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Human-simulation-based learning to prevent medication error: A systematic review.

Laura Sarfati1, Florence Ranchon1,2, Nicolas Vantard1

  • 1Hospices Civils de Lyon, Groupement Hospitalier Sud, Pharmacie, Unité de Pharmacie Clinique Oncologique, Pierre Bénite, France.

Journal of Evaluation in Clinical Practice
|February 1, 2018
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Human simulation effectively trains healthcare professionals to prevent medication errors (ME). Well-designed programs incorporating human factors reduce iatrogenic risk, though long-term impact requires further study.

Keywords:
educationmedication errorsimulation-based learningsystematic review

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Area of Science:

  • Healthcare education
  • Patient safety
  • Medical simulation

Background:

  • Medication errors (ME) pose a significant risk in healthcare.
  • Simulation-based learning (SBL) offers a safe environment for training healthcare professionals.
  • Best practices for human simulation in healthcare are not yet well-defined.

Purpose of the Study:

  • To assess the effectiveness of human simulation in reducing medication errors.
  • To identify key elements for successful simulation-based learning programs for ME prevention.

Main Methods:

  • Systematic review of Medline database (2000-2015).
  • Inclusion of studies on human simulation for nontechnical skills in healthcare.
  • Exclusion of technology-based simulation reports.

Main Results:

  • Twenty-one studies were selected, varying in design and assessment.
  • Few studies demonstrated simulation's superiority over didactic learning for ME reduction.
  • Key elements for effective programs include scenario design, debriefing, and perception assessment.

Conclusions:

  • Human simulation is a valuable tool for training in exceptional and daily healthcare events.
  • Well-designed simulation programs integrating human factors can effectively prevent iatrogenic risks from ME.
  • Further research is needed on long-term assessment and real-life extrapolation.