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      Optimising frontline learning and engagement between consultant-led neonatal teams in the West Midlands: a survey on the utility of an augmented simulation training technique

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          Abstract

          Background

          In England, neonatal care is delivered in operational delivery networks, comprising a combination of the Neonatal Intensive Care (NICU), Local-Neonatal (LNU) or Special-Care Units (SCU), based on their ability to care for babies with different degrees of illness or prematurity. With the development of network care pathways, the most premature and sickest are mostly triaged for delivery in services linked to NICU . This has created anxiety for teams in LNU and SCU. Less exposure to sicker babies has resulted in limited opportunities to maintain expertise for when these babies unexpectedly deliver at their centre and thereafter require transfer for care, to NICU. Simultaneously, LNU and SCU teams develop skills in the care of the less ill and premature baby which would also be of benefit to NICU teams. A need for mutual learning through inter-unit multidirectional collaborative learning and engagement (hereafter also called neonatal networking) between teams of different designations emerged. Here, neonatal networking is defined as collaboration, shared clinical learning and developing an understanding of local systems strengths and challenges between units of different and similar designations. We describe the responses to the development of a clinical and systems focussed platform for this engagement between different teams within our neonatal ODN.

          Method

          An interactive 1-day programme was developed in the West Midlands, focussing on a non-hierarchical, equal partnership between neonatal teams from different unit designations. It utilised simulation around clinical scenarios, with a slant towards consultant engagement. Four groups rotating through four clinical simulation scenarios were developed. Each group participated in a clinical simulation scenario, led by a consultant and supported by nurses and doctors in training together with facilitators, with a further ~two consultants, as observers within the group. All were considered learners. Consultant candidates took turns to be participants and observers in the simulation scenarios so that at the end of the day all had led a scenario. Each simulation-clinical debrief session was lengthened by a further ~ 20 min, during which freestyle discussion with all learners occurred. This was to promote further bonding, through multidirectional sharing, and with a systems focus on understanding the strengths and challenges of practices in different units. A consultant focus was adopted to promote a long-term engagement between units around shared care. There were four time points for this neonatal networking during the course of the day. Qualitative assessment and a Likert scale were used to assess this initiative over 4 years.

          Results

          One hundred fifty-five individuals involved in frontline neonatal care participated. Seventy-seven were consultants, supported by neonatal trainees, staff grade doctors, clinical fellows, advanced neonatal nurse practitioners and nurses in training. All were invited to participate in the survey. The survey response rate was 80.6%. Seventy-nine percent felt that this learning strategy was highly relevant; 96% agreed that for consultants this was appropriate adult learning. Ninety-eight percent agreed that consultant training encompassed more than bedside clinical management, including forging communication links between teams. Thematic responses suggested that this was a highly useful method for multi-directional learning around shared care between neonatal units.

          Conclusion

          Simulation, enhanced with systems focussed debrief, appeared to be an acceptable method of promoting multidirectional learning within neonatal teams of differing designations within the WMNODN.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s41077-021-00181-1.

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          Most cited references9

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          Promoting Excellence and Reflective Learning in Simulation (PEARLS): development and rationale for a blended approach to health care simulation debriefing.

          We describe an integrated conceptual framework for a blended approach to debriefing called PEARLS [Promoting Excellence And Reflective Learning in Simulation]. We provide a rationale for scripted debriefing and introduce a PEARLS debriefing tool designed to facilitate implementation of the new framework. The PEARLS framework integrates 3 common educational strategies used during debriefing, namely, (1) learner self-assessment, (2) facilitating focused discussion, and (3) providing information in the form of directive feedback and/or teaching. The PEARLS debriefing tool incorporates scripted language to guide the debriefing, depending on the strategy chosen. The PEARLS framework and debriefing script fill a need for many health care educators learning to facilitate debriefings in simulation-based education. The PEARLS offers a structured framework adaptable for debriefing simulations with a variety in goals, including clinical decision making, improving technical skills, teamwork training, and interprofessional collaboration.
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            Translational simulation: not ‘where?’ but ‘why?’ A functional view of in situ simulation

            Healthcare simulation has been widely adopted for health professional education at all stages of training and practice and across cognitive, procedural, communication and teamwork domains. Recent enthusiasm for in situ simulation—delivered in the real clinical environment—cites improved transfer of knowledge and skills into real-world practice, as well as opportunities to identify latent safety threats and other workplace-specific issues. However, describing simulation type according to place may not be helpful. Instead, I propose the term translational simulation as a functional term for how simulation may be connected directly with health service priorities and patient outcomes, through interventional and diagnostic functions, independent of the location of the simulation activity. Electronic supplementary material The online version of this article (10.1186/s41077-017-0052-3) contains supplementary material, which is available to authorized users.
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              PEARLS for Systems Integration: A Modified PEARLS Framework for Debriefing Systems-Focused Simulations

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                Author and article information

                Contributors
                tilly.pillay@uhl-tr.nhs.uk , t.pillay@wlv.ac.uk
                Journal
                Adv Simul (Lond)
                Adv Simul (Lond)
                Advances in Simulation
                BioMed Central (London )
                2059-0628
                28 August 2021
                28 August 2021
                2021
                : 6
                : 29
                Affiliations
                [1 ]GRID grid.269014.8, ISNI 0000 0001 0435 9078, University Hospitals of Leicester NHS Trust, ; Leicester, UK
                [2 ]GRID grid.6374.6, ISNI 0000000106935374, Faculty of Science and Engineering, RIHS, , University of Wolverhampton, ; Wolverhampton, UK
                [3 ]GRID grid.9918.9, ISNI 0000 0004 1936 8411, College of Life Sciences, , University of Leicester, ; Leicester, UK
                [4 ]West Midlands Neonatal Operational Delivery Network, Solihull, UK
                [5 ]GRID grid.439752.e, ISNI 0000 0004 0489 5462, University Hospitals of North Midlands NHS Trust, ; Stoke-on-Trent, UK
                [6 ]GRID grid.9757.c, ISNI 0000 0004 0415 6205, Faculty of Medicine and Health Sciences, , University of Keele, ; Keele, UK
                [7 ]GRID grid.412563.7, ISNI 0000 0004 0376 6589, University Hospitals Birmingham NHS Foundation Trust, ; Birmingham, UK
                [8 ]GRID grid.439417.c, Shrewsbury and Telford Hospital NHS Trust, ; Shrewsbury, UK
                [9 ]GRID grid.498025.2, Birmingham Women’s and Children’s NHS Foundation Trust, ; Birmingham, UK
                Author information
                http://orcid.org/0000-0002-4159-3282
                Article
                181
                10.1186/s41077-021-00181-1
                8401370
                34454614
                f59411f0-cd09-46ee-9727-90a886bd0f8e
                © The Author(s) 2021

                Open AccessThis 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
                : 21 April 2021
                : 19 August 2021
                Categories
                Advancing Simulation Practice
                Custom metadata
                © The Author(s) 2021

                neonatology,networks,neonatal networking,neonatal unit designation,consultant training

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