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Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis

BACKGROUND: In life-threatening emergency events, prompt decision-making and accurate reactions are essential for saving a human's life. Some of these skills can be improved by regular simulation trainings. However, besides these factors, individual characteristics may play a significant role i...

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Autores principales: Giordano, V., Bibl, K., Felnhofer, A., Kothgassner, O., Steinbauer, P., Eibensteiner, F., Gröpel, P., Scharnowski, F., Wagner, M., Berger, A., Olischar, M., Steyrl, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715966/
https://www.ncbi.nlm.nih.gov/pubmed/36467496
http://dx.doi.org/10.3389/fped.2022.1000544
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author Giordano, V.
Bibl, K.
Felnhofer, A.
Kothgassner, O.
Steinbauer, P.
Eibensteiner, F.
Gröpel, P.
Scharnowski, F.
Wagner, M.
Berger, A.
Olischar, M.
Steyrl, D.
author_facet Giordano, V.
Bibl, K.
Felnhofer, A.
Kothgassner, O.
Steinbauer, P.
Eibensteiner, F.
Gröpel, P.
Scharnowski, F.
Wagner, M.
Berger, A.
Olischar, M.
Steyrl, D.
author_sort Giordano, V.
collection PubMed
description BACKGROUND: In life-threatening emergency events, prompt decision-making and accurate reactions are essential for saving a human's life. Some of these skills can be improved by regular simulation trainings. However, besides these factors, individual characteristics may play a significant role in the patients' outcome after a resuscitation event. This study aimed to differentiate personality characteristics of team members who take responsibility for their actions, contextualizing the effect of training on resuscitation performance. METHODS: Six hundred and two third-year medical students were asked to answer psychological and personality questionnaires. Fifty-five of them performed in a neonatal simulation resuscitation scenario. To assess participants' performances in the NLS scenario, we used a scenario-based designed NLS checklist. A machine learning design was utilized to better understand the interaction of psychological characteristics and training. The first model aimed to understand how to differentiate between people who take responsibility for their actions vs. those who do not. In a second model, the goal was to understand the relevance of training by contextualizing the effect of training to other important psychological and personality characteristics like locus of control, anxiety, emotion regulation, openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. RESULTS: No statistically significant differences were found for psychological characteristics between the training group and the no training group. However, as expected, differences were noted in favor of the training group for performance and within gender for psychological characteristics. When correcting for all these information in a model, anxiety and gender were the most important factors associated with taking responsibility for an action, while training was the only relevant factor in explaining performance during a neonatal resuscitation scenario. CONCLUSION: Training had a significantly stronger effect on performance in medical students in a neonatal resuscitation scenario than individual characteristics such as demographics, personality, and trait anxiety.
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spelling pubmed-97159662022-12-03 Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis Giordano, V. Bibl, K. Felnhofer, A. Kothgassner, O. Steinbauer, P. Eibensteiner, F. Gröpel, P. Scharnowski, F. Wagner, M. Berger, A. Olischar, M. Steyrl, D. Front Pediatr Pediatrics BACKGROUND: In life-threatening emergency events, prompt decision-making and accurate reactions are essential for saving a human's life. Some of these skills can be improved by regular simulation trainings. However, besides these factors, individual characteristics may play a significant role in the patients' outcome after a resuscitation event. This study aimed to differentiate personality characteristics of team members who take responsibility for their actions, contextualizing the effect of training on resuscitation performance. METHODS: Six hundred and two third-year medical students were asked to answer psychological and personality questionnaires. Fifty-five of them performed in a neonatal simulation resuscitation scenario. To assess participants' performances in the NLS scenario, we used a scenario-based designed NLS checklist. A machine learning design was utilized to better understand the interaction of psychological characteristics and training. The first model aimed to understand how to differentiate between people who take responsibility for their actions vs. those who do not. In a second model, the goal was to understand the relevance of training by contextualizing the effect of training to other important psychological and personality characteristics like locus of control, anxiety, emotion regulation, openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. RESULTS: No statistically significant differences were found for psychological characteristics between the training group and the no training group. However, as expected, differences were noted in favor of the training group for performance and within gender for psychological characteristics. When correcting for all these information in a model, anxiety and gender were the most important factors associated with taking responsibility for an action, while training was the only relevant factor in explaining performance during a neonatal resuscitation scenario. CONCLUSION: Training had a significantly stronger effect on performance in medical students in a neonatal resuscitation scenario than individual characteristics such as demographics, personality, and trait anxiety. Frontiers Media S.A. 2022-11-18 /pmc/articles/PMC9715966/ /pubmed/36467496 http://dx.doi.org/10.3389/fped.2022.1000544 Text en © 2022 Giordano, Bibl, Felnhofer, Kothgassner, Steinbauer, Eibensteiner, Gröpel, Scharnowski, Wagner, Berger, Olischar and Steyrl. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Giordano, V.
Bibl, K.
Felnhofer, A.
Kothgassner, O.
Steinbauer, P.
Eibensteiner, F.
Gröpel, P.
Scharnowski, F.
Wagner, M.
Berger, A.
Olischar, M.
Steyrl, D.
Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis
title Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis
title_full Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis
title_fullStr Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis
title_full_unstemmed Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis
title_short Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis
title_sort relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: a machine learning based analysis
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715966/
https://www.ncbi.nlm.nih.gov/pubmed/36467496
http://dx.doi.org/10.3389/fped.2022.1000544
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