Adoption and Determinants of Assistive Technologies in the Real World: Results from the VdK Study

Autor(en): Hübner, Ursula
Yalymova, Ivanna
Przysucha, Mareike
Büscher, Andreas
Herausgeber: Rohrig, R.
Grabe, N.
Haag, M.
Hubner, U.
Sax, U.
Schmidt, C.O.
Sedlmayr, M.
Zapf, A.
Stichwörter: Ambulatory nursing service; ambulatory nursing services; assistive technologies; Assistive technology; Binary logistic regression; Care-dependant person; care-dependant persons; Data set; Emergency call systems; Family caregiver; family caregivers; Home care; Home Care Services; human; Humans; Nursing; Nursing service; probability; Real-world; Self-Help Devices
Erscheinungsdatum: 2023
Herausgeber: IOS Press BV
Journal: Studies in Health Technology and Informatics
Volumen: 307
Startseite: 199 – 207
Zusammenfassung: 
Introduction: While there is growing evidence of the benefits of assistive technologies little is known about their adoption under real circumstances and prevalence for everyday use. Objective: The aim of this analysis therefore was (i) to investigate the adoption rates in the real world and (ii) to identify potential determinants of their adoption by care-dependant persons and family caregivers. Methods: The present study is a secondary analysis based on the data set of the VdK study on home care arrangements (n=53,678). The analysis of the adoption rates included 22,666 care-dependant persons and caregivers, the identification of potential determinants via binary logistic regressions included 5,275 persons. Results: Emergency call systems and technical (smart) aids reached an adoption rate of 40.4 % (care-dependant persons) and 55.3 % (family caregivers). Fall detectors, orientations aids, nursing apps and monitoring systems were used in less than 5 % of the cases. Care degree and the use of an ambulatory nursing service increased the likelihood of using technical aids. Conclusion: It can be concluded that innovative and sophisticated types of assistive technologies are still rather scarcely used for home care arrangements in the real world despite large research efforts in the last twenty years. © 2023 The authors and IOS Press.
Beschreibung: 
Cited by: 0; Conference name: 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology: Science. Close to People, GMDS 2023; Conference date: 17 September 2023 through 21 September 2023; Conference code: 193054
ISBN: 9781643684284
ISSN: 0926-9630
DOI: 10.3233/SHTI230714
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170629058&doi=10.3233%2fSHTI230714&partnerID=40&md5=926b9f1b3e1dd1a86913b3d6f06158dd

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