PICOT Question
The healthcare environment is dynamic, and over the years, the incorporation of technology has advanced the initiative of patient safety and reduced the risk of errors. One of the areas where technology has shown promise is in medication administration. The reduction is highly seen in IV medications since they are considered high-risk due to the rapid onset of action and their capability for harm if incorrectly delivered. IV-related medication errors have been considered to pose a great threat to patient safety and potentially lead to ADEs. RNs are usually in an important position in accurate medication delivery when medication is given to patients (Junaid et al., 2022). Barcode medication administration (BCMA) has thus become a potential solution to reduce medication errors. This paper presents a PICOT question on whether BCMA potentially impacts IV medication error rates compared to BCMA versus manual verification methods and its subsequent effect on medication errors after eight weeks.
Problem Statement
Medication errors are considered one of the most common causes of preventable harm in hospitals. Manual verification methods have proven to be error-prone due to human error despite efforts to improve medication administration processes. The barcode medication administration system adds an extra layer of safety by providing electronic medication administration verification, thus minimizing the chances of an error. However, the effectiveness of BCMA in reducing IV medication errors compared with traditional manual verification methods is not well explored, especially within certain hospital environments (Mulac, 2021). This study seeks to determine whether implementing BCMA could significantly reduce IV medication error rates for registered nurses over eight weeks.
PICOT Question Explanation
In registered nurses working in a hospital setting (P), how does the implementation of a barcode medication administration (BCMA) system (I) compared to the current manual verification method (C) affect the rate of IV medication errors (O) over eight weeks (T)?
· Population (P): Registered nurses working in a hospital setting
· Intervention (I): Implementation of a barcode medication administration (BCMA) system
· Comparison (C): Current manual verification method for medication administration
· Outcome (O): Rate of IV medication errors
· Timeframe (T): Eight weeks
Population of Interest
The population of interest in this study is registered nurses who practice in a hospital environment. RNs have been entrusted with administering high-risk IV medications to ensure that the right patient receives the right drug in the correct dosage at the proper time. These nurses work on the front line where patient care is concerned and have the potential to make errors because of high workload, interruption factors, and cognitive overload. Focusing on hospital RNs covers those in positions that can potentially affect patient safety to a very high degree through their practices in medication administration (Wondmieneh et al., 2020). The population selection is critical because RNs are the direct users of the medication administration systems, and their involvement directly impacts interventions such as BCMA. In addition, this focus on RNs in institutions will ensure that the study’s outcomes are generalizable to the clinical environment where intravenous medications are commonly used.
Intervention of Interest
The intervention of interest to be proposed for this study involves using a barcode medication administration system. BCMA systems integrate barcode technology to ensure verification of the five rights through medication administration: right patient, right medication, right dose, right time, and right route (Wondmieneh et al., 2020). A nurse would administer medication to the patient only after scanning the medication barcode on the wristband to confirm that it is the appropriate treatment. The BCMA system helps avert human mistakes since it checks orders against patient data in real-time electronically. It will be an enhanced part of security added in the course, other than manual checks dependent on the memory and detailing of nurses. The system can help in avoiding IV medication errors significantly since IV drugs are absorbed fast and could be toxic. BCMA requires initial investment in technology and training, but it might significantly reduce medication errors, improve patient safety, and streamline workflow.
Comparison of Interest
The comparison of interest is the current manual nurse verification for medication administration. Manual verification generally involves verifying the label of the medication against the patient’s medication order and personally verifying the five rights of medication administration. This leads to human error, especially in high-pressure settings such as hospitals, where nurses handle multiple patients amidst strict time pressure. Manual verification can easily become prone to distractions, interruptions, and cognitive fatigue, which increases the risk of error (Westbrook et al., 2021). Despite these demands, manual verification remains an activity in wide practice across many hospitals, particularly within those institutions that do not utilize BCMA technology. The goal driving the research for this study will be to compare the rate of IV medication errors during manual verification to the rate observed after the initiation of the BCMA system in place as a determinant of which method more successfully lowers such errors.
Outcome of Interest
The outcome of interest for this study is the rate of medication errors IV. Medication errors that involve an intravenous route of administration are quite serious and may result in severe harm, with the patient experiencing an overdose, under-dose, or a wrong medication being administered. The errors further translate into ADEs, prolonged hospitalization, increased health costs, and even death in extreme cases. This study will establish whether introducing a BCMA system decreases IV medication errors more than manual verification. The rate of errors will be measured as the number of IV medication errors per 1,000 medication administrations over eight weeks. A reduction in error rates would reflect the effectiveness of BCMA in improving patient safety and reducing preventable harm.
Timeframe
This study will be conducted over eight weeks; this is an efficient timeframe where changes can be realized about the rate of IV medication errors after implementing a BCMA system. This period allows enough time for nurses to become familiar with the new system and deal with any potential learning curves. The eight-week duration will help collect a meaningful sample size of the available IV medication administrations and, by itself, provide reliable data for comparison between the BCMA system and the manual verification method. Therefore, the study period of eight weeks can allow for timely research and help capture any major changes in medication error rates.
Conclusion
IV medication errors are one of the major concerns in a hospital environment. Implementing BCMA systems offers hope for overcoming this issue and ensuring better patient safety. The given PICOT question can explain how well BCMA reduces IV medication errors compared with manual verification methods. This study will reveal how technology can improve medication safety by focusing on hospital-based registered nurses. This system, if effective, will increase the rate of its adoption in this setting to translate into greatly reduced harm from medication across many healthcare facilities.
References
Junaid, S. B., Imam, A. A., Balogun, A. O., De Silva, L. C., Surakat, Y. A., Kumar, G., Abdulkarim, M., Shuaibu, A. N., Garba, A., Sahalu, Y., Mohammed, A., Mohammed, T. Y., Abdulkadir, B. A., Abba, A. A., Kakumi, N. A. I., & Mahamad, S. (2022). Recent Advancements in emerging technologies for healthcare management systems: a survey. Healthcare, 10(10), 1–45. https://doi.org/10.3390/healthcare10101940
Mulac, A. (2021). Barcode medication administration technology use in hospital practice: A mixed-methods observational study of policy deviations. BMJ Quality & Safety, 30(12), 1021–1030. https://doi.org/10.1136/bmjqs-2021-013223
Westbrook, J. I., Li, L., Raban, M. Z., Woods, A., Koyama, A. K., Baysari, M. T., Day, R. O., McCullagh, C., Prgomet, M., Mumford, V., Dalla-Pozza, L., Gazarian, M., Gates, P. J., Lichtner, V., Barclay, P., Gardo, A., Wiggins, M., & White, L. (2021). Associations between double-checking and medication administration errors: a direct observational study of paediatric inpatients. BMJ Quality & Safety, 30(4), 320–330. https://doi.org/10.1136/bmjqs-2020-011473
Wondmieneh, A., Alemu, W., Tadele, N., & Demis, A. (2020). Medication administration errors and contributing factors among nurses: A cross sectional study in tertiary hospitals, Addis Ababa, Ethiopia. BMC Nursing, 19(4), 1–9. https://doi.org/10.1186/s12912-020-0397-0