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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

Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development

Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development

intention in the chronic conditions group, which will be significantly higher when compared to that of the healthy group.MethodsMeasurementAll of the measurement items for each of the constructs described above were adapted from Venkatesh et al [21], Tavares and Oliveira

Tânia Salgado, Jorge Tavares, Tiago Oliveira

JMIR Mhealth Uhealth 2020;8(7):e17588

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