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Understanding the Antecedents of Patient Self-management Behavior in Online Health Communities: An Application of the UTAUT Model

In: Liss 2022

Author

Listed:
  • Pei Wu

    (Beijing Jiaotong University)

  • Runtong Zhang

    (Beijing Jiaotong University)

Abstract

Online health communities have emerged with the development of information and communication technology. Patients with chronic diseases can consult doctors in OHCs to achieve more efficient self-management. This study aims to explore the effects of OHCs acceptance on patient self-management based on the Unified Theory of Acceptance and Use of Technology. We conducted an online questionnaire survey of patients who have participated in OHCs and used partial least squares to analyze the data collected. The results show that performance expectancy and social influence positively affect patients’ continuous intention and health self-management behavior in OHCs. Moreover, the continuous intention has positively affected self-management behavior. However, effort expectancy has no significant positive effects on continuous intention and self-management behavior. Finally, the implications of theoretical and practical implications are discussed.

Suggested Citation

  • Pei Wu & Runtong Zhang, 2023. "Understanding the Antecedents of Patient Self-management Behavior in Online Health Communities: An Application of the UTAUT Model," Lecture Notes in Operations Research, in: Xiaopu Shang & Xiaowen Fu & Yixuan Ma & Daqing Gong & Juliang Zhang (ed.), Liss 2022, pages 31-44, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-2625-1_3
    DOI: 10.1007/978-981-99-2625-1_3
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