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Título : | Hospital Epidemics Tracker (HEpiTracker): description and pilot study of a mobile app to track COVID-19 in hospital workers |
Autor : | Soriano Ortiz, Joan B. Fernández Muñoz, Ángel Esteve de Astorza Vergara, Álvaro Pérez de Llano, Luis A. Fernández Villar, José Alberto Carnicer-Pont, Dolors Alcázar Navarrete, Bernardino García de Diego, Arturo Morales Guerrero, Aurelio Lobo García, María Maroto Pérez, Marcos Ferreras Puente, Eloy Soriano Ortiz, Cecilia del Río Bermúdez, Carlos Vega Piris, Lorena Basagaña, Xavier Muncunill Farreny, Josep García-Cosio Piqueras, Borja Lumbreras Sancho, Sara Catalina Esteban, Carlos Alzaga Molaguero, Jose María Gómez Quilón, David Valdivia, Carlos Alberto de Lara, Celia Ancochea Bermúdez, Julio |
Fecha de publicación : | 21-sep-2020 |
Resumen : | Background: Hospital workers are the most frequently and severely affected by the COVID-19 pandemic, and one of the population groups that can have the biggest impact on transmission. In this context, innovative tools are required to measure the symptoms compatible with COVID-19, the spread of infection, and testing capabilities within hospitals in real-time. Objective: We aimed to develop and test an effective and user-friendly tool to identify and track the symptoms compatible with COVID-19 in hospital workers. Methods: We present the development and pilot testing of HEpiTracker, a newly designed app to track the spread of COVID-19 among hospitals workers. Hospital staff in nine hospital centers across five Spanish regions (Andalucia, Balearics, Catalonia, Galicia, and Madrid) were invited to download the app on their phones via https:www.hepitracker.com and to register their daily body temperature, COVID-19-compatible symptoms and general health score, as well as any PCR and serological test results. Results: A total of 477 hospital staff participated in the study between April 8th and June 2nd, 2020. Of note, both health- (n=329) and non-health- (n=148) related professionals participated in the study, resulting in over two thirds of participants (68.8) being health workers, with 43.4 physicians and 25.4 nurses, while the proportion of non-health workers by centre ranged from 40 to 85. Most participants were female (67.5; n = 323), with a mean (±SD) age of 45.4 (±10.6) years. Regarding smoking habits, 13.0 and 34.2 of participants were current or former smokers, respectively. The daily report of symptoms was highly variable across participating hospitals; whereas we observed a decline in adherence after an initial participation peak in some hospitals, other sites were characterized by low participation rates throughout the study period. Conclusions: HEpiTracker is an already available tool to monitor COVID-19 and other epidemics in hospital workers. This tool has already been tested in real conditions. HEpiTracker is available in Spanish, Portuguese, and English and holds the potential to become a customized asset to be used in future COVID-19 pandemic waves and other environments. |
Descripción : | Artículos en revistas |
URI : | https:doi.org10.219621653 |
ISSN : | 2369-2960 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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IIT-20-059A.pdf | 610,79 kB | Adobe PDF | Visualizar/Abrir |
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