Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: DE-CODE : a coding scheme for assessing debriefing interactions
Authors: Seelandt, Julia C
Grande, Bastian
Kriech, Sarah
Kolbe, Michaela
DOI: 10.1136/bmjstel-2017-000233
Published in: BMJ Simulation & Technology Enhanced Learning
Volume(Issue): 2018
Issue: 4
Page(s): 51
Pages to: 58
Issue Date: 2018
Publisher / Ed. Institution: BMJ Publishing Group
ISSN: 2056-6697
Language: English
Subject (DDC): 370: Education
Abstract: Debriefings are crucial for learning during simulationbased 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.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Management and Law
Organisational Unit: Winterthur Institute of Health Economics (WIG)
Appears in collections:Publikationen School of Management and Law

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