Electronic Health Record Portals adoption
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/151414 |
Summary: | 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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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:10:40Zoai:run.unl.pt:10362/151414Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:41:05.526364Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
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 |
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/10362/151414 |
url |
http://hdl.handle.net/10362/151414 |
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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info:eu-repo/semantics/openAccess |
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openAccess |
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17 application/pdf |
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