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Patients’ Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test

Patients’ Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test

To fill this knowledge gap, this study aimed to develop and test a theoretical model to predict and explain patient acceptance of smartphone technology for chronic disease management.

Kaili Dou, Ping Yu, Ning Deng, Fang Liu, YingPing Guan, Zhenye Li, Yumeng Ji, Ningkai Du, Xudong Lu, Huilong Duan

JMIR Mhealth Uhealth 2017;5(12):e177


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

The theoretical frameworks utilized by those studies comprised expectancy value models, the Theory of Planned Behavior, the Technology Acceptance Model (TAM), and a behavioral model of Web-based information seeking.

Reginald A Silver, Chandrasekar Subramaniam, Antonis Stylianou

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


Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review

Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review

His final model is called the Unified Theory of Acceptance and Use of Technology (UTAUT). As relevant predictors of acceptance vary between these 2 models, so do the definitions of technology acceptance within the models.

Lorenz Harst, Hendrikje Lantzsch, Madlen Scheibe

J Med Internet Res 2019;21(5):e13117


Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study

Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study

The Technology Acceptance Model (TAM), developed in the late 1980s to study the use of digital technologies by employees, is a standard model to conduct acceptance research in the medical sector [3].According to TAM, the user’s intention to employ a new information

Sabur Safi, Gerhard Danzer, Kurt JG Schmailzl

JMIR Hum Factors 2019;6(4):e13472


Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

influential models that has been used to assess the acceptance of technologies is the Technology Acceptance Model (TAM) [28], originally developed by Davis [29] in 1989.

Gorkem Akdur, Mehmet Nafiz Aydin, Gizdem Akdur

JMIR Mhealth Uhealth 2020;8(10):e16911


Integrating Health Belief Model and Technology Acceptance Model: An Investigation of Health-Related Internet Use

Integrating Health Belief Model and Technology Acceptance Model: An Investigation of Health-Related Internet Use

Internet Use From the Technology Acceptance ModelOther studies that contribute toward the extant literature include those that are based on the Technology Acceptance Model (TAM) [36,37].

Ashraf Sadat Ahadzadeh, Saeed Pahlevan Sharif, Fon Sim Ong, Kok Wei Khong

J Med Internet Res 2015;17(2):e45


Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity

Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity

The technology acceptance model (TAM) guided this assessment. The TAM posits that a person’s intention (acceptance) to use a new technology such as a PAM depends on their perceptions of its ease-of-use and its usefulness [13].

Siobhan K McMahon, Beth Lewis, Michael Oakes, Weihua Guan, Jean F Wyman, Alexander J Rothman

JMIR Mhealth Uhealth 2016;4(2):e35



        Exploring the Usage Intentions of Wearable Medical Devices: A Demonstration Study

Exploring the Usage Intentions of Wearable Medical Devices: A Demonstration Study

Specifically, it revisits a popular contemporary adoption theory (unified theory of acceptance and use of technology [UTAUT] [4]) by augmenting it to better capture wearable medical device environments.

Chiao-Chen Chang

Interact J Med Res 2020;9(3):e19776