NURS FPX 6112 Assessment 2 Evaluation of a Virtual Simulation Scenario

NURS FPX 6112 Assessment 2 Evaluation of a Virtual Simulation Scenario Name Capella university NURS-FPX6112 Technology Integration for Nursing Education Prof. Name Date Evaluation of a Virtual Simulation Scenario This paper evaluates the Sentinel U virtual simulation, featuring Evan Wright, a patient with Type 2 diabetes mellitus. The simulation is designed to help nursing students improve their clinical reasoning and decision-making skills in a safe, virtual setting. It integrates key components of nursing education, including physical assessment, pharmacology, and pathophysiology. The evaluation examines the simulation’s content, structure, ease of use, and educational value. Introduction The selected simulation is the Sentinel U virtual case study that deals with Evan Wright, a 40-year-old male patient with Type 2 diabetes mellitus. This simulation takes place in a teaching environment within a nursing curriculum. It is used in nursing educational practice, where students can apply clinical reasoning and decision-making skills. The target audience will be nursing undergraduate and graduate students who will be prepared to work in a clinical environment. The simulation enables practicing patient cases within a virtual environment, allowing instruction to be conducted in a safe and risk-free setting. The simulation fosters critical thinking in students across various areas, including physical assessment, pharmacology, and pathophysiology. Students review patient histories, summarize the information, interpret laboratory data, and develop a plan of care. They also learn how to identify social and health-related issues and assess care delivery. The case is an excellent example of how chronic diseases, such as diabetes, can affect an entire body system. NURS FPX 6112 Assessment 2 Evaluation of a Virtual Simulation Scenario This simulation adheres to the constructivist learning theory, which emphasizes participation and learning through hands-on experiences. In this model, students develop knowledge by solving real-life situations (Do et al., 2023). The Evan Wright case puts learners in a clinical scenario that is as realistic as it gets, one in which they must apply their knowledge to treat a complex patient. This practical education enhances memories, comprehension, and confidence. It also serves to make students relate theory and practice. By practicing in this safe and guided environment, students improve their skills before caring for real patients. Physical assessment The Evan Wright simulation includes physical assessment techniques through detailed questions, patient responses, and clinical findings. Students collect both subjective and objective data to understand the patient’s condition. The scenario guides students through symptoms such as leg pain, tingling, swelling, and poor circulation. It also presents visual and verbal cues to help students recognize abnormal signs. These include cool skin, non-healing wounds, and signs of poor perfusion, which are typical in patients with diabetic complications. The simulation is accurate and realistic because it reflects what nurses often see in patients with unmanaged diabetes and vascular issues. The patient’s history, symptoms, and living situation are presented in a way that feels true to life. This helps them improve their ability to make clinical decisions based on assessment data. The integration of physical assessment in the simulation improves learning outcomes by encouraging active thinking and clinical reasoning. For example, students must decide what findings suggest impaired circulation and how those findings affect care planning. This hands-on approach supports the experiential learning theory by Kolb. This theory focuses on learning through doing and reflection (Meijer et al., 2022). Students are not just reading about symptoms; they are applying their knowledge in a safe and realistic setting. This method builds their confidence and prepares them to recognize similar issues in real patients. It also teaches the importance of detailed and accurate assessments in managing chronic illnesses. Pharmacology The simulation integrates pharmacological principles by presenting medication history, current prescriptions, and patient responses. Evan Wright was previously prescribed metformin for Type 2 Diabetes but had not taken it for eight months. As part of the simulation, students must assess the impact of medication non-adherence and its link to poor blood glucose control. The simulation also introduces Cilostazol, a medication used to treat peripheral vascular disease (PVD), which is appropriate for the patient’s condition (Balinski & Preuss, 2023). Cilostazol is correctly chosen based on the patient’s symptoms of claudication, poor circulation, and underlying diabetes. The drug helps improve blood flow by inhibiting platelet aggregation and increasing vasodilation (Balinski & Preuss, 2023). This is an appropriate pharmacologic choice for a patient with PVD, especially one with no known allergies and a history of smoking and high blood glucose. The dose of 100 mg twice daily matches current clinical guidelines for adults with intermittent claudication (Balinski & Preuss, 2023). The simulation does not include dosage calculations, but it provides sufficient information for students to understand the purpose and effects of the prescribed drugs. It also prompts students to consider side effects, such as headaches and palpitations, which supports a deeper understanding of medication safety. Evidence-Based Theory: This simulation supports Bloom’s Taxonomy by engaging students in higher-level thinking, such as analyzing drug actions and evaluating treatment plans (Chandio et al., 2021). It encourages learners to move beyond memorization by applying knowledge in realistic clinical scenarios. Students are challenged to synthesize patient data, assess priorities, and make informed decisions. This promotes deeper understanding and long-term retention of complex concepts. As a result, learners develop stronger clinical judgment and are better prepared for real-world nursing practice. Pathophysiology Evan Wright’s simulation is successful in incorporating the disease systems because it is explicitly demonstrated that the uncontrolled Type 2 Diabetes will cause severe complications. The simulation associates peripheral vascular disease and peripheral neuropathy with chronic hyperglycemia. These conditions are characterized by more realistic symptoms, including leg pain, tingling, poor circulation, and slow wound healing. This helps demonstrate the importance of glycemic control in preventing the development of long-term complications. Lab results and patient history explain the pathophysiology of diabetes. For example, when HbA1c is above 9 percent, it indicates ineffective control of blood sugar over several months. The critical level is directly related to the patient’s aggravated symptoms. Physical marks of suboptimal perfusion, which are present in the simulation, include weak pulses and