Objectives: To evaluate the impact of eLearning by allied health professionals on improving the knowledge and confidence to manage people with medically unexplained chronic fatigue states (FS).
Methods: Using a parallel randomized controlled trial design, participants were randomized 1:1 to a 4-week eLearning or wait-list control group. Knowledge and self-reported confidence in clinical skills to implement a therapeutic intervention for patients with FS were assessed at baseline, post-intervention and follow-up. Secondary outcomes (adherence and satisfaction with online education, knowledge retention) were also assessed. Data was analyzed using intention-to-treat.
Results: There were 239 participants were randomized (eLearning n = 119, control n = 120), of whom 101 (85%) eLearning and 107 (89%) control participants completed baseline assessments and were included in the analysis. Knowledge (out of 100) improved significantly more in the eLearning group compared to the control group [mean difference (95% CI) 8.6 (5.9 to 11.4), p < 0.001]. Knowledge was reduced in the eLearning group at follow-up but was still significantly higher than baseline [6.0 (3.7 to 8.3), p < 0.001]. Median change (out of 5) in confidence in clinical skills to implement the FS intervention was also significantly greater in the eLearning group compared to the control group [knowledge: eLearning (1.2), control (0); clinical skills: eLearning (1), control (0.1); both p < 0.001)]. Average time spent on the eLearning program was 8.8 h. Most participants (80%) rated the lesson difficulty as at the "right level", and 91% would recommend it to others.
Conclusions: eLearning increased knowledge and confidence to manage FS amongst allied health professionals and was well-accepted.
Registration: ACTRN12616000296437 https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370222&isReview=true.
Keywords: Cancer-related fatigue; Chronic fatigue syndrome; Cognitive behavioural therapy; Graded exercise therapy; Post-infective fatigue; eLearning.
Copyright © 2023. Published by Elsevier Inc.