Nursing Students' Perceptions Of Simulation-Based Learning In Santa Elena, Ecuador

Abstract

Introduction: Simulation-based learning is a fundamental component in the pedagogy of health sciences, as it facilitates the recreation of authentic clinical scenarios in a controlled setting. It facilitates the integration of theoretical knowledge, the development of clinical and interpersonal skills, the enhancement of reflective decision-making processes, and the resolution of conflicts, thereby ensuring the delivery of quality care. Objective: To analyze the perception of undergraduate nursing students in the province of Santa Elena, Ecuador, about simulation-based learning and its impact on their professional training. Methodology: This quantitative research, with a descriptive and inferential cross-sectional design, used an adapted and validated questionnaire, applied to 100 students. The instrument facilitated the collection of key information regarding their experiences and perceptions of simulation-based learning. Results: Seventy-seven percent and 7% of the students exhibited a neutral and negative perception of this methodology, respectively, which may reflect a perceived disconnection between the simulation and its purported benefits. Furthermore, 36% of respondents with prior experience indicated that their continued utilisation of the methodology could potentially impact their communication skills with patients. However, the confidence interval indicates that this impact may be negligible or non-existent. Conclusion: Although simulation-based learning is a primary tool for clinical learning, the results show the need for innovative strategies that optimise the development of competencies and improve their assessment among students. It is imperative to acknowledge the significance of customised approaches that are aligned with the specific requirements of the local context. These tailored methods are crucial not only as a desired enhancement but also as a grassroots strategy to optimise their impact in settings where resources are limited.