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NR 439 Week 2 Discussion

NR 439 Week 2 Discussion

Student Name

Chamberlain University

NR-439: RN Evidence-Based Practice

Prof. Name

Date

Week 2 Discussion

Identifying a Significant Nursing Clinical Issue

In my professional practice within a telemetry step-down unit, I have observed that multiple types of alarms frequently sound throughout a standard workday. These include ventilator alarms (indicating bucking or disconnection), patient call lights, bed alarms, Avasys video monitoring alerts for high-fall-risk patients, IV pump alarms, and cardiac monitoring notifications. The constant barrage of sounds can lead to alarm fatigue, where healthcare staff may become desensitized or slower to respond to certain alarms due to their high frequency. This phenomenon can pose serious risks to patient safety by delaying urgent interventions.

My facility employs dedicated monitor technicians who continuously observe patient cardiac rhythms. However, reducing unnecessary alarms remains a critical priority to improve workflow efficiency and minimize the risk of missing life-threatening events. Houser (2018) emphasizes that the selection of a research approach must align closely with the specific nature of the clinical question, which underscores the need for a structured approach like the PICO(T) framework.

PICO(T) Question Development

Using the PICO(T) format, my research question is formulated as follows:

PICO(T) ElementDescription
P (Population)Patients on a telemetry unit with continuous cardiac monitoring
I (Intervention)Modifying alarm settings and improving lead placement/maintenance
C (Comparison)Standard alarm settings without patient-specific customization
O (Outcome)Reduction in non-actionable alarms and prevention of unnecessary interventions
T (Time)Evaluation over a defined monitoring period (e.g., 3–6 months)

Clinical Question:
In patients on a telemetry unit with continuous cardiac monitoring, how does customizing alarm settings and improving electrode management compared to standard monitoring practices reduce non-actionable alarms and unnecessary interventions over a 3–6 month period?

Relevant Study from the Literature

I reviewed a study by Jahrsdoerfer (2016) titled Reducing Interruption Fatigue through Improved Alarm Support, which was published in Biomedical Instrumentation & Technology. The research explored strategies to reduce alarm fatigue by customizing telemetry monitoring settings based on individual patient conditions and clinical needs. Specific interventions included:

  • Adjusting alarm parameters to reflect patient-specific clinical thresholds.
  • Implementing daily cardiac lead changes with proper skin preparation to reduce artifacts and prevent false alarms.
  • Maintaining alarm settings only for life-threatening rhythms such as asystole, ventricular tachycardia, ventricular fibrillation, extreme tachycardia, extreme bradycardia, apnea, and oxygen desaturation.

NR 439 Week 2 Discussion

The quasi-experimental study analyzed data from one ICU, one progressive unit, and two telemetry units, encompassing a total of 52 beds. Results indicated that modifying settings based on patient needs led to a 25% reduction in alarms. This finding demonstrates the potential for improved patient safety and reduced staff fatigue through targeted alarm management strategies.

Relevance to My Clinical Setting

The study’s findings are directly applicable to my work environment, where excessive alarm frequency is a daily challenge. Customizing alarm settings per patient and improving lead maintenance could significantly decrease false alarms, enhance nurse responsiveness to critical events, and improve overall patient outcomes. Additionally, implementing these strategies could foster a calmer work environment, reduce staff burnout, and align with current patient safety goals established by The Joint Commission.

References

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

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

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