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

BACKGROUND: Hospital workers have been the most frequently and severely affected professional group during the COVID-19 pandemic, and have a big impact on transmission. In this context, innovative tools are required to measure the symptoms compatible with COVID-19, the spread of infection, and testi...

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Autores principales: Soriano, Joan B, Fernández, Esteve, de Astorza, Álvaro, Pérez de Llano, Luis A, Fernández-Villar, Alberto, Carnicer-Pont, Dolors, Alcázar-Navarrete, Bernardino, García, Arturo, Morales, Aurelio, Lobo, María, Maroto, Marcos, Ferreras, Eloy, Soriano, Cecilia, Del Rio-Bermudez, Carlos, Vega-Piris, Lorena, Basagaña, Xavier, Muncunill, Josep, Cosio, Borja G, Lumbreras, Sara, Catalina, Carlos, Alzaga, José María, Gómez Quilón, David, Valdivia, Carlos Alberto, de Lara, Celia, Ancochea, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511223/
https://www.ncbi.nlm.nih.gov/pubmed/32845852
http://dx.doi.org/10.2196/21653
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author Soriano, Joan B
Fernández, Esteve
de Astorza, Álvaro
Pérez de Llano, Luis A
Fernández-Villar, Alberto
Carnicer-Pont, Dolors
Alcázar-Navarrete, Bernardino
García, Arturo
Morales, Aurelio
Lobo, María
Maroto, Marcos
Ferreras, Eloy
Soriano, Cecilia
Del Rio-Bermudez, Carlos
Vega-Piris, Lorena
Basagaña, Xavier
Muncunill, Josep
Cosio, Borja G
Lumbreras, Sara
Catalina, Carlos
Alzaga, José María
Gómez Quilón, David
Valdivia, Carlos Alberto
de Lara, Celia
Ancochea, Julio
author_facet Soriano, Joan B
Fernández, Esteve
de Astorza, Álvaro
Pérez de Llano, Luis A
Fernández-Villar, Alberto
Carnicer-Pont, Dolors
Alcázar-Navarrete, Bernardino
García, Arturo
Morales, Aurelio
Lobo, María
Maroto, Marcos
Ferreras, Eloy
Soriano, Cecilia
Del Rio-Bermudez, Carlos
Vega-Piris, Lorena
Basagaña, Xavier
Muncunill, Josep
Cosio, Borja G
Lumbreras, Sara
Catalina, Carlos
Alzaga, José María
Gómez Quilón, David
Valdivia, Carlos Alberto
de Lara, Celia
Ancochea, Julio
author_sort Soriano, Joan B
collection PubMed
description BACKGROUND: Hospital workers have been the most frequently and severely affected professional group during the COVID-19 pandemic, and have a big 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 symptoms compatible with COVID-19 in hospital workers. METHODS: We developed and pilot tested Hospital Epidemics Tracker (HEpiTracker), a newly designed app to track the spread of COVID-19 among hospital workers. Hospital staff in 9 hospital centers across 5 Spanish regions (Andalusia, Balearics, Catalonia, Galicia, and Madrid) were invited to download the app on their phones and to register their daily body temperature, COVID-19–compatible symptoms, and general health score, as well as any polymerase chain reaction and serological test results. RESULTS: A total of 477 hospital staff participated in the study between April 8 and June 2, 2020. Of note, both health-related (n=329) and non–health-related (n=148) professionals participated in the study; over two-thirds of participants (68.8%) were health workers (43.4% physicians and 25.4% nurses), while the proportion of non–health-related workers by center ranged from 40% to 85%. Most participants were female (n=323, 67.5%), with a mean age of 45.4 years (SD 10.6). Regarding smoking habits, 13.0% and 34.2% of participants were current or former smokers, respectively. The daily reporting of symptoms was highly variable across participating hospitals; although 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 infectious diseases in hospital workers. This tool has already been tested in real conditions. HEpiTracker is available in Spanish, Portuguese, and English. It has the potential to become a customized asset to be used in future COVID-19 pandemic waves and other environments. TRIAL REGISTRATION: ClinicalTrials.gov NCT04326400; https://clinicaltrials.gov/ct2/show/NCT04326400
