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Factors Determining E-Health Readiness by Higher Education Institution Students in an Emerging Country

Factors Determining E-Health Readiness by Higher Education Institution Students in an Emerging Country

Onneile Juliet Ntseme, Osden Jokonya, Joshua Ebere Chukwuere
Copyright: © 2020 |Pages: 24
ISBN13: 9781799819370|ISBN10: 179981937X|EISBN13: 9781799819387
DOI: 10.4018/978-1-7998-1937-0.ch006
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MLA

Ntseme, Onneile Juliet, et al. "Factors Determining E-Health Readiness by Higher Education Institution Students in an Emerging Country." Exploring the Role of ICTs in Healthy Aging, edited by David Mendes, et al., IGI Global, 2020, pp. 95-118. https://doi.org/10.4018/978-1-7998-1937-0.ch006

APA

Ntseme, O. J., Jokonya, O., & Chukwuere, J. E. (2020). Factors Determining E-Health Readiness by Higher Education Institution Students in an Emerging Country. In D. Mendes, C. Fonseca, M. Lopes, J. García-Alonso, & J. Murillo (Eds.), Exploring the Role of ICTs in Healthy Aging (pp. 95-118). IGI Global. https://doi.org/10.4018/978-1-7998-1937-0.ch006

Chicago

Ntseme, Onneile Juliet, Osden Jokonya, and Joshua Ebere Chukwuere. "Factors Determining E-Health Readiness by Higher Education Institution Students in an Emerging Country." In Exploring the Role of ICTs in Healthy Aging, edited by David Mendes, et al., 95-118. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1937-0.ch006

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Abstract

Information and communication technologies (ICTs) are important for improving healthcare services worldwide. Using tools related to ICTs such as smartphones (cell phones), video conferencing, computers enhances the delivery of health services as well as electronic health (e-health). Therefore, this study's main objective is to investigate the e-health readiness for higher education institution students in an emerging country (Botswana). The study achieved this by identifying the readiness factors that affect the adoption of e-health using the conceptual framework (technology readiness and acceptance model for e-health). The study established that students' optimism, innovativeness, discomfort, and insecurity influence e-health perceived ease of use. However, only optimism and discomfort influence e-health perceived usefulness whereas innovativeness and insecurity did not influence e-health perceived usefulness. Additionally, the study found out that e-health perceived usefulness and e-health perceived ease of use have an influence on e-health adoption.

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