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Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment

Author

Listed:
  • Francesco Infarinato

    (IRCCS San Raffaele Pisana, 00166 Rome, Italy)

  • Stephanie Jansen-Kosterink

    (Roessingh Research and Development, 7522 AH Enschede, The Netherlands)

  • Paola Romano

    (IRCCS San Raffaele Pisana, 00166 Rome, Italy)

  • Lex van Velsen

    (Roessingh Research and Development, 7522 AH Enschede, The Netherlands)

  • Harm op den Akker

    (Roessingh Research and Development, 7522 AH Enschede, The Netherlands)

  • Federica Rizza

    (IRCCS San Raffaele Pisana, 00166 Rome, Italy)

  • Marco Ottaviani

    (IRCCS San Raffaele Pisana, 00166 Rome, Italy)

  • Sofoklis Kyriazakos

    (Department of Business Development and Technology, BTECH, Aarhus University, 7400 Herning, Denmark
    Innovation Sprint, 1200 Brussels, Belgium)

  • Beatrix Wais-Zechmann

    (AIT Austrian Institute of Technology GmbH, 1210 Wien, Austria)

  • Markus Garschall

    (AIT Austrian Institute of Technology GmbH, 1210 Wien, Austria)

  • Stefano Bonassi

    (IRCCS San Raffaele Pisana, 00166 Rome, Italy
    Department of Human Sciences and Quality of Life Promotion, San Raffaele University, 00163 Rome, Italy)

  • Hermie J. Hermens

    (Roessingh Research and Development, 7522 AH Enschede, The Netherlands)

Abstract

Pervasive health technologies can increase the effectiveness of personal health monitoring and training, but more user studies are necessary to understand the interest for these technologies, and how they should be designed and implemented. In the present study, we evaluated eWALL, a user-centered pervasive health technology consisting of a platform that monitors users’ physical and cognitive behavior, providing feedback and motivation via an easy-to-use, touch-based user interface. The eWALL was placed for one month in the home of 48 subjects with a chronic condition (chronic obstructive pulmonary disease—COPD or mild cognitive impairment—MCI) or with an age-related impairment. User acceptance, platform use, and potential clinical effects were evaluated using surveys, data logs, and clinical scales. Although some features of the platform need to be improved before reaching technical maturity and making a difference in patients’ lives, the real-life evaluation of eWALL has shown how some features may influence patients’ intention to use this promising technology. Furthermore, this study made it clear how the free use of different health apps is modulated by the real needs of the patient and by their usefulness in the context of the patient’s clinical status.

Suggested Citation

  • Francesco Infarinato & Stephanie Jansen-Kosterink & Paola Romano & Lex van Velsen & Harm op den Akker & Federica Rizza & Marco Ottaviani & Sofoklis Kyriazakos & Beatrix Wais-Zechmann & Markus Garschal, 2020. "Acceptance and Potential Impact of the eWALL Platform for Health Monitoring and Promotion in Persons with a Chronic Disease or Age-Related Impairment," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7893-:d:435948
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    References listed on IDEAS

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    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    1. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.

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