Toward Innovation in Healthcare: An Analysis of the Digital Behavior of Older People in Europe and Japan for the Introduction of a Technological Coaching System

Author:

Möller Johanna1,Stara Vera2ORCID,Amabili Giulio2ORCID,Barbarossa Federico2ORCID,Riccardi Giovanni Renato3,Martella Clotilda4,Di Donna Valentina5ORCID,Palmier Cecilia6,Ogawa Toshimi7ORCID,Luc Marine8,Wieching Rainer9,Maranesi Elvira2ORCID,Bevilacqua Roberta2

Affiliation:

1. Diözesan-Caritasverband für das Erzbistum Köln e.V., D-50676 Cologne, Germany

2. Scientific Direction, IRCCS INRCA, 60124 Ancona, Italy

3. Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 60121 Ancona, Italy

4. Clinical Unit of Nephrology and Dialysis, IRCCS INRCA, 60121 Ancona, Italy

5. Clinical Unit of Physical Rehabilitation, IRCCS INRCA, 63900 Fermo, Italy

6. Service de Gériatrie 1&2, AP-HP, Hôpital Broca, 75013 Paris, France

7. Smart-Aging Research Center, Tohoku University, Sendai 980-8575, Miyagi, Japan

8. AGE Platform Europe, 1150 Brussels, Belgium

9. Institute for New Media and Information Systems, University Siegen, D-57072 Siegen, Germany

Abstract

(1) Background: The increasing older population and demographic shifts highlight the need to understand the digital profiles of older adults, a pivotal factor in developing innovative technologies like the e-VITA virtual coach. This personalized coach provides recommendations for sustainable well-being in a smart home environment. (2) Methods: This study focuses on analyzing the characteristics of older individuals categorized as Internet users (onliners) and non-users (offliners). European Social Survey data from 2021 were utilized for European analysis, determining Internet usage based on frequency. Offliners are defined as users who never use the Internet, and onliners as those who use it, albeit with different frequencies. In Japan, data from the 9th International Comparative Survey on the Lives and Attitudes of the Elderly were employed, based on the responses of 1367 subjects, which defined onliners as individuals using communication devices and offliners as those not utilizing fax machines, cell phones, or the Internet. (3) Results: This paper presents a primary analysis of older end-user context and perspectives, outlining effective strategies for the diffusion of an active and healthy aging coaching system in the market and society. (4) Conclusions: the study emphasizes the importance of analyzing digital behavior in any user-centered design approach to ensure the system’s acceptance after deployment.

Funder

European Union under the H2020 program

Ministry of Internal Affairs and Communication

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference24 articles.

1. A review of Internet use among older adults;Hunsaker;New Media Soc.,2018

2. Statista (2021, November 16). Anteil der Internetnutzer Nach Altersgruppen in Deutschland bis 2020. Available online: https://de.statista.com/statistik/daten/studie/3101/umfrage/internetnutzung-in-deutschland-nach-altersgruppen/.

3. Statista (2021, November 22). Internet Usage Penetration in France 2019, by Age. Available online: https://www.statista.com/statistics/410850/france-internet-usage-penetration-by-age/.

4. Statista (2021, January 25). Distribution of Daily Internet Users in Italy 2019, by Age Group. Available online: https://www.statista.com/statistics/1026858/distribution-of-daily-internet-users-by-age-group-in-italy/.

5. A Quantitative Examination of Explanations for Reasons for Internet Nonuse;Helsper;Cyberpsychol. Behav. Soc. Netw.,2013

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