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spelling pubmed-75112232020-10-05 Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers Soriano, Joan B Fernández, Esteve de Astorza, Álvaro Pérez de Llano, Luis A Fernández-Villar, Alberto Carnicer-Pont, Dolors Alcázar-Navarrete, Bernardino García, Arturo Morales, Aurelio Lobo, María Maroto, Marcos Ferreras, Eloy Soriano, Cecilia Del Rio-Bermudez, Carlos Vega-Piris, Lorena Basagaña, Xavier Muncunill, Josep Cosio, Borja G Lumbreras, Sara Catalina, Carlos Alzaga, José María Gómez Quilón, David Valdivia, Carlos Alberto de Lara, Celia Ancochea, Julio JMIR Public Health Surveill Original Paper BACKGROUND: Hospital workers have been the most frequently and severely affected professional group during the COVID-19 pandemic, and have a big 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 symptoms compatible with COVID-19 in hospital workers. METHODS: We developed and pilot tested Hospital Epidemics Tracker (HEpiTracker), a newly designed app to track the spread of COVID-19 among hospital workers. Hospital staff in 9 hospital centers across 5 Spanish regions (Andalusia, Balearics, Catalonia, Galicia, and Madrid) were invited to download the app on their phones and to register their daily body temperature, COVID-19–compatible symptoms, and general health score, as well as any polymerase chain reaction and serological test results. RESULTS: A total of 477 hospital staff participated in the study between April 8 and June 2, 2020. Of note, both health-related (n=329) and non–health-related (n=148) professionals participated in the study; over two-thirds of participants (68.8%) were health workers (43.4% physicians and 25.4% nurses), while the proportion of non–health-related workers by center ranged from 40% to 85%. Most participants were female (n=323, 67.5%), with a mean age of 45.4 years (SD 10.6). Regarding smoking habits, 13.0% and 34.2% of participants were current or former smokers, respectively. The daily reporting of symptoms was highly variable across participating hospitals; although 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 infectious diseases in hospital workers. This tool has already been tested in real conditions. HEpiTracker is available in Spanish, Portuguese, and English. It has the potential to become a customized asset to be used in future COVID-19 pandemic waves and other environments. TRIAL REGISTRATION: ClinicalTrials.gov NCT04326400; https://clinicaltrials.gov/ct2/show/NCT04326400 JMIR Publications 2020-09-21 /pmc/articles/PMC7511223/ /pubmed/32845852 http://dx.doi.org/10.2196/21653 Text en ©Joan B Soriano, Esteve Fernández, Álvaro de Astorza, Luis A Pérez de Llano, Alberto Fernández-Villar, Dolors Carnicer-Pont, Bernardino Alcázar-Navarrete, Arturo García, Aurelio Morales, María Lobo, Marcos Maroto, Eloy Ferreras, Cecilia Soriano, Carlos Del Rio-Bermudez, Lorena Vega-Piris, Xavier Basagaña, Josep Muncunill, Borja G Cosio, Sara Lumbreras, Carlos Catalina, José María Alzaga, David Gómez Quilón, Carlos Alberto Valdivia, Celia de Lara, Julio Ancochea. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 21.09.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Soriano, Joan B
Fernández, Esteve
de Astorza, Álvaro
Pérez de Llano, Luis A
Fernández-Villar, Alberto
Carnicer-Pont, Dolors
Alcázar-Navarrete, Bernardino
García, Arturo
Morales, Aurelio
Lobo, María
Maroto, Marcos
Ferreras, Eloy
Soriano, Cecilia
Del Rio-Bermudez, Carlos
Vega-Piris, Lorena
Basagaña, Xavier
Muncunill, Josep
Cosio, Borja G
Lumbreras, Sara
Catalina, Carlos
Alzaga, José María
Gómez Quilón, David
Valdivia, Carlos Alberto
de Lara, Celia
Ancochea, Julio
Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers
title Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers
title_full Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers
title_fullStr Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers
title_full_unstemmed Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers
title_short Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers
title_sort hospital epidemics tracker (hepitracker): description and pilot study of a mobile app to track covid-19 in hospital workers
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511223/
https://www.ncbi.nlm.nih.gov/pubmed/32845852
http://dx.doi.org/10.2196/21653
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