E-Learning in Pharmacovigilance: An Evaluation of Microlearning-Based Modules Developed by Uppsala Monitoring Centre

Introduction An increasing global need for pharmacovigilance training cannot be met with classroom courses alone. Several e-learning modules have been developed by Uppsala Monitoring Centre (UMC). With distance learners and technological challenges such as poor internet bandwidth to be considered, UMC opted for the microlearning approach based on small learning units connected to specific learning objectives. The aim of this study was to evaluate how this e-learning course was received. Methods The course was evaluated through usage data and the results of two user surveys, one for modules 1–4, signal detection and causality assessment, and the other for module 5, statistical reasoning and algorithms in pharmacovigilance. The evaluation model used was based on the Unified Theory of Acceptance and Use of Technology (UTAUT). A questionnaire was developed, divided into demographic profile, performance expectancy, effort expectancy, educational compatibility and behavioural intention. The two surveys were disseminated to 2067 learners for modules 1–4 and 1685 learners for module 5. Results Learners from 137 countries participated, predominantly from industry (36.6%), national pharmacovigilance centres (22.6%) and academia (16.3%). The overall satisfaction level was very high for all modules, with over 90% of the learners rating it as either ‘excellent’ or ‘good’. The majority were satisfied with the learning platform, the course content and the lesson duration. Most learners thought they would be able to apply the knowledge in practice. Almost 100% of the learners would recommend the modules to others and would also study future modules. Suggested improvements were an interactive forum, more practical examples in the lessons and practical exercises. Conclusion This e-learning course in pharmacovigilance based on microlearning was well received with a global coverage among relevant professional disciplines.