Saudi Cultural Missions Theses & Dissertations
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Item Restricted The Impact of High-Fidelity Simulation on Undergraduate Nursing students Performing Safe Medication Administration: A Systematised Review(Saudi Digital Library, 2023-08-01) Alaklabi, Azzah; McCallum, LouiseBackground: Medication errors pose a significant risk to patient safety, highlighting the importance of well-trained nursing students. High-fidelity simulation has emerged as an effective teaching method in medication administration. However, due to variations in fidelity levels across reviewed studies and a focus on healthcare professionals in recent review, this review aims to assess the impact of HFS on the knowledge, competence, and confidence of undergraduate nursing students in performing safe medication administration. Methods: Following PRISMA guidelines, searches were conducted in CINAHL, MEDLINE, Scopus, and ERIC databases for peer-reviewed publications between 2012 and 2023. Specific keywords and inclusion/exclusion criteria were used to identify quantitative studies. Methodological quality was assessed using JBI tools, and findings were synthesised narratively. Results: A total of 148 studies, only seven studies were included. Synthesis of the data consistently demonstrated improvement in knowledge (p = 0.02-0.07), competence (p = 0.00- 0.66), and confidence (p = 0.04-0.96). Compared to control groups, students in the intervention groups achieved higher scores. However, the included studies had lower to moderate quality, limiting generalizability. Conclusion: High-fidelity simulation is a valuable approach for enhancing the knowledge, competence, and confidence of nursing students in medication administration. The findings provide important guidance for effective teaching practices. Further research is needed to improve the quality of evidence by using more robust methodologies. Additionally, future studies should investigate cost-effectiveness, develop reliable measurement tools, and determine the optimal duration for simulation sessions. Dissemination: The findings will be published in high-impact nursing education journals such as the "Journal of Nursing Education '' and presented as e-posters at the Saudi Conference for Health Simulation12 0Item Restricted PHARMACOKINETIC AND PHARMACODYNAMIC MODELING FOR OPTIMIZING COMBINATION THERAPY(Saudi Digital Library, 2023) Almoslem, Mohammed; Schmidt, StephanThis dissertation highlights the application of model-informed drug development approaches to optimize combination (chemo)therapy. Chapter 1 provides a general overview of pharmacokinetic (PK) / pharmacodynamic (PD) concepts used to characterize the relationship between drug exposure and desired as well as undesired pharmacodynamic effect(s) by highlighting key processes along the causal pathway between drug administration and effect. Chapter 2 expands on the concepts outlined for a single drug in Chapter 1 to two-drug regimens in order to be able to characterize and predict the effect of combination (chemo)therapy. These 2 introductory chapters are followed by distinct preclinical (Chapter 3 and Chapter 4) and clinical (Chapter 5) case examples that showcase PK/PD approaches used to identify optimal combination (chemo)therapy regimens. Chapter 3 and Chapter 4 focus on anti-infective applications, where in vitro data is used to identify optimal two-drug regimens against Mycobacterium tuberculosis in different metabolic states (Chapter 3), and three-drug regimens against Mycobacterium tuberculosis in non-human primates were examined (Chapter 4). Chapter 5 focuses on a clinical application in preterm neonates. An innovative time-to-event analysis is used in this chapter to identify optimal ibuprofen/acetaminophen combination regimens to expedite ductus arteriosus closure in this vulnerable special patient population. Finally, Chapter 6 summarizes the knowledge gained from these projects, highlighting the application of PKPD modeling in optimizing treatment regimens and identifying optimal drug combinations across diverse therapeutic areas and stages of drug development. The findings presented in this dissertation are intended to assist researchers and clinicians in improving treatment outcomes, particularly in complex conditions requiring combination therapy.30 0