Root Cause Analysis: Inadequate Staffing by Katrina Ramos

Safe Nurse-to-Patient Ratio

katrinaramos4 — 2025-07-29 23:49:30 UTC

Implementing a safe nurse-to-patient ratio based on patient acuity improves patient safety and ensures that patients receive high quality care. Griffiths et al. (2019) found that "lower RN staffing and higher levels of admissions per RN are associated with increased risk of death during an admission to hospital. These findings highlight the possible consequences of reduced nurse staffing and do not give support to policies that encourage the use of nursing assistants to compensate for shortages of RNs." This evidence reinforces that establishing a minimum nurse-to-patient ratio leads to better patient outcomes and reduced patient mortality. In the case of Bella Bailey, this is a critical evidence-based intervention as it addresses inadequate staffing and prevents future harm to patients.

Leverage Float Pools & Cross-Training

katrinaramos4 — 2025-07-29 23:49:33 UTC

Creating a float pool of trained staff and cross-training them to work across multiple units is an effective way to reduce the impact of staffing shortages. A float pool ensures that during periods of high census, unexpected sick calls, or patient surges, qualified staff are quickly deployed to areas of greatest need. Cross-training nurses to function safely in multiple clinical areas enhances workforce flexibility and reduces care delays when units are understaffed.

According to Gnanlet, McDermott, and Yayla-Kullu (2023), developing a float pool of trained nurses and assistive personnel, enhances workforce flexibility, allowing hospitals to better respond to fluctuating demand and reduce staffing shortages without incurring excessive costs. The research indicates that such flexible staffing arrangements can lead to improved cost outcomes, better utilization of existing staff, and increased capacity to redeploy personnel efficiently across different units (Gnanlet et al., 2023). The authors state that the strategic development of float pools and cross-training can help alleviate staffing inadequacies while maintaining cost efficiency if deployment is carefully managed to avoid diminishing returns (Gnanlet et al., 2023). This approach helps healthcare organizations ensure consistent patient care, improve staffing efficiency, and build a flexible, reliable workforce.

Implement Mandatory Interdisciplinary Communication and Handoff Protocols

katrinaramos4 — 2025-07-29 23:49:38 UTC

To prevent critical lapses in patient care like those seen in Bella Bailey’s case, standardized communication protocols must be implemented during all patient handoffs. Delays in medication administration, misplacement on the wrong ward, and lack of continuity in treatment stemmed from poor coordination and failure to share essential patient information. Utilizing tools like SBAR (Situation, Background, Assessment, Recommendation) can improve communication clarity among nurses, physicians, and support staff. A standardized handoff process ensures vital updates—such as pending medications, oxygen requirements, and changes in condition—are not overlooked. Consistent and structured communication has been shown to reduce medical errors and enhance patient outcomes (The Joint Commission, 2017).

JTM

Preventing Burn Out

katrinaramos4 — 2025-07-29 23:49:42 UTC

By promoting wellness and improving scheduling, hospitals are able to address inadequate staffing through the prevention of staff burnout. Flexible scheduling helps improve job retention and satisfaction, and encouraging rest periods is proven to reduce fatigue and medical error, ultimately preventing decreased hospital staffing. Conversely, extended work hours and mandatory overtime hours are associated with higher stress levels, higher intent to leave the occupation, and increased levels of burnout (Bae, 2024; Lin et al., 2020). Moreover, the implementation of shorter workweeks, as well as the limitation of consecutive shifts, has been revealed to dramatically reduce burnout levels and improve job satisfaction and morale without adversely affecting patient care (Pilot hospitals, 2025). Furthermore, creating an environment that encourages psychological safety is beneficial in reducing burnout. Through peer support, strong leadership and debriefing, especially after critical incidents, resilience is fostered and morale increased. Additionally, supportive leadership is crucial to identify the signs of burnout in the staff and implement the appropriate actions to proactively prevent loss of staff. Collectively, all of these strategies are vital and effective methods to stabilize staffing levels and improve nurse well being.

References

katrinaramos4 — 2025-07-29 23:50:11 UTC

Bae, S.-H. (2024). Mandatory overtime, job satisfaction, and intent to leave: A cross-sectional study of nurses. Journal of Nursing Management. https://pmc.ncbi.nlm.nih.gov/

Gnanlet A., McDermott C., Yayla-Kullu, M. (2023). Impact of workforce flexibility on operating costs: Empirical evidence from healthcare. Journal of Asia-Pacific Business, 24(4), 236-253.

Griffiths, P., Maruotti, A., Recio Saucedo, A., Redfern, O. C., Ball, J. E., Briggs, J., Dall’Ora, C., Schmidt, P. E., Smith, G. B., Bloor, K., Böhning, D., Iongh, A. D., Jones, J., Kovacs, C., Prytherch, D., Meredith, P., & Sinden, N. (2019). Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study. BMJ Quality & Safety, 28(8), 609–617. https://doi.org/10.1136/bmjqs-2018-008043

Smith, J. A., & Lee, M. T. (2025). Pilot implementation of a 4-day workweek: Impact on burnout among nursing leaders. Journal of Nursing Administration, 55(1), 12–18. https://pubmed.ncbi.nlm.nih.gov/

The Joint Commission. (2017). Improving hand-off communications: Meeting national patient safety goal 2E. https://www.jointcommission.org/resources/patient-safety-topics/sentinel-event/hand-off-communications/

Vural, O., Özaydın, B., Aram, K. Y., Booth, J., Lindsey, B. F., & Ahmed, A. (2025, April 23). An artificial intelligence‑based framework for predicting emergency department overcrowding: Development and evaluation study (arXiv:2504.18578) [Preprint]. arXiv. https://doi.org/10.48550/arXiv.2504.18578

Acuity-Based and Informatics for Effectively Directing Resources

2025-07-30 23:02:46 UTC

Congestion in hospital departments is a risk to the safety of staff and patients. According to Varul et al (2025), hospital management often reacts to congestion after it occurs, leading to delays in care and increased operational strain. The use of machine learning can allow for accurate prediction on when and where additional resources are required. In the study, they used machine learning to predict ER waiting times on two different scales. One is an hourly model forecasting the waiting count 6 hours ahead, and the other is a daily model that estimates the average waiting count for the next 24 hours. They found that these interventions led to earlier interventions and reduced crowding in the ER. (Vural et al., 2025)