Evidence map›Paper›PMID 37438936›Full record

ArticleEpilepsia open2023

Digital health applications in the self-management of epilepsy-A survey on patients' perspective.

Salima Houta, Alisa Bader, Jana-Sophie Effert, Birgitta Esser, Jasmin Henze, Alexandra Spaic, Feline Zocher, Michael Lauerer, Rainer Surges

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Salima HoutaFraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany.ORCID 0000-0001-8452-4263
Alisa BaderFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Bayreuth, Germany.
Jana-Sophie EffertKlinisches Innovationszentrum für Medizintechnik Oldenburg KIZMO, Oldenburg, Germany.
Birgitta EsserDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.ORCID 0000-0003-0771-3479
Jasmin HenzeFraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany.ORCID 0000-0001-7180-2578
Alexandra SpaicFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Bayreuth, Germany.ORCID 0000-0002-8421-9100
Feline ZocherFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Bayreuth, Germany.ORCID 0000-0002-8463-7169
Michael LauererFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Bayreuth, Germany.
Rainer SurgesDepartment of Epileptology, University Hospital Bonn, Bonn, Germany.ORCID 0000-0002-3177-8582

Funding

Bundesministerium für Gesundheit G512F11007
6 · The paper itself

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.

Indexed as

EpilepsySelf-ManagementHumansReproducibility of ResultsSeizuresSurveys and Questionnairesdigital health literacyhealth information exchangeknowledge about digital health infrastructuresmobile applicationsself-management

Identifiers

PMID37438936
PMCPMC10690647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.