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  • Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling

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    Zobair513529-Published.pdf (1.278Mb)
    File version
    Version of Record (VoR)
    Author(s)
    Zobair, Khondker Mohammad
    Sanzogni, Louis
    Houghton, Luke
    Islam, Md Zahidul
    Griffith University Author(s)
    Sanzogni, Louis
    Houghton, Luke
    Zobair, Khondker Mohammad
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural public hospitals settings in Bangladesh through the adaptation of Expectation Disconfirmation Theory extended by Social Cognitive Theory. This research advances a theoretically sustained prediction model forecasting patients' satisfaction with telemedicine to enable informed decision making. A research model explores four potential antecedents: expectations, performance, disconfirmation, ...
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    Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural public hospitals settings in Bangladesh through the adaptation of Expectation Disconfirmation Theory extended by Social Cognitive Theory. This research advances a theoretically sustained prediction model forecasting patients' satisfaction with telemedicine to enable informed decision making. A research model explores four potential antecedents: expectations, performance, disconfirmation, and enjoyment; that significantly contribute to predicting patients' satisfaction concerning telemedicine adoption in Bangladesh. This model is validated using two-staged structural equation modeling and artificial neural network approaches. The findings demonstrate the determinants of patients' satisfaction with telemedicine. The presented model will assist medical practitioners, academics, and information systems practitioners to develop high-quality decisions in the future application of telemedicine. Pertinent implications, limitations and future research directions are endorsed securing long-term telemedicine sustainability.
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    Journal Title
    PLoS One
    Volume
    16
    Issue
    9
    DOI
    https://doi.org/10.1371/journal.pone.0257300
    Copyright Statement
    © 2021 Zobair et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
    Subject
    Public health
    Health informatics and information systems
    Information systems
    Publication URI
    http://hdl.handle.net/10072/408561
    Collection
    • Journal articles

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