ArticleEpilepsia open2023
Digital health applications in the self-management of epilepsy-A survey on patients' perspective.
Article in Epilepsia open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Awareness, Perceptions, Willingness, and Feasibility of mHealth Apps Among People Living With Epilepsy: Cross-Sectional Questionnaire Study.JMIR formative research · 2025Article
- Relationship between health-seeking behavior and digital health literacy in epilepsy patients.Revista da Escola de Enfermagem da U S P · 2025Article
- High precision in epileptic seizure self-reporting with an app diary.Scientific reports · 2024Article
- Digital health applications in the self-management of epilepsy-A survey on patients' perspective.Epilepsia open · 2023Article
- Health literacy in patients with epilepsy: a narrative review of current status, influencing factors, and future directions.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
objectiveDigital health applications can be prescribed since 2019 in Germany, which is likely to facilitate a broad use of epilepsy self-management applications, possibly directly connected to clinical systems via telematics infrastructures. This article reports on patients' interest in digital support for epilepsy self-management, influencing factors and patients' knowledge about digitization of health care in Germany.
methodsThis work is based on self-reported data from 115 people with epilepsy participating in an anonymous online survey with a total of 54 questions covering several topics, including sociodemographics and epilepsy manifestation, use of technology in general and for treatment support, training programs, affinity for technology, knowledge on the digital infrastructure in Germany, and self-efficacy in dealing with chronic illness. The self-constructed questionnaire uses existing instruments like TA-EG, SES6G, and Hoffmeyer-Zlotnik sociodemographic questionnaire. To analyze the knowledge about digitalization in health care, a combination of self-assessment and knowledge quiz was used. The analysis was performed using descriptive methods and inferential statistics (t-test, reliability analysis, and correlations).
resultsParticipants were most interested in seizure alerting and documentation with the possibility to share documentation with physicians. The analysis of technology affinity showed medium enthusiasm, with positively perceived consequences being rated higher than the negatively perceived consequences of technology use. Knowledge on national health infrastructures was mediocre and training on this was judged to be essential and desired. Furthermore, a significant correlation was found between interest in use and affinity for technology (enthusiasm for technology [r = 0.29; P = 0.00]) and positively perceived consequences of technology (r = 0.33; P = 0.00). SIGNIFICANCE: Our results underline the high relevance of digital solutions for patients and the importance of individual training opportunities in digital health literacy, thereby enabling patients to decide competently for or against offered digital solutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.