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The Acceptance of Nursing Information Systems: An Analysis Using UTAUT

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Contemporary Consumer Health Informatics

Abstract

Nurses are the largest group of health-care professionals in hospitals providing 24-h care to patients. Hence, nurses are pivotal in coordinating and communicating patient care information in the complex network of health-care professionals, services, and other care processes. Further, surveillance and timely interventions by nurses impact quality of care, reduce errors, and decrease health-care costs. Information communication technologies (ICTs) provide the capabilities to support many aspects of nursing care. However, within the context of acute nursing care, there is a lack of integrated technology solutions to support the complex interactions associated with nursing activities and thereby the delivery of high-quality and safe care. Generally, to date, the literature reports low levels of acceptance of ICT solutions by nurses. To address this, the following discussion serves to examine nurses’ acceptance of an integrated point-of-care solution for acute nursing contexts. The ICT was specifically designed to be sensitive to nurses’ needs with the expectation that this will lead to high levels of user acceptance. An evaluation of the acceptability of the proposed solution is presented using unified theory of acceptance and use of technology (UTAUT). Through the UTAUT lens, initial reactions of the participating nurses were examined. The findings provided us with feedback to redesign the solution to better fit with the dynamics and complexity of nursing care. The study has implications for theory, including using UTAUT in health-care contexts, and for practice, including recommendations for the design and development of ICT solutions suitable for nursing contexts.

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Notes

  1. 1.

    FC* was calculated without FC3.

References

  • Alaszewski, A. (2005). Risk, safety and organizational change in health care? Health, Risk & Safety, 7(4), 315–318.

    Article  Google Scholar 

  • Cornell, P., Herrin-Griffith, D., Keim, C., Petschonek, S., Sanders, A. M., D’Mello, S., Golden, T. W., & Shepherd, G. (2010a). Transforming nursing workflow, part 1: The chaotic nature of nurse activities. Journal of Nursing Administration, 40(9), 366–373. doi:310.1097/NNA.1090b1013e3181ee4261.

    Article  PubMed  Google Scholar 

  • Cornell, P., Riordan, M., & Herrin-Griffith, D. (2010b). Transforming nursing workflow, part 2: The impact of technology on nurse activities. Journal of Nursing Administration, 40(10), 432–439. doi:410.1097/NNA.1090b1013e3181f1092eb1093f.

    Article  PubMed  Google Scholar 

  • Darbyshire, P. (2004). ‘Rage against the machine?’: Nurses’ and midwives’ experiences of using computerized patient information systems for clinical information. Journal of Clinical Nursing, 13(1), 17–25.

    Article  PubMed  Google Scholar 

  • Dowding, D., Mitchell, N., Randell, R., Foster, R., Lattimer, V., & Thompson, C. (2009). Nurses’ use of computerised clinical decision support systems: A case site analysis. Journal of Clinical Nursing, 18(8), 1159–1167. doi:10.1111/j.1365-2702.2008.02607.x.

    Article  PubMed  Google Scholar 

  • Garg, A. X., Adhikari, N. K. J., McDonald, H., Rosas-Arellano, M. P., Devereaux, P. J., Beyene, J., Sam, J., & Haynes, R. B. (2005). Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: A systematic review. Journal of the American Medical Association, 293(10), 1223–1238.

    Article  CAS  PubMed  Google Scholar 

  • Heselmans, A., Aertgeerts, B. P. D., Geens, S., Van de Velde, S., & Ramaekers, D. (2012). Family physicians’ perceptions and use of electronic clinical decision support during the first year of implementation. Journal of Medical Systems, 36(6), 3677–3684. doi:10.1007/s10916-012-9841-3.

    Article  PubMed  Google Scholar 

  • Holden, R. J. (2010). Physicians beliefs about using EMR and CPOE: In pursuit of a contextualized understanding of health IT use behavior. International Journal of Medical Informatics, 79(2), 71–80. doi:10.1016/j.ijmedinf.2009.12.003.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jennings, J. M., Stover, J. A., Bair-Merritt, M. H., Fichtenber, C., Munoz, M. G., Maziad, R., Ketemepi, S. J., & Zenilman, J. (2009). Identifying challenges to the integration of computer-Based surveillance information systems in large city health department: A case study. Public Health Reports, 124(2), 39–48.

