NURS FPX 6016 Assessment 1 Adverse Event or Near-Miss Analysis
Student Name
Capella University
NURS-FPX 6016 Quality Improvement of Interprofessional Care
Prof. Name
Date
Adverse Event or Near-Miss
Healthcare systems consistently strive to maintain high standards of patient safety; however, medication-related errors and near-miss incidents remain a persistent challenge despite regulatory frameworks and technological advancements. Evidence indicates that over a four-year period, 632 near-miss medication events were electronically reported, predominantly involving nurses with one to nine years of clinical experience (Yoon & Sohng, 2021).
This analysis examines a near-miss incident that occurred during a night shift in an overcrowded hospital setting. The discussion evaluates the sequence of events, identifies root causes, and proposes evidence-based quality improvement (QI) strategies aimed at minimizing future risks and strengthening patient safety outcomes.
Implications for Stakeholders
What happened during the near-miss event?
During a busy night shift at Stanford Health Care, a nurse (Rachel) was preparing insulin for a patient diagnosed with diabetes (Mr. Johnson). While in the process, she was interrupted by a call from another patient’s room. Due to this disruption and time pressure, she almost administered insulin to the wrong patient (Mrs. Thompson), who did not have diabetes. The error was prevented at the final moment when the nurse verified the patient’s wristband prior to administration.
Why is this incident significant?
This near miss illustrates how workflow interruptions, cognitive overload, and lapses in verification protocols can compromise medication safety. Although no harm occurred, the event exposed vulnerabilities in clinical processes and highlighted the importance of adherence to safety standards.
Stakeholder Impact Analysis
How could this near miss affect stakeholders?
| Stakeholder | Potential Short-Term Impact | Potential Long-Term Impact |
|---|---|---|
| Patients (Mrs. Thompson & Mr. Johnson) | Risk of hypoglycemia or delayed treatment | Reduced trust in healthcare system |
| Nurse (Rachel) | Emotional distress, anxiety | Professional accountability, reduced confidence |
| Interprofessional Team | Increased stress, workflow disruption | Risk of disciplinary actions, licensing implications |
| Healthcare Facility | Immediate risk mitigation efforts | Legal liability, reputational damage |
The patient (Mrs. Thompson) faced a risk of hypoglycemia, which could have required urgent intervention and increased anxiety (Tsegaye et al., 2020). Conversely, Mr. Johnson could have experienced treatment delays leading to hyperglycemia. The nurse experienced psychological stress and professional concern, while the organization faced potential legal and reputational consequences (Vaismoradi et al., 2021).
Roles and Responsibilities in Prevention
What are the responsibilities of the interdisciplinary team?
- Nurses:
- Verify patient identity using at least two identifiers
- Adhere strictly to the five rights of medication administration (Hanson & Haddad, 2023)
- Physicians:
- Provide clear, accurate medication orders
- Collaborate effectively with nursing staff
- Pharmacists:
- Validate prescriptions and dosages
- Educate staff on medication safety (Westbrook et al., 2020)
- Healthcare Administration:
- Implement safety policies (e.g., no-interruption zones)
- Ensure ongoing staff training and compliance monitoring
This collaborative accountability model is essential to reducing medication-related risks and ensuring safe care delivery.
Assumptions
What assumptions guide this analysis?
This evaluation is based on the following assumptions:
- Medication safety is a shared responsibility among all healthcare professionals
- Communication failures significantly contribute to medication errors
- Structured interventions (e.g., no-interruption zones, double-checking protocols) improve outcomes
- Patient engagement and education are critical in preventing safety incidents (Westbrook et al., 2020)
Root Cause Analysis of Medication Administration Error
What caused the near-miss incident?
Root Cause Analysis (RCA), as recommended by The Joint Commission, identified that the near miss resulted from process failures rather than patient-related factors (Singh et al., 2023).
Key contributing factors
| Category | Identified Issue | Impact |
|---|---|---|
| Human Factors | Loss of focus due to interruption | Increased likelihood of error |
| System Failure | Lack of no-interruption zones | Workflow disruption |
| Process Gap | Incomplete patient verification | Risk of wrong-patient administration |
| Communication | Limited team coordination | Reduced error detection |
The interruption during medication preparation disrupted the nurse’s concentration, leading to a breakdown in verification procedures. The absence of structured safeguards, such as designated no-interruption zones, further amplified the risk.
Was the event preventable?
Yes, the incident was highly preventable. Implementation of structured workflows, communication protocols, and environmental controls could significantly reduce similar occurrences (Mutair et al., 2021).
Knowledge Gaps and Areas of Uncertainty
What information is missing for a more accurate analysis?
- Frequency and nature of interruptions during medication preparation
- Compliance rates with patient identification protocols
- Effectiveness of existing training programs
- Comparative data on safety interventions across institutions
Addressing these gaps through data collection and benchmarking would strengthen RCA accuracy and improve QI initiatives.
Evaluation of Quality Improvement Actions and Technologies
Which strategies can reduce medication errors?
Several evidence-based interventions can enhance medication safety:
- Implementation of no-interruption zones to minimize distractions (Sloane et al., 2023)
- Adoption of Barcode Medication Administration (BCMA) systems to verify patient identity (Mulac, 2021)
- Use of Electronic Health Records (EHRs) for real-time communication and verification (Ocaña et al., 2023)
These technologies and process improvements collectively enhance accuracy, efficiency, and communication within clinical workflows.
