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dc.contributor.authorBradway, Meghan
dc.contributor.authorPfuhl, Gerit
dc.contributor.authorJoakimsen, Ragnar Martin
dc.contributor.authorRibu, Lis
dc.contributor.authorGrøttland, Astrid
dc.contributor.authorÅrsand, Eirik
dc.date.accessioned2018-10-25T06:55:51Z
dc.date.available2018-10-25T06:55:51Z
dc.date.issued2018-08-30
dc.description.abstract<p><i>Background</i>: The Introduction of mobile health (mHealth) devices to health intervention studies challenges us as researchers to adapt how we analyse the impact of these technologies. For interventions involving chronic illness self-management, we must consider changes in behaviour in addition to changes in health. Fortunately, these mHealth technologies can record participants’ interactions via usage-logs during research interventions.</p> <p><i>Objective</i>: The objective of this paper is to demonstrate the potential of analysing mHealth usage-logs by presenting an in-depth analysis as a preliminary study for using behavioural theories to contextualize the user-recorded results of mHealth intervention studies. We use the logs collected by persons with type 2 diabetes during a randomized controlled trial (RCT) as a use-case.</p> <p><i>Methods</i>: The Few Touch Application was tested in a year-long intervention, which allowed participants to register and review their blood glucose, diet and physical activity, goals, and access general disease information. Usage-logs, i.e. logged interactions with the mHealth devices, were collected from participants (n = 101) in the intervention groups. HbA1c was collected (baseline, 4- and 12-months). Usage logs were categorized into registrations or navigations.</p> <p><i>Results</i>: There were n = 29 non-mHealth users, n = 11 short-term users and n = 61 long-term users. Non-mHealth users increased (+0.33%) while Long-term users reduced their HbA1c (-0.86%), which was significantly different (P = .021). Long-term users significantly decreased their usage over the year (P < .001). K-means clustering revealed two clusters: one dominated by diet/exercise interactions (n = 16), and one dominated by BG interactions and navigations in general (n = 40). The only significant difference between these two clusters was that the first cluster spent more time on the goals functionalities than the second (P < .001).</p> <p><i>Conclusion</i>: By comparing participants based upon their usage-logs, we were able to discern differences in HbA1c as well as usage patterns. This approach demonstrates the potential of analysing usage-logs to better understand how participants engage during mHealth intervention studies.en_US
dc.descriptionThe following article, Bradway, M., Pfuhl, G., Joakimsen, R., Ribu, L., Grøttland, A. & Årsand, E. (2018). Analysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management tools. <i>PLoS ONE</i>, 13(8). https://doi.org/10.1371/journal.pone.0203202, can be accessed at <a href=https://doi.org/10.1371/journal.pone.0203202> https://doi.org/10.1371/journal.pone.0203202</a>.en_US
dc.identifier.citationBradway, M., Pfuhl, G., Joakimsen, R., Ribu, L., Grøttland, A. & Årsand, E. (2018). Analysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management tools. PLoS ONE, 13(8). https://doi.org/10.1371/journal.pone.0203202en_US
dc.identifier.cristinIDFRIDAID 1606110
dc.identifier.doi10.1371/journal.pone.0203202
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/10037/14033
dc.language.isoengen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.ispartofBradway, M. (2021). mHealth: opportunities and challenges for diabetes intervention research. (Doctoral thesis). <a href=https://hdl.handle.net/10037/20544>https://hdl.handle.net/10037/20544</a>
dc.relation.journalPLoS ONE
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/IKTPLUSS/247974/Norway/Full Flow of Health Data Between Patients and Health Care Systems//en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Medical disciplines: 700::Health sciences: 800en_US
dc.subjectVDP::Medisinske Fag: 700::Helsefag: 800en_US
dc.titleAnalysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management toolsen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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