    PubMed Central  Google Scholar 

  • Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005). Improving clinical practice using clinical decision support systems: A systematic review of trials to identify features critical to success. BMJ, 330(7494), 765. doi:10.1136/bmj.38398.500764.8F.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kowitlawakul, Y. (2011). The technology acceptance model: Predicting nurses’ intention to use telemedicine technology (eICU). Computers Informatics Nursing, 29(7), 411–418. doi:410.1097/NCN.1090b1013e3181f1099dd1094a.

    Article  Google Scholar 

  • Lau, F., Kuziemsky, C., Price, M., & Gardner, J. (2010). A review on systematic reviews of health information system studies. Journal of the American Medical Informatics Association, 17(6), 637–645. doi:10.1136/jamia.2010.004838.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mills, J., Chamberlain-Salaun, J., Henry, R., Sando, J., & Summers, G. (2013). Nurses in Australian acute care settings: Experiences with and outcomes of e-health. An integrative review. International Journal of Management & Information Technology, 2(2), 1–8.

    Google Scholar 

  • Rogers, E. (2003). Diffusion of innovations (5th ed.). New York: Free Press.

    Google Scholar 

  • Rogers, M. L., Sockolow, P. S., Bowles, K. H., Hand, K. E., & George, J. (2013). Use of a human factors approach to uncover informatics needs of nurses in documentation of care. International Journal of Medical Informatics, 82(11), 1068–1074.

    Article  PubMed  Google Scholar 

  • Stevenson, J., Nilsson, G., Petersson, G., & Johanssson, P. (2010). Nurses’ experience of using electronic patient records in everyday practice in acute/inpatient ward settings: A literature review. Health Informatics Journal, 16(1), 63–72.

    Article  PubMed  Google Scholar 

  • Turley, J. P. (1996). Toward a model for nursing informatics. Journal of Nursing Scholarship, 28(4), 309–313.

    Article  CAS  Google Scholar 

  • Venkatesh, V., Morris, M. G., Gordon, B. D., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Google Scholar 

  • Venkatesh, V., Thong, J. Y. L., & Xin, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Google Scholar 

  • Viitanen, J., Hypponen, H., Laaveri, T., Vanska, J., Reponen, J., & Winblad, I. (2011). National questionnaire study on clinical ICT systems proofs: Physicians suffer from poor usability. International Journal of Medical Informatics, 80(10), 708–725.

    Article  PubMed  Google Scholar 

  • Weber, S. (2007). A qualitative analysis of how advanced practice nurses use clinical decision support systems. Journal of the American Academy of Nurse Practitioners, 19(12), 652–667. doi:10.1111/j.1745-7599.2007.00266.x.

    Article  PubMed  Google Scholar 

  • Weber, S., Crago, E. A., Sherwood, P. R., & Smith, T. (2009). Practitioner approaches to the integration of clinical decision support system technology in critical care. Journal of Nursing Administration, 39(11), 465–469. doi:10.1097/NNA.0b013e3181bd5fc2.

    Article  PubMed  Google Scholar 

  • Wills, M. J., El-Gayar, O. F., & Bennett, D. (2008). Examining health care professionals’ acceptance of electronic medical records using UTAUT. Issues in Information Systems, 9(2), 396–401.

    Google Scholar 

  • Yu, P., Li, H., & Gagnon, M.-P. (2009). Health IT acceptance factors in long-term care facilities: A cross-sectional survey. International Journal of Medical Informatics, 78(4), 219–229. doi:10.1016/j.ijmedinf.2008.07.006.

    Article  PubMed  Google Scholar 

  • Yun-Ke, C., Khoo, C., Nourbakhsh, A., & Gan, A. (26–27 Sept 2009). Requirement analysis for a nursing decision support system. Paper presented at the Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference.

    Google Scholar 

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Correspondence to Lemai Nguyen .

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Nguyen, L. et al. (2016). The Acceptance of Nursing Information Systems: An Analysis Using UTAUT. In: Wickramasinghe, N., Troshani, I., Tan, J. (eds) Contemporary Consumer Health Informatics. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-25973-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-25973-4_19

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