Drivers of intentions to use healthcare information systems among health and care professionals

LJUBICIC, Vladimir, KETIKIDIS, Panayiotis H and LAZURAS, Lambros (2018). Drivers of intentions to use healthcare information systems among health and care professionals. Health Informatics Journal.

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Official URL: https://journals.sagepub.com/doi/full/10.1177/1460...
Link to published version:: https://doi.org/10.1177/1460458218813629
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    Abstract

    Although investment in healthcare technology is rapidly increasing, the readiness to use emerging technologies among healthcare professionals is still low. The present study relies on an integrated model derived from the unified theory of acceptance and use of technology and the diffusion of innovation model to assess the factors that predicted healthcare professionals’ intentions to use healthcare information systems. Using a cross-sectional correlational design, 105 healthcare professionals (M age = 41.06, standard deviation = 9.18; 49% consultants and General Practitioners (GPs); 56.2% females) from hospitals in England completed online structured questionnaires. One-way analysis of variance showed that there were no differences in healthcare information systems usage intentions, unified theory of acceptance and use of technology and diffusion of innovation variables between consultants/GPs and non-medical staff (i.e. nurses and administration staff). Linear regression analysis demonstrated that the integrative model predicted 78.1 per cent (adjusted R2) in intentions to use healthcare information systems, and variables from both unified theory of acceptance and use of technology and the diffusion of innovation had significant effects. Moderated regression analysis further revealed that the interaction between voluntariness and effort expectancy, and voluntariness and social influence significantly predicted usage intentions on top of the main effects of the individual predictors. This poses direct implications for both practice and theory in this field. Future research should consider the predictive validity of integrative theoretical models of technology acceptance and utilization in healthcare settings.

    Item Type: Article
    Additional Information: ** From Crossref via Jisc Publications Router **Journal IDs: pissn 1460-4582; eissn 1741-2811
    Uncontrolled Keywords: Health Informatics
    Identification Number: https://doi.org/10.1177/1460458218813629
    SWORD Depositor: Margaret Boot
    Depositing User: Margaret Boot
    Date Deposited: 22 Jan 2019 15:52
    Last Modified: 18 Mar 2019 11:23
    URI: http://shura.shu.ac.uk/id/eprint/23585

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