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      Learner-Centered Debriefing for Health Care Simulation Education : Lessons for Faculty Development

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          Abstract

          Better debriefing practices may enhance the impact of simulation-based education. Emerging literature suggests that learner-centered debriefing may be effective in helping instructors identify and address learner needs while building learner's engagement and sense of responsibility for learning. This contrasts with instructor-centered approaches to debriefing, where instructors maintain unilateral control over both the process and content of the debriefing, thus limiting input and direction from learners. Although different approaches to debriefing for simulation-based education exist, the simulation literature is largely mute on the topic of learner-centered debriefing. In this article we will (1) compare and contrast learner- versus instructor-centered approaches to teaching; (2) provide a rationale for applying more learner-centered approaches to debriefing; (3) introduce a conceptual framework that highlights the key dimensions of learner- versus instructor-centered debriefing; (4) describe key variables to consider when managing the balance between learner- and instructor-centered debriefing; and (5) describe practical learner-centered strategies for various phases of debriefing.

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          Most cited references41

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          Psychological Safety and Learning Behavior in Work Teams

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            Technology-enhanced simulation for health professions education: a systematic review and meta-analysis.

            Although technology-enhanced simulation has widespread appeal, its effectiveness remains uncertain. A comprehensive synthesis of evidence may inform the use of simulation in health professions education. To summarize the outcomes of technology-enhanced simulation training for health professions learners in comparison with no intervention. Systematic search of MEDLINE, EMBASE, CINAHL, ERIC, PsychINFO, Scopus, key journals, and previous review bibliographies through May 2011. Original research in any language evaluating simulation compared with no intervention for training practicing and student physicians, nurses, dentists, and other health care professionals. Reviewers working in duplicate evaluated quality and abstracted information on learners, instructional design (curricular integration, distributing training over multiple days, feedback, mastery learning, and repetitive practice), and outcomes. We coded skills (performance in a test setting) separately for time, process, and product measures, and similarly classified patient care behaviors. From a pool of 10,903 articles, we identified 609 eligible studies enrolling 35,226 trainees. Of these, 137 were randomized studies, 67 were nonrandomized studies with 2 or more groups, and 405 used a single-group pretest-posttest design. We pooled effect sizes using random effects. Heterogeneity was large (I(2)>50%) in all main analyses. In comparison with no intervention, pooled effect sizes were 1.20 (95% CI, 1.04-1.35) for knowledge outcomes (n = 118 studies), 1.14 (95% CI, 1.03-1.25) for time skills (n = 210), 1.09 (95% CI, 1.03-1.16) for process skills (n = 426), 1.18 (95% CI, 0.98-1.37) for product skills (n = 54), 0.79 (95% CI, 0.47-1.10) for time behaviors (n = 20), 0.81 (95% CI, 0.66-0.96) for other behaviors (n = 50), and 0.50 (95% CI, 0.34-0.66) for direct effects on patients (n = 32). Subgroup analyses revealed no consistent statistically significant interactions between simulation training and instructional design features or study quality. In comparison with no intervention, technology-enhanced simulation training in health professions education is consistently associated with large effects for outcomes of knowledge, skills, and behaviors and moderate effects for patient-related outcomes.
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              A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts.

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                Author and article information

                Journal
                Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare
                Ovid Technologies (Wolters Kluwer Health)
                1559-2332
                2016
                February 2016
                : 11
                : 1
                : 32-40
                Article
                10.1097/SIH.0000000000000136
                26836466
                9c75098b-4147-438d-91ec-a93d1275c987
                © 2016
                History

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