Implementation of an Algorithm for Utilization of the Rapid Response Nurse at a Non-Profit Hospital
No Thumbnail Available
Authors
Lane, Sarah
Issue Date
2021-05-14
Volume
Issue
Type
Manuscript
Language
Keywords
Alternative Title
Abstract
Hospitalized patients are being admitted with increased complexity and comorbidities, placing them at risk for severe adverse events (SAE). Cardiopulmonary arrests and unplanned transfers to the Intensive Care Unit (ICU) can be associated with increase in length of stay, disability, and mortality. The purpose of the quality improvement project was to implement an algorithm and provide education to nurses on the Progressive Care Unit (PCU) about the role of the Rapid Response Nurse, NEWS, and sepsis alerts. A knowledge gap was identified revealing a lack of education on identification/follow up when a patient was clinically declining. The setting was a PCU with a bed capacity of 31 patients and participants were staff nurses. An algorithm was initiated as well as education providing clinical guidance to staff on Sepsis, NEWS or critical vital sign alert appears. A Pre and Post Knowledge Survey was given to the staff. Computer generated reports of Medical Emergencies, RRT’s, and unplanned transfers were completed comparing pre and post implementation of the algorithm and education that had been provided. A data comparison was done and found that RRT’s nearly doubled, there were an increase in unplanned transfers, and one medical emergency. The goal of the project was to educate about early identification, understanding that RRT’s would likely increase, however with the goal of reducing medical emergencies and unplanned transfers. A major limitation with the timing of the study had to do with the Covid-19 pandemic and that PCU patients and staff were scattered throughout the hospital.
Description
Citation
Publisher
Creighton University
License
Copyright is retained by the Author. A non-exclusive distribution right is granted to Creighton University