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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Rogers, E. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
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.
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.
Turley, J. P. (1996). Toward a model for nursing informatics. Journal of Nursing Scholarship, 28(4), 309–313.
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.
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.
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.
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.
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.
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.
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.
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-25973-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25971-0
Online ISBN: 978-3-319-25973-4
eBook Packages: MedicineMedicine (R0)