Supporting everyday self-management practices for pediatric patients with epilepsy

Everyday 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.

Level thesis:degree_level

Doctoral

Department dc:contributor.department

Interactive Computing

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Bidwell, Jonathan

Advisor dc:contributor.advisor

• Mynatt, Elizabeth D.

Committee members dc:contributor.committeemember

• Escoffery, Cam
• Arriaga, Rosa
• Wilcox, Lauren
• Koh, Sookyong

• Epilepsy
• Mobile
• Health-tracking
• Self-management
• Ecological momentary assessment (EMA)

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1853/60240

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/60240