Assessing Nurses' Readiness for Bedside Medication Administration Technology
Main Article Content
Keywords
professional development, assessment, evidence-informed practice, integration, nursing.
Abstract
The ongoing concern regarding medication errors in hospitals has prompted the recommendation for the implementation of Information Technology (IT) in medication administration processes. This IT initiative aims to support nurses in administering medications safely, reduce the occurrence of medication errors, and enhance overall patient safety. Its imminent introduction in several hospitals underscores the importance of assessing nurses' readiness and acceptance of such technology, crucial for its successful adoption. This descriptive study utilized the Technology Acceptance Model to gauge nurses' preparedness for using IT in medication administration . The study involved nurses from three major hospitals in Beirut, gathering data on their demographics, attitudes, and perceptions of IT's usefulness and ease of use in medication administration. ,nurses voluntarily completing the questionnaire either manually or electronically. The findings revealed a correlation between nurses' attitudes towards the proposed IT system and their perceptions of its usefulness and ease of use. While a majority displayed a positive inclination towards the system and scored high on these perceptions, approximately 20% of nurses exhibited a negative attitude towards its adoption.
References
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31. Walstrom, K. A., & Wilson, R. L. (1997). Gaining user acceptance of an EIS. Information Systems Management, 14, 54–59.
2. Davis, D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475–487.
3. Department of Health and Human Services; Food and Drug Administration. (2004). Bar code label requirements for human drug products & biological products. Federal Register, 69(38). Retrieved from http://www.fda.gov/CbER/rules/barcodelabel.pdf
4. Beuscart-Zephir, C., Brender, J., Beuscart, R., & Menager-Depriester, I. (1997). Cognitive evaluation: how to assess the usability of information technology in healthcare. Computer Methods and Programs in Biomedicine, 54, 19–28.
5. Davis, D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, 982–1003.
6. Dillon, A., & Morris, M. (1996). User acceptance of new information technology: theories and models. Journal of the American Society for Information Science, 31, 3–32.
7. Davis, D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
8. Igbaria, M. (1993). User acceptance of microcomputer technology: an empirical test. OMEGA-International Journal of Management Science, 21, 73–90.
9. Cole, G. (1992). User acceptance key to success of voice processing. Computing Canada, 18, 39–40.
10. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall, Inc.
11. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research Reading. Boston, MA: Addison-Wesley.
12. Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.
13. Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly, 21, 279–305.
14. Keil, M., Beranek, P. M., & Konsynski, B. R. (1995). Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems, 13, 75–91.
15. Succi, M. J., & Walter, Z. D. (1999). Theory of user acceptance of information technologies: an examination of health care professionals. Proceedings of the 32nd Annual Hawaii International Conference on System Sciences (HICSS-32). Maui: IEEE Computer Society.
16. Benbasat, I., & Dexter, A. S. (1986). An Investigation of the effectiveness of color and graphical presentation under varying time constraints. MIS Quarterly, 59–84.
17. Baroudi, J., Olson, M. H., & Ives, B. (1986). An Empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29, 232–238.
18. Ginzberg, M. J. (1978). Steps towards more effective implementation of MS and MIS. Interfaces, 8, 57–63.
19. Huber, G. P. (1983). Cognitive style as a basis for MIS and DSS design: much ado about nothing? Management Science, 29, 567–582.
20. Greenly, M., & Gugerty, B. (2002). How bar coding reduces medication errors. Nursing, May, 1–2. Retrieved from http://findarticles.com/p/articles/mi_qa3689/is_200205/ai_n9084283
21. Ragan, R., Bond, J., Major, K., Kingsford, T., Eidem, L., & Garrelts, J. C. (2005). Improved control of medication use with an integrated barcode-packaging and distribution system. American Journal of Health-System Pharmacy, 62, 1075–1079.
22. Johnson, C. L., Carlson, R. A., Tucker, C. L., & Willette, C. (2002). Using BCMA software to improve patient safety in Veterans Administration medical centers. Journal of Healthcare Information Management, 16, 46–51.
23. Yang, M., Brown, M. M., Trohimovich, B., Dana, M., & Kelly, J. (2002). The effect of bar-code enabled point-of-care technology on medication administration errors. In R. Lewis (Ed.), The Impact of Information Technology on Patient Safety (pp. 37–56). Chicago, IL: Healthcare Information and Management Systems Society.
24. Coyle, G. A., & Heinen, M. (2005). Evolution of BCMA within the Department of Veteran Affairs. Nursing Administration Quarterly, 29, 32–38.
25. Anderson, S., & Wittwer, W. (2004). Using bar-code point-of-care technology for patient safety. Journal of Healthcare Quality, 26, 5–11.
26. Baker, H. M. (1997). Rules outside the rules for administration of medication: a study in New South Wales, Australia. Journal of Nursing Scholarship, 29, 155–158.
27. Murray, M. (2001). Automated medication dispensing devices. In K. Shojania, B. Duncan, K. McDonald, & R. Wachter (Eds.), Making Health Care Safer: A Critical Analysis of Patient Safety Practices (pp. 111–117). Rockville, MD: AHRQ.
28. Patterson, E. S., Cook, R. I., & Render, M. L. (2002). Improving patient safety by identifying side effects from introducing bar coding in medication administration. Journal of the American Medical Informatics Association, 9, 540–553.
29. Patterson, E. S., Cook, R. I., & Render, M. L. (2005). Fifteen best practice recommendations for bar-code medication administration in the Veterans Health Administration. Joint Commission Journal on Quality and Safety, 30, 355–365.
30. Patterson, E. S., Rogers, M. L., Chapman, R. J., & Render, M. L. (2006). Compliance with intended use of Bar Code Medication Administration in acute and long-term care: an observational study. Human Factors, 48, 15–22.
31. Walstrom, K. A., & Wilson, R. L. (1997). Gaining user acceptance of an EIS. Information Systems Management, 14, 54–59.
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Published
Dec 16, 2022
Article Details
How to Cite
Ibrahim Saudi Ibrahim Alotaibi, Marzouq Mohammed Alshabawi, Musab Abdullah Hamian Alotaibi, Faiz Faid Mohammed Alenazi, Rashed Sager Alharbi, Hamad Mufarreh Alqahtani, Faisal Ben Shaya Alotaibi. (2022). Assessing Nurses’ Readiness for Bedside Medication Administration Technology . Journal of Population Therapeutics and Clinical Pharmacology, 29(03), 437-443. https://doi.org/10.53555/jptcp.v29i03.5406
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All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Ibrahim Saudi Ibrahim Alotaibi, Marzouq Mohammed Alshabawi, Musab Abdullah Hamian Alotaibi, Faiz Faid Mohammed Alenazi, Rashed Sager Alharbi, Hamad Mufarreh Alqahtani, Faisal Ben Shaya Alotaibi. (2022). Assessing Nurses’ Readiness for Bedside Medication Administration Technology . Journal of Population Therapeutics and Clinical Pharmacology, 29(03), 437-443. https://doi.org/10.53555/jptcp.v29i03.5406