A Randomized Trial of Telemedicine Models of Care on a Mobile Stroke Unit

Рандомизированное исследование телемедицинских моделей оказания помощи в мобильном инсультном подразделении
Bcv Campbell, Nawaf Yassi, Skye Coote, Felix Ng, Leonid Churilov, Henry Zhao, Vignan Yogendrakumar, Geoffrey Cloud, Anna H. Balabanski, Hannah Johns, Chloe A. Mutimer, James L. Barker, N. Parsons, Soo Jeong Shin, James Beharry, Louise Weir, Alex Warwick, Francesca Langenberg, Leigh Branagan, Waseem Siddiqi, Grant Hocking, Lauren M. Sanders, P. Choi, Tissa H Wijeratne, Douglas E. Crompton, H. Ma, G. B. Donnan, S. M. Davis, Louise Weir
2025-12-22

composite hierarchical outcomemobile stroke unitonboard modelscene-to-treatment-decision timetelemedicine model
BACKGROUND: Mobile stroke units (MSUs) accelerate prehospital acute stroke care and improve outcomes. Both onboard and telemedicine neurologist models of care are used but have not been directly compared. METHODS: MSU-TELEMED was a randomized, open-label, blinded-endpoint trial comparing onboard neurologist care to a telemedicine care model for people presenting to an MSU with suspected stroke. MSU care was prospectively randomized by day to onboard versus telemedicine care. The primary outcome was a hierarchical composite outcome using a win-odds approach that prioritized: (1) safety, (2) scene-to-treatment-decision time, and (3) percentage of the total case time the neurologist spent in direct care (higher values denote better resource use). Every participant in each group was compared to those in the other, resulting in a "win/tie/loss" distribution for telemedicine compared to onboard. RESULTS: A total of 275 participants were assigned to telemedicine (n=135) or onboard (n=140) neurologist care groups. The primary outcome of win/tie/loss distribution favored the telemedicine model (76%/4%/20%) with an adjusted win odds of 3.5 (95% confidence interval [CI], 2.4-5.1). Safety events were similar (13% telemedicine vs. 12% onboard, risk ratio 0.9; 95% CI, 0.5-1.8). Median scene-to-treatment-decision time was 19 minutes in the telemedicine group and 13 minutes in the onboard group (adjusted difference in median time 4 minutes; 95% CI, 1.9-5.9). The median percentage of the neurologist's time directly involved in patient care was 100% in the telemedicine group and 33% in the onboard group (adjusted difference in median percentage 63 percentage points; 95% CI, 53-74). CONCLUSIONS: Compared to an onboard model, an MSU telemedicine model of care was superior based on a composite hierarchical outcome of safety, scene-to-treatment-decision time, and percentage of the neurologist's time spent in direct care. (Funded by the Sylvia and Charles Viertel Charitable Foundation and the Medical Research Future Fund "Golden Hour"; ClinicalTrials.gov number, NCT05991310.).
1
A telemedicine model of care on a mobile stroke unit (MSU) was superior to an onboard neurologist model based on a composite hierarchical outcome.
2
The composite outcome included safety, scene-to-treatment-decision time, and percentage of the neurologist's time spent in direct care.
3
The superiority of the MSU telemedicine model was demonstrated in a randomized trial (ClinicalTrials.gov NCT05991310).

Mobile Stroke Unit (MSU) telemedicine model of care

Comparative effectiveness on safety, scene-to-treatment-decision time, and proportion of neurologist's time in direct care (composite hierarchical outcome) between telemedicine and onboard care models

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Publication Date
2025-12-22
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Authors
Bcv Campbell
Nawaf Yassi
Skye Coote
Felix Ng
Leonid Churilov
Henry Zhao
Vignan Yogendrakumar
Geoffrey Cloud
Anna H. Balabanski
Hannah Johns
Chloe A. Mutimer
James L. Barker
N. Parsons
Soo Jeong Shin
James Beharry
Louise Weir
Alex Warwick
Francesca Langenberg
Leigh Branagan
Waseem Siddiqi
Grant Hocking
Lauren M. Sanders
P. Choi
Tissa H Wijeratne
Douglas E. Crompton
H. Ma
G. B. Donnan
S. M. Davis
Louise Weir
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