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Stress responses in high-fidelity simulation and standard simulation training among medical students

BACKGROUND: Simulation has been recognized as a shift in healthcare education that can improve skills and patient safety and outcomes. High-fidelity simulation of critical medical situations can be a source of stress among participants that can interfere with students' abilities leading to unex...

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Autores principales: Barbadoro, Pamela, Brunzini, Agnese, Dolcini, Jacopo, Formenti, Luca, Luciani, Aurora, Messi, Daniele, Papetti, Alessandra, Ponzio, Elisa, Germani, Michele, Adrario, Erica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936714/
https://www.ncbi.nlm.nih.gov/pubmed/36797725
http://dx.doi.org/10.1186/s12909-023-04101-x
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author Barbadoro, Pamela
Brunzini, Agnese
Dolcini, Jacopo
Formenti, Luca
Luciani, Aurora
Messi, Daniele
Papetti, Alessandra
Ponzio, Elisa
Germani, Michele
Adrario, Erica
author_facet Barbadoro, Pamela
Brunzini, Agnese
Dolcini, Jacopo
Formenti, Luca
Luciani, Aurora
Messi, Daniele
Papetti, Alessandra
Ponzio, Elisa
Germani, Michele
Adrario, Erica
author_sort Barbadoro, Pamela
collection PubMed
description BACKGROUND: Simulation has been recognized as a shift in healthcare education that can improve skills and patient safety and outcomes. High-fidelity simulation of critical medical situations can be a source of stress among participants that can interfere with students' abilities leading to unexpected emotional responses. The aim of this study is to determine if two simulation methods, high-fidelity (HF) and procedural simulation (PS), may be associated with stress responses at a self-perceived and biological level (salivary cortisol variations), and to compare stress levels of the two different simulation method. We also wanted to find independent variables associated with cortisol total hormonal output. METHODS: A quasi-experimental before-after study was used including the administration of questionnaires, and biomarkers evaluation by salivary cortisol samples before and after simulation. A total of 148 students were eligible and agreed to participate in the study. We used paired T-test for mean comparison regarding State-trait anxiety for both HF and PT simulations. For NASA-TLX we performed a T-test mean comparison between groups. We used paired T-test mean comparison for cortisol analysis. Multivariable linear regression has been used to assess variables associated with AUC(g) values and perceived stress. RESULTS: values of STAI-Y scores were relatively higher at the end of the HF and PS sessions. NASA-TLX was significantly higher at baseline for the HF simulations, with respect to the PS simulation. Cortisol fold increase was significantly different in the two groups. Linear regression showed that cortisol AUCg was related to the STAI-Y score in both groups. CONCLUSION: Participating students developed a stress response both after in the HF and PS training, testified by psychological and biological outputs. According to our results, stress levels were increased for simply being in a simulation scenario than to the intrinsic complexity of the task required. More studies are needed to confirm this trend and to clarify the role of simulated stress response in a long-term learning scenario.
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spelling pubmed-99367142023-02-18 Stress responses in high-fidelity simulation and standard simulation training among medical students Barbadoro, Pamela Brunzini, Agnese Dolcini, Jacopo Formenti, Luca Luciani, Aurora Messi, Daniele Papetti, Alessandra Ponzio, Elisa Germani, Michele Adrario, Erica BMC Med Educ Research BACKGROUND: Simulation has been recognized as a shift in healthcare education that can improve skills and patient safety and outcomes. High-fidelity simulation of critical medical situations can be a source of stress among participants that can interfere with students' abilities leading to unexpected emotional responses. The aim of this study is to determine if two simulation methods, high-fidelity (HF) and procedural simulation (PS), may be associated with stress responses at a self-perceived and biological level (salivary cortisol variations), and to compare stress levels of the two different simulation method. We also wanted to find independent variables associated with cortisol total hormonal output. METHODS: A quasi-experimental before-after study was used including the administration of questionnaires, and biomarkers evaluation by salivary cortisol samples before and after simulation. A total of 148 students were eligible and agreed to participate in the study. We used paired T-test for mean comparison regarding State-trait anxiety for both HF and PT simulations. For NASA-TLX we performed a T-test mean comparison between groups. We used paired T-test mean comparison for cortisol analysis. Multivariable linear regression has been used to assess variables associated with AUC(g) values and perceived stress. RESULTS: values of STAI-Y scores were relatively higher at the end of the HF and PS sessions. NASA-TLX was significantly higher at baseline for the HF simulations, with respect to the PS simulation. Cortisol fold increase was significantly different in the two groups. Linear regression showed that cortisol AUCg was related to the STAI-Y score in both groups. CONCLUSION: Participating students developed a stress response both after in the HF and PS training, testified by psychological and biological outputs. According to our results, stress levels were increased for simply being in a simulation scenario than to the intrinsic complexity of the task required. More studies are needed to confirm this trend and to clarify the role of simulated stress response in a long-term learning scenario. BioMed Central 2023-02-17 /pmc/articles/PMC9936714/ /pubmed/36797725 http://dx.doi.org/10.1186/s12909-023-04101-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Barbadoro, Pamela
Brunzini, Agnese
Dolcini, Jacopo
Formenti, Luca
Luciani, Aurora
Messi, Daniele
Papetti, Alessandra
Ponzio, Elisa
Germani, Michele
Adrario, Erica
Stress responses in high-fidelity simulation and standard simulation training among medical students
title Stress responses in high-fidelity simulation and standard simulation training among medical students
title_full Stress responses in high-fidelity simulation and standard simulation training among medical students
title_fullStr Stress responses in high-fidelity simulation and standard simulation training among medical students
title_full_unstemmed Stress responses in high-fidelity simulation and standard simulation training among medical students
title_short Stress responses in high-fidelity simulation and standard simulation training among medical students
title_sort stress responses in high-fidelity simulation and standard simulation training among medical students
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936714/
https://www.ncbi.nlm.nih.gov/pubmed/36797725
http://dx.doi.org/10.1186/s12909-023-04101-x
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