Outcomes From a Nursing-Driven Acute Stroke Care Protocol for Telehealth Encounters.

INTRODUCTION: Nursing care is widely recognized to be a vital element in stroke care delivery. However, no publications examining clinical education and optimal workflow practices as predictors of acute ischemic stroke care metrics exist. This study aimed to explore the impact of a nurse-led workflow to improve patient care that included telestroke encounters in the emergency department. METHODS: A nonrandomized prospective pre- and postintervention unit-level feasibility study design was used to explore how implementing nurse-driven acute stroke care affects the efficiency and quality of telestroke encounters in the emergency department. Nurses and providers in the emergency department received education/training, and then the Nursing-Driven Acute Ischemic Stroke Care protocol was implemented. RESULTS: There were 180 acute ischemic stroke encounters (40.3%) in the control phase and 267 (59.7%) in the postintervention phase with similar demographic characteristics. Comparing the control with intervention times directly affected by the nurse-driven protocol, there was a significant reduction in median door-to-provider times (5 [interquartile range 12] vs 2 [interquartile range 9] minutes, P < .001) and in median door-to-computed tomography scan times (9 [interquartile range 18] vs 5 [interquartile range 11] minutes, P < .001); however, the metrics potentially affected by extraneous variables outside of the nurse-driven protocol demonstrated longer median door-to-ready times (21 [interquartile range 24] vs 25 [interquartile range 25] minutes, P < .001). Door-to-specialist and door-to-needle times were not significantly different. DISCUSSION: In this sample, implementation of the nurse-driven acute stroke care protocol is associated with improved nurse-sensitive stroke time metrics but did not translate to faster delivery of thrombolytic agents for acute ischemic stroke, emphasizing the importance of well-outlined workflows and standardized stroke code protocols at every point in acute ischemic stroke care.

mStroke: "Mobile Stroke"-Improving Acute Stroke Care with Smartphone Technology.

OBJECTIVE: This study aimed to evaluate the effect of method and time of system activation on clinical metrics in cases utilizing the Stop Stroke (Pulsara, Inc.) mobile acute stroke care coordination application. METHODS: A retrospective cohort analysis of stroke codes at 12 medical centers using Stop Stroke from March 2013 to May 2016 was performed. Comparison of metrics (door-to-needle time [DTN] and door-to-CT time [DTC], and rate of DTN ≤ 60 minutes [goal DTN]) was performed between subgroups based on method (emergency medical service [EMS] versus emergency department [ED]) and time of activation. Effects were adjusted for confounders (age, sex, National Institutes of Health Stroke Scale [NIHSS] score) using multiple linear and logistic regression. RESULTS: The final dataset included 2589 cases. Cases activated by EMS were more severe (median NIHSS score 8 versus 4, P < .0001) and more likely to receive recombinant tissue plasminogen activator (20% versus 12%, P < .0001) than those with ED activation. After adjustment, cases with EMS activation had shorter DTC (6.1 minutes shorter, 95% CI [-10.3, -2]) and DTN (12.8 minutes shorter, 95% CI [-21, -4.6]) and were more likely to meet goal DTN (OR 1.83, 95% CI [1.1, 3]). Cases between 1200 and 1800 had longer DTC (7.7 minutes longer, 95% CI [2.4, 13]) and DTN (21.1 minutes longer, 95% CI [9.3, 33]), and reduced rate of goal DTN (OR .3, 95% CI [.15, .61]) compared to those between 0000 and 0600. CONCLUSIONS: Incorporating real-time prehospital data obtained via smartphone technology provides unique insight into acute stroke codes. Activation of mobile electronic stroke coordination in the field appears to promote a more expedited and successful care process.

Feasibility and Efficacy of Nurse-Driven Acute Stroke Care.

BACKGROUND: Acute stroke care requires rapid assessment and intervention. Replacing traditional sequential algorithms in stroke care with parallel processing using telestroke consultation could be useful in the management of acute stroke patients. The purpose of this study was to assess the feasibility of a nurse-driven acute stroke protocol using a parallel processing model. METHODS: This is a prospective, nonrandomized, feasibility study of a quality improvement initiative. Stroke team members had a 1-month training phase, and then the protocol was implemented for 6 months and data were collected on a "run-sheet." The primary outcome of this study was to determine if a nurse-driven acute stroke protocol is feasible and assists in decreasing door to needle (intravenous tissue plasminogen activator [IV-tPA]) times. RESULTS: Of the 153 stroke patients seen during the protocol implementation phase, 57 were designated as "level 1" (symptom onset <4.5 hours) strokes requiring acute stroke management. Among these strokes, 78% were nurse-driven, and 75% of the telestroke encounters were also nurse-driven. The average door to computerized tomography time was significantly reduced in nurse-driven codes (38.9 minutes versus 24.4 minutes; P < .04). CONCLUSIONS: The use of a nurse-driven protocol is feasible and effective. When used in conjunction with a telestroke specialist, it may be of value in improving patient outcomes by decreasing the time for door to decision for IV-tPA.

