The effectiveness of video-based training of an electronic medical record system: An exploratory study on computer literate health workers in rural Uganda: Ändamålsenligheten hos videobaserad undervisning av ett elektroniskt patientjournalsystem: en explorativ studie av datorvana sjukvårdsarbetare på Ugandas landsbygd
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Aims The purpose of this study is to explore the possibilities for video-based learning of computer systems in the field of medical education in rural sub-Saharan Africa.
Background Low-income countries are forced to perform healthcare services with resources already spread too thin. The use of electronic medical records can increase the cost-effectiveness of delivering healthcare services, but the low computer literacy in sub-Saharan Africa is an obstacle necessary to overcome. E-learning and video-based learning has the potential to partially solve this problem.
Methods User observations were conducted on five healthcare workers in rural Uganda. The users watched an instruction video, after which they performed an assessment test of an electronic medical record system.
Results Some effectiveness was perceived – but it was slight, and varied greatly between the test subjects. Computer experience is an important prerequisite for the success of e-learning initiatives. Effectiveness was higher for more simple tasks.
Conclusion This paper does not propose video-based learning as the only source of training for the target group. However, there is a possibility to envision video-based learning as a building block in a blended-learning strategy – utilising video-based learning for easier tasks and knowledge retention for users who are already familiar with the system.
Place, publisher, year, edition, pages
Video-based learning, e-learning, sub-Saharan Africa, Uganda, ICT4D, Electronic medical records, EMR, User observation
Media and Communication Technology
IdentifiersURN: urn:nbn:se:kth:diva-169642OAI: oai:DiVA.org:kth-169642DiVA: diva2:823846
Master of Science in Engineering - Media Technology