Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26137
Appears in Collections:Faculty of Social Sciences Journal Articles
Peer Review Status: Refereed
Title: Learning to manage complexity through simulation: students' challenges and possible strategies
Author(s): Gormley, Gerard J
Fenwick, Tara
Keywords: Complexity
Simulation
Medical students
Issue Date: Jun-2016
Date Deposited: 15-Nov-2017
Citation: Gormley GJ & Fenwick T (2016) Learning to manage complexity through simulation: students' challenges and possible strategies. Perspectives on Medical Education, 5 (3), pp. 138-146. https://doi.org/10.1007/s40037-016-0275-3
Abstract: Many have called for medical students to learn how to manage complexity in healthcare. This study examines the nuances of students’ challenges in coping with a complex simulation learning activity, using concepts from complexity theory, and suggests strategies to help them better understand and manage complexity.  Wearing video glasses, participants took part in asimulation ward-based exercise that incorporated characteristics of complexity. Video footage was used to elicit interviews, which were transcribed. Using complexity theory as atheoretical lens, an iterative approach was taken to identify the challenges that participants faced and possible coping strategies using both interview transcripts and video footage.  Students’ challenges in coping with clinical complexity included being: a)unprepared for ‘diving in’, b)caught in an escalating system, c)captured by the patient, and d)unable to assert boundaries of acceptable practice.  Many characteristics of complexity can be recreated in award-based simulation learning activity, affording learners an embodied and immersive experience of these complexity challenges. Possible strategies for managing complexity themes include: a)taking time to size up the system, b)attuning to what emerges, c)reducing complexity, d)boundary practices, and e)working with uncertainty. This study signals pedagogical opportunities for recognizing and dealing with complexity.
DOI Link: 10.1007/s40037-016-0275-3
Rights: © The Author(s) 2016 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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