Teaching Mechanical Ventilation through High Fidelity Simulation
DOI:
https://doi.org/10.56294/dm2024.205Keywords:
High Fidelity Simulation Training, Education, Nursing, Continuing, Professional, TeachingAbstract
Introduction: The study aims to evaluate the use of high-fidelity clinical simulation in teaching mechanical ventilation to students in the master’s program in Nursing with a specialization in Critical Care. The simulation seeks to replicate complex clinical scenarios to improve students' competencies in a controlled and safe environment. Methodology: Simulations based on the HAMILTON-C6 ventilator were used, with students facing mechanical ventilation situations. The High-Fidelity Clinical Simulation Satisfaction Scale (ESSAF) was the instrument employed to measure students' perceptions of the effectiveness of this methodology. Simulation sessions were followed by debriefing to promote critical reflection and practical learning. Results: Students reported high satisfaction with the simulation, highlighting its usefulness in improving clinical assessment and decision-making in critical situations, with an average score of 3.57 for its utility in assessing clinical situations. Additionally, the simulation facilitated self-reflection on performance and the development of technical skills. However, the time allocated to the simulations received a lower rating (average score of 3.13), suggesting the need to extend the sessions for more complete learning. Discussion: The standard deviation showed consistency in the responses regarding the utility of the simulation and its ability to integrate theory and practice. However, there was more variability in perceptions of the difficulty of the cases and simulation time, indicating areas for improvement. Conclusion: Clinical simulation is a valuable tool for teaching mechanical ventilation in critical care, but it is recommended to increase the complexity of the scenarios and adjust the duration of the simulations to optimize learning.
References
1. Vera Millalén F. Infusión de habilidades blandas en el currículo de la educación superior: Clave para el desarrollo de capital humano avanzado. Revista Akadèmeia. 2017 Sep 4;15(1):53–73.
2. Payá Gómez MA. La educación por competencias: el retorno de la pedagogía por objetivos. 2024 [cited 2024 Apr 22]; Available from: https://www.researchgate.net/publication/379543874
3. Tuning EducationalStructures in Europe. Tuning EducationalStructures in Europe.
4. Aneca. LIBRO BLANCO. PROYECTO DE LA TITULACIÓNDE ENFERMERÍA. 2021.
5. Puiggrós-Binefa A, Colillas-Malet E, Soler-Sellarès M, Vilafranca-Cartagena M, Mateu-Capell M. Experiencia del estudiantado de 2.° grado de Enfermería durante la realización de una evaluación clínica objetiva estructurada (ECOE). Educación Médica. 2024 May 1;25(3):100895.
6. Menzala-Peralt C. Vista de Evaluación basada en competencias en educación superior. 2023 [cited 2024 Apr 22]; Available from: https://revistahorizontes.org/index.php/revistahorizontes/article/view/941/1753
7. Escandell Rico FM, Pérez Fernández L. Simulación de realidad virtual en la formación de los estudiantes de Enfermería: una revisión sistemática. Educación Médica. 2024 Jan 1;25(1):100866.
8. Alconero-Camarero AR, Sarabia Cobo CM, González-Gómez S, Ibáñez-Rementería I, Alvarez-García MP. Estudio descriptivo de la satisfacción de los estudiantes del Grado en Enfermería en las prácticas de simulación clínica de alta fidelidad. Enferm Clin. 2020 Nov 1;30(6):404–10.
9. Shakir M, Altaf A, Irshad HA, Hussain N, Pirzada S, Tariq M, et al. Factors Delaying the Continuum of Care for the Management of Traumatic Brain Injury in Low- and Middle-Income Countries: A Systematic Review. World Neurosurg. 2023 Dec 1;180:169-193.e3.
10. Monzani A, Corti E, Scalogna A, Savastio S, Pozzi E, Sainaghi PP, et al. Effectiveness of a standardized scenario in teaching the management of pediatric diabetic ketoacidosis (DKA) to residents: a simulation cross-sectional study. BMC Med Educ [Internet]. 2024 Dec 1 [cited 2024 Apr 8];24(1):1–9. Available from: https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-024-05334-0
11. Wang X, Yang L, Hu S. Teaching nursing students: As an umbrella review of the effectiveness of using high-fidelity simulation. Nurse Educ Pract. 2024 May 1;77:103969.
12. Raurell-Torredà M, Gómez-Ibañez R. High-fidelity simulation: Who has the most impressive laboratory? Enferm Intensiva. 2017 Apr 1;28(2):45–7.
13. León-Castelao E, Maestre JM. Prebriefing en simulación clínica: análisis del concepto y terminología en castellano. Educación Médica. 2019 Jul 1;20(4):238–48.
