Abstract
Issue addressed:
Evaluated the impact of Understanding Multiple Sclerosis (MS) massive open online course, which was intended to increase understanding and awareness about MS, on self-reported health behaviour change.
Methods:
Observational cohort study evaluating pre- (baseline) and post-course (8-10-week follow-up) survey data. The main study outcomes were self-reported health behaviour change, change type and measurable improvement. We also collected participant characteristic data (eg, age, physical activity). We compared participants who reported health behaviour change at follow-up to those who did not and compared those who improved with those who did not using chi square and t tests. Participant characteristics, change types and change improvement were described descriptively.
Results:
A total of N = 560 course completers were included in this study. The study cohort included MS community members (eg, people with MS, health care providers) and nonmembers. Two hundred and forty-seven (44.1%) reported behaviour change in ≥1 area at follow-up, 160 (64.8%) reported a measurable change and, of these, 109 (68.1%) showed improvement. Participants who reported a change and those who improved had significantly lower precourse health behaviours and characteristics (eg, quality of life, diet quality). The most reported change types were knowledge, exercise/physical activity, diet and care practice.
Conclusion:
Understanding MS encourages health behaviour change among course completers, primarily through the provision of information and goal-setting activities and discussions.
So what?
An online education intervention can effectively encourage health behaviour change over an 8-10-week follow-up period. Information provision, including both scientific evidence and lived experience, and goal-setting activities and discussions are the primary mechanisms underpinning that change.
| Original language | English |
|---|---|
| Pages (from-to) | 768-778 |
| Journal | Health Promotion Journal of Australia |
| Volume | 33 |
| Issue number | 3 |
| Early online date | 13 Dec 2021 |
| DOIs | |
| Publication status | Published - Jul 2022 |
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