{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T00:49:47Z","timestamp":1789001387449,"version":"build-2803163510"},"reference-count":31,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Res Protoc"],"abstract":"\n Background<\/jats:title>\n Epilepsy is a chronic neurological disorder affecting individuals globally, marked by recurrent and apparently unpredictable seizures that pose significant challenges, including increased mortality, injuries, and diminished quality of life. Despite advancements in treatments, a significant proportion of people with epilepsy continue to experience uncontrolled seizures. The apparent unpredictability of these events has been identified as a major concern for people with epilepsy, highlighting the need for innovative seizure forecasting technologies.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n The ATMOSPHERE study aimed to develop and evaluate a digital intervention, using wearable technology and data science, that provides real-time, individualized seizure forecasting for individuals living with epilepsy. This paper reports the protocol for one of the workstreams focusing on the design and testing of a prototype to capture real-time input data needed for predictive modeling. The first aim was to collaboratively design the prototype (work completed). The second aim is to conduct an \u201cin-the-wild\u201d study to assess usability and refine the prototype (planned research).<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n This study uses a person-based approach to design and test the usability of a prototype for real-time seizure precipitant data capture. Phase 1 (work completed) involved co-design with individuals living with epilepsy and health care professionals. Sessions explored users\u2019 requirements for the prototype, followed by iterative design of low-fidelity, static prototypes. Phase 2 (planned research) will be an \u201cin-the-wild\u201d usability study involving the deployment of a mid-fidelity, functional prototype for 4 weeks, with the collection of mixed methods usability data to assess the prototype\u2019s real-world application, feasibility, acceptability, and engagement. This phase involves primary participants (adults diagnosed with epilepsy) and, optionally, their nominated significant other. The usability study will run in 3 rounds of deployment and data collection, aiming to recruit 5 participants per round, with prototype refinement between rounds.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The phase-1 co-design study engaged 22 individuals, resulting in the development of a mid-fidelity, functional prototype based on identified requirements, including the tracking of evidence-based and personalized seizure precipitants. The upcoming phase-2 usability study is expected to provide insights into the prototype\u2019s real-world usability, identify areas for improvement, and refine the technology for future development. The estimated completion date of phase 2 is the last quarter of 2024.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The ATMOSPHERE study aims to make a significant step forward in epilepsy management, focusing on the development of a user-centered, noninvasive wearable device for seizure forecasting. Through a collaborative design process and comprehensive usability testing, this research aims to address the critical need for predictive seizure forecasting technologies, offering a promising approach to improving the lives of individuals with epilepsy. By leveraging predictive analytics and personalized machine learning models, this technology seeks to offer a novel approach to managing epilepsy, potentially improving clinical outcomes, including quality of life, through increased predictability and seizure management.<\/jats:p>\n <\/jats:sec>\n \n International Registered Report Identifier (IRRID)<\/jats:title>\n DERR1-10.2196\/60129<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/60129","type":"journal-article","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T15:17:54Z","timestamp":1721143074000},"page":"e60129","source":"Crossref","is-referenced-by-count":5,"title":["A Digital Intervention for Capturing the Real-Time Health Data Needed for Epilepsy Seizure Forecasting: Protocol for a Formative Co-Design and Usability Study (The ATMOSPHERE Study)"],"prefix":"10.2196","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1302-9059","authenticated-orcid":false,"given":"Emily E 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