Predicting consumer intention to use electronic health service: An empirical structural equation modeling approach

Victor Bondzie-Micah*, Qigui Sun, Vincent Ekow Arkorful, Benjamin Kweku Lugu, Geoffrey Bentum-Micah, Aurelia Naa Ayikaikor Ayi-Bonte

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    10 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Article numbere2677
    JournalJournal of Public Affairs
    Volume22
    Issue number4
    Early online date25 Mar 2021
    DOIs
    Publication statusPublished - Nov 2022

    Scopus Subject Areas

    • Political Science and International Relations
    • Public Administration

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