NR 439 Week 2 Discussion

Student Name

Chamberlain University

NR-439: RN Evidence-Based Practice

Prof. Name

Date

Week 2 Discussion

Significant Nursing Clinical Issue

Working in a telemetry step-down unit, I have consistently noticed that one of the most pressing issues relates to alarm fatigue. During an average shift, nurses are exposed to alarms from multiple devices such as ventilators (that may disconnect or malfunction), call lights, bed alarms, IV pumps, and the recently implemented Avasys video monitors designed for fall-risk patients. Cardiac monitoring alarms further contribute to the overwhelming noise environment.

The sheer frequency of alarms often results in sensory overload, which can desensitize staff. This desensitization may delay responses to truly critical alarms, thereby jeopardizing patient safety. Alarm fatigue has been identified in nursing literature as a serious safety risk because non-actionable alarms create a “cry-wolf” scenario where genuine alerts may be overlooked.

In response, my facility has implemented a system in which trained monitor technicians are assigned to observe patient cardiac rhythms in real time. While this intervention has helped reduce the burden on bedside nurses, the problem persists, highlighting the need for a broader evidence-based approach to alarm management.

PICO(T) Question

According to Houser (2018), “Of primary importance to the selection of an approach is the nature of the research question” (p. 37). Based on this principle, I developed the following PICO(T) question to guide inquiry into this issue:

PICO(T) Question:
In the context of a telemetry unit with ongoing cardiac monitoring, how can we minimize non-actionable alarms and prevent unnecessary interventions for cardiac monitoring?

To present this question systematically, the elements of the PICO(T) framework are outlined below:

Literature Review

In reviewing current literature, I found an insightful case study by Jahrsdoerfer (2016) titled “Reducing Interruption Fatigue through Improved Alarm Support.” The study examined how tailored adjustments to telemetry alarm systems across different hospital units could reduce non-essential alarms.

The researchers highlighted the importance of daily cardiac lead changes and proper skin preparation to avoid artifacts that trigger false alarms. Alarm limits were set only for life-threatening arrhythmias, including asystole, ventricular tachycardia, ventricular fibrillation, severe tachycardia, severe bradycardia, apnea, and oxygen desaturation. By focusing on clinically significant alerts, unnecessary disruptions were minimized.

This quasi-experimental study was conducted in one ICU, one progressive care unit, and two telemetry units with a combined total of 52 beds. The findings were significant: alarm frequency was reduced by approximately 25% when alarm settings were individualized per patient (Jahrsdoerfer, 2016). These results demonstrate the potential of adopting tailored alarm strategies in telemetry units to address alarm fatigue and enhance patient safety.

References

Houser, J. (2018). Nursing research: Reading, using, and creating evidence (4th ed.). Jones and Bartlett.

NR 439 Week 2 Discussion

Jahrsdoerfer, M. (2016). Reducing interruption fatigue through improved alarm support. Biomedical Instrumentation & Technology, 50(2), 109–113. https://doi.org/10.2345/0899-8205-50.2.109