BACKGROUND New nurse attrition jeopardizes patient safety, devastates career plans, and negatively impacts costs to hospitals and patients. Employers and educators recognize the widening transition-to-practice gap in meeting expectations for… Click to show full abstract
BACKGROUND New nurse attrition jeopardizes patient safety, devastates career plans, and negatively impacts costs to hospitals and patients. Employers and educators recognize the widening transition-to-practice gap in meeting expectations for practice-ready, resilient nurses. PURPOSE The purpose of this study was to test the use of computer-based simulation activities (CBSAs) to measure processes in Aller's Development of Decision-Making and Self-Efficacy Model (ADD-SEM). METHODS BSN students (N = 50) in a multisite, cross-sectional study used CBSAs to provide data on decision making (Virtual Patient Lasater's Clinical Judgment Rubric), psychological capital (Nursing Anxiety and Self-Confidence in Decision-Making ScaleĀ©), and reflection. RESULTS Repeated-measures analysis of variance and reflexive thematic analysis revealed that decision-making (DM) scores were highest in noticing and lowest in interpreting with significant differences in cohorts (DM) (juniors: P < .001; seniors: P = .013) and self-confidence/anxiety (P < .001). CONCLUSION The CBSAs are an effective means of measuring student development of DM and psychological capital needed to retain resilient nurses.
               
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