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<article article-type="In Practice" dtd-version="1.3d1" xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ijohs</journal-id>
<journal-title-group>
<journal-title>International Journal of Healthcare Simulation</journal-title>
<abbrev-journal-title>International Journal of Healthcare Simulation</abbrev-journal-title>
</journal-title-group>
<issn publication-format="electronic">2754-4524</issn>
<publisher>
<publisher-name>Adi Health + Wellness</publisher-name>
<publisher-loc>London, UK</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">MJMV1317.039</article-id>
<article-id pub-id-type="doi">10.54531/MJMV1317</article-id>
<article-categories>
<subj-group subj-group-type="toc-heading"><subject>In Practice</subject></subj-group>
<subj-group subj-group-type="section"><subject>Design</subject></subj-group>
</article-categories>
<title-group>
<article-title>A38<break/>Bridging the gap to FY1 &#x2013; A high fidelity, regional programme with real life actor-based simulation of the acutely unwell patient</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Oswald</surname><given-names>Thomas</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="c1"/></contrib>
<contrib contrib-type="author" corresp="no"><name><surname>Hughes</surname><given-names>Tara</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author" corresp="no"><name><surname>James Speed</surname><given-names>James Speed</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<aff id="aff1"><label>1</label><institution>East Sussex Healthcare NHS Trust</institution>, Eastbourne, <country>United Kingdom</country></aff>
<aff id="aff2"><label>2</label><institution>East Sussex Healthcare NHS Trust</institution>, Hastings, <country>United Kingdom</country></aff>
<aff id="aff3"><label>3</label><institution>East Sussex Healthcare NHS Trust</institution>, Hastings, <country>United Kingdom</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1"><bold>Correspondence:</bold> <email xlink:href="thomas.oswald@nhs.net">thomas.oswald@nhs.net</email></corresp>
</author-notes>
<pub-date pub-type="epub" iso-8601-date="2023-10-31"><day>31</day><month>10</month><year>2023</year></pub-date>
<volume>3</volume>
<supplement>1</supplement>
<fpage>A27</fpage>
<lpage>A27</lpage>
<permissions>
<copyright-statement>&#x00A9; The Author(s). 2023</copyright-statement>
<copyright-year>2023</copyright-year>
</permissions>
<self-uri xlink:title="pdf" xlink:href="MJMV1317.039.pdf"/>
<abstract>
<sec><title>Background and aim:</title>
<p>Simulation based learning is becoming an increasingly important focus across medical curricula internationally [1]. The need for medical students to be both theoretically and practically competent is essential in the transition to becoming a successful junior doctor. High technology driven manikin simulations are useful, however access is limited by lack of equipment, finance, and training. In district general hospitals this restricts junior doctors&#x2019; exposure to teaching and students&#x2019; access to a diversity of cases. Utilizing junior doctors as Near Peer Tutors (NPTs) provides a real life equivalent to the simulation experience that comes closer to exposing trainees to the realities of hospital life as an on-call doctor [2].</p>
</sec>
<sec><title>Methods:</title>
<p>A 6-week programme originally designed in a separate NHS Trust was adapted and streamlined with improvements made to data collection, labour division and content delivery. Ten simulation sessions across two district general hospitals ran from 18/10/22 to 21/04/23 with 37 medical students and 8 NPTs. Each week focused on typical, in-hospital scenarios commonly faced by junior doctors. A self-assessment confidence survey and digital knowledge quiz was undertaken on the weekly topic followed by a 10-minute, high yield, interactive lecture delivered by a NPT. Students were split into groups of two and each group assessed the &#x2018;acutely unwell patient&#x2019; with an &#x2018;ABCDE&#x2019; styled approach to diagnosis and management. The NPT actor simulated improvement or decline based on the management decisions of the students. A STOP5 hot debrief ran at the end to give constructive feedback and promote discussion [3].</p>
</sec>
<sec><title>Results:</title>
<p>Self-assessment confidence scores by medical students were quantified against a 4-point Likert confidence scale. The students&#x2019; confidence rating improved by an average of 0.65 units (average pre-teaching = 2.40, average post-teaching = 3.05) (p&#x003C;0.00001). Following the session, 35/37 students described themselves as &#x2018;quite confident&#x2019; managing an emergency scenario compared with 13/37 prior to the session. Thematic analysis of the perceived benefit by students highlighted 3 main areas; an opportunity to engage in practical scenarios, utilization of A-E assessments, and the benefits of real-life actors. Students enjoyed the &#x2018;informal setting&#x2019;, &#x2018;life like&#x2019; encounters, and expressed they would like to attend additional specialty specific sessions.</p>
</sec>
<sec><title>Conclusion:</title>
<p>NPT centred medical simulation in a low-cost environment is a compelling method of engaging junior doctors as teachers and equipping medical students with the skills to become future on-call doctors. We encourage the implementation of similar programmes alongside medical school curricula to supplement preparation for practice.</p>
</sec>
<sec><title>Ethics statement:</title>
<p>Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.</p>
</sec>
</abstract>
<conference>
<conf-date iso-8601-date="2023">2023</conf-date>
<conf-name>ASPiH conference abstracts for IJoHS supplement 2023</conf-name>
</conference>
<custom-meta-group>
<custom-meta><meta-name>version</meta-name><meta-value>fulltext</meta-value></custom-meta>
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</front>
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<sec><title>References</title>
<p>1. Issenberg SB, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach. 2005 Jan;27(1):10-28. doi: 10.1080/01421590500046924. PMID: 16147767.</p>
<p>2. Meerdink M, Khan J. Comparison of the use of manikins and simulated patients in a multidisciplinary in situ medical simulation program for healthcare professionals in the United Kingdom. J Educ Eval Health Prof. 2021;18:8. doi: 10.3352/jeehp.2021.18.8. Epub 2021 Apr 20. PMID: 33873264; PMCID: PMC8175761.</p>
<p>3. Walker CA, McGregor L, Taylor C, Robinson S. STOP5: a hot debrief model for resuscitation cases in the emergency department. Clin Exp Emerg Med. 2020 Dec;7(4):259-266. doi: 10.15441/ceem.19.086. Epub 2020 Dec 31. PMID: 33440103; PMCID: PMC7808839.</p>
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