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

Bibliographic Details
Main Author: Tavares, Jorge
Publication Date: 2018
Other Authors: Oliveira, Tiago
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://doi.org/10.2196/11032
Summary: 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:35:44Zoai:run.unl.pt:10362/52946Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:06:53.450569Repositórios 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 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
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url https://doi.org/10.2196/11032
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language eng
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https://doi.org/10.2196/11032
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