Adoption of video consultations during the COVID-19 pandemic

Detalhes bibliográficos
Autor(a) principal: Pereira, Filipe Viana
Data de Publicação: 2023
Outros Autores: Tavares, Jorge, Oliveira, Tiago
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150292
Resumo: Pereira, F. J. V., Tavares, J., & Oliveira, T. (2023). Adoption of Video Consultations during the COVID-19 Pandemic. Internet Interventions, 31, 1-10. [100602]. https://doi.org/10.1016/j.invent.2023.100602 -- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia) under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC).
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spelling Adoption of video consultations during the COVID-19 pandemicCFIPDOIHBMHealthPatientTechnology adoptionTelemedicineUTAUTVideo consultationsHealth InformaticsSDG 3 - Good Health and Well-beingPereira, F. J. V., Tavares, J., & Oliveira, T. (2023). Adoption of Video Consultations during the COVID-19 Pandemic. Internet Interventions, 31, 1-10. [100602]. https://doi.org/10.1016/j.invent.2023.100602 -- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia) under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC).Background: Video consultations have the potential to play a significant role for the future of healthcare by solving some of the imminently arising healthcare challenges, as pointed by the European Commission in Europe and the National Academy of Medicine in the United States of America. This technology can improve quality, efficiency, and enhance access to healthcare. Objective: The aim of this study is to explore and understand individual video consultations acceptance drivers. Methods: An extended technology acceptance model was created based on the diffusion of innovation theory (DOI), unified theory of acceptance and use of technology (UTAUT), health belief model (HBM), and concerns for information privacy framework (CFIP). 346 valid responses were collected through an online questionnaire, and the partial least squares (PLS) modeling approach was used to test the model. Results: The model explained 77.6 % (R2) of the variance on intention to use, and 71.4 % (R2) of the variance in attitude. The predictors of intention to use are attitude (beta = 0.504, p-value<0.001), performance expectancy (beta = 0.196, p-value = 0.002), and COVID-19 (beta = 0.151, p-value<0.001). The predictors of attitude are performance expectancy (beta = 0.643, p-value>0.001), effort expectancy (beta = 0.138, p-value = 0.001), and COVID-19 (beta = 0.170, p-value<0.001). Conclusions: This research model highlights the importance of creating extended acceptance models to capture the specificities of each technology in healthcare. The model created helps to understand the most important drivers of video consultation acceptance, highlighting the importance of the COVID-19 pandemic and perceived health risks.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNPereira, Filipe VianaTavares, JorgeOliveira, Tiago2023-03-09T22:28:36Z2023-032023-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/150292eng2214-7829PURE: 55190748https://doi.org/10.1016/j.invent.2023.100602info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T18:09:48Zoai:run.unl.pt:10362/150292Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:09:48Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Adoption of video consultations during the COVID-19 pandemic
title Adoption of video consultations during the COVID-19 pandemic
spellingShingle Adoption of video consultations during the COVID-19 pandemic
Pereira, Filipe Viana
CFIP
DOI
HBM
Health
Patient
Technology adoption
Telemedicine
UTAUT
Video consultations
Health Informatics
SDG 3 - Good Health and Well-being
title_short Adoption of video consultations during the COVID-19 pandemic
title_full Adoption of video consultations during the COVID-19 pandemic
title_fullStr Adoption of video consultations during the COVID-19 pandemic
title_full_unstemmed Adoption of video consultations during the COVID-19 pandemic
title_sort Adoption of video consultations during the COVID-19 pandemic
author Pereira, Filipe Viana
author_facet Pereira, Filipe Viana
Tavares, Jorge
Oliveira, Tiago
author_role author
author2 Tavares, Jorge
Oliveira, Tiago
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Pereira, Filipe Viana
Tavares, Jorge
Oliveira, Tiago
dc.subject.por.fl_str_mv CFIP
DOI
HBM
Health
Patient
Technology adoption
Telemedicine
UTAUT
Video consultations
Health Informatics
SDG 3 - Good Health and Well-being
topic CFIP
DOI
HBM
Health
Patient
Technology adoption
Telemedicine
UTAUT
Video consultations
Health Informatics
SDG 3 - Good Health and Well-being
description Pereira, F. J. V., Tavares, J., & Oliveira, T. (2023). Adoption of Video Consultations during the COVID-19 Pandemic. Internet Interventions, 31, 1-10. [100602]. https://doi.org/10.1016/j.invent.2023.100602 -- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia) under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC).
publishDate 2023
dc.date.none.fl_str_mv 2023-03-09T22:28:36Z
2023-03
2023-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/150292
url http://hdl.handle.net/10362/150292
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2214-7829
PURE: 55190748
https://doi.org/10.1016/j.invent.2023.100602
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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