EDPS to the same degree as with standard faculty debriefing. Video-assisted self-debriefing is a promising avenue for leveraging the benefits of simulation-based training with reduced resource requirements.
© 2019 by the Society for Academic Emergency Medicine.

Entities:  

Year:  2019        PMID: 31989069      PMCID: PMC6965677          DOI: 10.1002/aet2.10372

Source DB:  PubMed          Journal:  AEM Educ Train        ISSN: 2472-5390


  16 in total

Review 1.  A new concept of unsupervised learning: directed self-guided learning in the health professions.

Authors:  Ryan Brydges; Adam Dubrowski; Glenn Regehr
Journal:  Acad Med       Date:  2010-10       Impact factor: 6.893

Review 2.  Systematic review of nursing simulation literature for use of learning theory.

Authors:  Joanna Kaakinen; Ellyn Arwood
Journal:  Int J Nurs Educ Scholarsh       Date:  2009-05-07

Review 3.  The role of debriefing in simulation-based learning.

Authors:  Ruth M Fanning; David M Gaba
Journal:  Simul Healthc       Date:  2007       Impact factor: 1.929

4.  An Equivalence Trial Comparing Instructor-Regulated With Directed Self-Regulated Mastery Learning of Advanced Cardiac Life Support Skills.

Authors:  Luke A Devine; Jeroen Donkers; Ryan Brydges; Vsevolod Perelman; Rodrigo B Cavalcanti; S Barry Issenberg
Journal:  Simul Healthc       Date:  2015-08       Impact factor: 1.929

Review 5.  Self-regulated learning in simulation-based training: a systematic review and meta-analysis.

Authors:  Ryan Brydges; Julian Manzone; David Shanks; Rose Hatala; Stanley J Hamstra; Benjamin Zendejas; David A Cook
Journal:  Med Educ       Date:  2015-04       Impact factor: 6.251

Review 6.  Cost: the missing outcome in simulation-based medical education research: a systematic review.

Authors:  Benjamin Zendejas; Amy T Wang; Ryan Brydges; Stanley J Hamstra; David A Cook
Journal:  Surgery       Date:  2012-08-11       Impact factor: 3.982

Review 7.  Ketamine-Propofol Versus Propofol Alone for Procedural Sedation in the Emergency Department: A Systematic Review and Meta-analysis.

Authors:  Justin W Yan; Shelley L McLeod; Alla Iansavitchene
Journal:  Acad Emerg Med       Date:  2015-08-20       Impact factor: 3.451

Review 8.  More Than One Way to Debrief: A Critical Review of Healthcare Simulation Debriefing Methods.

Authors:  Taylor Sawyer; Walter Eppich; Marisa Brett-Fleegler; Vincent Grant; Adam Cheng
Journal:  Simul Healthc       Date:  2016-06       Impact factor: 1.929

9.  Adverse events and risk factors associated with the sedation of children by nonanesthesiologists.

Authors:  S Malviya; T Voepel-Lewis; A R Tait
Journal:  Anesth Analg       Date:  1997-12       Impact factor: 5.108

10.  Using videotaped benchmarks to improve the self-assessment ability of family practice residents.

Authors:  D Martin; G Regehr; B Hodges; N McNaughton
Journal:  Acad Med       Date:  1998-11       Impact factor: 6.893

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  1 in total

1.  Comparison of self versus expert-assisted feedback for cricothyroidotomy training: a randomized trial.

Authors:  Hasan Aldinc; Cem Gun; Serpil Yaylaci; Cigdem Ozkaya Senuren; Feray Guven; Melike Sahiner; Kamil Kayayurt; Suha Turkmen
Journal:  BMC Med Educ       Date:  2022-06-14       Impact factor: 3.263

  1 in total

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