TY - JOUR
T1 - Predicting consumer intention to use electronic health service: An empirical structural equation modeling approach
AU - Bondzie-Micah, Victor
AU - Sun, Qigui
AU - Arkorful, Vincent Ekow
AU - Lugu, Benjamin Kweku
AU - Bentum-Micah, Geoffrey
AU - Ayi-Bonte, Aurelia Naa Ayikaikor
N1 - Funding Information:
The authors were not supported financially. All cost relating to the research was borne by the authors. The researchers of this study gracefully express our genuine gratitude to the respondents for their cooperation in making it possible for the paper completion.
Publisher Copyright:
© 2021 John Wiley & Sons, Ltd.
PY - 2022/11
Y1 - 2022/11
N2 - The enormous potential inherent in the use of technological enhancements has subsequently informed the deployment of technologies into mainstream health service and delivery. However, a larger population of health technology consumers, specifically patients, are touted to be significantly constrained in its usage. Against this backdrop, our study employs an integrated model anchored on the technology acceptance model and the theory of planned behavior to investigate patients' electronic health use. Our study elicited data from 360 respondents, of which 311 were deemed feasible for the study. Structural equation modeling analysis of data revealed perceived usefulness and perceived ease of use has a relevant positive effect on attitude. Furthermore, the authors found; attitude, internet dependency, perceived behavioral control and the subjective norm also have a relevant positive impact on intention to use electronic health service. Premised on the findings, recommendations about enhancing consumer electronic health use and areas for further studies are successively delineated.
AB - The enormous potential inherent in the use of technological enhancements has subsequently informed the deployment of technologies into mainstream health service and delivery. However, a larger population of health technology consumers, specifically patients, are touted to be significantly constrained in its usage. Against this backdrop, our study employs an integrated model anchored on the technology acceptance model and the theory of planned behavior to investigate patients' electronic health use. Our study elicited data from 360 respondents, of which 311 were deemed feasible for the study. Structural equation modeling analysis of data revealed perceived usefulness and perceived ease of use has a relevant positive effect on attitude. Furthermore, the authors found; attitude, internet dependency, perceived behavioral control and the subjective norm also have a relevant positive impact on intention to use electronic health service. Premised on the findings, recommendations about enhancing consumer electronic health use and areas for further studies are successively delineated.
UR - http://www.scopus.com/inward/record.url?scp=85103036113&partnerID=8YFLogxK
U2 - 10.1002/pa.2677
DO - 10.1002/pa.2677
M3 - Journal article
SN - 1472-3891
VL - 22
JO - Journal of Public Affairs
JF - Journal of Public Affairs
IS - 4
M1 - e2677
ER -