Impact of a Mobile Tool on Stroke Code Time Documentation: The VICTUS Study
Cristina Sánchez-Vizcaíno1*, Andrés Macanás2*, David Vidal Mena1, Elena Conesa García1, Juan Antonio García-Carmona1, Ester Carreón Guarnizo1, Tatiana Espinosa Oltra1, María Cerdán Sánchez1, Teresa Tortosa Sánchez1, Eva Fages Caravaca1, María López López1, José Manuel Sánchez-Villalobos1, Ana Esther Baidez Guerrero1, María Dolores Ortega Ortega1
1Neurology Department, Santa Lucía University General Hospital, Cartagena, Spain.
2Product Director. Murcia, Spain.
*Corresponding Author: Cristina Sánchez-Vizcaíno, Neurology Department, Santa Lucía University General Hospital, Cartagena, Spain and Andres Macanas, Product Director. Murcia, Spain.
https://doi.org/10.58624/SVOANE.2024.06.008
Received: January 30, 2025
Published: March 04, 2025
Citation: Sánchez-Vizcaíno C, Macanás A, Vidal Mena D, Conesa García E, García-Carmona JA, Carreon Guarnizo E, Espinosa Oltra T, Cerdan Sanchez M, Tortosa Sánchez T, Fages Caravaca E, Lopez Lo pez M, Sánchez-Villalobos JM, Baidez Guerrero AE, Ortega Ortega MD. Impact of a Mobile Tool on Stroke Code Time Documentation: The VICTUS Study. SVOA Neurology 2025, 6:2, 39-46. doi. 10.58624/SVOANE.2024.06.008
Abstract
Introduction: Time tracking of acute stroke assistance is crucial for treatment goals. Resources availability varies among stroke centers. We aim to assess a low-cost mobile app's impact on collecting stroke assistance times in a traditional hospital.
Patients and Methods: Neurology consultants and residents tested the application prototype voluntarily from July 14 to September 30, 2021. A prospective observational study, based on pre- and post-implementation anonymous satisfaction surveys, was designed. While the primary objective was not data comparison, the stroke assistance time data were collected and compared with 2019 same months.
Results: The majority of volunteers (9/12) actively used the application. Most of them (88.8%) were satisfied both in terms of using the app and their confidence in registering patients. All users found it to be user-friendly and a valuable tool for data-driven decision making allowing an effortless data storage. The app notably decreases their perception of inaccurate or lost data and increases their motivation to record and improve stroke assistance times. Data collection process was standardized. Treated patients accounted for only 31% of total stroke phone calls (16/52). The median door-to-needle time was 20 minutes, IQR 12.5-26 minutes, showing a 16.6% relative reduction compared to the previous same period.
Discussion and conclusions: An easy-to-use time-tracking app can boost team motivation, streamline stroke care evaluation, and potentially improve response times. However, more research is needed for a comprehensive assessment.
Keywords: Storage and Retrieval; Mobile Applications; Stroke; Time Management; Time-to-Treatment; User-centered design.
