Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study

被引:8
作者
Abegglen, Sandra [1 ]
Greif, Robert [2 ,3 ]
Balmer, Yves [2 ]
Znoj, Hans Joerg [1 ]
Nabecker, Sabine [4 ]
机构
[1] Univ Bern, Dept Hlth Psychol & Behav Med, CH-3012 Bern, Switzerland
[2] Univ Bern, Bern Univ Hosp, Dept Anaesthesiol & Pain Med, Inselspital, Bern, Switzerland
[3] Sigmund Freud Univ Vienna, Sch Med, Vienna, Austria
[4] Univ Toronto, Dept Anaesthesiol & Pain Management, Sinai Hlth Syst, Toronto, ON, Canada
关键词
TECHNOLOGY-ENHANCED SIMULATION; CRISIS RESOURCE-MANAGEMENT; MEDICAL-EDUCATION; TEAM; MEETINGS;
D O I
10.1186/s41077-022-00222-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundDebriefing 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.MethodsWe 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.ResultsOut 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.ConclusionsA 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.
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页数:10
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共 43 条
  • [1] Validity of student self-reported ratings of learning
    Benton, Stephen L.
    Duchon, Dennis
    Pallett, William H.
    [J]. ASSESSMENT & EVALUATION IN HIGHER EDUCATION, 2013, 38 (04) : 377 - 388
  • [2] Communication content during debriefing in simulation-based medical education: An analytic framework and mixed-methods analysis
    Berger-Estilita, Joana
    Luethi, Valerie
    Greif, Robert
    Abegglen, Sandra
    [J]. MEDICAL TEACHER, 2021, : 1381 - 1390
  • [3] Boet S, 2014, CAN J ANESTH, V61, P571, DOI 10.1007/s12630-014-0143-8
  • [4] The analysis of participation in small groups - Methodological and conceptual issues related to interdependence
    Bonito, JA
    [J]. SMALL GROUP RESEARCH, 2002, 33 (04) : 412 - 438
  • [5] Measuring learning outcomes
    Caspersen, Joakim
    Smeby, Jens-Christian
    Aamodt, Per Olaf
    [J]. EUROPEAN JOURNAL OF EDUCATION, 2017, 52 (01) : 20 - 30
  • [6] Learner-Centered Debriefing for Health Care Simulation Education Lessons for Faculty Development
    Cheng, Adam
    Morse, Kate J.
    Rudolph, Jenny
    Arab, Abeer A.
    Runnacles, Jane
    Eppich, Walter
    [J]. SIMULATION IN HEALTHCARE-JOURNAL OF THE SOCIETY FOR SIMULATION IN HEALTHCARE, 2016, 11 (01): : 32 - 40
  • [7] Technology-Enhanced Simulation and Pediatric Education: A Meta-analysis
    Cheng, Adam
    Lang, Tara R.
    Starr, Stephanie R.
    Pusic, Martin
    Cook, David A.
    [J]. PEDIATRICS, 2014, 133 (05) : E1313 - E1323
  • [8] Technology-Enhanced Simulation for Health Professions Education A Systematic Review and Meta-analysis
    Cook, David A.
    Hatala, Rose
    Brydges, Ryan
    Zendejas, Benjamin
    Szostek, Jason H.
    Wang, Amy T.
    Erwin, Patricia J.
    Hamstra, Stanley J.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2011, 306 (09): : 978 - 988
  • [9] Csardi G., 2006, INT J COMPLEX SYST, V1695, DOI DOI 10.3724/SP.J.1087.2009.02191
  • [10] De Rosario-Martinez H., phia: Post-Hoc Interaction Analysis. R package version 0.2-1