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Patients’ perceptions of teleconsultation during COVID-19: a cross-national study

Author

Listed:
  • Patricia Baudier

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

  • Galina Kondrateva

    (EDC - EDC Paris Business School)

  • Chantal Ammi

    (IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

  • Victor Chang

    (Teesside University)

  • Francesco Schiavone

    (PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples, PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

In recent months, humanity has had to deal with a worldwide pandemic called COVID-19, which has caused the death of hundreds of thousands of people and paralyzed the global economy. Struggling to cure infected patients while continuing to care for patients with other pathologies, health authorities have faced the lack of medical staff and infrastructure. This study aimed to investigate the acceptance of teleconsultation solutions by patients, which help to avoid the spread of the disease during this pandemic period. The model was built using some constructs of the technology acceptance model UTAUT2, Personal traits, Availability, and Perceived Risks. A new scale on Contamination Avoidance was developed by the authors. The questionnaire was disseminated in several countries in Europe and Asia and a total sample of 386 respondents was collected. The results emphasize the huge impact of Performance Expectancy, the negative influence of Perceived Risk, and the positive influence of Contamination Avoidance on the adoption of teleconsultation solutions. The findings highlight the moderating effects of Age, Gender, and Country.

Suggested Citation

  • Patricia Baudier & Galina Kondrateva & Chantal Ammi & Victor Chang & Francesco Schiavone, 2021. "Patients’ perceptions of teleconsultation during COVID-19: a cross-national study," Post-Print hal-03052149, HAL.
    • Handle: RePEc:hal:journl:hal-03052149
    DOI: 10.1016/J.techfore.2020.120510
    Note: View the original document on HAL open archive server: https://hal.science/hal-03052149
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    References listed on IDEAS

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    2. Md. Alamgir Hossain & Ruhul Amin & Abdullah Al Masud & Md. Imran Hossain & Mohammad Awal Hossen & Mohammad Kamal Hossain, 2023. "What Drives People’s Behavioral Intention Toward Telemedicine? An Emerging Economy Perspective," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Cobelli, Nicola & Cassia, Fabio & Donvito, Raffaele, 2023. "Pharmacists' attitudes and intention to adopt telemedicine: Integrating the market-orientation paradigm and the UTAUT," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Han, Chunjia & Yang, Mu & Piterou, Athena, 2021. "Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    5. Naeini, Ali Bonyadi & Zamani, Mehdi & Daim, Tugrul U. & Sharma, Mahak & Yalcin, Haydar, 2022. "Conceptual structure and perspectives on “innovation management”: A bibliometric review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    6. Chauhan, Ankur & Jakhar, Suresh Kumar & Jabbour, Charbel Jose Chiappetta, 2022. "Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Prabh Deep Singh & Rajbir Kaur & Kiran Deep Singh & Gaurav Dhiman, 2021. "A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients," Information Systems Frontiers, Springer, vol. 23(6), pages 1385-1401, December.
    8. Ido Morag & Efrat Kedmi-Shahar & Dana Arad, 2023. "Remote Communications between Patients and General Practitioners: Do Patients Choose the Most Effective Communication Routes?," IJERPH, MDPI, vol. 20(24), pages 1-19, December.
    9. Eka Pramudita & Hendra Achmadi & Hansa Nurhaida, 2023. "Determinants of behavioral intention toward telemedicine services among Indonesian Gen-Z and Millenials: a PLS–SEM study on Alodokter application," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-21, December.
    10. Omrani, Nessrine & Rivieccio, Giorgia & Fiore, Ugo & Schiavone, Francesco & Agreda, Sergio Garcia, 2022. "To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    11. Capponi, Giovanna & Corrocher, Nicoletta, 2022. "Patterns of collaboration in mHealth: A network analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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