Literature DB >> 35515884

DE-CODE: a coding scheme for assessing debriefing interactions.

Julia C Seelandt1,2, Bastian Grande2,3, Sarah Kriech2, Michaela Kolbe2,4.   

Abstract

Debriefings are crucial for learning during simulation-based training (SBT). Although the quality of debriefings is very important for SBT, few studies have examined actual debriefing conversations. Investigating debriefing conversations is important for identifying typical debriefer-learner interaction patterns, obtaining insights into associations between debriefers' communication and learners' reflection and comparing different debriefing approaches. We aim at contributing to the science of debriefings by developing DE-CODE, a valid and reliable coding scheme for assessing debriefers' and learners' communication in debriefings. It is applicable for both direct, on-site observations and video-based coding.
Methods: The coding scheme was developed both deductively and inductively from literature on team learning and debriefing and observing debriefings during SBT, respectively. Inter-rater reliability was calculated using Cohen's kappa. DE-CODE was tested for both live and video-based coding.
Results: DE-CODE consists of 32 codes for debriefers' communication and 15 codes for learners' communication. For live coding, coders achieved good inter-rater reliabilities with the exception of four codes for debriefers' communication and two codes for learners' communication. For video-based coding, coders achieved substantial inter-rater reliabilities with the exception of five codes for debriefers' communication and three codes for learners' communication.
Conclusion: DE-CODE is designed as micro-level measurement tool for coding debriefing conversations applicable to any debriefing of SBT in any field (except for the code medical input). It is reliable for direct, on-site observations as well as for video-based coding. DE-CODE is intended to allow for obtaining insights into what works and what does not work during debriefings and contribute to the science of debriefing. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  coding scheme; communication; debriefings; interactions.; simulation based-training

Year:  2018        PMID: 35515884      PMCID: PMC8990183          DOI: 10.1136/bmjstel-2017-000233

Source DB:  PubMed          Journal:  BMJ Simul Technol Enhanc Learn        ISSN: 2056-6697


  44 in total

1.  Managing nonroutine events in anesthesia: the role of adaptive coordination.

Authors:  Michael J Burtscher; Johannes Wacker; Gudela Grote; Tanja Manser
Journal:  Hum Factors       Date:  2010-04       Impact factor: 2.888

2.  Adaptation in anaesthesia team coordination in response to a simulated critical event and its relationship to clinical performance.

Authors:  M J Burtscher; T Manser; M Kolbe; G Grote; B Grande; D R Spahn; J Wacker
Journal:  Br J Anaesth       Date:  2011-03-23       Impact factor: 9.166

3.  The benefits of flexible team interaction during crises.

Authors:  Alicia A Stachowski; Seth A Kaplan; Mary J Waller
Journal:  J Appl Psychol       Date:  2009-11

4.  Promoting Excellence and Reflective Learning in Simulation (PEARLS): development and rationale for a blended approach to health care simulation debriefing.

Authors:  Walter Eppich; Adam Cheng
Journal:  Simul Healthc       Date:  2015-04       Impact factor: 1.929

5.  Debriefing assessment for simulation in healthcare: development and psychometric properties.

Authors:  Marisa Brett-Fleegler; Jenny Rudolph; Walter Eppich; Michael Monuteaux; Eric Fleegler; Adam Cheng; Robert Simon
Journal:  Simul Healthc       Date:  2012-10       Impact factor: 1.929

6.  TeamGAINS: a tool for structured debriefings for simulation-based team trainings.

Authors:  Michaela Kolbe; Mona Weiss; Gudela Grote; Axel Knauth; Micha Dambach; Donat R Spahn; Bastian Grande
Journal:  BMJ Qual Saf       Date:  2013-03-22       Impact factor: 7.035

7.  Co-ACT--a framework for observing coordination behaviour in acute care teams.

Authors:  Michaela Kolbe; Michael Josef Burtscher; Tanja Manser
Journal:  BMJ Qual Saf       Date:  2013-03-19       Impact factor: 7.035

Review 8.  Debriefing for technology-enhanced simulation: a systematic review and meta-analysis.

Authors:  Adam Cheng; Walter Eppich; Vincent Grant; Jonathan Sherbino; Benjamin Zendejas; David A Cook
Journal:  Med Educ       Date:  2014-07       Impact factor: 6.251

9.  Observer agreement for timed-event sequential data: a comparison of time-based and event-based algorithms.

Authors:  Roger Bakeman; Vicenç Quera; Augusto Gnisci
Journal:  Behav Res Methods       Date:  2009-02

10.  How to debrief teamwork interactions: using circular questions to explore and change team interaction patterns.

Authors:  Michaela Kolbe; Adrian Marty; Julia Seelandt; Bastian Grande
Journal:  Adv Simul (Lond)       Date:  2016-11-15
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