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Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems

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  • Chung-Hung Tsai

    (Department of Health Administration, Tzu Chi College of Technology, 880, Section 2, Chien-Kuo Road, Hualien 970, Taiwan)

Abstract

Telehealth has become an increasingly applied solution to delivering health care to rural and underserved areas by remote health care professionals. This study integrated social capital theory, social cognitive theory, and the technology acceptance model (TAM) to develop a comprehensive behavioral model for analyzing the relationships among social capital factors (social capital theory), technological factors (TAM), and system self-efficacy (social cognitive theory) in telehealth. The proposed framework was validated with 365 respondents from Nantou County, located in Central Taiwan. Structural equation modeling (SEM) was used to assess the causal relationships that were hypothesized in the proposed model. The finding indicates that elderly residents generally reported positive perceptions toward the telehealth system. Generally, the findings show that social capital factors (social trust, institutional trust, and social participation) significantly positively affect the technological factors (perceived ease of use and perceived usefulness respectively), which influenced usage intention. This study also confirmed that system self-efficacy was the salient antecedent of perceived ease of use. In addition, regarding the samples, the proposed model fitted considerably well. The proposed integrative psychosocial-technological model may serve as a theoretical basis for future research and can also offer empirical foresight to practitioners and researchers in the health departments of governments, hospitals, and rural communities.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:5:p:4905-4925:d:35837
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    References listed on IDEAS

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    Cited by:

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    2. Baudier, Patricia & Kondrateva, Galina & Ammi, Chantal & Chang, Victor & Schiavone, Francesco, 2023. "Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs," Technovation, Elsevier, vol. 120(C).
    3. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    4. Chanbeom Kwak & Saea Kim & Sunghwa You & Woojae Han, 2020. "Development of the Hearing Rehabilitation for Older Adults (HeRO) Healthcare Mobile Application and Its Likely Utility for Elderly Users," IJERPH, MDPI, vol. 17(11), pages 1-13, June.
    5. Jui-Che Tu & Shi Chen Luo & Yi-Lin Lee & Ming-Feng Shih & Shu-Ping Chiu, 2022. "Exploring Usability and Patient Attitude towards a Smart Hospital Service with the Technology Acceptance Model," IJERPH, MDPI, vol. 19(10), pages 1-19, May.
    6. Eunhye Kim & Semi Han, 2021. "Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model," IJERPH, MDPI, vol. 18(19), pages 1-19, October.
    7. Junjie Zhou & Tingting Fan, 2019. "Understanding the Factors Influencing Patient E-Health Literacy in Online Health Communities (OHCs): A Social Cognitive Theory Perspective," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
    8. Qutaiba Adeeb Odat & Hashem Alshurafat & Mohannad Obeid Al Shbail & Husam Ananzeh & Hamzeh Al Amosh, 2023. "Factors Affecting Accountants’ Adoption of Remote Working: Evidence from Jordanian Governmental Organizations," Sustainability, MDPI, vol. 15(17), pages 1-23, September.

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