Accelerating digital health literacy for the treatment of growth disorders: The impact of a massive open online course

Autor: Paul Dimitri, Luis Fernandez-Luque, Ekaterina Koledova, Shwetambara Malwade, Shabbir Syed-Abdul
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Public Health, Vol 11 (2023)
Druh dokumentu: article
ISSN: 2296-2565
DOI: 10.3389/fpubh.2023.1043584
Popis: BackgroundGrowth hormone deficiency (GHD) is a rare disorder characterized by inadequate secretion of growth hormone (GH) from the anterior pituitary gland. One of the challenges in optimizing GH therapy is improving adherence. Using digital interventions may overcome barriers to optimum treatment delivery. Massive open online courses (MOOCs), first introduced in 2008, are courses made available over the internet without charge to a large number of people. Here, we describe a MOOC aiming to improve digital health literacy among healthcare professionals managing patients with GHD. Based on pre- and post-course assessments, we evaluate the improvement in participants’ knowledge upon completion of the MOOC.MethodsThe MOOC entitled ‘Telemedicine: Tools to Support Growth Disorders in a Post-COVID Era’ was launched in 2021. It was designed to cover 4 weeks of online learning with an expected commitment of 2 h per week, and with two courses running per year. Learners’ knowledge was assessed using pre- and post-course surveys via the FutureLearn platform.ResultsOut of 219 learners enrolled in the MOOC, 31 completed both the pre- and post-course assessments. Of the evaluated learners, 74% showed improved scores in the post-course assessment, resulting in a mean score increase of 21.3%. No learner achieved 100% in the pre-course assessment, compared with 12 learners (40%) who achieved 100% in the post-course assessment. The highest score increase comparing the pre- and the post-course assessments was 40%, observed in 16% of learners. There was a statistically significant improvement in post-course assessment scores from 58.1 ± 18.9% to 72.6 ± 22.4% reflecting an improvement of 14.5% (p
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