CAUSE ANALYSIS

Frances Pittman

The Root Cause Analysis (RCA) team in this scenario at this 20-bed facility consists of the staff nurse Pamela Brown, the pharmacy technician Matt White, and the facilitator/ risk manager Linda. Each member brings unique knowledge and expertise to the RCA process. The staff nurse,  Pamela, has a deep understanding of nursing processes, patient care, and the factors that contribute to medication errors at the frontline level. Matt, the Pharmacy tech, possesses knowledge of medication management, including drug interactions, dispensing practices, and inventory control. The facilitator, Linda, has expertise in data analysis, process improvement tools, and guiding teams through problem-solving. 

The effective collaboration in this case study is evident in Linda, the facilitator's intervention, which emphasizes avoiding blaming and focusing on applying analytical tools. By redirecting the blame game, Linda encourages a constructive approach that fosters open communication and collaboration among the team members. Effective collaboration is further demonstrated by the team's willingness to set aside their differences and work together to analyze the data and identify the root cause of the error. This collaborative effort allows for a comprehensive exploration of the factors contributing to the error and promotes a shared understanding of the problem (Walden University, LLC. (2016). 

Despite the implementation of Computerized Physician Order Entry (CPOE), online nursing medication documentation, and barcoded medication administration after four years, several medication errors have occurred for several reasons. While these technological solutions can significantly reduce errors, they are not foolproof and require careful implementation and ongoing monitoring to be effective. Here are some factors that could contribute to medication errors despite these systems: Workarounds and Overrides: Healthcare professionals may find ways to bypass or override system alerts or safety checks due to time constraints, perceived urgency, or lack of understanding. These workarounds can introduce potential errors in the medication administration process. 

1. System Limitations: Although CPOE, online nursing medication documentation, and barcoded medication administration systems are designed to improve safety, they may have limitations or vulnerabilities. For example, if the system has incomplete or outdated medication information, it could lead to errors during prescribing or administration. 

2. User Training and Competency: Adequate training and ongoing competency assessment of healthcare professionals using these systems are crucial. Insufficient training or lack of proficiency in using the technology can increase the risk of errors.

3. Interoperability Issues: Integration and interoperability between different systems, such as CPOE and barcode scanning, can pose challenges. If the systems do not communicate effectively or share accurate information, it can result in errors during medication ordering, administration, or documentation. 

4. Human Factors: Despite technological advancements, human error can still occur. Distractions, fatigue, stress, and high workload can contribute to mistakes during medication processes, even when using advanced systems. 

The team's process in testing and eliminating root causes that were not contributing involves applying data analysis tools such as the "Five Whys" technique and fishbone diagram. This systematic approach helps the team identify potential causes and trace them back to their underlying root causes. By using these tools, the team can eliminate factors that do not have a direct impact on the error, allowing them to narrow down their focus and allocate resources efficiently. The team's process ensures that efforts are concentrated on addressing the most significant contributing factors. 

In critiquing the effectiveness of a performance improvement chart presented in the scenario, the Pareto chart stands out as a valuable tool for identifying the root cause and determining a solution to prevent repeat medication errors. The Pareto chart displays the frequency and cumulative impact of various contributing factors, allowing the team to prioritize their efforts based on the most significant contributors. This visual representation helps the team identify the critical few factors that account for the majority of errors, enabling them to allocate resources and interventions effectively. By addressing the highest-ranking factors on the Pareto chart, the team can make meaningful improvements in patient safety and prevent future errors. 

To prevent this kind of error from occurring in the future, it is essential to address the contributing factors identified during the RCA process. These factors may include issues related to communication, workflow, staffing, training, and system design. Strategies for prevention could include implementing standardized communication protocols, improving medication reconciliation processes, enhancing staff education and training on medication safety, and implementing technology solutions to minimize the risk of errors. 

In conclusion, the RCA team in this case study demonstrates effective collaboration by focusing on data analysis and avoiding blaming. By applying analytical tools, testing for root causes, and utilizing performance improvement charts like the Pareto chart, the team can identify the root cause, develop solutions, and prevent repeat medication errors. Implementing strategies based on the identified contributing factors will help ensure patient safety and improve medication management processes. 

References: 

Biron, A. D., Lavoie-Tremblay, M., & Paré, G. (2016). Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. Journal of Clinical Bioinformatics, 6(1), 22. doi:10.1186/s13336-016-0083-2 

Flynn, E. A., Barker, K. N., Gibson, J. T., Pearson, R. E., & Berger, B. A. (2002). Impact of interruptions and distractions on dispensing errors in an ambulatory care pharmacy. American Journal of Health-System Pharmacy, 59(9), 844-847. doi:10.1093/ajhp/59.9.844 

Koehler, T., Brown, T., Schmidt, M., Walz, A., & Lehr, D. (2016). Design, implementation and evaluation of an interdisciplinary undergraduate patient safety course. BMC Medical Education, 16(1), 310. doi:10.1186/s12909-016-0824-7 

Koppel, R., Wetterneck, T. B., Telles, J. L., & Karsh, B. T. (2008). Workarounds to barcode medication administration systems: Their occurrences, causes, and threats to patient safety. Journal of the American Medical Informatics Association, 15(4), 408-423. doi:10.1197/jamia.M2667 

Slight, S. P., Eguale, T., Amato, M. G., Seger, A. C., Whitney, D. L., Bates, D. W., & Nanji, K. C. (2018). The vulnerabilities of computerized physician order entry systems: A qualitative study. Journal of the American Medical Informatics Association, 25(5), 465-471. doi:10.1093/jamia/ocx141 

Spath, P. (2018).  Introduction to healthcare quality management (3rd ed.). Health Administration Press 

Walden University, LLC. (2016).  Root cause analysis at Downtown Medical Links to an external site.Links to an external site.  [Interactive file]. Walden University Canvas.  https://waldenu.instructure.com