ECEESPE2025 Poster Presentations MTEabolism, Nutrition and Obesity (125 abstracts)
1University of Birmingham, Birmingham, United Kingdom; 2New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom; 3Russell Hall Hospital, Dudley Group NHS Foundation Trust, Dudley, United Kingdom; 4Queen Elizabeth Hospital Birmingham, University Hospitals NHS Foundation Trust, Birmingham, United Kingdom; 5Heartlands Hospital, University Hospitals NHS Foundation Trust, Birmingham, United Kingdom; 6Royal Glamorgan Hospital, Wales, United Kingdom; 7Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom; 8Sandwell and West Birmingham NHS Foundation Trust, Birmingham, United Kingdom
JOINT1530
Background: The growing prevalence of lipid-related diseases poses a significant challenge to global health, underscoring the need for innovative educational strategies to upskill healthcare professionals in managing these conditions. Simulation via Instant Messaging for Bedside Application (SIMBA) is a novel simulation-based learning (SBL) model that has effectively enhanced healthcare professionals confidence in managing diverse medical scenarios. By simulating real-world clinical situations, SIMBA provides an interactive platform for participants to develop and refine essential clinical skills.
Objectives: 1. Evaluate the effectiveness of the SIMBA model in improving participants confidence in managing lipid-related diseases.
2. Assess the clinical performance of healthcare professionals during simulations of lipid-related disease scenarios.
3. Determine the applicability of the SIMBA model as an educational tool for lipid disease training.
Methods: This mixed-methods study collected and analysed both qualitative and quantitative data. It was conducted in the UK from June to November 2024. The SIMBA model facilitated SBL sessions on five topics: Familial Hypercholesterolemia, Secondary Prevention of Cardiovascular Disease through Lipid Control, Chylomicronemia Syndrome, Acute Triglyceridemia, and Alström Syndrome. Healthcare professionals interested in lipid disorders were invited to participate, and those who completed both pre- and post-SIMBA surveys were included in the analysis. Statistical analysis was performed in STATA version 17.0. Changes in confidence to manage lipid-related pathology were measured using pre- and post-SIMBA surveys. Participant interactions during simulations were evaluated using an adapted Global Rating Scale approved by subject matter experts.
Results: Thirty participants completed both surveys and were included in the analysis. Confidence levels improved significantly after the sessions (pre-simulation vs post-simulation: 24.3% vs 94.7%; P < 0.01). Median scores out of 5 for core clinical competencies were as follows: history-taking (4.0), examination (3.9), investigation (3.8), result interpretation (2.5), clinical judgment (3.7), and management (3.4). 93.3% of participants deemed the sessions applicable to their clinical practice, with 73.4% rating them as excellent. Additionally, over 90% found the content impactful professionally and personally, facilitating effective knowledge translation into patient care.
Conclusion: The SIMBA model significantly enhanced healthcare professionals confidence and clinical competencies in managing lipid-related diseases. Notably, gaps in interpreting diagnostic test results were identified, highlighting the need for targeted educational interventions. The SBL approach was well-received and considered highly applicable to clinical practice. Further studies are warranted to explore the models long-term impacts and broader applicability to lipid disease management and education.