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Testing Confounders in Brain Death Determination: A New Simulation Model.

Sara Hocker1, Donna Schumacher2, Jay Mandrekar3

  • 1Division of Critical Care Neurology, Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. hocker.sara@mayo.edu.

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Summary
This summary is machine-generated.

Simulation training significantly improved trainee confidence and performance in brain death evaluations, addressing common pitfalls. This approach enhances the accuracy of brain death determination in clinical practice.

Keywords:
Brain deathCurricular milestonesError in medicineMedical educationSimulation

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Area of Science:

  • Medical Education
  • Neurology
  • Critical Care Medicine

Background:

  • Brain death determination is rarely encountered by trainees, potentially leading to performance gaps.
  • Assessing trainee competency in brain death evaluation is crucial for patient safety and diagnostic accuracy.
  • Simulation models offer a viable method for auditing and improving brain death determination skills.

Purpose of the Study:

  • To evaluate the effectiveness of a novel simulation model in training medical professionals on brain death determination.
  • To assess trainee performance and confidence levels in conducting brain death examinations before and after simulation.
  • To identify common pitfalls and challenges encountered during the brain death evaluation process.

Main Methods:

  • A simulated brain death scenario was developed using a high-fidelity mannequin and incorporating potential confounders.
  • Critical care and neurology trainees were assessed using a 24-point checklist based on American Academy of Neurology (AAN) guidelines.
  • Trainee confidence in brain death and apnea testing was measured on a 5-point scale pre- and post-simulation, followed by debriefing.

Main Results:

  • Forty-one trainees participated, with performance scores of 71.5% for prerequisites and 71.0% for the clinical examination.
  • A significant improvement in trainee confidence was observed post-simulation for both brain death evaluation (2.12 to 3.29) and apnea testing (2.10 to 3.59).
  • Over 25% of trainees demonstrated suboptimal performance in key aspects of the brain death evaluation.

Conclusions:

  • The developed simulation model effectively trains medical professionals on crucial aspects of brain death determination, including potential pitfalls.
  • Simulation-based training significantly enhances both clinical performance and confidence in evaluating brain death among trainees.
  • Targeted simulation is essential for improving the accuracy and consistency of brain death diagnosis in clinical settings.