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Setup and Execution Of the Blindfolded Code Training Exercise
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Published on: March 29, 2019

Five alive: using mock code simulation to improve responder performance during the first 5 minutes of a code.

Kathy Delac1, Diane Blazier, Laura Daniel

  • 1Department of Professional Practice, Allegheny General Hospital, Pittsburgh, Pennsylvania 15212, USA. kdelac@wpahs.org

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Mock code simulation training significantly improves registered nurses' performance in responding to medical emergencies. This training enhances confidence and reduces critical response times, such as cardiopulmonary resuscitation (CPR) and defibrillation.

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Area of Science:

  • Medical Education
  • Emergency Medicine
  • Nursing Simulation

Background:

  • Registered nurses require effective training to manage medical emergencies.
  • Traditional training methods may not fully prepare nurses for high-stress scenarios.
  • Simulation-based training offers a controlled environment to practice critical skills.

Purpose of the Study:

  • To evaluate the effectiveness of in-situ mock code simulation training.
  • To improve registered nurses' responder performance in emergency situations.
  • To assess the impact of simulation on nurses' confidence and response times.

Main Methods:

  • Monthly in-situ mock codes conducted on medical-surgical/telemetry units.
  • Utilized a 3-G Sim Man and unit-specific emergency equipment for realistic scenarios.
  • Included debriefing, post-surveys, and evaluation of participant confidence and response times (CPR, defibrillation).

Main Results:

  • Over 250 nurses participated in the 'Five Alive' course.
  • Participants reported increased confidence in recognizing patient deterioration post-simulation.
  • Demonstrated significant improvement in the time to initiate cardiopulmonary resuscitation (CPR) and defibrillation.

Conclusions:

  • In-situ medical emergency team/code simulation with debriefing enhances responder performance.
  • The 'Five Alive' program is an effective monthly training tool for nurses.
  • Scheduling simulations to minimize disruption to patient care remains a logistical challenge.