Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Nov 18:10:1000544.
doi: 10.3389/fped.2022.1000544. eCollection 2022.

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

V Giordano  1 , K Bibl  1 , A Felnhofer  2 , O Kothgassner  3 , P Steinbauer  1 , F Eibensteiner  4 , P Gröpel  5 , F Scharnowski  6 , M Wagner  1 , A Berger  1 , M Olischar  1 , D Steyrl  6
Affiliations

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

V Giordano et al. Front Pediatr. .

Abstract

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.

Keywords: psychological traits; resuscitation; simulation; stress; training.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Estimated marginal means considering the effect of training and gender on performance.
Figure 2
Figure 2
Importance of factors for the prediction of internality vs. externality control belief (FKK_skpc) when using an extra trees (ET) regressor.
Figure 3
Figure 3
Importance of factors for the prediction of participants performance in the NLS scenario (defi points) when using an extra trees (ET) regressor. Total importance is given by the mean |SHAP| value.
Figure 4
Figure 4
Importance of factors for the prediction of good/bad performer in the NLS scenario when using an extra trees (ET) classifier.
See this image and copyright information in PMC

References

    1. Vilar E, Rebelo F, Noriega P, Duarte E, Mayhorn CB. Effects of competing environmental variables and signage on route-choices in simulated everyday and emergency wayfinding situations. Ergonomics. (2014) 57(4):511–24. 10.1080/00140139.2014.895054 - DOI - PubMed
    1. Jeong J, Hong KJ, Shin SD, Ro YS, Song KJ, Lee EJ, Lee YJ, Ahn KO. Relationship between drowning location and outcome after drowning-associated out-of-hospital cardiac arrest: nationwide study. Am J Emerg Med. (2016) 34(9):1799–803. 10.1016/j.ajem.2016.06.008 - DOI - PubMed
    1. Barcala-Furelos R, Szpilman D, Palacios-Aguilar J, Costas-Veiga J, Abelairas-Gomez C, Bores-Cerezal A, Lopez-Garcia S, Rodriguez-Nunez A. Assessing the efficacy of rescue equipment in lifeguard resuscitation efforts for drowning. Am J Emerg Med. (2016) 34(3):480–5. 10.1016/j.ajem.2015.12.006 - DOI - PubMed
    1. Hunziker S, Johansson AC, Tschan F, Semmer NK, Rock L, Howell MD, Marsch S. Teamwork and leadership in cardiopulmonary resuscitation. J Am Coll Cardiol. (2011) 57(24):2381–8. 10.1016/j.jacc.2011.03.017 - DOI - PubMed
    1. Barcala-Furelos R, Abelairas-Gomez C, Romo-Perez V, Palacios-Aguilar J. Effect of physical fatigue on the quality CPR: a water rescue study of lifeguards: physical fatigue and quality CPR in a water rescue. Am J Emerg Med. (2013) 31(3):473–7. 10.1016/j.ajem.2012.09.012 - DOI - PubMed

LinkOut - more resources