While the effects of simulation education and the importance of the clinical reasoning process have been well-reported, an acute myelocytic leukemia (AML) patient-care simulation program has yet to be formulated exclusively for the clinical experience of students. This study developed and subsequently applied a simulation program based on clinical reasoning for AML to improve the learning outcomes and describe the learning experience for nursing students. Following a mixed-methods framework, the program’s effects on students’ knowledge were quantitatively measured, while their learning experience was qualitatively measured using self-reflection through journal writing. Differences in the pre- and post-scores between the experimental and control groups were statistically significant for theoretical knowledge and clinical performance. In addition, content analysis of both groups’ journals revealed three themes: (1) transformation into a self-directed learner for understanding the clinical situation, (2) increased awareness of clinical reasoning ability, and (3) embodiment of the clinical reasoning process. Standardizing the developed program’s scenarios prompted the participants’ compliance and engagement, and effectively achieved the learning outcomes. This simulation program aided the assessment of nursing intervention’s effectiveness and suggested objective criteria according to clinical reasoning. Similar programs involving other clinical cases, not exclusive to leukemia, should be developed and evaluated.
Simulations using virtual patients have been utilized as an effective method in nursing education. However, keyword network analyses and topic modeling on simulations using virtual patients in nursing education have not yet been performed. In this study, 213 articles were retrieved from online research article databases. Abstracts from these articles were extracted, and network analysis was conducted using NetMiner version 4.3 (Cyram Inc, Seongnam, South Korea). Based on the study's analysis, scenario, communication, system, assessment, person, disaster, and management were identified as the keywords with high centrality values. Therefore, they were determined to be influential in the network. After topic modeling, 10 topics were derived as dementia care competency, pain assessment, airway placement management, operating procedure, presence and satisfaction, communication and attitude improvement, platform world, disaster response, game and video usability, and system for confidence. The identified trends in this study will help grasp the trends and insight to guide future research directions on simulations using virtual patients in nursing education.
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