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The intention to use an electronic health record and its antecedents among three different categories of clinical staff

Author

Listed:
  • Claudio Vitari

    (MTS - Management Technologique et Strategique - EESC-GEM Grenoble Ecole de Management)

  • Roxana Ologeanu-Taddei

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

Abstract

Background Like other sectors, the healthcare sector has to deal with the issue of users' acceptance of IT. In healthcare, different factors affecting healthcare professionals' acceptance of software applications have been investigated. Unfortunately, inconsistent results have been found, maybe because the different studies focused on different IT and occupational groups. Consequently, more studies are needed to investigate these implications for recent technology, such as Electronic Health Records (EHR). Methods Given these findings in the existing literature, we pose the following research question: "To what extent do the different categories of clinical staff (physicians, paraprofessionals and administrative personnel) influence the intention to use an EHR and its antecedents?" To answer this research question we develop a research model that we empirically tested via a survey, including the following variables: intention to use, ease of use, usefulness, anxiety, self-efficacy, trust, misfit and data security. Our purpose is to clarify the possible differences existing between different staff categories. Results For the entire personnel, all the hypotheses are confirmed: anxiety, self-efficacy, trust influence ease of use; ease of use, misfit, self-efficacy, data security impact usefulness; usefulness and ease of use contribute to intention to use the EHR. They are also all confirmed for physicians, residents, carers and nurses but not for secretaries and assistants. Secretaries' and assistants' perception of the ease of use of EHR does not influence their intention to use it and they could not be influenced by self-efficacy in the development of their perception of the ease of use of EHR. Conclusions These results may be explained by the fact that secretaries, unlike physicians and nurses, have to follow rules and procedures for their work, including working with EHR. They have less professional autonomy than healthcare professionals and no medical responsibility. This result is also in line with previous literature highlighting that administrators are more motivated by the use of IT in healthcare.

Suggested Citation

  • Claudio Vitari & Roxana Ologeanu-Taddei, 2018. "The intention to use an electronic health record and its antecedents among three different categories of clinical staff," Post-Print halshs-01923238, HAL.
  • Handle: RePEc:hal:journl:halshs-01923238
    DOI: 10.1186/s12913-018-3022-0
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01923238
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Nancy Paule Melone, 1990. "A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research," Management Science, INFORMS, vol. 36(1), pages 76-91, January.
    3. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    4. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    5. Reich, Adam, 2012. "Disciplined doctors: The electronic medical record and physicians' changing relationship to medical knowledge," Social Science & Medicine, Elsevier, vol. 74(7), pages 1021-1028.
    6. Viswanath Venkatesh & Xiaojun Zhang & Tracy A. Sykes, 2011. "“Doctors Do Too Little Technology”: A Longitudinal Field Study of an Electronic Healthcare System Implementation," Information Systems Research, INFORMS, vol. 22(3), pages 523-546, September.
    7. Tarabashkina, Liudmila & Quester, Pascale & Crouch, Roberta, 2016. "Exploring the moderating effect of children's nutritional knowledge on the relationship between product evaluations and food choice," Social Science & Medicine, Elsevier, vol. 149(C), pages 145-152.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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