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'Disaster day': global health simulation teaching.

Rayan Mohamed-Ahmed1, Alex Daniels1, Jack Goodall1

  • 1Newcastle University Medical School, Newcastle, UK.

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|June 26, 2015
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Summary

Simulation-based learning effectively enhanced medical undergraduates' confidence in global health competencies. This innovative "Disaster Day" initiative provided crucial hands-on experience in diverse global health scenarios.

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Area of Science:

  • Medical Education
  • Global Health
  • Simulation-Based Learning

Background:

  • Increasing globalization necessitates global health education for medical undergraduates.
  • Hands-on global health exposure for students often occurs during elective periods.
  • A student-led initiative, 'Disaster Day', utilized simulation to address this educational gap.

Purpose of the Study:

  • To describe and evaluate an innovative student-led simulation initiative for teaching global health to medical undergraduates.
  • To assess the impact of the simulation on students' confidence in key global health learning domains.

Main Methods:

  • The 'Disaster Day' involved an introduction to Médecins Sans Frontières and resuscitation principles.
  • Students participated in four interactive simulation scenarios: infectious diseases, natural disaster, obstetric emergency, and war injuries.
  • Confidence levels were measured using pre- and post-session evaluations on an eight-domain Likert scale.

Main Results:

  • Twenty-seven students attended, providing comprehensive feedback.
  • Statistically significant improvements in confidence were observed across most learning domains post-simulation.
  • Student feedback highlighted the value of practical, hands-on scenario-based learning.

Conclusions:

  • Simulation-based teaching offers a controlled and reproducible method for global health education.
  • This approach effectively enhances student confidence in various global health competencies.
  • Wider adoption of such methods can foster more well-rounded clinicians prepared for diverse patient populations.