About 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
Nurs Educ Perspect. 2021;42(2):107-109. doi: 10.1097/01.NEP.0000000000000604.
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.
这是一项针对新手和专家护士参与模拟的初步研究，旨在确定临床判断的预测因素。协变量包括年龄、护理经验、模拟经验以及瞳孔扩张的六个指标，以作为压力的衡量标准，而 Lasater 临床判断量表的分数则作为因变量。逐步线性回归发现，注册护士工作年限是临床判断改善的唯一预测因素。尽管有压力的证据，但只有护士工作年限是统计学上显著的预测因素。
