{"id":{"repo_id":"gatech","oai_identifier":"oai:repository.gatech.edu:1853/60240"},"canonical_url":"https://search.dev.ndltd.org/etd/gatech/oai:repository.gatech.edu:1853/60240","repository":{"repo_id":"gatech","name":"Georgia Tech","base_url":"https://repository.gatech.edu/server/oai/request"},"display":{"title":"Supporting everyday self-management practices for pediatric patients with epilepsy","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Bidwell, Jonathan"],"institution":"Georgia Institute of Technology","degree_name":null,"degree_level":"Doctoral","degree_discipline":null,"degree_department":"Interactive Computing","school":null,"contributors":[],"advisors":["Mynatt, Elizabeth D."],"committee_chairs":[],"committee_members":["Escoffery, Cam","Arriaga, Rosa","Wilcox, Lauren","Koh, Sookyong"],"year":2018,"date_issued":"2018-06-05","date_published":"2018-06-05","updated_at":"2026-07-27T19:50:47Z","subjects":["Epilepsy","Mobile","Health-tracking","Self-management","Ecological momentary assessment (EMA)"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1853/60240","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Mynatt, Elizabeth D."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Escoffery, Cam","Arriaga, Rosa","Wilcox, Lauren","Koh, Sookyong"]},{"key":"dc:contributor.department","label":"Department","values":["Interactive Computing"]},{"key":"dc:creator","label":"Author","values":["Bidwell, Jonathan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-08-20T15:35:50Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-08-20T15:35:50Z"]},{"key":"dc:date.issued","label":"Date","values":["2018-06-05"]},{"key":"dc:publisher","label":"Institution","values":["Georgia Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Text"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Doctoral"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Epilepsy","Mobile","Health-tracking","Self-management","Ecological momentary assessment (EMA)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1853/60240"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Ph.D."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Supporting everyday self-management practices for pediatric patients with epilepsy"]}]}],"canonical_facts":{"dc:contributor.advisor":["Mynatt, Elizabeth D."],"dc:contributor.committeemember":["Escoffery, Cam","Arriaga, Rosa","Wilcox, Lauren","Koh, Sookyong"],"dc:contributor.department":["Interactive Computing"],"dc:creator":["Bidwell, Jonathan"],"dc:date.accessioned":["2018-08-20T15:35:50Z"],"dc:date.available":["2018-08-20T15:35:50Z"],"dc:date.issued":["2018-06-05"],"dc:description.abstract":["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."],"dc:description.degree":["Ph.D."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/1853/60240"],"dc:language.iso":["en_US"],"dc:publisher":["Georgia Institute of Technology"],"dc:subject":["Epilepsy","Mobile","Health-tracking","Self-management","Ecological momentary assessment (EMA)"],"dc:title":["Supporting everyday self-management practices for pediatric patients with epilepsy"],"dc:type":["Text"],"thesis:degree_level":["Doctoral"]},"updated_at":"2026-07-27T19:50:47Z"}