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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.
Abstract:
This was a pilot study of novice and expert nurses participating in a simulation to determine the predictors of clinical judgment. Covariates included age, nursing experience, simulation experience, and six measures of pupil dilation as a measure of stress with scores on the Lasater Clinical Judgment Rubric as the dependent variable. A stepwise linear regression found years of RN experience was the only predictor of better clinical judgment. Despite evidence of stress, only years as a nurse was a statistically significant predictor.
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