IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p7893-d435948.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/7893/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/21/7893/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sepasgozar, Samad M.E., 2022. "Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model," Technology in Society, Elsevier, vol. 68(C).
    2. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    3. Mohammad Tipu Sultan & Farzana Sharmin & Alina Badulescu & Darie Gavrilut & Ke Xue, 2021. "Social Media-Based Content towards Image Formation: A New Approach to the Selection of Sustainable Destinations," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    4. Seok Chan Jeong & Beom-Jin Choi, 2022. "Moderating Effects of Consumers’ Personal Innovativeness on the Adoption and Purchase Intention of Wearable Devices," SAGE Open, , vol. 12(4), pages 21582440221, November.
    5. Pei Yee Chin & Nina Evans & Charles Zhechao Liu & Kim-Kwang Raymond Choo, 2020. "Understanding Factors Influencing Employees’ Consumptive and Contributive Use of Enterprise Social Networks," Information Systems Frontiers, Springer, vol. 22(6), pages 1357-1376, December.
    6. Pei Yee Chin & Nina Evans & Charles Zhechao Liu & Kim-Kwang Raymond Choo, 0. "Understanding Factors Influencing Employees’ Consumptive and Contributive Use of Enterprise Social Networks," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    7. Peng Gu & Hao Zhang & Zeheng Liang & Dazhi Zhang, 2022. "Impact of Public Risk Perception in China on the Intention to Use Sports APPs during COVID-19 Pandemic," IJERPH, MDPI, vol. 19(19), pages 1-12, September.
    8. Radoslaw Macik & Dorota Macik, 2011. "Physical vs. Virtual Information Search and Purchase in the Buying Behavior of Polish Young Consumers," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.
    9. Ohiomah, Alhassan & Andreev, Pavel & Benyoucef, Morad & Hood, David, 2019. "The role of lead management systems in inside sales performance," Journal of Business Research, Elsevier, vol. 102(C), pages 163-177.
    10. Mohd Azhar & Ruksar Ali & Sheeba Hamid & Mohd Junaid Akhtar & Mohd Nayyer Rahman, 2022. "Demystifying the effect of social media eWOM on revisit intention post-COVID-19: an extension of theory of planned behavior," Future Business Journal, Springer, vol. 8(1), pages 1-16, December.
    11. Susmita Chatterjee & Bibek Ray Chaudhuri & Debabrata Dutta, 2019. "Determinants of Adoption of New Technology in Telecom Sector: A Structural Equation Modeling Approach," Global Business Review, International Management Institute, vol. 20(1), pages 166-178, February.
    12. Allam, Hesham & Bliemel, Michael & Spiteri, Louise & Blustein, James & Ali-Hassan, Hossam, 2019. "Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation," International Journal of Information Management, Elsevier, vol. 45(C), pages 211-222.
    13. Fernández-Bonilla, Fernando & Gijón, Covadonga & De la Vega, Bárbara, 2022. "E-commerce in Spain: Determining factors and the importance of the e-trust," Telecommunications Policy, Elsevier, vol. 46(1).
    14. Cristina Gallego-Gómez & Carmen De-Pablos-Heredero & José Luis Montes-Botella, 2021. "Change of Processes in the COVID-19 Scenario: From Face-to-Face to Remote Teaching-Learning Systems," Sustainability, MDPI, vol. 13(19), pages 1-11, September.
    15. Baqar Ali Zardari & Zahid Hussain & Aijaz Ahmed Arain & Wajid H. Rizvi & Muhammad Saleem Vighio, 2021. "Development and Validation of User Experience-Based E-Learning Acceptance Model for Sustainable Higher Education," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    16. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    17. Higueras-Castillo, Elena & Kalinic, Zoran & Marinkovic, Veljko & Liébana-Cabanillas, Francisco J., 2020. "A mixed analysis of perceptions of electric and hybrid vehicles," Energy Policy, Elsevier, vol. 136(C).
    18. Reineke, Nicolas, 2016. "The Implementation of integrated Management Information Systems in the Human Resource Management: An empirical Study of Success Factors," Journal of Applied Leadership and Management, Hochschule Kempten - University of Applied Sciences, Professional School of Business & Technology, vol. 4, pages 67-81.
    19. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    20. Smith, Carlo D. & Mentzer, John T., 2010. "Forecasting task-technology fit: The influence of individuals, systems and procedures on forecast performance," International Journal of Forecasting, Elsevier, vol. 26(1), pages 144-161, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7893-:d:435948. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.