Prehospital utility of rapid stroke evaluation using in-ambulance telemedicine: a pilot feasibility study.

BACKGROUND AND PURPOSE: Prehospital evaluation using telemedicine may accelerate acute stroke treatment with tissue-type plasminogen activator. We explored the feasibility and reliability of using telemedicine in the field and ambulance to help evaluate acute stroke patients. METHODS: Ten unique, scripted stroke scenarios, each conducted 4 times, were portrayed by trained actors retrieved and transported by Houston Fire Department emergency medical technicians to our stroke center. The vascular neurologists performed remote assessments in real time, obtaining clinical data points and National Institutes of Health (NIH) Stroke Scale, using the In-Touch RP-Xpress telemedicine device. Each scripted scenario was recorded for a subsequent evaluation by a second blinded vascular neurologist. Study feasibility was defined by the ability to conduct 80% of the sessions without major technological limitations. Reliability of video interpretation was defined by a 90% concordance between the data derived during the real-time sessions and those from the scripted scenarios. RESULTS: In 34 of 40 (85%) scenarios, the teleconsultation was conducted without major technical complication. The absolute agreement for intraclass correlation was 0.997 (95% confidence interval, 0.992-0.999) for the NIH Stroke Scale obtained during the real-time sessions and 0.993 (95% confidence interval, 0.975-0.999) for the recorded sessions. Inter-rater agreement using κ-statistics showed that for live-raters, 10 of 15 items on the NIH Stroke Scale showed excellent agreement and 5 of 15 showed moderate agreement. Matching of real-time assessments occurred for 88% (30/34) of NIH Stroke Scale scores by ±2 points and 96% of the clinical information. CONCLUSIONS: Mobile telemedicine is reliable and feasible in assessing actors simulating acute stroke in the prehospital setting.

Targeting telestroke: benchmarking time performance in telestroke consultations.

OBJECTIVE: To describe the length of time physicians spend completing telestroke consultations and examine factors associated with that period. METHODS: This is a retrospective review of data from telestroke software. Clinical data obtained between July 2010 and February 2011 from 8 hub and 24 spoke hospitals were abstracted for 235 consecutive consultations and linked to time metadata generated by software interaction. Consult length was defined as the time logged on to the robot and was exclusive of any telephone interaction or documentation time. Response time was defined as patient arrival to physician log-on. RESULTS: Mean consult length for 203 complete, time-stamped cases was 14.5 minutes. There was no independent association between consult length and age, diagnosis, time of arrival from symptom onset, neurological exam findings, known recombinant tissue plasminogen activator (r-tPA) contraindications, and absence of vascular risk factors. Mean consult length was statistically longer in r-tPA-recommended cases (20.0 versus 15.3 minutes; P = .04). Mean response time was 76.3 minutes. CONCLUSIONS: The relatively short consult length suggests a workflow model in which acute stroke care is largely completed before telestroke consultation with a specialist rendering an expert opinion on previously gathered data performed off-line. The findings for prolonged response times indicate an area for improvement. Future workflow models for telestroke consultation will need to be reconsidered to optimize quality of care and clinical efficiency.

A model to prevent fibrinolysis in patients with stroke mimics.

BACKGROUND: Many patients with stroke-mimicking conditions receive treatment with intravenous fibrinolysis (IVF), a treatment associated with potentially serious complications. We sought to determine if any clinical or radiographic characteristics can help predict stroke mimics among IVF candidates. METHODS: This retrospective study was carried out at a single institution. Patients treated with intravenous recombinant tissue plasminogen activator (rt-PA; n = 193) were divided into 3 categories: acute ischemic stroke (n = 142), aborted stroke (n = 21), and stroke mimics (n = 30). Analysis of variance and the chi-square test were used to assess differences, while logistic regression models were computed to predict groups. RESULTS: Mimics treated with rt-PA did not experience complications (intracranial bleeding, systemic hemorrhage, or angioedema), and had better neurologic and functional outcomes than stroke patients (P < .05). Several variables helped differentiate strokes from mimics, including atherosclerosis on computed tomographic angiography (odds ratio [OR] 23.6; 95% confidence interval [CI] 8.4-66.2), atrial fibrillation (OR 11.4; 95% CI 1.5-86.3), age >50 years (OR 7.2; 95% CI 2.8-18.5), and focal weakness (OR 4.15; 95% CI 1.75-9.8). Other variables decreased chances of stroke: migraine history (OR 0.05; 95% CI 0.01-0.4), epilepsy (OR 0.13; 95% CI 0.02-0.8), paresthesia (OR 0.1; 95% CI 0.04-0.3), and precordialgia (OR 0.045; 95% CI 0.002-0.9). A regression model using focal weakness, computed tomographic angiography findings, and precordialgia had a 90.2% predictive accuracy. CONCLUSIONS: IVF has low complication rates in stroke mimics. Certain clinical characteristics appear predictive of stroke mimics, particularly normal computed tomographic angiography. If confirmed, this may help prevent giving IVF to patients without stroke.