Congratulations to Kyu Min on his recent publications in Exploratory Research in Clinical and Social Pharmacy!
The article titled "Evaluating the effect of computer-based education on pharmacist behaviour regarding point-of-care testing" is an interdisciplinary collaboration with Rand Hussein, Nardine Nakhla, Rosemary Killeen and Kelly Grindrod from the School of Pharmacy, University of Waterloo.
Recent regulatory changes in Ontario have empowered pharmacists to conduct point-of-care testing (POCT) for managing chronic illnesses. Computer-based education (CBE) is available to enhance pharmacists' delivery of these expanded services. This study aims to refine the design of Pharmacy5in5, a fully online CBE platform intended to accelerate knowledge application and facilitate the adoption of best practices by Canadian pharmacy professionals. Kyu Min utilized various generalized linear models to evaluate the impact of CBE on improving pharmacists' knowledge of POCT and their satisfaction with the platform. They have consistent findings with other literature: CBE can improve pharmacists' short and long-term knowledge of POCTs but has minimal effect on their behaviour regarding the provision of POCTs.
Congratulations Kyu Min!
This project provided me with invaluable experience working with real-world controlled experiment data for the first time. One of the most significant advantages of being a statistician is the ability to apply analytical skills across diverse domains. Despite having no prior background in pharmacy or pharmacist training modules, I was able to engage with the project effectively and derive meaningful insights. Additionally, this experience was a good reminder of the versatility and interpretability of generalized linear models in capturing a wide range of relationships.
Kyu Min Shim
Kyu Min Shim is a first-year Ph.D. student at the Department of Statistics and Actuarial Science and is currently one of the graduate consultants at SCSRU. Kyu Min’s primary research includes developing statistical methodologies to design and analyze controlled experiments efficiently.