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Development of a digital CBT-I tool for user-friendly treatment and observation of insomnia patients

  • Sufficient and regular sleep is essential for people’s physical and psychological health and a good life quality. Insomnia is one of the most frequent sleep disorders worldwide. Patients with a significant leak of sleep can also have a higher risk for depression. The main goal of this research was to create the concept of a software solution based on “Cognitive behavior therapy for insomnia” or short CBT-I, to support patients to enhance their sleep quality. But also, to make the monitoring of multiple patients more efficient and accessible, for the therapist’s side. Methods that can be quantified and are subsequently easy to automate were transferred, form CBT-I. One of the most essential components of this concept is the sleep diary, being used for the collection of the data for further processing. The PSQI questionnaire with an evaluation function was also included because it is an important tool for the therapist side. To guarantee access to the data and results for both sides, the data are stored on an online database. An internal test with 3 users confirmed a good user experience and has shown that the implementation of a user-friendly CBT-I based software solution for the simultaneous use is realizable and can provide benefits for patients and therapists. Like better monitoring and the automation of numerous proven CBT-I methods, e.g. sleep restriction or the transfer of CBT-I knowledge, making a considerable part of the process more efficient. This increase in efficiency can enable therapists to treat more patients simultaneously, while maintaining the same level of quality.

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Author:Raúl Martín Starke, Ali William Wannemacher, Mohammed Ali Rajeh, Ralf SeepoldORCiDGND, Maksym GaidukORCiD
DOI:https://doi.org/10.1016/j.procs.2024.09.306
ISSN:1877-0509
Parent Title (English):28th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES2024, 11 - 13 September, Seville, Spain (Procedia Computer Science, Vol. 246)
Volume:246
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Conference Proceeding
Language:English
Year of Publication:2024
Release Date:2024/11/29
Tag:CBT-I; PSQI; Sleep diary; Telemedicine; Insomnia; Sleep study
First Page:4563
Last Page:4571
Note:
Corresponding author: Raúl Martín Starke, Maksym Gaiduk
Institutes:Institut für Angewandte Forschung - IAF
DDC functional group:500 Naturwissenschaften und Mathematik
600 Technik, Medizin, angewandte Wissenschaften
Open Access?:Ja
Relevance:Konferenzbeitrag: h5-Index > 30
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International