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dc.contributor.author
Stanger, Catherine
dc.contributor.author
Kowatsch, Tobias
dc.contributor.author
Xie, Haiyi
dc.contributor.author
Nahum-Shani, Inbal
dc.contributor.author
Lim-Liberty, Frances
dc.contributor.author
Anderson, Molly
dc.contributor.author
Santhanam, Prabhakaran
dc.contributor.author
Kaden, Sarah
dc.contributor.author
Rosenberg, Briana
dc.date.accessioned
2021-03-01T05:46:32Z
dc.date.available
2021-02-28T04:44:36Z
dc.date.available
2021-03-01T05:46:32Z
dc.date.issued
2021-02
dc.identifier.issn
1929-0748
dc.identifier.other
10.2196/27109
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/472060
dc.identifier.doi
10.3929/ethz-b-000472060
dc.description.abstract
Background: Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control. Few interventions, however, have been developed specifically for this age group. Objective: In this randomized trial, we will provide a mobile app (SweetGoals) to all participants as a “core” intervention. The app prompts participants to upload data from their diabetes devices weekly to a device-agnostic uploader (Glooko), automatically retrieves uploaded data, assesses daily and weekly self-management goals, and generates feedback messages about goal attainment. Further, the trial will test two unique intervention components: (1) incentives to promote consistent daily adherence to goals, and (2) web health coaching to teach effective problem solving focused on personalized barriers to self-management. We will use a novel digital direct-to-patient recruitment method and intervention delivery model that transcends the clinic. Methods: A 2x2 factorial randomized trial will be conducted with 300 young adults ages 19-25 with type 1 diabetes and (Hb)A1c ≥ 8.0%. All participants will receive the SweetGoals app that tracks and provides feedback about two adherence targets: (a) daily glucose monitoring; and (b) mealtime behaviors. Participants will be randomized to the factorial combination of incentives and health coaching. The intervention will last 6 months. The primary outcome will be reduction in A1c. Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes. Participants will complete 6- and 12-month follow-up assessments. We hypothesize greater sustained A1c improvements in participants who receive coaching and who receive incentives compared to those who do not receive those components. Results: Data collection is expected to be complete by February 2025. Analyses of primary and secondary outcomes are expected by December 2025. Conclusions: Successful completion of these aims will support dissemination and effectiveness studies of this intervention that seeks to improve glycemic control in this high-risk and understudied population of young adults with T1D.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
JMIR Publications Inc.
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Digital Health Intervention
en_US
dc.subject
conversational agent
en_US
dc.subject
diabetes
en_US
dc.subject
blended treatment
en_US
dc.title
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2021-02-23
ethz.journal.title
JMIR Research Protocols
ethz.journal.volume
10
en_US
ethz.journal.issue
2
en_US
ethz.pages.start
e27109
en_US
ethz.size
19 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Toronto
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03681 - Fleisch, Elgar / Fleisch, Elgar
en_US
ethz.date.deposited
2021-02-28T04:44:48Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-03-01T05:46:59Z
ethz.rosetta.lastUpdated
2021-03-01T05:46:59Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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