Measuring Nursing Student Development Through Computer-Based Simulation Activities

Nurse Educ. 2023 Nov-Dec;48(6):298-303. doi: 10.1097/NNE.0000000000001423. Epub 2023 Apr 10.

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 Scale©), 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.

MeSH terms

  • Clinical Competence
  • Computers
  • Cross-Sectional Studies
  • Education, Nursing, Baccalaureate*
  • Humans
  • Nursing Education Research
  • Students, Nursing* / psychology