Evaluation Criteria
How should QI interventions be assessed?
| Criterion | Description | Expected Outcome |
|---|---|---|
| Effectiveness | Reduction in medication errors | Improved patient safety |
| Usability | Integration into workflow | Minimal disruption |
| Accuracy | Reliable identification and verification | Reduced clinical errors |
| Cost-effectiveness | Financial savings from prevented errors | Sustainable implementation |
| Staff Feedback | User experience and satisfaction | Continuous improvement |
| Data Monitoring | Analysis of error trends and compliance | Evidence-based adjustments |
Medication-related adverse events can cost healthcare systems approximately $5.4 million annually, emphasizing the importance of cost-effective interventions (Ciapponi et al., 2021).
Quality Improvement Initiative
What actions were implemented to prevent recurrence?
Following the incident, Stanford Health Care introduced several corrective measures:
- Incident Reporting and RCA: Formal documentation and analysis to identify root causes (Whitfield et al., 2021)
- BCMA Training: Enhanced staff competency in using barcode systems effectively (Mulac, 2021)
- No-Interruption Zones: Designated areas for medication preparation to reduce distractions (Sloane et al., 2023)
- Communication Protocols: Standardized verification procedures and team collaboration practices (Westbrook et al., 2020)
These interventions align with evidence-based safety strategies and aim to establish a culture of accountability and continuous improvement.
Conclusion
The analyzed near-miss incident demonstrates how interruptions, communication breakdowns, and system-level deficiencies can compromise medication safety. Despite the absence of patient harm, the event revealed critical vulnerabilities within clinical workflows.
The implementation of targeted QI strategies—such as BCMA technology, structured no-interruption zones, and enhanced communication protocols—provides a robust framework for preventing future incidents. Sustained success depends on continuous evaluation, staff engagement, and adherence to evidence-based practices, ensuring long-term improvements in patient safety and care quality.
References
Ciapponi, A., Nievas, S. E. F., Seijo, M., Rodríguez, M. B., Vietto, V., García-Perdomo, H. A., Virgilio, S., Fajreldines, A. V., Tost, J., Rose, C. J., & Garcia-Elorrio, E. (2021). Reducing medication errors for adults in hospital settings. Cochrane Database of Systematic Reviews, 2021(11). https://doi.org/10.1002/14651858.cd009985.pub2
Hanson, A., & Haddad, L. M. (2023). Nursing rights of medication administration. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK560654/
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
NURS FPX 6016 Assessment 1 Adverse Event or Near-Miss Analysis
Mutair, A. A., Alhumaid, S., Shamsan, A., Zaidi, A. R. Z., Mohaini, M. A., Al Mutairi, A., Rabaan, A. A., Awad, M., & Al-Omari, A. (2021). The effective strategies to avoid medication errors and improve reporting systems. Medicines, 8(9). https://doi.org/10.3390/medicines8090046
Ocaña, M. J. R., Morales, C. T., Pichardo, J. D. R., & Hernández, M. A. (2023). Barriers and facilitators of communication in the medication reconciliation process during hospital discharge: Primary healthcare professionals’ perspectives. Healthcare, 11(10), 1495. https://doi.org/10.3390/healthcare11101495
Singh, G., Patel, R. H., & Boster, J. (2023). Root cause analysis and medical error prevention. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK570638/
Sloane, J. F., Donkin, C., Newell, B. R., Singh, H., & Meyer, A. N. D. (2023). Managing interruptions to improve diagnostic decision-making. Journal of General Internal Medicine, 38(6). https://doi.org/10.1007/s11606-022-08019-w
NURS FPX 6016 Assessment 1 Adverse Event or Near-Miss Analysis
Tsegaye, D., Alem, G., Tessema, Z., & Alebachew, W. (2020). Medication administration errors and associated factors among nurses. International Journal of General Medicine, 13, 1621–1632. https://doi.org/10.2147/ijgm.s289452
Vaismoradi, M., Jordan, S., Logan, P. A., Amaniyan, S., & Glarcher, M. (2021). Legal considerations in medicines management. Medicina, 57(1), 65. https://doi.org/10.3390/medicina57010065
Westbrook, J. I., et al. (2020). Associations between double-checking and medication administration errors. BMJ Quality & Safety, 30(4), 320–330. https://doi.org/10.1136/bmjqs-2020-011473
Whitfield, K., Coombes, I., Denaro, C., & Donovan, P. (2021). Medication utilisation program and quality improvement strategies. Pharmacy, 9(4), 182. https://doi.org/10.3390/pharmacy9040182
NURS FPX 6016 Assessment 1 Adverse Event or Near-Miss Analysis
Xie, C. X., et al. (2022). Effectiveness of clinical dashboards as decision-support tools. Journal of the American Medical Informatics Association, 29(10). https://doi.org/10.1093/jamia/ocac094
Yoon, S., & Sohng, K. (2021). Factors causing medication errors in an electronic reporting system. Nursing Open, 8(6). https://doi.org/10.1002/nop2.1038