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dc.contributor.advisorMynatt, Elizabeth D.
dc.contributor.authorBidwell, Jonathan
dc.date.accessioned2018-08-20T15:35:50Z
dc.date.available2018-08-20T15:35:50Z
dc.date.created2018-08
dc.date.issued2018-06-05
dc.date.submittedAugust 2018
dc.identifier.urihttp://hdl.handle.net/1853/60240
dc.description.abstractEveryday life presents considerable challenges for people living with epilepsy. Many patients and caregivers struggle to adopt important epilepsy self-management behaviors due to the burden of data collection and reporting. New mobile health sensing and data input capabilities could provide opportunities for facilitating aspects of these patient and caregiver data collection needs, which in turn could better inform clinical decision making and patient self-reflection within the context of self-management. In this thesis, I present my findings from five research studies. I describe each set of findings in terms of both clinical applications for supporting patient care and technical implications for informing the design of pediatric mobile and wearable tools for supporting epilepsy self-management practices.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectEpilepsy
dc.subjectMobile
dc.subjectHealth-tracking
dc.subjectSelf-management
dc.subjectEcological momentary assessment (EMA)
dc.titleSupporting everyday self-management practices for pediatric patients with epilepsy
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentInteractive Computing
thesis.degree.levelDoctoral
dc.contributor.committeeMemberEscoffery, Cam
dc.contributor.committeeMemberArriaga, Rosa
dc.contributor.committeeMemberWilcox, Lauren
dc.contributor.committeeMemberKoh, Sookyong
dc.date.updated2018-08-20T15:35:50Z


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