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Patients' perceptions of teleconsultation during COVID-19: A cross-national study.
Baudier, Patricia; Kondrateva, Galina; Ammi, Chantal; Chang, Victor; Schiavone, Francesco.
Afiliación
  • Baudier P; EM Normandie Business School, Métis Lab, Paris, France.
  • Kondrateva G; EDC Paris Business School, OCRE Lab, Paris, France.
  • Ammi C; Institut Mines-Télécom Business School, Evry, France.
  • Chang V; Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom.
  • Schiavone F; Parthenope University of Naples, Italy, Department of Management Studies & Quantitative Methods and Paris School of Business, France.
Technol Forecast Soc Change ; 163: 120510, 2021 Feb.
Article en En | MEDLINE | ID: mdl-33318716
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Technol Forecast Soc Change Año: 2021 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Technol Forecast Soc Change Año: 2021 Tipo del documento: Article País de afiliación: Francia