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      Integrating simulation into surgical training: a qualitative case study of a national programme

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          Abstract

          Background

          Applying simulation-based education (SBE) into surgical curricula is challenging and exacerbated by the absence of guidance on implementation processes. Empirical studies evaluating implementation of SBE interventions focus primarily on outcomes. However, understanding the processes involved in organising, planning, and delivering SBE adds knowledge on how best to develop, implement, and sustain surgical SBE. This study used a reform of early years surgical training to explore the implementation of a new SBE programme in Scotland. It aimed to understand the processes that are involved in the relative success (or failure) when implementing surgical SBE interventions.

          Methods

          This qualitative case study, underpinned by social constructionism, used publicly available documents and the relevant surgical SBE literature to inform the research focus and contextualise data obtained from semi-structured interviews with core surgical trainees ( n = 46), consultant surgeons ( n = 25), and key leaders with roles in surgical training governance in Scotland ( n = 7). Initial data coding and analysis were inductive. Secondary data analysis was then undertaken using Normalisation Process Theory (NPT). NPTs’ four constructs (coherence, cognitive participation, collective action, reflexive monitoring) provided an explanatory framework for scrutinising how interventions are implemented, embedded, and integrated into practice, i.e. the “normalisation” process.

          Results

          Distributed leadership (individual SBE initiatives assigned to faculty but overall programme overseen by a single leader) and the quality improvement practise of iterative refinement were identified as key novel processes promoting successful normalisation of the new SBE programme. Other processes widely described in the literature were also identified: stakeholder collaboration, personal contacts/relational processes, effective communication, faculty development, effective leadership, and tight programme management. The study also identified that learners valued SBE activities in group- or team-based social environments over isolated deliberate practice.

          Conclusions

          SBE is most effective when designed as a comprehensive programme aligned to the curriculum. Programmes incorporating both group-based and isolated SBE activities promote deliberate practice. Distributed leadership amongst faculty attracts wide engagement integral to SBE programme implementation, while iterative programme refinement through regular evaluation and action on feedback encourages integration into practice. The knowledge contributed by critically analysing SBE programme implementation processes can support development of much needed guidance in this area.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s41077-023-00259-y.

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          Most cited references61

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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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            Implementing, Embedding, and Integrating Practices: An Outline of Normalization Process Theory

            C. May, T Finch (2009)
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              The qualitative research interview.

              Interviews are among the most familiar strategies for collecting qualitative data. The different qualitative interviewing strategies in common use emerged from diverse disciplinary perspectives resulting in a wide variation among interviewing approaches. Unlike the highly structured survey interviews and questionnaires used in epidemiology and most health services research, we examine less structured interview strategies in which the person interviewed is more a participant in meaning making than a conduit from which information is retrieved. In this article we briefly review the more common qualitative interview methods and then focus on the widely used individual face-to-face in-depth interview, which seeks to foster learning about individual experiences and perspectives on a given set of issues. We discuss methods for conducting in-depth interviews and consider relevant ethical issues with particular regard to the rights and protection of the participants.
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                Author and article information

                Contributors
                Kenneth.Walker@nhs.scot
                Journal
                Adv Simul (Lond)
                Adv Simul (Lond)
                Advances in Simulation
                BioMed Central (London )
                2059-0628
                18 August 2023
                18 August 2023
                2023
                : 8
                : 20
                Affiliations
                [1 ]GRID grid.7107.1, ISNI 0000 0004 1936 7291, Centre for Healthcare Education Research and Innovation (CHERI), , University of Aberdeen, ; Aberdeen, UK
                [2 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, Lee Kong Chian School of Medicine, , Nanyang Technological University, ; Singapore, Singapore
                [3 ]GRID grid.451102.3, ISNI 0000 0001 0164 4922, NHS Education for Scotland, Centre for Health Science, ; Old Perth Road, Inverness, IV2 3JH UK
                Author information
                http://orcid.org/0000-0002-4017-6516
                Article
                259
                10.1186/s41077-023-00259-y
                10436455
                37596692
                7f3f0724-2150-4738-bfb6-dbae1fd63631
                © Society in Europe for Simulation Applied to Medicine (SESAM) and BioMed Central Ltd. 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 22 March 2023
                : 31 July 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000692, Royal College of Surgeons of Edinburgh;
                Award ID: RG15026
                Award Recipient :
                Categories
                Research
                Custom metadata
                © Society in Europe for Simulation Applied to Medicine (SESAM) and BioMed Central Ltd. 2023

                simulation-based education,surgical training,programme evaluation,implementation science,qualitative research,case study,normalisation process theory

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