Digital Health and Care Study on Elderly Monitoring

Maksym Gaiduk, Ralf Seepold, Natividad Martínez Madrid and Juan Antonio Ortega
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Maksym Gaiduk: Ubiquitous Computing Laboratory, HTWG Konstanz, 78462 Konstanz, Germany
Ralf Seepold: Ubiquitous Computing Laboratory, HTWG Konstanz, 78462 Konstanz, Germany
Natividad Martínez Madrid: Institute of Digital Medicine, I.M. Sechenov First Moscow State Medical University, 119435 Moscow, Russia
Juan Antonio Ortega: Computer Science Department, University of Seville, 41012 Seville, Spain

Sustainability, 2021, vol. 13, issue 23, 1-18

Abstract: Sustainable technologies are being increasingly used in various areas of human life. While they have a multitude of benefits, they are especially useful in health monitoring, especially for certain groups of people, such as the elderly. However, there are still several issues that need to be addressed before its use becomes widespread. This work aims to clarify the aspects that are of great importance for increasing the acceptance of the use of this type of technology in the elderly. In addition, we aim to clarify whether the technologies that are already available are able to ensure acceptable accuracy and whether they could replace some of the manual approaches that are currently being used. A two-week study with people 65 years of age and over was conducted to address the questions posed here, and the results were evaluated. It was demonstrated that simplicity of use and automatic functioning play a crucial role. It was also concluded that technology cannot yet completely replace traditional methods such as questionnaires in some areas. Although the technologies that were tested were classified as being “easy to use”, the elderly population in the current study indicated that they were not sure that they would use these technologies regularly in the long term because the added value is not always clear, among other issues. Therefore, awareness-raising must take place in parallel with the development of technologies and services.

Keywords: home health systems; sleep monitoring; sustainable technologies; technology acceptance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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