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An Investigation of Patient Decisions to Use eHealth: A View of Multichannel Services

An Investigation of Patient Decisions to Use eHealth: A View of Multichannel Services

Suli Zheng (China Jiliang University, China), Po-Ya Chang (National Taipei University of Nursing and Health Sciences, Taiwan), Jiahe Chen (Western Sydney University, Australia), Yu-Wei Chang (National Taichung University of Science and Technology, Taiwan), and Hueng-Chuen Fan (Tungs' Taichung Metroharbor Hospital, Taiwan & National Chung Hsing University, China & Jen-Teh Junior College of Medicine, Taiwan)
Copyright: © 2022 |Volume: 34 |Issue: 4 |Pages: 24
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781799893271|DOI: 10.4018/JOEUC.289433
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MLA

Zheng, Suli, et al. "An Investigation of Patient Decisions to Use eHealth: A View of Multichannel Services." JOEUC vol.34, no.4 2022: pp.1-24. https://doi.org/10.4018/JOEUC.289433

APA

Zheng, S., Chang, P., Chen, J., Chang, Y., & Fan, H. (2022). An Investigation of Patient Decisions to Use eHealth: A View of Multichannel Services. Journal of Organizational and End User Computing (JOEUC), 34(4), 1-24. https://doi.org/10.4018/JOEUC.289433

Chicago

Zheng, Suli, et al. "An Investigation of Patient Decisions to Use eHealth: A View of Multichannel Services," Journal of Organizational and End User Computing (JOEUC) 34, no.4: 1-24. https://doi.org/10.4018/JOEUC.289433

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Abstract

eHealth service has received increasing attention. Patients can consult online doctors via the Internet, and then physically visit the doctors for further diagnosis and treatments. Although extant research has focused on the adoption of eHealth services, the decision-making process from online to offline health services still remains unclear. This study aims to examine patients’ decisions to use online and offline health services by integrating the extended valence framework and the halo effect. By analyzing 221 samples with online consultation experiences, the results show that trust significantly influences perceived benefits and perceived risks, while trust, perceived benefits, and perceived risks significantly influence the intention to consult. The intention to consult positively influences the intention to visit. Considering the moderating effects of payment types, the influence of perceived risks on the intention to consult is larger for the free group than for the paid group. The findings are useful to better understand patients’ decisions to use eHealth.