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Patients’ Acceptance towards a Web-Based Personal Health Record System: An Empirical Study in Taiwan

Author

Listed:
  • Chung-Feng Liu

    (Department of Information Management, Chia Nan University of Pharmacy and Science, No. 60, Sec.1, Erh-Jen Rd., Jen-Te Dist., Tainan 717, Taiwan)

  • Yung-Chieh Tsai

    (Department of Obstetrics and Gynecology, Chi-Mei Medical Center, No. 901, Zhonghua Rd., Yongkang Dist., Tainan 710, Taiwan
    Department of Medicine, Taipei Medical University, 250 Wu-Hsing Street, Taipei 110, Taiwan
    Department of Sports Management, Chia Nan University of Pharmacy and Science, No. 60, Sec.1, Erh-Jen Rd., Jen-Te Dist., Tainan 717, Taiwan)

  • Fong-Lin Jang

    (Psychiatry Department, Chi-Mei Medical Center, No. 442, Sec. 2, Shulin St., South Dist., Tainan 70246, Taiwan)

Abstract

The health care sector has become increasingly interested in developing personal health record (PHR) systems as an Internet-based telehealthcare implementation to improve the quality and decrease the cost of care. However, the factors that influence patients’ intention to use PHR systems remain unclear. Based on physicians’ therapeutic expertise, we implemented a web-based infertile PHR system and proposed an extended Technology Acceptance Model (TAM) that integrates the physician-patient relationship (PPR) construct into TAM’s original perceived ease of use (PEOU) and perceived usefulness (PU) constructs to explore which factors will influence the behavioral intentions (BI) of infertile patients to use the PHR. From ninety participants from a medical center, 50 valid responses to a self-rating questionnaire were collected, yielding a response rate of 55.56%. The partial least squares (PLS) technique was used to assess the causal relationships that were hypothesized in the extended model. The results indicate that infertile patients expressed a moderately high intention to use the PHR system. The PPR and PU of patients had significant effects on their BI to use PHR, whereas the PEOU indirectly affected the patients’ BI through the PU. This investigation confirms that PPR can have a critical role in shaping patients’ perceptions of the use of healthcare information technologies. Hence, we suggest that hospitals should promote the potential usefulness of PHR and improve the quality of the physician-patient relationship to increase patients’ intention of using PHR.

Suggested Citation

  • Chung-Feng Liu & Yung-Chieh Tsai & Fong-Lin Jang, 2013. "Patients’ Acceptance towards a Web-Based Personal Health Record System: An Empirical Study in Taiwan," IJERPH, MDPI, vol. 10(10), pages 1-18, October.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:10:p:5191-5208:d:29636
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    1. Eugster, A. & Vingerhoets, A. J. J. M., 1999. "Psychological aspects of in vitro fertilization: a review," Social Science & Medicine, Elsevier, vol. 48(5), pages 575-589, March.
    2. 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.
    3. Scott, Anthony, 2000. "Economics of general practice," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 22, pages 1175-1200, Elsevier.
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    Cited by:

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    3. Chung-Hung Tsai, 2014. "Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems," IJERPH, MDPI, vol. 11(5), pages 1-21, May.
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    5. Yu-Ting Yeh & Min-Hui Hsu & Chien-Yuan Chen & Yu-Sheng Lo & Chien-Tsai Liu, 2014. "Detection of Potential Drug-Drug Interactions for Outpatients across Hospitals," IJERPH, MDPI, vol. 11(2), pages 1-15, January.

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