ArticleScientific reports2024
High precision in epileptic seizure self-reporting with an app diary.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.Epilepsia open · 2026Trial
- When seizure counts are not seizures: Measurement error and its implications for epilepsy management and driving policy.Epilepsia · 2026Article
- Tonic-clonic seizures captured during ambulatory video-EEG are frequently unreported.Epilepsia · 2026Article
- Anti-Inflammatory and Antioxidant Strategies in Epilepsy: From Molecular Mechanisms to Threshold Management.International journal of molecular sciences · 2026Review
- The future of epilepsy care in the United Kingdom: A roadmap for technology-enabled transformation.Epilepsia open · 2026Review
- Objective outcome assessment in epilepsy surgery using ultralong-term subcutaneous EEG: A case report.Epilepsia open · 2026Article
- ECG-Based Detection of Epileptic Seizures in Real-World Wearable Settings: Insights from the SeizeIT2 Dataset.Sensors (Basel, Switzerland) · 2025Article
- Digital Tools for Seizure Monitoring and Self-Management in Epilepsy: A Narrative Review.Journal of clinical medicine · 2025Review
- Clinical utility of an ambulatory absence seizure detection system.Epilepsia open · 2025Article
- Two-year outcomes of epicranial focal cortex stimulation in pharmacoresistant focal epilepsy.Epilepsia · 2025Article
- Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
People with epilepsy frequently under- or inaccurately report their seizures, which poses a challenge for evaluating their treatment. The introduction of epilepsy health apps provides a novel approach that could improve seizure documentation. This study assessed the documentation performance of an app-based seizure diary and a conventional paper seizure diary. At two tertiary epilepsy centers patients were asked to use one of two offered methods to report their seizures (paper or app diary) during their stay in the epilepsy monitoring unit. The performances of both methods were assessed based on the gold standard of video-EEG annotations. In total 89 adults (54 paper and 35 app users) with focal epilepsy were included in the analysis, of which 58 (33 paper and 25 app users) experienced at least one seizure and made at least one seizure diary entry. We observed a high precision of 85.7% for the app group, whereas the paper group's precision was lower due to overreporting (66.9%). Sensitivity was similar for both methods. Our findings imply that performance of seizure self-reporting is patient-dependent but is more precise for patients who are willing to use digital apps. This may be relevant for treatment decisions and future clinical trial design.
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