Background and Purpose: Emergency Department (ED) physicians often manage acute stroke patients without Neurology support at the bedside. Without guidance, they are left to rapidly assess, diagnose and treat acute stroke patients with minimal follow up on treatment effectiveness and patient outcomes. We hypothesized that introducing a Nurse Practitioner (NP) as Stroke Champion into an ED that did not have access to in-house Neurology would drive awareness of acute stroke care, and positively change practice to decrease door to needle times. Methods: The NP started in the 24-bed ED in June 2012. The average daily census of the ED for 2012 was 135 patients per day, and from January to June 2012, ED physicians initiated 46 stroke codes. Although Neurologists were available via telephone, ED physicians were left to accurately assess and initiate stroke codes, determine eligibility, and order IV tPA. In collaboration with the Stroke Medical Director, the Stroke NP conducted multiple education sessions regarding timing metrics in acute stroke care and door to tPA goals with ED clinicians, radiology, lab and pharmacy departments. Data was shared with stakeholders monthly to drive performance improvement initiatives. Results: Rapid improvements were made in all metrics. Mean time to CT first image improved by 19.3 minutes (37.3 to 18.0 minutes) in 6 months, and to 14.7 minutes in 1 year. CT result mean turn-around-time decreased by 19 minutes (from 54.0 to 29.1 minutes) in the first 6 months, and by 22.6 minutes (from 54.0 to 26.0 minutes) at 12 months. Likewise, laboratory result turn-around-times dramatically decreased by a mean of 15.9 minutes (54.4 to 38.5 minutes) over 6 months, and by a mean of 23 minutes (54.4 to 31.0 minutes) within 12 months. IV tPA treatment rates increased from 5% to 14.4% of all ischemic strokes. Door to IV tPA treatment times decreased by a mean of 33.9 minutes (104.5 to 70.6 minutes) in 6 months, and by 46.8 minutes (from 104.5 to 57.7 minutes) within the year. Conclusions: Introducing an NP into the ED to serve as Stroke Champion can provide added support to improve care of acute stroke patients by expediting assessment and treatment.

Introduction: In the early months of the COVID-19 pandemic, decreased numbers of stroke code activations were reported nationwide. In San Diego County, a diverse region that borders Mexico with over 4500 square miles and population 3.3 million, trends in COVID-19 cases varied geographically. We saw an overall decrease in stroke cases across our systems and aimed to better understand if high COVID infection rates in subregions affected stroke code activations. Methods: Stroke code activation data from 15 Stroke Receiving Centers were matched with COVID-19 case rates by patient home zip code. Patients arriving via emergency medical services (EMS) or private transportation were included. Patients with home zip codes outside of San Diego County were excluded. Data represented the cumulative rate of stroke codes and COVID-19 cases per 100,000 population per zip code for the period of March 1 through June 30, 2020. Results: We counted 1,927 stroke code activations across 106 zip codes in San Diego County. The average stroke code activation rate was 58.4 per 100,000 (range: 0-310.6) The median stroke code activation rate was 55.95 (IQR=32.1-73.1) per 100,000 population. The median COVID rate per zip code was 244.9 (IQR=177-448.4) per 100,000 population. There were 958 (49.7%) non-stroke diagnoses, 576 (29.9%) AIS, 272 (14.1%) TIA, 104 (5.4%) ICH and 17 (.9%) SAH. We did not identify a correlation between stroke code activation rates and COVID rates across zip codes (r=.17, p=.09, 95% CI(-.02, .35)). Conclusions: Across a large and diverse single-county region, no correlation was found between COVID positivity rate per zip code and stroke code activations. We found no decreases in stroke code activations in areas with high COVID rates.

Introduction: Many healthcare systems reported a decline in stroke admissions in the early months of the COVID-19 pandemic. We used real-time hospital admission data from Stroke Receiving Centers (SRCs) across San Diego County to quantify changes in stroke patients accessing healthcare with the onset of the COVID-19 pandemic. Rather than waiting for months-delayed discharge data, real-time stroke code data was used to understand the impact on healthcare utilization which may better inform mitigation strategies to encourage accessing care for acute stroke. Methods: We analyzed the total number of patients presenting to any of the 18 San Diego County SRCs for which a stroke code was activated between January 1, 2019 and July 31, 2020; and separated the times into: pre-pandemic (PP) as January 2019 thru February 2020, early-pandemic (EP) as March and April 2020, and mid-pandemic (MP) as May-July 2020. Patients arriving via emergency medical services or private transport were included. A public messaging campaign regarding the safety of accessing care for acute stroke started in early May 2020. Results: A total of 14,028 stroke codes were initiated between January 2019 and July 2020. An average of 43.2 stroke codes were activated per stroke center per month (range=39.6 to 46.7 activations per stroke center per month) during PP, 30.6 during EP and 37.7 during MP (p=.019). Overall, 30% fewer stroke code activations occurred during EP compared to the same months in the PP (p=.012). Mid-pandemic, there were 14.6% fewer stroke code activations compared to the same months pre-pandemic (p=.095). Conclusion: Stroke code activations decreased by 30% across San Diego County SRCs in the EP period compared to the previous year. It is unclear if this is primarily due to decreased healthcare utilization at the start of the COVID-19 pandemic or if there were changes in stroke incidence. MP showed stroke code activations increased compared to EP. This may be partially due to the public messaging campaign initiated after an analysis of PP to EP stroke code activations. We will continue to analyze stroke code data to better understand the impact of public messaging campaigns and determine when activations have returned to PP levels.