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

Journal Article (Journal Article;Multicenter Study)

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.

Full Text

Duke Authors

Cited Authors

  • Andrew, BY; Stack, CM; Yang, JP; Dodds, JA

Published Date

  • July 2017

Published In

Volume / Issue

  • 26 / 7

Start / End Page

  • 1449 - 1456

PubMed ID

  • 28434773

Electronic International Standard Serial Number (EISSN)

  • 1532-8511

Digital Object Identifier (DOI)

  • 10.1016/j.jstrokecerebrovasdis.2017.03.016


  • eng

Conference Location

  • United States