Cargando…
Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study
BACKGROUND: Debriefing is effective and inexpensive to increase learning benefits of participants in simulation-based medical education. However, suitable communication patterns during debriefings remain to be defined. This study aimed to explore interaction patterns during debriefings and to link t...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450386/ https://www.ncbi.nlm.nih.gov/pubmed/36068593 http://dx.doi.org/10.1186/s41077-022-00222-3 |
_version_ | 1784784511442092032 |
---|---|
author | Abegglen, Sandra Greif, Robert Balmer, Yves Znoj, Hans Joerg Nabecker, Sabine |
author_facet | Abegglen, Sandra Greif, Robert Balmer, Yves Znoj, Hans Joerg Nabecker, Sabine |
author_sort | Abegglen, Sandra |
collection | PubMed |
description | BACKGROUND: Debriefing is effective and inexpensive to increase learning benefits of participants in simulation-based medical education. However, suitable communication patterns during debriefings remain to be defined. This study aimed to explore interaction patterns during debriefings and to link these to participants’ satisfaction, perceived usefulness, and self-reported learning outcomes. METHODS: We assessed interaction patterns during debriefings of simulation sessions for residents, specialists, and nurses from the local anaesthesia department at the Bern University Hospital, Bern, Switzerland. Network analysis was applied to establish distinctive interaction pattern categories based on recorded interaction links. We used multilevel modelling to assess relationships between interaction patterns and self-reported learning outcomes. RESULTS: Out of 57 debriefings that involved 111 participants, discriminatory analyses revealed three distinctive interaction patterns: ‘fan’, ‘triangle’, and ‘net’. Participants reported significantly higher self-reported learning effects in debriefings with a net pattern, compared to debriefings with a fan pattern. No effects were observed for participant satisfaction, learning effects after 1 month, and perceived usefulness of simulation sessions. CONCLUSIONS: A learner-centred interaction pattern (i.e. net) was significantly associated with improved short-term self-reported individual learning and team learning. This supports good-practice debriefing guidelines, which stated that participants should have a high activity in debriefings, guided by debriefers, who facilitate discussions to maximize the development for the learners. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41077-022-00222-3. |
format | Online Article Text |
id | pubmed-9450386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94503862022-09-08 Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study Abegglen, Sandra Greif, Robert Balmer, Yves Znoj, Hans Joerg Nabecker, Sabine Adv Simul (Lond) Research BACKGROUND: Debriefing is effective and inexpensive to increase learning benefits of participants in simulation-based medical education. However, suitable communication patterns during debriefings remain to be defined. This study aimed to explore interaction patterns during debriefings and to link these to participants’ satisfaction, perceived usefulness, and self-reported learning outcomes. METHODS: We assessed interaction patterns during debriefings of simulation sessions for residents, specialists, and nurses from the local anaesthesia department at the Bern University Hospital, Bern, Switzerland. Network analysis was applied to establish distinctive interaction pattern categories based on recorded interaction links. We used multilevel modelling to assess relationships between interaction patterns and self-reported learning outcomes. RESULTS: Out of 57 debriefings that involved 111 participants, discriminatory analyses revealed three distinctive interaction patterns: ‘fan’, ‘triangle’, and ‘net’. Participants reported significantly higher self-reported learning effects in debriefings with a net pattern, compared to debriefings with a fan pattern. No effects were observed for participant satisfaction, learning effects after 1 month, and perceived usefulness of simulation sessions. CONCLUSIONS: A learner-centred interaction pattern (i.e. net) was significantly associated with improved short-term self-reported individual learning and team learning. This supports good-practice debriefing guidelines, which stated that participants should have a high activity in debriefings, guided by debriefers, who facilitate discussions to maximize the development for the learners. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41077-022-00222-3. BioMed Central 2022-09-06 /pmc/articles/PMC9450386/ /pubmed/36068593 http://dx.doi.org/10.1186/s41077-022-00222-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Abegglen, Sandra Greif, Robert Balmer, Yves Znoj, Hans Joerg Nabecker, Sabine Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
title | Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
title_full | Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
title_fullStr | Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
title_full_unstemmed | Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
title_short | Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
title_sort | debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450386/ https://www.ncbi.nlm.nih.gov/pubmed/36068593 http://dx.doi.org/10.1186/s41077-022-00222-3 |
work_keys_str_mv | AT abegglensandra debriefinginteractionpatternsandlearningoutcomesinsimulationanobservationalmixedmethodsnetworkstudy AT greifrobert debriefinginteractionpatternsandlearningoutcomesinsimulationanobservationalmixedmethodsnetworkstudy AT balmeryves debriefinginteractionpatternsandlearningoutcomesinsimulationanobservationalmixedmethodsnetworkstudy AT znojhansjoerg debriefinginteractionpatternsandlearningoutcomesinsimulationanobservationalmixedmethodsnetworkstudy AT nabeckersabine debriefinginteractionpatternsandlearningoutcomesinsimulationanobservationalmixedmethodsnetworkstudy |