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Caregivers’ Perceptions of Clinical Symptoms, Disease Management, and Quality of Life Impact in Cases of Cyclin-Dependent Kinase-Like 5 Deficiency Disorder: Cross-Sectional Online Survey

Caregivers’ Perceptions of Clinical Symptoms, Disease Management, and Quality of Life Impact in Cases of Cyclin-Dependent Kinase-Like 5 Deficiency Disorder: Cross-Sectional Online Survey

CDD is characterized by a broad range of clinical features, including early-onset refractory epilepsy; hypotonia; developmental, motor, and intellectual disabilities; cerebral (cortical) visual impairment; and microcephaly [3]. Epileptic seizures are usually the first symptom to occur, with a median age of onset of 6 weeks (by the age of 3 months in 90% of cases) [3,8,9].

Sam Amin, Carol-Anne Partridge, Helen Leonard, Jenny Downs, Helen Allvin, Valentine Ficara, Emilie Pain, Minna A Korolainen

JMIR Form Res 2025;9:e72489

The Impact of Internet Hospital Follow-Up on the Quality of Life of Patients With Epilepsy: Randomized Controlled Trial

The Impact of Internet Hospital Follow-Up on the Quality of Life of Patients With Epilepsy: Randomized Controlled Trial

Epilepsy nurses provided one-on-one structured teaching to ensure all aspects of epilepsy care were covered. Each session lasted at least 30 minutes, and each patient randomly assigned to the epilepsy health education group received a total of 6 sessions. It is important to note that this program was intentionally designed to differ from well-established, more intensive programs like the MOSES (Modular Service Package Epilepsy) program [17].

Ting Ting Liu, Min Zhang, Hong Ying Li, Yu Wen Zhang, Lu Liang, Xin Yue Huang, Xia Gan, Lan Mou, Chen Shi Liu, Ming Ming Zhang, Jie Liu

J Med Internet Res 2025;27:e70665

A Digital Outpatient Service With a Mobile App for Tailored Care and Health Literacy in Adults With Long-Term Health Service Needs: Multicenter Nonrandomized Controlled Trial

A Digital Outpatient Service With a Mobile App for Tailored Care and Health Literacy in Adults With Long-Term Health Service Needs: Multicenter Nonrandomized Controlled Trial

Mobile apps for patients with epilepsy have shown promising results; however, the value of patients’ collaborating with health care workers remains unclear [26]. Challenges persist, such as integrating electronic health records and standardizing data for registry use. In summary, studies exploring the implementation and impacts of digital health solutions in outpatient care are warranted.

Heidi Holmen, Are Martin Holm, Ragnhild Sørum Falk, Thomas Karsten Kilvær, Tone Marte Ljosaa, Christopher Ekholdt, Erik Fosse

J Med Internet Res 2025;27:e60343

YouTube User Traffic to Paired Epilepsy Education Videos in English and Spanish: Comparative Study

YouTube User Traffic to Paired Epilepsy Education Videos in English and Spanish: Comparative Study

Epilepsy, a common chronic condition, highlights the challenges faced by patients needing access to clinical specialists. Children and youth with epilepsy and their families need accurate and trustworthy information to manage their condition effectively [2]. Social media platforms, particularly You Tube, have become significant sources of information for many people.

Luna Kimahri Varela, Stephanie Horton, Ahmed Abdelmoity, Jean-Baptiste Le Pichon, Mark A Hoffman

JMIR Form Res 2025;9:e56720

Determinants of Dropping Out of Remote Patient-Reported Outcome–Based Follow-Up Among Patients With Epilepsy: Prospective Cohort Study

Determinants of Dropping Out of Remote Patient-Reported Outcome–Based Follow-Up Among Patients With Epilepsy: Prospective Cohort Study

Thus, this study aimed to investigate potential determinants for dropout in remote PRO-based follow-up among patients with epilepsy. We examined the association between dropout in PRO-based follow-up and determinants from the following three domains: health-related self-management, general and mental health status, and patient satisfaction.

Sofie Bech Vestergaard, Mette Roost, David Høyrup Christiansen, Liv Marit Valen Schougaard

JMIR Form Res 2025;9:e58258

Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis

Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis

This allows for more proactive and effective intervention for patients, making it an effective tool for the evaluation and diagnosis of epilepsy [5]. EEG is currently the gold standard for diagnosing neonatal epilepsy [6]. However, the interpretation of EEG primarily relies on the clinician’s previous experience, which can impact the interpretation of some critical signals. Therefore, monitoring epilepsy, especially in real time, remains a challenging task [7].

Zhuan Zou, Bin Chen, Dongqiong Xiao, Fajuan Tang, Xihong Li

J Med Internet Res 2024;26:e55986

Collaborative Care to Improve Quality of Life for Anxiety and Depression in Posttraumatic Epilepsy (CoCarePTE): Protocol for a Randomized Hybrid Effectiveness-Implementation Trial

Collaborative Care to Improve Quality of Life for Anxiety and Depression in Posttraumatic Epilepsy (CoCarePTE): Protocol for a Randomized Hybrid Effectiveness-Implementation Trial

Anxiety and depression in epilepsy are highly prevalent, and they are stronger independent predictors of poor quality of life than seizure frequency [1]. They are particularly relevant to people with posttraumatic epilepsy (PTE), including veterans.

Heidi M Munger Clary, Beverly M Snively, Christian Cagle, Richard Kennerly, James N Kimball, Halley B Alexander, Gretchen A Brenes, Justin B Moore, Robin A Hurley

JMIR Res Protoc 2024;13:e59329

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

While user experience research has been conducted for pre-existing apps tailored toward the management of our 3 chosen relapsing conditions: multiple sclerosis (MS) [9], epilepsy [18], and depression [10,23], and has identified themes to consider in device selection and RMT design for individuals living with these conditions [19], none of these previous studies have focused specifically on data visualization.

Sara Simblett, Erin Dawe-Lane, Gina Gilpin, Daniel Morris, Katie White, Sinan Erturk, Julie Devonshire, Simon Lees, Spyridon Zormpas, Ashley Polhemus, Gergely Temesi, Nicholas Cummins, Matthew Hotopf, Til Wykes, RADAR-CNS Consortium

J Med Internet Res 2024;26:e43954

Semiology Extraction and Machine Learning–Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis

Semiology Extraction and Machine Learning–Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis

We designated “generalized epilepsy” as label A and “focal epilepsy” as label B. TP(A) represents true positives, FP(A) represents false positives, and FN(A) represents false negatives for label A, and similarly for label B.

Yilin Xia, Mengqiao He, Sijia Basang, Leihao Sha, Zijie Huang, Ling Jin, Yifei Duan, Yusha Tang, Hua Li, Wanlin Lai, Lei Chen

JMIR Med Inform 2024;12:e57727

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)

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)

The disability-adjusted life-years rates in the United Kingdom, estimated at 92,400 per 100,000 population [5], highlight the extensive health loss attributed to epilepsy. Sudden unexpected death in epilepsy remains a critical concern, with an incidence rate of approximately 1 in 1000 people with epilepsy annually, emphasizing the need for ongoing research and innovative management strategies [6,7].

Emily E V Quilter, Samuel Downes, Mairi Therese Deighan, Liz Stuart, Rosie Charles, Phil Tittensor, Leandro Junges, Peter Kissack, Yasser Qureshi, Aravind Kumar Kamaraj, Amberly Brigden

JMIR Res Protoc 2024;13:e60129