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The use of a smartphone application to improve stroke code workflow metrics: A pilot study in a comprehensive stroke
Raquel Gutiérrez-Zúñiga1, Jorge Uclés1, Juan Carlos Sánchez-Manso1
1Department of Neurology and Stroke Centre, Hospital La Paz Institute for Health Research-IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, Madrid, Spain.
Background:
Timely coordination between stroke team members is of relevance for stroke code management. We explore the feasibility and potential utility of a smartphone application for clinical and neuroimaging data sharing for improving workflow metrics of stroke code pathways, and professionals' opinions about its use.
Methods:
We performed an observational pilot study including stroke code activations at La Paz University Hospital in Madrid, from June 2019 to March 2020. Patients were classified according to the activation or not of the JOIN app by the attending physician. Clinical data and time-to-procedures were retrieved from the app or from the hospital records and the Madrid regional stroke registry as appropriate and compared between both groups. An anonymous survey collected professionals' opinions about the app and its use.
Results:
A total of 282 stroke code activations were registered. The JOIN app was activated in 111 (39%) cases. They had a significant reduction in imaging-to-thrombolysis (31 vs 20 min, p = .026) and in door-to-thrombolysis times (51 vs 36 min, p = .004), with more patients achieving a door-to-needle time below 45 min (68.8% vs 37.8%, p = .016). About 50% of the users found the app useful for facilitating the diagnosis and decision-making; interoperability with clinical files was considered an opportunity for improvement.
Conclusions:
This pilot study suggests that JOIN helps improve and document workflow metrics in acute stroke management in a comprehensive stroke centre. These results support testing JOIN in a prospective randomised study to confirm its usefulness and the general applicability of the results.
