Download
ijerph-19-13202-v2.pdf 1,23MB
WeightNameValue
1000 Titel
  • Neurological Outpatients Prefer EEG Home-Monitoring over Inpatient Monitoring-An Analysis Based on the UTAUT Model
1000 Autor/in
  1. Baum, Ulrike |
  2. Kühn, Frauke |
  3. Lichters, Marcel |
  4. Baum, Anne-Katrin |
  5. Deike, Renate |
  6. Hinrichs, Hermann |
  7. Neumann, Thomas |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-10-13
1000 Erschienen in
1000 Quellenangabe
  • 19(20):13202
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3390/ijerph192013202 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603390/ |
1000 Ergänzendes Material
  • https://www.mdpi.com/1660-4601/19/20/13202#app1-ijerph-19-13202 |
  • https://www.mdpi.com/1660-4601/19/20/13202#app2-ijerph-19-13202 |
  • https://www.mdpi.com/1660-4601/19/20/13202#app3-ijerph-19-13202 |
  • https://www.mdpi.com/1660-4601/19/20/13202#app4-ijerph-19-13202 |
  • https://www.mdpi.com/1660-4601/19/20/13202#app5-ijerph-19-13202 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Home monitoring examinations offer diagnostic and economic advantages compared to inpatient monitoring. In addition, these technical solutions support the preservation of health care in rural areas in the absence of local care providers. The acceptance of patients is crucial for the implementation of home monitoring concepts. The present research assesses the preference for a health service that is to be introduced, namely an EEG home-monitoring of neurological outpatients-using a mobile, dry-electrode EEG (electroencephalography) system-in comparison to the traditional long-time EEG examination in a hospital. Results of a representative study for Germany (n = 421) reveal a preference for home monitoring. Importantly, this preference is partially driven by a video explaining the home monitoring system. We subsequently analyzed factors that influence the behavioral intention (BI) to use the new EEG system, drawing on an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. The strongest positive predictor of BI is the belief that EEG home-monitoring will improve health quality, while computer anxiety and effort expectancy represent the strongest barriers. Furthermore, we find the UTAUT model's behavioral intention construct to predict the patients' decision for or against home monitoring more strongly than any other patient's characteristic such as gender, health condition, or age, underlying the model's usefulness.
1000 Sacherschließung
lokal partial least squares structural equation modelling (PLS-SEM)
lokal electroencephalography (EEG)
lokal home monitoring
lokal UTAUT
lokal mobile EEG
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QmF1bSwgVWxyaWtl|https://orcid.org/0000-0003-1047-1431|https://orcid.org/0000-0002-3710-2292|https://frl.publisso.de/adhoc/uri/QmF1bSwgQW5uZS1LYXRyaW4=|https://frl.publisso.de/adhoc/uri/RGVpa2UsIFJlbmF0ZQ==|https://frl.publisso.de/adhoc/uri/SGlucmljaHMsIEhlcm1hbm4=|https://orcid.org/0000-0002-9443-4648
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. European Regional Development Fund |
  2. State of Saxony-Anhalt |
1000 Fördernummer
  1. ZS/2019/03/97871
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European Regional Development Fund |
    1000 Förderprogramm -
    1000 Fördernummer ZS/2019/03/97871
  2. 1000 joinedFunding-child
    1000 Förderer State of Saxony-Anhalt |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6438539.rdf
1000 Erstellt am 2022-11-24T10:08:24.783+0100
1000 Erstellt von 242
1000 beschreibt frl:6438539
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2023-07-20T13:17:25.806+0200
1000 Objekt bearb. Thu Jul 20 13:17:25 CEST 2023
1000 Vgl. frl:6438539
1000 Oai Id
  1. oai:frl.publisso.de:frl:6438539 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source