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Previously submitted to: JMIR Medical Education (no longer under consideration since May 18, 2024)

Date Submitted: Nov 14, 2023
Open Peer Review Period: Nov 14, 2023 - Jan 9, 2024
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Clinical Simulation in Complexity: Learning Based on Simulation to Innovate Medical Training

  • Sandra Liliana NAVARRO-PARRA; 
  • María Soledad Ramírez Montoya; 
  • Andrés Chiappe

ABSTRACT

Background:

The social isolation and distancing measures which followed the COVID-19 pandemic promoted clinical telesimulation and virtual simulation as a didactic strategy for training medical students. These strategies have not yet been fully evaluated in terms of impact and acceptability.

Objective:

This study evaluates virtual simulation and telesimulation strategies applied during the pandemic from the perspective of students, professors, and experts in clinical simulation.

Methods:

A qualitative method was applied to 56 medical students studying semiology and 12 professors. The students and professors conducted clinical simulations during in-person classes assisted by information and communication technology (ICT). Follow-up was conducted for 18 months. The intervention focused on tele-simulation and in-person ICT-assisted classes. The measurements focused on students’ perceptions of the practice and of professors relating to developing skills and competence.

Results:

During remote debriefing, students gave simulations an average rating of 6.43/7. Measuring the competence development (generic and specific) showed a rate of 82.2% at different times during the simulation, corresponding to the 80% level of development given by professors’ evaluations in real scenarios.

Conclusions:

Using a simulation-based didactic strategy in the form of ICT-assisted in-person classes prior to the practical training stage required for medical students was pertinent, efficient, and found to be favourable during the pandemic.


 Citation

Please cite as:

NAVARRO-PARRA SL, Ramírez Montoya MS, Chiappe A

Clinical Simulation in Complexity: Learning Based on Simulation to Innovate Medical Training

JMIR Preprints. 14/11/2023:54554

DOI: 10.2196/preprints.54554

URL: https://preprints.jmir.org/preprint/54554

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