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

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LISS 2022 (LISS 2022)

Part of the book series: Lecture Notes in Operations Research ((LNOR))

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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.

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Acknowledgements

This work was supported by the Fundamental Research Funds for the Central University (B22YJS00020); National Social Science Foundation of China (18ZDA086); the National Natural Science Foundation of China (62173025). This work was supported by the Beijing Logistics Informatics Research Base.

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Correspondence to Runtong Zhang .

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Wu, P., Zhang, R. (2023). Understanding the Antecedents of Patient Self-management Behavior in Online Health Communities: An Application of the UTAUT Model. In: Shang, X., Fu, X., Ma, Y., Gong, D., Zhang, J. (eds) LISS 2022. LISS 2022. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-99-2625-1_3

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