Optimising web-based computer-tailored physical activity interventions for prostate cancer survivors: A randomised controlled trial examining the impact of website architecture on user engagement
journal contribution
posted on 2021-03-30, 03:26 authored by Amy Finlay, Holly Evans, Andrew F Vincent, Gary Wittert, Corneel VandelanotteCorneel Vandelanotte, Camille E ShortBackground: Web-based computer-tailored interventions can assist prostate cancer survivors to become more physically active by providing personally relevant behaviour change support. This study aimed to explore how changing the website architecture (free choice vs. tunnelled) impacted engagement within a physical activity computer-tailored intervention targeting prostate cancer survivors. Methods: On a 2:2:1 ratio, 71 Australian prostate cancer survivors with local or locally advanced disease (mean age: 66.6 years ± 9.66) were randomised into either a free-choice (N = 27), tunnelled (N = 27) or minimal intervention control arm (N =17). The primary outcome was differences in usage of the physical activity self-monitoring and feedback modules between the two intervention arms. Differences in usage of other website components between the two intervention groups were explored as secondary outcomes. Further, secondary outcomes involving comparisons between all study groups (including the control) included usability, personal relevance, and behaviour change. Results: The average number of physical activity self-monitoring and feedback modules accessed was higher in the tunnelled arm (M 2.6 SD 1.3) compared to the free-choice arm (M 1.5 SD 1.4), p = 0.01. However, free-choice participants were significantly more likely to have engaged with the social support (p = 0.008) and habit formation (p = 0.003) ‘once-off’ modules compared to the standard tunnelled arm. There were no other between-group differences found for any other study outcomes. Conclusion: This study indicated that website architecture influences behavioural engagement. Further research is needed to examine the impact of differential usage on mechanisms of action and behaviour change. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Volume
17Issue
21Start Page
1End Page
21Number of Pages
21eISSN
1660-4601ISSN
1661-7827Location
SwitzerlandPublisher
MDPIPublisher License
CC BYPublisher DOI
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Additional Rights
CC BY 4.0Language
engPeer Reviewed
- Yes
Open Access
- Yes
Acceptance Date
2020-10-27External Author Affiliations
University of AdelaideAuthor Research Institute
- Appleton Institute
Era Eligible
- Yes
Medium
ElectronicJournal
International Journal of Environmental Research and Public HealthArticle Number
7920Usage metrics
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