Evaluating Satisfaction and Self-Confidence in Critical Care Training: A Simulation-Based Learning Research in Medical Education

Manti Debnath and Rajashree Panigrahi

Seminars in Medical Writing and Education, 2023, vol. 2, 109

Abstract: Simulation-based learning (SBL) is recognized as an invaluable teaching medium in medical education, providing an opportunity for healthcare practitioners to acquire hands-on experience in managing emergencies within a controlled environment. Although the practice of critical care needs no emphasis in medical training, there is little empirical evidence regarding the effects of simulation-based learning on medical trainees. This research assesses how an SBL would increase satisfaction and self-confidence in medical trainees concerning critical care scenarios. A total of 170 participants included undergraduate medical trainees who took part in well-structured simulation exercises depicting live emergencies, such as cardiac arrest, respiratory failure, and sepsis. In evaluating the effect of SBL, participants had to complete pre- and post-simulation satisfaction and self-confidence surveys. A paired t-test was used to compare pre-and post-simulation self-confidence ratings. Finally, descriptive statistics were used to assess the satisfaction levels, and thematic analysis was conducted for the qualitative feedback from participants. A significant change in self-confidence was documented post-simulation (p

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:2:y:2023:i::p:109:id:109

DOI: 10.56294/mw2023109

Access Statistics for this article

More articles in Seminars in Medical Writing and Education from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().