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A Study of Personal Health Record User’s Behavioral Model Based on the PMT and UTAUT Integrative Perspective

Author

Listed:
  • Hui-Lung Hsieh

    (Chu Shang Show Chwan Hospital, Nantou 557, Taiwan)

  • Yu-Ming Kuo

    (Department of Marketing and Distribution, Tzu Chi University of Science and Technology, Hualien 970, Taiwan)

  • Shiang-Ru Wang

    (Department of Business Administraiton, National Dong Hwa University, Hualien 974, Taiwan)

  • Bi-Kun Chuang

    (Chu Shang Show Chwan Hospital, Nantou 557, Taiwan)

  • Chung-Hung Tsai

    (Department of Health Administration, Tzu Chi University of Science and Technology, Hualien 974, Taiwan)

Abstract

The personal health record (PHR) is a system that enables borderless medical care services by combining technological innovation and human consideration. This study explored factors affecting the adoption of PHR from technical, medical, and social perspectives according to the Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT) model. A survey using a structured questionnaire was subsequently conducted, which produced the following results: (1) The PMT and UTAUT were effective at predicting PHR usage behaviors; (2) Perceived ease-of-use was the most decisive factor influencing the use of PHR, followed by self-efficacy and perceived usefulness; and (3) Behavioral intention for PHR was significantly and positively correlated with usage behavior. From the obtained results, this study recommends that health authorities and medical institutions promote self-efficacy in the use of PHR to improve the levels of behavioral intention and usage behavior among the people. Additionally, medical care institutions are recommended to promote health management and preventive healthcare concepts to help improve public acceptance of the PHR system as a means to self-manage their health. Finally, community centers, medical institutions, and health authorities are urged to work together to enhance public medical knowledge and pool resources for the PHR system, both of which are essential for improving the popularity of the PHR, public quality of life, and the effectiveness of health management.

Suggested Citation

  • Hui-Lung Hsieh & Yu-Ming Kuo & Shiang-Ru Wang & Bi-Kun Chuang & Chung-Hung Tsai, 2016. "A Study of Personal Health Record User’s Behavioral Model Based on the PMT and UTAUT Integrative Perspective," IJERPH, MDPI, vol. 14(1), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:14:y:2016:i:1:p:8-:d:86040
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    References listed on IDEAS

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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Cynthia Sau Ting Wu & Ho Ting Wong & Lai Yan Chou & Bobby Pak Wai To & Wai Lok Lee & Alice Yuen Loke, 2014. "Correlates of Protective Motivation Theory (PMT) to Adolescents’ Drug Use Intention," IJERPH, MDPI, vol. 11(1), pages 1-14, January.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. Ira Puspitasari & Alia Firdauzy, 2019. "Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    2. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    3. Adi Alsyouf & Abdalwali Lutfi & Nizar Alsubahi & Fahad Nasser Alhazmi & Khalid Al-Mugheed & Rami J. Anshasi & Nora Ibrahim Alharbi & Moteb Albugami, 2023. "The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability," IJERPH, MDPI, vol. 20(2), pages 1-24, January.
    4. Xingyuan Wang & Yun Liu & Hongchen Liu, 2020. "Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge," IJERPH, MDPI, vol. 17(3), pages 1-16, February.

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