14. Aleksunes L, Ebanks Y, Tafuto B, Lechner D, Gladson B, Samuels EM, et al. 490 A high-fidelity globe and orbit surgical simulator for ophthalmologic surgical training. J Clin Transl Sci [Internet]. 2022 Apr [cited 2024 Apr 8];6(s1):97–8. Available from: https://www.cambridge.org/core/journals/journal-of-clinical-and-translational-science/article/490-a-highfidelity-globe-and-orbit-surgical-simulator-for-ophthalmologic-surgical-training/643F5E35691AA6BDFD2E45039BD0DE90
15. Santyr B, Abbass M, Chalil A, Krivosheya D, Denning L, Mattingly T, et al. P.149 High-fidelity simulation-based microsurgical training for neurosurgical residents. Canadian Journal of Neurological Sciences [Internet]. 2022 Jun [cited 2024 Apr 8];49(s1):S46–S46. Available from: https://www.cambridge.org/core/journals/canadian-journal-of-neurological-sciences/article/p149-highfidelity-simulationbased-microsurgical-training-for-neurosurgical-residents/7E94FC8E2A6AC1D3E4CF5FF00FCE01AF
16. Valdez SMC, Valdez SMC, Villar ÓAE del, Moreno LR. Diseños preexperimentales y cuasiexperimentales aplicados a las ciencias sociales y la educación. Enseñanza e Investigación en Psicología Nueva Época [Internet]. 2020 May 1 [cited 2024 Apr 12];2(2):167–78. Available from: https://revistacneipne.org/index.php/cneip/article/view/76
17. Aptoide. HAMILTON-C6 ventilator and patient simulation - Descargar APK para Android | Aptoide [Internet]. [cited 2024 Apr 12]. Available from: https://hamilton-c6.es.aptoide.com/app
18. Hamilton Medical Academy. OpenOlat - infinite learning [Internet]. 2024 [cited 2024 Apr 12]. Available from: https://e-academy.hamilton-medical.com/dmz/?lang=en&logout=true
19. Vázquez Castillo M. Adaptación de la Escala de Satisfacción en Simulación de Alta Fidelidad en estudiantes de enfermería. 2022.
20. Alconero-Camarero AR, Sarabia Cobo CM, González-Gómez S, Ibáñez-Rementería I, Alvarez-García MP. Descriptive study of the satisfaction of nursing degree students in high-fidelity clinical simulation practices. Enfermería Clínica (English Edition). 2020 Nov 1;30(6):404–10.
21. Lapkin S, Fernandez R, Levett-Jones T, Bellchambers H. The effectiveness of using human patient simulation manikins in the teaching of clinical reasoning skills to undergraduate nursing students: a systematic review. JBI Database System Rev Implement Rep. 2010;8(16):661–94.
22. Husebø SE, O’Regan S, Nestel D. Reflective Practice and Its Role in Simulation. Clin Simul Nurs [Internet]. 2015 Aug 1 [cited 2024 Sep 10];11(8):368–75. Available from: http://www.nursingsimulation.org/article/S1876139915000389/fulltext
23. Husebø SE, Dieckmann P, Rystedt H, Søreide E, Friberg F. The relationship between facilitators’ questions and the level of reflection in postsimulation debriefing. Simulation In Healthcare. 2013 Jun;8(3):135–42.
24. Cantrell MA. The Importance of Debriefing in Clinical Simulations. Clin Simul Nurs. 2008 Jul;4(2).
25. Fanning RM, Gaba DM. The role of debriefing in simulation-based learning. Simulation In Healthcare. 2007 Jun;2(2):115–25.
26. Neill MA, Wotton K. High-fidelity simulation debriefing in nursing education: A literature review. Clin Simul Nurs. 2011 Sep;7(5):e161–8.
27. Neill MA, Wotton K. High-Fidelity Simulation Debriefing in Nursing Education: A Literature Review. Clin Simul Nurs. 2011 Sep 1;7(5):e161–8.
28. Kong L, Liu Y, Li G, Fang Y, Kang X, Li P. Resilience moderates the relationship between emotional intelligence and clinical communication ability among Chinese practice nursing students: A structural equation model analysis. Nurse Educ Today. 2016 Nov 1;46:64–8.
29. Cook D, Rocker G, Marshall J, Sjokvist P, Dodek P, Griffith L, et al. Withdrawal of Mechanical Ventilation in Anticipation of Death in the Intensive Care Unit. New England Journal of Medicine. 2003 Sep 18;349(12):1123–32.
30. Kee Wong Y. Dealing Crisis Management using AI. International Journal of Computer Science, Engineering and Applications. 2021 Oct 31;11(05):15–22.
31. Crawford I, McBeth PB, Mitchelson M, Tiruta C, Ferguson J, Kirkpatrick AW. Telementorable “just-in-time” lung ultrasound on an iPhone. J Emerg Trauma Shock. 2011 Oct;4(4):526–7.
32. Alshehri FD, Jones S, Harrison D. The effectiveness of high-fidelity simulation on undergraduate nursing students’ clinical reasoning-related skills: A systematic review. Nurse Educ Today. 2023 Feb 1;121:105679.
33. Tussing TE, Tornwall J. Fostering Student Course Engagement Through Recorded Content Discussions. Nurse Educ. 2023 May 1;48(3):152.
34. Edwards T, Hromadik L, Gropelli T. Nursing Student Learning Outcomes Benchmarking to Inform Program Improvement. Nurse Educ. 2023 May 1;48(3):E103–4.
Published
Issue
Section
License
Copyright (c) 2024 Jeannette Mercedes Acosta Nuñez , Mónica Guadalupe Paredes Garcés , Jenny del Rocío Molina Salas , Carmen Marlene Salguero Fiallos , Elizabeth Giovanna Guerrero Guerrero , Mery Susana Rodríguez Gamboa , Margarita Genoveva Sánchez Yánez, Miriam Fernández Nieto (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.