Evidence map›Paper›PMID 32832101›Full record

ArticleBMJ simulation & technology enhanced learning2020

Eye-opening facilitator behaviours: an Interaction Analysis of facilitator behaviours that advance debriefings.

Klas Karlgren, Fredrik Larsson, Anders Dahlström

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Article in BMJ simulation & technology enhanced learning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Klas KarlgrenDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1255-7650
Fredrik LarssonDepartment of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.
Anders DahlströmDepartment of Research, Education, Development, and Innovation, The Södersjukhuset Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAnalyses of simulation performance taking place during postsimulation debriefings have been described as iterating through phases of unawareness of problems, identifying problems, explaining the problems and suggesting alternative strategies or solutions to manage the problems. However, little is known about the mechanisms that contribute to shifting from one such phase to the subsequent one. The aim was to study which kinds of facilitator interactions contribute to advancing the participants' analyses during video-assisted postsimulation debriefing.

methodsSuccessful facilitator behaviours were analysed by performing an Interaction-Analytic case study, a method for video analysis with roots in ethnography. Video data were collected from simulation courses involving medical and midwifery students facilitated by highly experienced facilitators (6-18 years, two paediatricians and one midwife) and analysed using the Transana software. A total of 110 successful facilitator interventions were observed in four video-assisted debriefings and 94 of these were included in the analysis. As a starting point, the participants' discussions were first analysed using the phases of a previously described framework, uPEA (unawareness (u), problem identification (P), explanation (E) and alternative strategies/solutions (A)). Facilitator interventions immediately preceding each shift from one phase to the next were thereafter scrutinised in detail.

resultsFifteen recurring facilitator behaviours preceding successful shifts to higher uPEA levels were identified. While there was some overlap, most of the identified facilitator interventions were observed during specific phases of the debriefings. The most salient facilitator interventions preceding shifts to subsequent uPEA levels were respectively: use of video recordings to draw attention to problems (P), questions about opinions and rationales to encourage explanations (E) and dramatising hypothetical scenarios to encourage alternative strategies (A).

conclusionsThis study contributes to the understanding of how certain facilitator behaviours can contribute to the participants' analyses of simulation performance during specific phases of video-assisted debriefing.

Indexed as

debriefingInteraction Analysisvideo-assisted feedback

Identifiers

PMID32832101
PMCPMC7410112

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