Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers.
Adult
Betacoronavirus
Body Temperature
COVID-19
Coronavirus Infections
/ complications
Disclosure
Epidemics
Female
Health Status
Hospitals
Humans
Male
Mass Screening
/ methods
Middle Aged
Mobile Applications
Pandemics
Personnel, Hospital
Pilot Projects
Pneumonia, Viral
/ complications
Population Surveillance
/ methods
SARS-CoV-2
Spain
/ epidemiology
Telemedicine
COVID-19
app
coronavirus
e-medicine
monitoring
surveillance
symptoms
Journal
JMIR public health and surveillance
ISSN: 2369-2960
Titre abrégé: JMIR Public Health Surveill
Pays: Canada
ID NLM: 101669345
Informations de publication
Date de publication:
21 09 2020
21 09 2020
Historique:
received:
21
06
2020
accepted:
21
08
2020
revised:
29
07
2020
pubmed:
28
8
2020
medline:
3
10
2020
entrez:
27
8
2020
Statut:
epublish
Résumé
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. We aimed to develop and test an effective and user-friendly tool to identify and track symptoms compatible with COVID-19 in hospital workers. 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. 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. 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. ClinicalTrials.gov NCT04326400; https://clinicaltrials.gov/ct2/show/NCT04326400.
Sections du résumé
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.
Identifiants
pubmed: 32845852
pii: v6i3e21653
doi: 10.2196/21653
pmc: PMC7511223
doi:
Banques de données
ClinicalTrials.gov
['NCT04326400']
Types de publication
Evaluation Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e21653Informations de copyright
©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.
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