RESUMEN
AIM: To describe undergraduate nursing students' clinical decision-making in post-procedural bleeding scenarios and explore the changes from the first to the final year of their program. BACKGROUND: Bleeding is a common complication following invasive procedures and its effective management requires nurses to develop strong clinical decision-making competencies. Although nursing education programs typically address bleeding complications, there is a gap in understanding how nursing students make clinical decisions regarding these scenarios. Additionally, little is known about how their approach to bleeding management evolves over the course of their education. DESIGN: Longitudinal mixed-methods study based on the Recognition-Primed Decision Model. METHODS: A total of 59 undergraduate students recorded their responses to two clinical decision-making vignettes depicting patients with signs of bleeding post-hip surgery (first year) and cardiac catheterization (final year). Their responses were analyzed using content analysis. The resulting categories capture the cues students noticed, the goals they aimed to achieve, the actions they proposed and their expectations for how the bleeding situations might unfold. Code frequencies showing the most variation between the first and final years were analyzed to explore changes in students' clinical decision-making. RESULTS: Nearly all students focused on two primary categories: 'Bleeding' and 'Instability and Shock.' Fewer students addressed six secondary categories: 'Stress and Concern,' 'Pain,' 'Lifestyle and Social History,' 'Wound Infection,' 'Arrhythmia,' and 'Generalities in Surgery.' Students often concentrated on actions to manage bleeding without further assessing its causes. Changes from the first to the final year included a more focused assessment of instability and shifts in preferred actions. CONCLUSIONS: This study reveals that nursing students often prioritize immediate actions to stop bleeding while sometimes overlooking the assessment of underlying causes or broader care goals. It suggests that concept-based learning and reflection on long-term outcomes could improve clinical decision-making in post-procedural care.
RESUMEN
PURPOSE: Simulation is often depicted as an effective tool for clinical decision-making education. Yet, there is a paucity of data regarding transfer of learning related to clinical decision-making following simulation-based education. The authors conducted a scoping review to map the literature regarding transfer of clinical decision-making learning outcomes following simulation-based education in nursing or medicine. METHOD: Based on the Joanna Briggs Institute methodology, the authors searched 5 databases (CINAHL, ERIC, MEDLINE, PsycINFO, and Web of Science) in May 2020 for quantitative studies in which the clinical decision-making performance of nursing and medical students or professionals was assessed following simulation-based education. Data items were extracted and coded. Codes were organized and hierarchized into patterns to describe conceptualizations and conditions of transfer, as well as learning outcomes related to clinical decision-making and assessment methods. RESULTS: From 5,969 unique records, 61 articles were included. Only 7 studies (11%) assessed transfer to clinical practice. In the remaining 54 studies (89%), transfer was exclusively assessed in simulations that often included one or more variations in simulation features (e.g., scenarios, modalities, duration, and learner roles; 50, 82%). Learners' clinical decision-making, including data gathering, cue recognition, diagnoses, and/or management of clinical issues, was assessed using checklists, rubrics, and/or nontechnical skills ratings. CONCLUSIONS: Research on simulation-based education has focused disproportionately on the transfer of learning from one simulation to another, and little evidence exists regarding transfer to clinical practice. The heterogeneity in conditions of transfer observed represents a substantial challenge in evaluating the effect of simulation-based education. The findings suggest that 3 dimensions of clinical decision-making performance are amenable to assessment-execution, accuracy, and speed-and that simulation-based learning related to clinical decision-making is predominantly understood as a gain in generalizable skills that can be easily applied from one context to another.