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Hospital Epidemics Tracker (HEpiTracker): description and pilot study of a mobile app to track COVID-19 in hospital workers

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IIT-20-059A.pdf (610.7Kb)
Fecha
2020-09-21
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
Estado
info:eu-repo/semantics/publishedVersion
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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.
 
URI
https:doi.org10.219621653
Hospital Epidemics Tracker (HEpiTracker): description and pilot study of a mobile app to track COVID-19 in hospital workers
Tipo de Actividad
Artículos en revistas
ISSN
2369-2960
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

App; COVID-19; E-medicine; Monitoring; Symptoms; Surveillance
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Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
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Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
Contacto | Sugerencias