New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption

Detalhes bibliográficos
Autor(a) principal: Tavares, Jorge
Data de Publicação: 2018
Outros Autores: Oliveira, Tiago
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.2196/11032
Resumo: Tavares, J., & Oliveira, T. (2018). New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey. Journal Of Medical Internet Research, 20(11), [e11032]. DOI: 10.2196/11032
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spelling New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal AdoptionCross-Sectional National SurveyadoptioneHealthelectronic health recordspatient portalspatientsHealth InformaticsSDG 3 - Good Health and Well-beingTavares, J., & Oliveira, T. (2018). New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey. Journal Of Medical Internet Research, 20(11), [e11032]. DOI: 10.2196/11032BACKGROUND: The future of health care delivery is becoming more patient-focused, and electronic health record (EHR) portals are gaining more attention from worldwide governments that consider this technology as a valuable asset for the future sustainability of the national health care systems. Overall, this makes the adoption of EHR portals an important field to study. OBJECTIVE: The aim of this study is to understand the factors that drive individuals to adopt EHR portals. METHODS: We applied a new adoption model that combines 3 different theories, namely, extended unified theory of acceptance and use of technology, health belief model, and the diffusion of innovation; all the 3 theories provided relevant contributions for the understanding of EHR portals. To test the research model, we used the partial least squares causal modeling approach. We executed a national survey based on randomly generated mobile phone numbers. We collected 139 questionnaires. RESULTS: Performance expectancy (beta=.203; t=2.699), compatibility (beta=.530; t=6.189), and habit (beta=.251; t=2.660) have a statistically significant impact on behavior intention (R2=76.0%). Habit (beta=.378; t=3.821), self-perception (beta=.233; t=2.971), and behavior intention (beta=.263; t=2.379) have a statistically significant impact on use behavior (R2=61.8%). In addition, behavior intention (beta=.747; t=10.737) has a statistically significant impact on intention to recommend (R2=69.0%), results demonstrability (beta=.403; t=2.888) and compatibility (beta=.337; t=2.243) have a statistically significant impact on effort expectancy (R2=48.3%), and compatibility (beta=.594; t=6.141) has a statistically significant impact on performance expectancy (R2=42.7%). CONCLUSIONS: Our research model yields very good results, with relevant R2 in the most important dependent variables that help explain the adoption of EHR portals, behavior intention, and use behavior.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNTavares, JorgeOliveira, Tiago2018-11-26T23:26:58Z2018-11-192018-11-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.2196/11032engPURE: 6477810http://www.scopus.com/inward/record.url?scp=85056692068&partnerID=8YFLogxKhttps://doi.org/10.2196/11032info: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:RCAAP2024-03-11T04:26:17Zoai:run.unl.pt:10362/52946Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:32:36.522388Repositório 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 New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
Cross-Sectional National Survey
title New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
spellingShingle New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
Tavares, Jorge
adoption
eHealth
electronic health records
patient portals
patients
Health Informatics
SDG 3 - Good Health and Well-being
title_short New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
title_full New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
title_fullStr New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
title_full_unstemmed New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
title_sort New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption
author Tavares, Jorge
author_facet Tavares, Jorge
Oliveira, Tiago
author_role author
author2 Oliveira, Tiago
author2_role 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
Oliveira, Tiago
dc.subject.por.fl_str_mv adoption
eHealth
electronic health records
patient portals
patients
Health Informatics
SDG 3 - Good Health and Well-being
topic adoption
eHealth
electronic health records
patient portals
patients
Health Informatics
SDG 3 - Good Health and Well-being
description Tavares, J., & Oliveira, T. (2018). New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey. Journal Of Medical Internet Research, 20(11), [e11032]. DOI: 10.2196/11032
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T23:26:58Z
2018-11-19
2018-11-19T00:00:00Z
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 https://doi.org/10.2196/11032
url https://doi.org/10.2196/11032
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 6477810
http://www.scopus.com/inward/record.url?scp=85056692068&partnerID=8YFLogxK
https://doi.org/10.2196/11032
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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
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instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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