摘要
Introduction: The current Joint Commission recommendation for door to skin puncture is less than 60 minutes for transfer cases. It is imperative that no time is lost in moving these patients safely through the Emergency Department (ED) to the Interventional Radiology (IR) Suite. The goal of this study was to assess if a rapid, 11-step nursing driven checklist could decrease time spent in the ED and subsequently improve our thrombectomy times in transfer patients. Methods: We developed the following 11 steps: (1) ED staff is notified of incoming ED Pause transfer. (2) ED receives report from sending facility RN. (3) Register the patient upon arrival.(4) Activate EMS Stroke alert. (5) Verify patient's identity using two patient identifiers, apply wristband. (6) Vital signs (to ensure no decompensation en route), connect patient to the transport monitor. (7) Chart weight in the system. (8) Confirm two working IVs. (9) Confirm negative Covid test or send a rapid if a negative Covid test cannot be confirmed. (10) Ensure the patient is undressed and ready to go to IR. (11) Confirm the 'admit to inpatient' order is placed. ED staff were educated and checklists were posted in the ambulance bay and nurses' station. Data were reviewed pre- (April 2019 to March 2020) and post- (April 2020 to March2021) implementation to assess the percentage of patients captured by the tool and its impaction thrombectomy times. Data were analyzed using a t-test. Results: There were 25 patients transferred in the post vs 16 in the pre-implementation group. The median door to skin puncture (DTS) (post: 37 mins {IQR 31-43} vs. pre: 50 mins {IQR 47- 71}p=0.045), door to device deployed (post: 52 mins {IQR 45-65} vs. pre: 70 mins {IQR 65- 94}p=0.037), and door to recanalization (post: 71 mins {IQR 54-102} vs. pre: 99 mins {IQR 70- 118}p=0.043) times decreased in the post implementation group. Conclusion: A nursing driven ED checklist is a successful tool in decreasing thrombectomy times in transfer patients.
摘要
Objective: The objectives of this study were to measure the global impact of the pandemic on the volumes for intravenous thrombolysis (IVT), IVT transfers, and stroke hospitalizations over 4 months at the height of the pandemic (March 1 to June 30, 2020) compared with two control 4-month periods. Background: The COVID-19 pandemic led to widespread repercussions on the delivery of health care worldwide. Design/Methods: We conducted a cross-sectional, observational, retrospective study across 6 continents, 70 countries, and 457 stroke centers. Diagnoses were identified by ICD-10 codes and/or classifications in stroke center databases. Results: There were 91,373 stroke admissions in the 4 months immediately before compared to 80,894 admissions during the pandemic months, representing an 11.5% (95%CI,-11.7 to-11.3, p<0.0001) decline. There were 13,334 IVT therapies in the 4 months preceding compared to 11,570 procedures during the pandemic, representing a 13.2% (95%CI,-13.8 to-12.7, p<0.0001) drop. Interfacility IVT transfers decreased from 1,337 to 1,178, or an 11.9% decrease (95%CI,-13.7 to-10.3, p=0.001). There were greater declines in primary compared to comprehensive stroke centers (CSC) for stroke hospitalizations (-17.3% vs-10.3%, p<0.0001) and IVT (-15.5% vs-12.6%, p=0.0001). Recovery of stroke hospitalization volume (9.5%, 95%CI 9.2-9.8, p<0.0001) was noted over the two later (May, June) versus the two earlier (March, April) months of the pandemic, with greater recovery in hospitals with lower COVID-19 hospitalization volume, high volume stroke center, and CSC. There was a 1.48% stroke rate across 119,967 COVID-19 hospitalizations. SARS-CoV-2 infection was noted in 3.3% (1,722/52,026) of all stroke admissions. Conclusions: The COVID-19 pandemic was associated with a global decline in the volume of stroke hospitalizations, IVT, and interfacility IVT transfers. Primary stroke centers and centers with higher COVID19 inpatient volumes experienced steeper declines. Recovery of stroke hospitalization was noted in the later pandemic months, with greater recovery in hospitals with lower COVID-19 hospitalizations, high volume stroke centers, and CSCs.
摘要
Objective: In this study we report how the increase in the number of teleneurology visits at a tertiary academic center has led to better clinic attendance by patients. We compared data between the pre-COVID-19 period (January 2019 to February 2020) to the active-COVID-19 period (March 2020 to August 2020). Background: The COVID-19 pandemic has led to major changes in healthcare with a general trend toward telemedicine. More specifically, in the field of Neurology there has been a rapid transition to teleneurology as a method of delivering outpatient care to patients with neurological disorders. Design/Methods: Data was retrospectively collected from all outpatient telephone and video visits conducted in the Department of Neurology from January 2019 to August 2020. Data was analyzed using t-test. Results: Average teleneurology visits during the pre-COVID period were 646 visits per month vs the active-COVID period which showed a dramatic increase to 1686 visits per month. The number of no show teleneurology visits decreased from 1.18% per month during pre-COVID to 0.57% during active-COVID (p= .018). There was also an overall increase in Video appointments as a percentage of total Teleneurology visits, increasing from 5.98% to 13.71% over the same period (p= .0001). Conclusions: This study demonstrates that telemedicine is a feasible method to provide care to neurology patients. Patients are willing to have virtual appointments, evidenced by the 260% increase in virtual visits per month during the active-COVID period. Telemedicine also helps to facilitate patient adherence with follow up appointments across Neurology subspecialties. This is vital to help ensure compliance with medications and other treatment paradigms to allow for better neurological outcomes.
