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      Elucidating cognitive processes in cardiac arrest team leaders: a virtual reality-based cued-recall study of experts and novices

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          Abstract

          Background

          Team leadership during medical emergencies like cardiac arrest resuscitation is cognitively demanding, especially for trainees. These cognitive processes remain poorly characterized due to measurement challenges. Using virtual reality simulation, this study aimed to elucidate and compare communication and cognitive processes-such as decision-making, cognitive load, perceived pitfalls, and strategies-between expert and novice code team leaders to inform strategies for accelerating proficiency development.

          Methods

          A simulation-based mixed methods approach was utilized within a single large academic medical center, involving twelve standardized virtual reality cardiac arrest simulations. These 10- to 15-minutes simulation sessions were performed by seven experts and five novices. Following the simulations, a cognitive task analysis was conducted using a cued-recall protocol to identify the challenges, decision-making processes, and cognitive load experienced across the seven stages of each simulation.

          Results

          The analysis revealed 250 unique cognitive processes. In terms of reasoning patterns, experts used inductive reasoning, while novices tended to use deductive reasoning, considering treatments before assessments. Experts also demonstrated earlier consideration of potential reversible causes of cardiac arrest. Regarding team communication, experts reported more critical communications, with no shared subthemes between groups. Experts identified more teamwork pitfalls, and suggested more strategies compared to novices. For cognitive load, experts reported lower median cognitive load (53) compared to novices (80) across all stages, with the exception of the initial presentation phase.

          Conclusions

          The identified patterns of expert performance — superior teamwork skills, inductive clinical reasoning, and distributed cognitive strategiesn — can inform training programs aimed at accelerating expertise development.

          KEY MESSAGES

          1. Novel combination of virtual reality simulation and cognitive task analysis provides a promising educational tool for identifying and addressing gaps in resuscitation team leadership skills, offering a valuable approach to competency-based medical education in critical care scenarios.

          2. The consistently high cognitive load reported by team leaders, regardless of experience level, suggests a need for guidance on strategies to better distribute cognitive demands among team members during cardiac arrest resuscitations.

          3. Experts demonstrate more advanced teamwork skills, inductive reasoning, and distributed cognition during cardiac arrest management, highlighting areas for focused skill development in novice leaders.

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          Most cited references88

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          Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

          Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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            Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care

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              Nasa-Task Load Index (NASA-TLX); 20 Years Later

              S. G. Hart (2006)
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                Author and article information

                Journal
                Ann Med
                Ann Med
                Annals of Medicine
                Taylor & Francis
                0785-3890
                1365-2060
                3 March 2025
                2025
                3 March 2025
                : 57
                : 1
                : 2470976
                Affiliations
                [a ]Department of Learning Health Sciences, University of Michigan Medical School , Ann Arbor, MI, USA
                [b ]School of Information, University of Michigan , Ann Arbor, MI, USA
                [c ]Electrical Engineering and Computer Science Department, University of Michigan , Ann Arbor, MI, USA
                [d ]Department of Family Medicine, University of Michigan , Ann Arbor, MI, USA
                [e ]Department of Emergency Medicine, University of Michigan , Ann Arbor, MI, USA
                Author notes

                Supplemental data for this article can be accessed online at https://doi.org/10.1080/07853890.2025.2470976.

                CONTACT Vitaliy Popov vipopov@ 123456umich.edu Department of Learning Health Sciences, School of Information, University of Michigan Medical School, University of Michigan , Victor Vaughan, 217, 1111 Catherine St., Ann Arbor, MI 48109, USA.
                Author information
                https://orcid.org/0000-0003-2348-5285
                Article
                2470976
                10.1080/07853890.2025.2470976
                11878170
                40028867
                0ad7df59-1fbb-4d4e-8f16-c32f2bc8f9d2
                © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 5, Tables: 1, Pages: 20, Words: 12929
                Categories
                Research Article
                Medical Education

                Medicine
                cognitive load,clinical simulation,virtual reality,medical education,emergency medicine
                Medicine
                cognitive load, clinical simulation, virtual reality, medical education, emergency medicine

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