Electronic Health Record Portals adoption

Detalhes bibliográficos
Autor(a) principal: Tavares, Jorge
Data de Publicação: 2018
Outros Autores: Goulão, Amélia, 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/10362/151414
Resumo: Tavares, J., Goulão, A., & Oliveira, T. (2018). Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care, 43(2), 109-125. DOI: 10.1080/17538157.2017.1363759
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spelling Electronic Health Record Portals adoptionempirical model based on UTAUT2e-healthelectronic health recordshealthcare consumerstechnology adoptionUTAUT2Health InformaticsNursing (miscellaneous)Health Information ManagementSDG 3 - Good Health and Well-beingTavares, J., Goulão, A., & Oliveira, T. (2018). Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care, 43(2), 109-125. DOI: 10.1080/17538157.2017.1363759Background: The future of healthcare delivery is becoming more citizen centered, as today’s user is more active and better informed. Governmental institutions are promoting the deployment and use of online services such as Electronic Health Record (EHR) portals. This makes the adoption of EHR portals an important field to study and understand. Objective: The aim of this study is to understand the factors that drive individuals to adopt EHR portals. Methods: This study applies the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of EHR portals. An online questionnaire was administered. We collected 386 valid responses. Results: The statistically significant drivers of behavioral intention are performance expectancy ((Formula presented.)=0.17; p < 0.01), effort expectancy ((Formula presented.)=0.17; p < 0.01), social influence ((Formula presented.)=0.10; p < 0.05), and habit ((Formula presented.)=0.37; p < 0.001). Habit ((Formula presented.)=0.28; p < 0.001) and behavioral intention ((Formula presented.)=0.24; p < 0.001) are the statistically significant drivers of technology use. The model explains 52% of the variance in behavioral intention and 31% of the variance in technology use. Conclusions: By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNTavares, JorgeGoulão, AméliaOliveira, Tiago2023-04-01T00:31:32Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article17application/pdfhttp://hdl.handle.net/10362/151414eng1753-8157PURE: 3261146https://doi.org/10.1080/17538157.2017.1363759info: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:RCAAP2024-03-11T05:33:52Zoai:run.unl.pt:10362/151414Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:34.959481Repositório 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 Electronic Health Record Portals adoption
empirical model based on UTAUT2
title Electronic Health Record Portals adoption
spellingShingle Electronic Health Record Portals adoption
Tavares, Jorge
e-health
electronic health records
healthcare consumers
technology adoption
UTAUT2
Health Informatics
Nursing (miscellaneous)
Health Information Management
SDG 3 - Good Health and Well-being
title_short Electronic Health Record Portals adoption
title_full Electronic Health Record Portals adoption
title_fullStr Electronic Health Record Portals adoption
title_full_unstemmed Electronic Health Record Portals adoption
title_sort Electronic Health Record Portals adoption
author Tavares, Jorge
author_facet Tavares, Jorge
Goulão, Amélia
Oliveira, Tiago
author_role author
author2 Goulão, Amélia
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 Tavares, Jorge
Goulão, Amélia
Oliveira, Tiago
dc.subject.por.fl_str_mv e-health
electronic health records
healthcare consumers
technology adoption
UTAUT2
Health Informatics
Nursing (miscellaneous)
Health Information Management
SDG 3 - Good Health and Well-being
topic e-health
electronic health records
healthcare consumers
technology adoption
UTAUT2
Health Informatics
Nursing (miscellaneous)
Health Information Management
SDG 3 - Good Health and Well-being
description Tavares, J., Goulão, A., & Oliveira, T. (2018). Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care, 43(2), 109-125. DOI: 10.1080/17538157.2017.1363759
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2023-04-01T00:31:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1753-8157
PURE: 3261146
https://doi.org/10.1080/17538157.2017.1363759
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eu_rights_str_mv openAccess
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instacron:RCAAP
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