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The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors

Author

Listed:
  • Hailiang Wang

    (School of Design, The Hong Kong Polytechnic University, Hong Kong, China)

  • Jiaxin Zhang

    (School of Design, The Hong Kong Polytechnic University, Hong Kong, China)

  • Yan Luximon

    (School of Design, The Hong Kong Polytechnic University, Hong Kong, China)

  • Mingfu Qin

    (School of Primary Education, Hunan Vocational College for Nationalities, Yueyang 414000, China)

  • Ping Geng

    (Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China)

  • Da Tao

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

Mobile medical platforms (MMPs) can make medical services more accessible and effective. However, the patient-centered factors that influence patients’ acceptance of MMPs are not well understood. Our study examined the factors affecting patients’ acceptance of MMPs by integrating the theory of planned behavior (TPB), the technology acceptance model (TAM), and three patient-centered factors (i.e., perceived convenience, perceived credibility, and perceived privacy risk). Three hundred and eighty-nine Chinese respondents were recruited in this study and completed a self-administered online questionnaire that included items adapted from validated measurement scales. The partial least squares structural equation modeling results revealed that perceived privacy risk, perceived credibility, and perceived ease of use directly determined the perceived usefulness of an MMP. Perceived convenience, perceived credibility, and perceived usefulness significantly affected the patients’ attitudes toward MMPs. Perceived usefulness, attitude, perceived privacy risk, and perceived behavioral control were important determinants of the patients’ behavioral intentions to use MMPs. Behavioral intention and perceived behavioral control significantly influenced perceived effective use. Perceived credibility and perceived ease of use significantly affected perceived convenience. However, social influence had no significant effect on attitude and behavioral intention. The study provides important theoretical and practical implications, which could help practitioners enhance the patients’ use of MMPs for their healthcare activities.

Suggested Citation

  • Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10758-:d:900900
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    Cited by:

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    2. Fan Xu & Jing Hu & Duanduan Liu & Chao Zhou, 2024. "Towards Sustainable Healthcare: Exploring Factors Influencing Use of Mobile Applications for Medical Escort Services," Sustainability, MDPI, vol. 16(14), pages 1-19, July.
    3. Jui-Che Tu & Xi-Hui Jia, 2024. "A Study on Immersion and Intention to Pay in AR Broadcasting: Validating and Expanding the Hedonic Motivation System Adoption Mode," Sustainability, MDPI, vol. 16(5), pages 1-37, February.
    4. Jiexiang Jin & Mi Hyun Ryu, 2024. "Sustainable Healthcare in China: Analysis of User Satisfaction, Reuse Intention, and Electronic Word-of-Mouth for Online Health Service Platforms," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
    5. Xin Wang & Xingmeng Ma & Ziyi Wang & Yanlong Guo, 2024. "A Study on the Factors Influencing the Sustainable Development of Education in the Context of COVID-19: Tencent Conference Online Platform," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    6. Irianna Futri & Chavis Ketkaew & Phaninee Naruetharadhol, 2024. "Influential Factors Affecting the Intention to Utilize Advance Care Plans (ACPs) in Thailand and Indonesia," Societies, MDPI, vol. 14(8), pages 1-20, July.
    7. Jiaxin Chen & Ting Li & Hua You & Jingyu Wang & Xueqing Peng & Baoyi Chen, 2023. "Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study," IJERPH, MDPI, vol. 20(4), pages 1-11, February.

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