Abstract

Background: While the incidence of Pediatric stroke is low at 2.3 to 13 per 100,000 children, our institution saw a need for a pediatric stroke algorithm to provide guidance when children present with stroke symptoms. The process began with development and release of a pediatric stroke guideline in 2017. After initiation of the guideline, mock stroke alerts periodically were performed with feedback provided by staff. After several reviews and revisions, the paradigm of a guideline was discarded in favor of an algorithm, a more accurate reflection of the necessity for clinical judgement rather than a series of predetermined steps. In June 2020, the Pediatric Stroke Algorithm was revised to incorporate one algorithm for both Emergency Room (ER) and inpatient areas after a recent mock stroke alert in the Pediatric Intensive Care Unit (PICU) and following feedback. The purpose behind our process improvement project was to provide education regarding the updated Pediatric Stroke Algorithm to all relevant clinical areas. Methods: The first step was to identify the staff in patient care areas that would need education on the updated Pediatric Stroke Algorithm. Next, we identified the methods of communication that would be utilized to ensure all staff received proper education. Results: In 2020, the updated Pediatric Stroke Algorithm document was placed on the UK HealthCare Care Web page (Clinical Web Page). Information on the location of the document was sent to the key stakeholders for nursing, physician, and appropriate ancillary staff in the ER and PICU for further distribution. The algorithm was presented in various stroke committee meetings and sent by email to team members of these committees to share with their staff. The algorithm was further presented at the PICU Collaborative Practice Meeting and posted on the PICU share point site, in the ER, and PICU areas. Conclusions: A comprehensive educational process of the revised Pediatric Stroke Algorithm was successfully completed with all the appropriate staff.

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