ADAPTing to participant distress: A protocol for applied improvisation in healthcare.

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Title: ADAPTing to participant distress: A protocol for applied improvisation in healthcare.
Authors: Whitney, Clare, Bojsza, Elizabeth, Besch, Shaun, Preis, Heidi, Zheng, Xia, Pati, Susmita
Source: Medical Education. Jul2025, Vol. 59 Issue 7, p750-756. 7p.
Subjects: Medical protocols, School environment, Psychological distress, Interprofessional relations, Research funding, Interviewing, Descriptive statistics, Psychological adaptation, Communication, Curriculum planning, Research methodology, Clinical education, Learning strategies, Quality assurance, Experiential learning
Geographic Terms: New York (State)
Abstract: Introduction: Applied improvisation (improv) is an emerging innovative approach to clinical education and requires the cultivation of a highly engaged learning environment. With highly interactive and engaging forms of learning, it is critical to address participant distress and psychological safety in an improv learning environment in order to prevent damage to the learning capacities of individual participants as well as the group as a whole. However, little is available to guide applied improv practitioners to navigate the socially complex dynamics of participant distress during an improv session. The purpose of this project was to develop a distress protocol, tailored for improvisation‐based interprofessional clinical communication training curricula, aiming to characterise, anticipate, prevent and address participant distress during sessions. Methods: Using an interpretive descriptive approach, we analysed qualitative data including previously collected interview data and primary field notes taken during improv simulations in order to develop the Addressing Distress in Applied Improvisation Participants Tool (ADAPT). Results: Analysis revealed two key distress manifestations (resistant distress and reactive distress) as well as three distress profiles (primary distress, secondary distal distress and secondary proximal distress) that may occur during an improv session. The ADAPT guides facilitators through four phases of attending to participant distress during applied improvisation sessions. These four phases include Redirecting the Spotlight, Responding to Distress, Reintegrating the Group and Reflecting on the Distress. Discussion: The ADAPT is the first of its kind as a general guide for addressing participant distress and can be customised and tailored to other applied improv curricula and experiential learning activities. Future inquiry should evaluate the utility and effectiveness of the ADAPT for responding to in situ participant distress in applied improv or other similar active learning environments. While highly interactive and engaging as a form of learning, using applied improvisation requires addressing participant distress and psychological safety. Here Ruczynski et al. offer the ADAPT protocol to explain how. [ABSTRACT FROM AUTHOR]
Copyright of Medical Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Introduction: Applied improvisation (improv) is an emerging innovative approach to clinical education and requires the cultivation of a highly engaged learning environment. With highly interactive and engaging forms of learning, it is critical to address participant distress and psychological safety in an improv learning environment in order to prevent damage to the learning capacities of individual participants as well as the group as a whole. However, little is available to guide applied improv practitioners to navigate the socially complex dynamics of participant distress during an improv session. The purpose of this project was to develop a distress protocol, tailored for improvisation‐based interprofessional clinical communication training curricula, aiming to characterise, anticipate, prevent and address participant distress during sessions. Methods: Using an interpretive descriptive approach, we analysed qualitative data including previously collected interview data and primary field notes taken during improv simulations in order to develop the Addressing Distress in Applied Improvisation Participants Tool (ADAPT). Results: Analysis revealed two key distress manifestations (resistant distress and reactive distress) as well as three distress profiles (primary distress, secondary distal distress and secondary proximal distress) that may occur during an improv session. The ADAPT guides facilitators through four phases of attending to participant distress during applied improvisation sessions. These four phases include Redirecting the Spotlight, Responding to Distress, Reintegrating the Group and Reflecting on the Distress. Discussion: The ADAPT is the first of its kind as a general guide for addressing participant distress and can be customised and tailored to other applied improv curricula and experiential learning activities. Future inquiry should evaluate the utility and effectiveness of the ADAPT for responding to in situ participant distress in applied improv or other similar active learning environments. While highly interactive and engaging as a form of learning, using applied improvisation requires addressing participant distress and psychological safety. Here Ruczynski et al. offer the ADAPT protocol to explain how. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/medu.15602
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