Technology-Enabled Type-1 Diabetes Self-Management – Protection Motivation Theory Perspective

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dc.contributor.author Bozan, Karoly
dc.contributor.author Bozan, Gabriella
dc.date.accessioned 2023-12-26T18:40:50Z
dc.date.available 2023-12-26T18:40:50Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other eedf9df6-2b5a-4d95-beca-a317b3e82996
dc.identifier.uri https://hdl.handle.net/10125/106807
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject IT Adoption, Diffusion, and Evaluation in Healthcare
dc.subject protection motivation theory
dc.subject self-monitoring
dc.subject technology adoption
dc.subject type-1 diabetes
dc.subject utaut model
dc.title Technology-Enabled Type-1 Diabetes Self-Management – Protection Motivation Theory Perspective
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract There is a growing emphasis on technology-enabled self-management among patients with chronic conditions such as Type-1 (T1D) diabetes. Regular self-monitoring empowers individuals with Type-1 diabetes to actively participate in their care, make informed decisions, and adjust their treatment plans as needed. Mobile applications are available to support patients' efforts, yet many users do not utilize them to help manage their care. In this study, we integrated the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Protection-Motivation Theory (PMT). By integrating PMT into UTAUT, we can incorporate the motivational factors associated with health threat perception and protective behaviors specific to adolescent diabetes patients. PMT adds a layer of understanding by considering the perceptions of severity, vulnerability, response efficacy, and self-efficacy, along with reward and response cost. The collected responses to our survey among related m-health app users and non-users were analyzed using an independent 2-tailed t-test. The PMT constructs highlighted that T1D self-monitoring app users perceived their disease as more severe with higher self- and response efficacy but lower response cost. Non-users perceive T1D-related health threats differently and may have different coping mechanisms. Results, implications, and future research directions are discussed.
dcterms.extent 10 pages
prism.startingpage 3497
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