1. ZHAW digitalcollection
  2. School of Management and Law
  3. Publikationen
  4. Publikationen School of Management and Law
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSeelandt, Julia C-
dc.contributor.authorGrande, Bastian-
dc.contributor.authorKriech, Sarah-
dc.contributor.authorKolbe, Michaela-
dc.date.accessioned2018-09-27T13:01:17Z-
dc.date.available2018-09-27T13:01:17Z-
dc.date.issued2018-
dc.identifier.issn2056-6697de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/11161-
dc.description.abstractDebriefings 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.de_CH
dc.language.isoende_CH
dc.publisherBMJ Publishing Groupde_CH
dc.relation.ispartofBMJ Simulation & Technology Enhanced Learningde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc370: Bildung und Erziehungde_CH
dc.titleDE-CODE : a coding scheme for assessing debriefing interactionsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitWinterthurer Institut für Gesundheitsökonomie (WIG)de_CH
dc.identifier.doi10.1136/bmjstel-2017-000233de_CH
zhaw.funding.euNode_CH
zhaw.issue4de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end58de_CH
zhaw.pages.start51de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume2018de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen School of Management and Law

Files in This Item:
There are no files associated with this item.
Show simple item record
Seelandt, J. C., Grande, B., Kriech, S., & Kolbe, M. (2018). DE-CODE : a coding scheme for assessing debriefing interactions. BMJ Simulation & Technology Enhanced Learning, 2018(4), 51–58. https://doi.org/10.1136/bmjstel-2017-000233
Seelandt, J.C. et al. (2018) ‘DE-CODE : a coding scheme for assessing debriefing interactions’, BMJ Simulation & Technology Enhanced Learning, 2018(4), pp. 51–58. Available at: https://doi.org/10.1136/bmjstel-2017-000233.
J. C. Seelandt, B. Grande, S. Kriech, and M. Kolbe, “DE-CODE : a coding scheme for assessing debriefing interactions,” BMJ Simulation & Technology Enhanced Learning, vol. 2018, no. 4, pp. 51–58, 2018, doi: 10.1136/bmjstel-2017-000233.
SEELANDT, Julia C, Bastian GRANDE, Sarah KRIECH und Michaela KOLBE, 2018. DE-CODE : a coding scheme for assessing debriefing interactions. BMJ Simulation & Technology Enhanced Learning. 2018. Bd. 2018, Nr. 4, S. 51–58. DOI 10.1136/bmjstel-2017-000233
Seelandt, Julia C, Bastian Grande, Sarah Kriech, and Michaela Kolbe. 2018. “DE-CODE : A Coding Scheme for Assessing Debriefing Interactions.” BMJ Simulation & Technology Enhanced Learning 2018 (4): 51–58. https://doi.org/10.1136/bmjstel-2017-000233.
Seelandt, Julia C., et al. “DE-CODE : A Coding Scheme for Assessing Debriefing Interactions.” BMJ Simulation & Technology Enhanced Learning, vol. 2018, no. 4, 2018, pp. 51–58, https://doi.org/10.1136/bmjstel-2017-000233.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.