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Related Experiment Video

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The novice nurse's guide to calling "code blue".

Wayne Thomas Brice

    Journal of Continuing Education in Nursing
    |February 18, 2014
    PubMed
    Summary

    New nurses may activate rapid response teams (RRT) sooner using a new decision-making model for hemodynamic instability. This model may improve patient outcomes by addressing mental status changes, potentially reducing code blue events.

    Area of Science:

    • Nursing
    • Patient Safety
    • Clinical Decision-Making

    Background:

    • Delayed recognition of hemodynamic instability and mental status changes contributes to poor patient outcomes.
    • Current rapid response team (RRT) activation protocols do not prioritize changes in mental status.
    • Code blue events are often preceded by unaddressed alterations in patient mental status.

    Purpose of the Study:

    • To evaluate if a novel decision-making model improves the timeliness of RRT activation by new graduate nurses.
    • To determine if this model enhances the recognition of hemodynamic instability, particularly concerning mental status changes.
    • To provide data supporting the clinical utility of a structured approach to RRT activation.

    Main Methods:

    • Implementation of a simple, effective decision-making model for hemodynamic instability on a cardiothoracic telemetry unit.

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  • Focus on new graduate nurses' utilization of the model for RRT activation.
  • Anecdotal data collection on code blue survival rates pre- and post-implementation.

    • Main Results:

    • An anecdotal 50% improvement in the unit's code blue survival rate was observed after model implementation.
    • The model aims to improve the recognition of unstable patients by nurses.
    • The study highlights the potential impact of a structured decision-making tool.

    Conclusions:

    • A structured decision-making model may empower new graduate nurses to activate RRTs more promptly.
    • Further controlled educational pilot programs are necessary to validate these anecdotal findings.
    • This approach could enhance patient safety by improving the early detection of critical changes.