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The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis

The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis

Tavares and Oliveira [16] used a derivative of Venkatesh’s UTAUT2 theoretical framework to investigate EHR adoption with an added construct of the patient’s self-perception.

Reginald A Silver, Chandrasekar Subramaniam, Antonis Stylianou

J Med Internet Res 2020;22(3):e16260


Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Although the predictive power of the proposed model is comparable with the predictive power of the original UTAUT model (48%), it is higher than the predictive power of models proposed by other studies in the context of ePHRs: Hsieh [90] (42.7%) and Tavares and Oliveira

Alaa Abd-Alrazaq, Bridgette M Bewick, Tracey Farragher, Peter Gardner

J Med Internet Res 2019;21(7):e12373


Use and the Users of a Patient Portal: Cross-Sectional Study

Use and the Users of a Patient Portal: Cross-Sectional Study

Tavares and Oliveira [21] adapted UTAUT to the eHealth consumer context (UTAUT2) and showed that in addition to performance expectancy and effort expectancy, habit and self-perception (defined as perceived severity of the health complaint) are drivers of the

Bas Hoogenbosch, Jeroen Postma, Janneke M. de Man-van Ginkel, Nicole AM Tiemessen, Johannes JM van Delden, Harmieke van Os-Medendorp

J Med Internet Res 2018;20(9):e262


New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey

New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey

others.H11: Use behavior will positively influence intention to recommend EHR portals to others.MethodsMeasurementsAll the items were adopted from the studies by Venkatesh et al [26], Wilson and Lankton [25], van de Kar et al [30], Moore and Benbasat [36], and Oliveira

Jorge Tavares, Tiago Oliveira

J Med Internet Res 2018;20(11):e11032


Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis

This finding is in line with the findings of a study conducted by Tavares and Oliveira, who did not find a significant association between FCs and BI to use ePHRs [40].

Alaa Abd-Alrazaq, Ali Abdallah Alalwan, Brian McMillan, Bridgette M Bewick, Mowafa Househ, Alaa T AL-Zyadat

J Med Internet Res 2020;22(10):e17499