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Updated: Dec 29, 2025

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
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Predictors of Nursing Clinical Judgment in Simulation.

Mary Ann Shinnick1, Cristina Cabrera-Mino

  • 1About the Authors Mary Ann Shinnick, PhD, RN, is an associate adjunct professor and director of simulation, University of California Los Angeles School of Nursing, Los Angeles, California. Cristina Cabrera-Mino, BS, RN, was a research associate at the University of California Los Angeles School of Nursing when this research was conducted. The authors acknowledge the efforts of the following research assistants: Christian Cannady, simulation technician, University of California at Los Angeles School of Nursing; Nicole Robbins, simulation technician, University of California at Los Angeles David Geffen School of Medicine; and Cole Nelson. For more information, contact Dr. Shinnick at mshinnic@sonnet.ucla.edu.

Nursing Education Perspectives
|February 7, 2020
PubMed
Summary
This summary is machine-generated.

This pilot study found that only years of registered nurse (RN) experience predicted better clinical judgment in a simulation. Stress indicators were present but not significant predictors of nursing performance.

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Area of Science:

  • Nursing Education
  • Clinical Judgment Research
  • Human Factors in Healthcare

Background:

  • Novice and expert nurses' clinical judgment varies significantly.
  • Simulation offers a controlled environment to assess nursing skills.
  • Stress can impact clinical decision-making in healthcare professionals.

Purpose of the Study:

  • To identify predictors of clinical judgment in nurses.
  • To explore the relationship between experience, stress, and clinical judgment.
  • To evaluate the utility of simulation in assessing nursing expertise.

Main Methods:

  • Pilot study involving novice and expert nurses in a simulation.
  • Collected data on age, nursing experience, and simulation experience.
  • Measured stress using pupil dilation and assessed clinical judgment with the Lasater Clinical Judgment Rubric.

Main Results:

  • Stepwise linear regression identified years of registered nurse (RN) experience as the sole significant predictor of clinical judgment.
  • Pupil dilation indicated stress during the simulation, but this was not a statistically significant predictor.
  • Nursing experience was the only variable correlating with superior performance on the clinical judgment rubric.

Conclusions:

  • Years of RN experience is a key factor in developing strong clinical judgment.
  • While stress is evident in simulated environments, it does not appear to be a primary determinant of clinical judgment in this cohort.
  • Further research with larger sample sizes is warranted to validate these findings.