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. 2024 Apr 30;30(2):127–139. doi: 10.4258/hir.2024.30.2.127

Table 2.

Summary of the components of mobile health (mHealth) applications for epilepsy in the included studies

Author Components of the mobile health application for epilepsy Outcome parameter measurements Instrument outcome parameters Study results
Le Marne et al. [12]
  • -Education about learning and understanding epilepsy, seizures, medications, lifestyle, daily conditions that trigger seizures, and traveling with epilepsy (information about epilepsy).

  • -Seizure content (seizure diary, warning, trigger, type), clinical features of patients with epilepsy, medications and reminders, another epileptic treatment.

  • -Knowledge acquisition

  • -Psychological factors (attitude toward disease and seizure self-efficacy)

  • -Clinical parameters (medication adherence, seizure burden)

  • -User engagement and opinion

  • -AKEQ knowledge questionnaire

  • -The SSES-C questionnaire is used to assess psychosocial outcomes in children and adolescents with epilepsy.

  • -EpApp application

  • -The Mobile Application Rating Scale for User engagement and opinion.

  • -Knowledge increased following the EpApp intervention (p < 0.005).

  • -There was no statistically significant improvement in seizure load (p = 0.229) or psychosocial characteristics.

  • -Significantly less reminder medicine was needed (p < 0.05)

  • -App design, content, functionality, and utility metrics were all extremely favorable (agreed/strongly agreed with statement).

Rajbhandari et al. [13]
  • -A smartphone application with features related to diagnosing epilepsy, epilepsy awareness, medication, safety, drug-related side-effects, effectiveness in seizure control, and satisfaction.

  • -The chance score for an epileptic seizure/episode in the app

  • -Side effects

  • -Satisfaction

  • -Seizure

  • -Side effects determined by EFWs using a smartphone application or telephone.

  • -Patient satisfaction questionnaire

  • -112 patients with app scores suggesting epileptic seizures were identified and managed in 18 months, of whom 15 had provoked seizures (seizures were eliminated in 33% of cases and reduced in 57% of cases).

  • -Medication side effects affected 5% of the population (by EFWs) and 4% in neurologist follow-up.

  • -96% thought that the service (EFWs using a smartphone application) was more convenient than visiting a hospital or a private doctor.

Simblett et al. [14]
  • -A mobile health application that detects seizures and quantifies accompanying difficulties will improve clinical care and quality of life.

  • -Predicting provoked seizure

  • -Self-management

  • -Seizure prevention

  • -Focus group discussions

  • -The mHealth application could anticipate seizures (predicting provoked seizures).

  • -The mHealth application improved self-management.

  • -Mobile health applications that can prevent seizures and raise awareness, enable better activity planning and improve safety were critical facilitators of engagement.

Si et al. [15]
  • -A medication schedule, online educational forums, and blogs, rapid online reporting of seizures, online consultations (messaging or video call), and online questionnaires.

  • -Self-management of epilepsy

  • -Seizure

  • -Validated Chinese ESMS questionnaires

  • -Self-reported seizure frequency

  • -Between baseline and the 6-month evaluation, self-management of epilepsy increased considerably in the app group (from 121.7 ± 12.1 to 144.4 ± 10.0; p < 0.001).

  • -The app had a higher seizure-free rate at the 6-month follow-up than the control group (28% vs. 12%).

Mirpuri et al. [16]
  • -Medication reminder system

  • -Lifestyle checklist

  • -Physician’s portal and real-time progress tracker

  • -Seizure diary

  • -Health education

  • -Medication adherence

  • -Self-efficacy

  • -Seizure

  • -MGLs questionnaires

  • -ESMS questionnaires

  • -Seizure frequency

  • -The mobile application interventional group increased medication adherence by more than 60% (p = 0.0001).

  • -The mobile application group’s mean self-efficacy score increased from 269.5 to 289.75 (p = 0.0001).

  • -There were no significant differences in seizure frequency between or among groups (p = 0.425) for those who completed the follow-up interviews.

Choi et al. [17]
  • -Seizure frequency records

  • -Seizure triggering factors

  • -Comorbidity screenings

  • -Profiles of adverse events resulting from antiepileptic drugs

  • -General epilepsy knowledge

  • -Seizure self-efficacy

  • -Adverse reactions

  • -Seizure triggering factors

  • -General epilepsy knowledge assessment

  • -Seizure record from the application

  • -Adverse reactions reported on application and during clinic visits

  • -Seizure triggering factors from application

  • -Compared to rare/non-users, in-app users exhibited significantly improved epilepsy knowledge scores (p < 0.001).

  • -Seizure self-efficacy (p = 0.038)

  • -23 respondents reported 59 adverse reactions to the application, with a general adverse reaction of fatigue. Only 21 respondents reported 24 adverse reactions during clinic visits.

  • -The most frequently reported triggering factor by patients causing seizures was sleep deprivation.

EpApp: epilepsy mobile application, AKEQ: adolescent knowledge of epilepsy, SSES-C: Seizure Self-Efficacy Scale for Children, EFW: epilepsy field workers, MGLs: Morisky Green Levine scale, ESMS: Epilepsy Self-Management Scale.