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Electronic Health Record Portals adoption

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dc.contributor.authorTavares, Jorge
dc.contributor.authorGoulão, Amélia
dc.contributor.authorOliveira, Tiago
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblTaylor & Francis
dc.date.accessioned2023-03-30T22:09:22Z
dc.date.available2023-04-01T00:31:32Z
dc.date.embargoedUntil2023-03-31
dc.date.issued2018
dc.descriptionTavares, 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
dc.description.abstractBackground: 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.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent17
dc.format.extent650495
dc.identifier.doi10.1080/17538157.2017.1363759
dc.identifier.issn1753-8157
dc.identifier.otherPURE: 3261146
dc.identifier.otherPURE UUID: 2898095f-115f-4ebd-aedd-250cfd96ad7b
dc.identifier.otherScopus: 85031495409
dc.identifier.otherWOS: 000426920400001
dc.identifier.otherORCID: /0000-0001-6523-0809/work/131991782
dc.identifier.urihttp://hdl.handle.net/10362/151414
dc.identifier.urlhttps://www.scopus.com/pages/publications/85031495409
dc.language.isoeng
dc.peerreviewedyes
dc.subjecte-health
dc.subjectelectronic health records
dc.subjecthealthcare consumers
dc.subjecttechnology adoption
dc.subjectUTAUT2
dc.subjectHealth Informatics
dc.subjectNursing (miscellaneous)
dc.subjectHealth Information Management
dc.subjectSDG 3 - Good Health and Well-being
dc.titleElectronic Health Record Portals adoptionen
dc.title.subtitleempirical model based on UTAUT2en
dc.typejournal article
degois.publication.firstPage109
degois.publication.issue2
degois.publication.lastPage125
degois.publication.titleInformatics for Health and Social Care
degois.publication.volume43
dspace.entity.typePublication
rcaap.rightsopenAccess

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NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)