摘要
Introduction: The COVID-19 pandemic presents obstacles to time sensitive emergencies, such as stroke care. In acute strokes, knowing the COVID-19 status may help to preserve personal protective equipment (PPE) in patients in whom a thrombectomy may be indicated and helps to decrease unnecessary exposure. This study aims to demonstrate that rapid evaluation of a patient's COVID-19 status is feasible without delaying treatment times. Methods: An intradisciplinary team was convened to create a workflow for rapid COVID-19 testing. The Abbott Rapid® COVID-19 swab kit and assay were stocked in the ED Pyxis, utilizing the narcotic count feature to ensure all swabs were accounted. Upon activation of Code Stroke, the ED RN donned PPE and swabbed the patient's naso-oral pharynx. The collected swab was labeled, placed in a bio-hazard bag, sanitized and handed to a second RN outside of the room. The specimen was taken to a pre-alerted lab technician who prepped the assay after hearing the code stroke. After specimen collection, the patient followed the normal code stroke pathway and was taken to the CT scanner. Metrics were analyzed for the pre COVID-19 (January through April) and during active COVID-19 (May through July) periods. Results: There were 136 code strokes from January thru July 2020. 81 were during pre-COVID vs. 55 during active-COVID. 47 of 55 (96%) were swabbed, 2 (4%) of whom were positive. There was no difference between pre-COVID and active-COVID door to CT initiated time (16 mins [IQR 13-24] vs. 22 mins [IQR 13-25] p=0.75), door to CT resulted time (21 mins [IQR 15-26]) vs. 23 mins [IQR 16-29] p=0.63). 18 patients received tPA pre-COVID and 5 during active-COVID with no difference in DTN (pre: 37.5 mins [IQR 30-43] vs. active: 28 mins {IQR 26-41] p=0.37). Door to CT initiated was faster for those who had their COVID swab performed pre-CT (14 mins [IQR 11.5-16.5] p=0.034) vs. post-CT (20 mins [IQR 17-28]). Likewise, door to CT resulted was also faster pre-CT: 24 mins [IQR 19-32] vs. post-CT: 17 mins [IQR 15-23] (p=0.04). Conclusion: The COVID-19 rapid swab code stroke process was feasible and did not delay treatment times.
摘要
Introduction: Many clinical trials have suffered poor enrollment or have been placed on hold due to the COVID-19 pandemic. Limitations on in-person interaction with patients, legally authorized representatives, coordinators, and physician investigators disrupt research processes including screening, consent, randomization, and study interventions. Remote enrollment practices incorporating telemedicine and electronic consent may address these enrollment limitations. Methods: We retrospectively reviewed clinical trial enrollments in two pivotal phase-III acute stroke trials (NCT03735979, NCT03785678) at two high-volume stroke centers that routinely use remote enrollments in clinical research. Individual elements of acute clinical stroke trial enrollment, including: screening, consent, randomization, and intervention were reviewed. For each research phase, we compared the rate of successful completion and research protocol violations for inperson vs remote research via Fisher's exact test. Results: Forty patients were reviewed (median age 72 [IQR 63-84], 50% female, median NIHSS 13 [IQR 7.5-19.5];35 patient were enrolled and 5 were screened and consented, but found ineligible on qualifying imaging. All research phases were completed successfully with the exception of one inperson study intervention. Fisher's exact test revealed no differences in protocol violations between research elements conducted remotely (predominantly via telemedicine) versus in-person (see Table). Conclusion: Our study revealed no difference in successful completion of acute clinical trial research elements when conducted remotely or in-person. Incorporation of remote research, especially telemedicine, may enable stroke clinical trial enrollments both during the COVID 19 pandemic and beyond. (Figure Presented).
摘要
Background: Identifying and tracking COVID-19 related data has been crucial to the pandemic response. Most hospital systems have created internal tracking databases specific to COVID-19 but separated from other disease specific data pools. Traditional methods for tracking and trending novel and specific data such as COVID-19 related strokes may require personnel with highly technical skills to abstract the data. We aimed to create a COVID-19 stroke dashboard which would easily auto-abstract and update data. Methods: A simple monitoring system was designed using PowerBI™ and Microsoft Suite™ products that model existing data sources without using other IT resources. Existing data queries from various sources were modeled into one report and the resulting data model was used to track and trend incidence of COVID-19 and its relationship to stroke care throughout a 14- hospital stroke system. Results: The report allowed region-wide identification and evaluation of several metrics, including: volume of code strokes, the volume of patients who had a stroke within two weeks before or after testing positive for COVID-19, the initial NIHSS, if alteplase was administered, reason for no alteplase administration, delay in alteplase administration and if related to COVID-19 and the relationship of COVID-19 cases to the volume of code strokes. It was found that the volume of code strokes significantly decreased during the time of the pandemic and was inversely related to the volume of COVID-19 positive cases being reported in a county. The tool also found that COVID-19 positive stroke patients increased as the overall COVID-19 hospital volume increased. Conclusion: Assessing the relationships between a novel disease and other disease states may lead to changes in hospital workflows and practices resulting into improved patient outcomes.