Impact of a Structured Response and Evidence-Based Checklist on In-hospital Stroke Outcomes

Nursing and Institutional Responsibilities for In-Hospital Stroke

In-hospital stroke events occur less often than stroke outside of a health care facility; yet, the need for timely evaluation and treatment is the same regardless of geographic location. During hospitalization, nurses are generally the first to recognize possible symptoms of stroke and activate emergency protocols. Such actions in response to changes in patient condition are critical to optimal patient outcomes. A recent scientific statement from the American Heart Association notes that patients with in-hospital stroke are likely to experience delayed recognition of symptoms, less likely to receive intravenous thrombolysis therapy, and have worse outcomes compared with community-occurring stroke. The aim of this article is to expand upon that scientific statement to assist nurses and acute care hospitals in the United States and elsewhere with similar health care systems to create evidence-based, nurse-driven protocols for in-hospital stroke recognition and management.

Bundled Approach to Improve Inpatient Stroke Recognition and Time to Treatment

ABSTRACT

BACKGROUND: Early recognition of inpatient stroke is critical in reducing poor outcomes. A gap in knowledge and recognition of stroke by nursing staff was observed; protocols did not incorporate the Balance, Eyes, Face, Arms, Speech, and Time (BE-FAST) symptom mnemonic, and code stroke documentation was frequently incomplete. PURPOSE: This initiative aimed to improve timely recognition, evidence-based treatment, and nursing documentation of stroke-related symptoms. METHODS: This quality improvement initiative implemented an inpatient nurse-driven code stroke bundle. A pre-post prospective intervention design was implemented over 3 months. Code stroke bundle components included an evidence-based protocol, algorithm, visual aids, and education. Nursing communication and documentation used the BE-FAST mnemonic in a Situation, Background, Assessment, Recommendation format. RESULTS: Nursing stroke knowledge improved 8% (88% vs 96%, P < .001); stroke response times improved 15 minutes (25.9 vs 11 minutes, P = .383), although not significant; the code stroke documentation completion rate was increased 48.1% (0 [0%] vs 13 [48.1%], P < .001); and improved utilization of the BE-FAST tool with Situation, Background, Assessment, Recommendation communication (0 [0%] vs 20 [47.6%], P = < .001) was observed. The code stroke cancelation rate slightly worsened (10 [26.3%] vs 14 [26.9%], P = .949), code stroke notifications for altered mental status improved (15 [39.5%] vs 8 [15.7%], P = .015), and the stroke mimic rate improved (27 [71.1%] vs 35 [67.3%], P = .708). CONCLUSION: Nurses provide hospital patient care continuously and are in a key position to intervene when patients present changes in symptoms. Through education and creating an evidence-based protocol, nurses can impact patient outcomes in early recognition and activation of the code stroke system. Further studies are warranted to refine strategies leading to continued improvement in early stroke identification.

Nurse's Role in Perioperative Neurological Evaluation and Management to Lower the Risk of Acute Stroke in Patients Undergoing Noncardiac, Nonneurological Surgery

Perioperative nurses have the opportunity to play a key role in prevention and recognition of stroke in patients undergoing noncardiac, nonneurological surgery and may impact this potentially devastating complication. Effective nursing care of the older adult requires a specialized knowledge base. Scientific Statements are a cornerstone of the knowledge base that informs this care. This article summarizes the recently released American Heart Association/American Stroke Association Scientific Statement entitled: Perioperative Neurological Evaluation and Management to Lower the Risk of Acute Stroke in Patients Undergoing Noncardiac, Nonneurological Surgery and discusses the nurse's role in the care of this vulnerable patient population.

An operating room audit to examine for patterns of staff entry/exit: pattern sequencing as a method of traffic reduction

Background

Surgical site infections (SSIs) are estimated at over 16,000 annually and cost hospitals an estimated $1.6 billion per year. Therefore, most operating rooms (ORs) seek methods to reduce the risk of SSI, especially during the intraoperative period. Prior work has established a link between excess traffic through the OR and increased microbial counts, which create a higher risk for SSIs.

Aim/Objectives

To identify patterns of staff entry into the OR to further reduce the risk of SSIs after total joint arthroplasties.

Methods

Researchers directly observed 31 total joint arthroplasties, recording every instance the door to the OR suite opened and the personnel, reason for opening and timing during surgical incision. Researchers then utilised the sequential data analysis to search for patterns.

Results

Despite expected patterns in staff movement during the patterned surgery, researchers found no significant patterns to staff movement during total joint arthroplasty.

Discussion

This study's results suggest purposeful education targeted to circulating registered nurses could induce purposeful creation of traffic flow patterns to further decrease traffic and risk of SSI.

Conclusion

There is no singular pattern to entering and exiting the OR during surgery. Thus, a single-solution approach is not recommended.