The Effect of Expert Patient Simulation on Clinical Judgment: A Quasi-Experimental Study

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Abstract
Background: Worldwide, quality education is one of the important tools to improve healthcare quality. Healthcare practitioners must be competent in their clinical judgement to meet clients’ need. However, poor clinical judgment skill accounts for almost one-third of all patient problems in health care. Expert patient simulation has been used as a training method for clinical judgement skill. However, according to empirical studies, using expert patients to develop clinical judgement skill is unclear. The method is effective in one situation but not in another. Objective: To examine the effect of expert patient simulation on the clinical judgment skill of health science students of Mizan-Tepi University. Methods: A pre-test/post-test quasi-experimental design was used on 92 randomly selected samples from the graduating cohort of midwifery students. The research subjects who took part in the experiment were picked at random. Tools included the Creighton Competency Evaluation Instrument (C-CEI®), the Learning Satisfaction and Self-Confidence Questionnaire, and the Kolb Learning Style Inventory (LSI). The Wilcoxon-signed rank test was utilized to compare the self-confidence scores among intervention and control group of students, and the paired sample test was used to compare clinical judgment scores. Cohen’s d was used to assess the effect size, and Spearman correlation was used to explore the association. Results: Clinical decision-making ability and self-confidence measures revealed statistical and practical differences between before and after simulation. There was a mean difference of 2.28 (95% CI, 1.78, 2.79), t (45)=9.13, p 0.001, and an effect size of 1.3, p 0.001. A pre-and post-simulation self-confidence measure showed statistically significant improvement after simulation (W = 1, Z = − 3.57, P 0.001). A moderately significant positive connection (r = 0.419, p 0.004) was also discovered. Conclusion: The study found that human expert patient simulation is a tremendous clinical training technique for improving students’ clinical decision-making skill competency and self-confidence.

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