Capella University NURS-FPX4020 Assessment 4 Quality Improvement Initiative Tool Kit Essay Sample Paper 2
Prevention of medication errors among nurses utilizes the best available evidence-based practice knowledge to achieve the best outcomes. Medication errors related to medication administration are caused by various factors that can be condensed into personal and contextual factors. The proposed plan was derived from three main themes: the use of technology, medication reconciliation, and interdisciplinary collaboration. This annotated bibliography presents the best resources to empower nurses and health organizations with the best knowledge and strategies to prevent medication administration errors.
Annotated Bibliography
Use of Technology to Prevent Medication Errors
Ahtiainen, H. K., Kallio, M. M., Airaksinen, M., & Holmström, A.-R. (2020). Safety, time and cost evaluation of automated and semi-automated drug distribution systems in hospitals: a systematic review. European Journal of Hospital Pharmacy. Science and Practice, 27(5), 253–262. https://doi.org/10.1136/ejhpharm-2018-001791
Medication errors impact patient safety, care costs, and efficiency of care. Various technological systems can be implemented to prevent prescription, dispensing, administration, monitoring, and storage errors. This article evaluates the superiority of the various systems used in medication error prevention. Centralized and hybrid systems are some of the systems evaluated in this systematic review. These systems are evaluated concerning costs, patient safety, and care efficiency. This high-level evidence source would provide critical insights into the main technology systems for medication error prevention.
Devin, J., Cleary, B. J., & Cullinan, S. (2020). The impact of health information technology on prescribing errors in hospitals: a systematic review and behavior change technique analysis. Systematic Reviews, 9(1), 275. https://doi.org/10.1186/s13643-020-01510-7
Health information technology can be used to prevent almost all types of medication errors, from prescription, dispensation, administration, monitoring, and storage. There are various types of health information technologies used. This journal article is from a systematic review study that analyzes behavior change techniques and health information technologies used to prevent medication errors, including prescribing errors.
Compared to paper order entries, using health information systems for prescriptions reduces medication errors. The role of clinicians in human-technology interaction is also discussed in this article. It is a helpful source of information on the best technologies to adopt to reduce medication errors. Nurses can benefit from the content of this source because it is a high-level evidence source.
Gates, P. J., Hardie, R.-A., Raban, M. Z., Li, L., & Westbrook, J. I. (2021). How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis. Journal of the American Medical Informatics Association: JAMIA, 28(1), 167–176. https://doi.org/10.1093/jamia/ocaa230
The use of technology may not solve most medication errors. Unfortunately, technology use can precipitate other errors leading to medication errors at all stages. This source is a systematic review and metanalyses of articles that analyze both sides of technology use in medication errors. Studies evaluating the risks and benefits of technology use are discussed and evaluated.
Their findings are relevant to nursing practice and remind the reader that needs to carefully and judiciously interact with technology systems when attempting to prevent medication errors. This source is indispensable when considering technology systems as a strategy for preventing medication errors.
Vilela, R. P. B., & Jericó, M. de C. (2019). Implementing technologies to prevent medication errors at a high-complexity hospital: analysis of cost and results. Einstein (Sao Paulo, Brazil), 17(4), eGS4621. https://doi.org/10.31744/einstein_journal/2019GS4621