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Determinants of Telehealth Continuance Intention: A Multi-Perspective Framework.
Hsieh, Hui-Lung; Lai, Jhih-Ming; Chuang, Bi-Kun; Tsai, Chung-Hung.
  • Hsieh HL; Chu Shang Show Chwan Hospital, Nantou 557, Taiwan.
  • Lai JM; Department of Information Technology and Management, Tzu Chi University of Science and Technology, Hualien 973302, Taiwan.
  • Chuang BK; Chu Shang Show Chwan Hospital, Nantou 557, Taiwan.
  • Tsai CH; Department of Information Technology and Management, Tzu Chi University of Science and Technology, Hualien 973302, Taiwan.
Healthcare (Basel) ; 10(10)2022 Oct 15.
Article in English | MEDLINE | ID: covidwho-2071365
ABSTRACT
Owing to the COVID-19 pandemic, many countries' physicians in the world have used telehealth to visit patients via telehealth. The study aimed to integrate the theory of planned behavior (TPB), the technology acceptance model (TAM), and self-determination theory (SDT) to explore the adoption behavior of a telehealth system. A convenient sample of residents was drawn from the population of Nantou County in Taiwan and analyzed via structural equation modeling. The findings revealed that attitude, perceived behavioral control, perceived usefulness, and perceived autonomy support jointly have significantly positive effects on continuance intention. Results also confirmed that perceived autonomy support, perceived ease of use, and perceived usefulness jointly have significantly positive effects on attitude. Furthermore, this study also showed that a crucial mediators' role is played by perceived ease of use, perceived usefulness, and attitude. The conclusions and practical implications of the research will hopefully provide health organizations and institutions with some innovative insights and foresights, which in turn will promote better practices and services of telehealth technology.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2022 Document Type: Article Affiliation country: Healthcare10102038

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Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2022 Document Type: Article Affiliation country: Healthcare10102038