Background: COVID-19 education for the pharmacy workforce is important to ensure pharmacists are optimizing patient care for the prevention and management of COVID-19. However, there are currently no reports to our knowledge of education and training experiences for COVID-19 prevention and management in the Doctor of Pharmacy (PharmD) curricula.
Objective: To evaluate pharmacy students' knowledge and confidence regarding COVID-19 prevention and management before and after an interactive didactic class (IDC).
Methods: A multicenter, quasi-experimental, cross-sectional survey study was performed among pharmacy students before and after IDC on COVID-19 at two schools of pharmacy. The IDC on COVID-19 consisted of student-led presentations on a COVID-19 drug, an infectious disease pharmacist faculty-led interactive lecture on COVID-19 prevention and management, and clinical case vignettes to assess COVID-19 management strategies. An anonymous, voluntary, electronic survey was distributed to students ( = 85) before and after. The pre- and postintervention survey contained 10 COVID-19 knowledge-based questions and multi-step, 5-point Likert scale statements related to COVID-19 prevention and management confidence. The postintervention survey also evaluated students' perceptions of the COVID-19 IDC. Descriptive statistics were performed, and Student test was used to compare pre- and postintervention responses.
Results: About 61 surveys were completed resulting in a response rate of 72%. COVID-19 knowledge scores (mean ± SD) increased overall following the IDC (5.9 ± 1.31 vs 8.6 ± 1.29). Pharmacy students' COVID-19 confidence scores (mean ± SD) also improved following the IDC (2.66 ± 0.75 vs 4.03 ± 0.53). Students performed well on the COVID-19 clinical case vignettes with a mean ± SD score of 22.41 ± 0.46 out of 25. Pharmacy students' perceptions of the IDC on COVID-19 were also positive overall.
Conclusion: Pharmacy students' knowledge and confidence of COVID-19 prevention and management improved following an IDC. This may be an effective strategy to provide COVID-19 education during the PharmD curricula.
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http://dx.doi.org/10.1002/jac5.1678 | DOI Listing |
Ocul Immunol Inflamm
January 2025
Ocular Oncology Service, Institute of Oncology, Tecnologico de Monterrey, Monterrey, Mexico.
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Front Biosci (Landmark Ed)
January 2025
Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676 Athens, Greece.
Platelet aggregation and inflammation play a crucial role in atherothrombosis. Wine contains micro-constituents of proper quality and quantity that exert cardioprotective actions, partly through inhibiting platelet-activating factor (PAF), a potent inflammatory and thrombotic lipid mediator. However, wine cannot be consumed extensively due to the presence of ethanol.
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January 2025
Department of Orthopaedics, University of Utah, Salt Lake City, Utah, USA.
Background: Intraoperative hip capsule management is increasingly recognized as an important component of hip arthroscopy for the prevention of capsular-related instability. The periportal capsulotomy, relative to the interportal capsulotomy, has been proposed as a minimally invasive technique for decreasing postarthroscopy hip instability; however, the biomechanical effects of this technique are not well established.
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Br J Hosp Med (Lond)
January 2025
Department of Anaesthesia, Northumbria Healthcare NHS Foundation Trust, Newcastle-Upon-Tyne, UK.
Sodium-glucose cotransporter 2 (SGLT-2) inhibitors are commonly prescribed in diabetes mellitus and increasingly for cardiorenal protection. They carry the risk of euglycaemic diabetic ketoacidosis (eDKA). Guidelines around the perioperative handling of these medications are limited and some evidence suggests that withholding them can lead to more surgical complications and poorer glycaemic control.
View Article and Find Full Text PDFViruses
January 2025
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico.
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and resource-efficient manner, as wastewater samples are representative of all cases within the catchment area, whether they are clinically reported or not. However, analysis and interpretation of WBS datasets for decision-making during public health emergencies, such as the COVID-19 pandemic, remains an area of opportunity. In this article, a database obtained from wastewater sampling at wastewater treatment plants (WWTPs) and university campuses in Monterrey and Mexico City between 2021 and 2022 was used to train simple clustering- and regression-based risk assessment models to allow for informed prevention and control measures in high-affluence facilities, even if working with low-dimensionality datasets and a limited number of observations.
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