Evaluating the Safety and Efficacy of Telemedicine Physician Assessments on a Mobile Stroke Unit: Protocol for a Prospective Open‐Label Blinded End‐Point Randomized Controlled Trial

Background Mobile stroke units have been shown to deliver faster patient care and improve clinical outcomes. However, costs associated with staffing limit their use to densely populated cities. Using the Melbourne mobile stroke unit, we aim to evaluate the safety, timeliness, and resource efficiency...

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Main Authors: Vignan Yogendrakumar, Anna H. Balabanski, Hannah Johns, Leonid Churilov, Nicola K. Parsons, James Beharry, Louise Weir, Nawaf Yassi, Henry Zhao, Alex Warwick, Skye Coote, Francesca Langenberg, Leigh Branagan, Wasseem Siddiqi, Andrew Bivard, Bruce C. V. Campbell, Geoffrey A. Donnan, Stephen M. Davis
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
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Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.124.036856
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Summary:Background Mobile stroke units have been shown to deliver faster patient care and improve clinical outcomes. However, costs associated with staffing limit their use to densely populated cities. Using the Melbourne mobile stroke unit, we aim to evaluate the safety, timeliness, and resource efficiency of a telemedicine model, where the neurologist assesses a patient remotely, via telemedicine, compared with an onboard neurologist model. We hypothesize that, without compromising patient safety, the telemedicine model will provide timely care and superior resource efficiency. Methods Using a prospective, randomized, blinded end‐point controlled design, 270 participants consecutively assessed on the Melbourne mobile stroke unit over ≈12 months will be assigned into 2 arms: (1) telemedicine neurologist assessment (intervention) versus (2) onboard assessment (comparator). Enrollment is based on prospectively designated randomized days of neurologist review onboard versus telemedicine. The primary outcome will be the odds that a randomly selected participant in the telemedicine arm will have a better outcome than a randomly selected participant in the onboard arm, measured using a desirability‐of‐outcome ranking, an outcome measure that includes, in order of importance: (1) safety, (2) scene‐to‐treatment‐decision time metrics, and (3) resource usage. All participants within each arm will be compared with those in the other, resulting in a “win/tie/loss” distribution for telemedicine compared with the onboard model. Conclusions The study will establish whether use of a telemedicine neurologist delivers superior resource efficiency without compromising patient care. This would enable the broader use of mobile stroke units, particularly relevant to regions with limited access to neurologists, thus improving equity in access to time‐critical, lifesaving stroke care. Registration URL: clinicaltrials.gov; Unique Identifier: NCT05991310.
ISSN:2047-9980