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Related Experiment Video

Updated: Feb 13, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
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Physician Perspectives on Web-Based Real-World Statistics for Better-Informed Drug Selection in Epilepsy: Mixed

David Larsson1,2,3, André Idegård2,3, Samuel Håkansson4

  • 1Department of Neurocare, Member of ERN EpiCARE, Sahlgrenska University Hospital, Gothenburg, Sweden.

JMIR Formative Research
|February 11, 2026
PubMed
Summary

EPstat, a tool using big data for epilepsy medication retention, shows promise but needs expansion. Physicians found it easy to use and applicable, but requested more data on newer antiseizure medications (ASMs).

Keywords:
ASM discontinuationantiepileptic drugantiseizure medication discontinuationhealth care innovationquality improvementretention rateseizure

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Area of Science:

  • Epilepsy research
  • Health informatics
  • Big data analytics in medicine

Background:

  • Big data studies are emerging for ranking antiseizure medication (ASM) retention likelihood.
  • Integrating these findings into clinical practice remains a challenge.
  • EPstat was developed as a noncommercial tool to provide real-world ASM retention data for physicians treating epilepsy.

Purpose of the Study:

  • To investigate the user experience of the EPstat tool after its initial pilot launch.
  • To gather physician feedback on the utility and potential improvements for EPstat.

Main Methods:

  • EPstat was developed iteratively and launched via email and information meetings.
  • An online questionnaire and semistructured workshops/interviews with neurologists were used for feedback.
  • Descriptive statistics and thematic analysis were applied to summarize responses.

Main Results:

  • 70% of physicians were aware of EPstat, and 37% had used it.
  • Users reported high ease of use (median 5) and clinical applicability (median 4).
  • Two users indicated EPstat influenced their ASM choice; workshop participants requested data on newer ASMs.

Conclusions:

  • The concept of using big data for ASM selection is well-received, despite initial usage barriers.
  • Physicians desire a more comprehensive resource including newer ASMs and general epilepsy management information.
  • Future updates and strategies like mobile access and guideline integration are proposed to increase EPstat's use and impact.