Publication: Hospital Epidemics Tracker (HEpiTracker): Description and Pilot Study of a Mobile App to Track COVID-19 in Hospital Workers
| dc.contributor.author | Soriano, Joan B | |
| dc.contributor.author | Fernandez, Esteve | |
| dc.contributor.author | de Astorza, Alvaro | |
| dc.contributor.author | Perez de Llano, Luis Alejandro | |
| dc.contributor.author | Fernandez-Villar, Alberto | |
| dc.contributor.author | Carnicer-Pont, Dolors | |
| dc.contributor.author | Alcazar-Navarrete, Bernardino | |
| dc.contributor.author | Garcia, Arturo | |
| dc.contributor.author | Morales, Aurelio | |
| dc.contributor.author | Lobo, Maria | |
| dc.contributor.author | Maroto, Marcos | |
| dc.contributor.author | Ferreras, Eloy | |
| dc.contributor.author | Soriano, Cecilia | |
| dc.contributor.author | Del Rio-Bermudez, Carlos | |
| dc.contributor.author | Vega-Piris, Lorena | |
| dc.contributor.author | Basagana, Xavier | |
| dc.contributor.author | Muncunill Farreny, Josep | |
| dc.contributor.author | García-Cosío, Borja | |
| dc.contributor.author | Lumbreras, Sara | |
| dc.contributor.author | Catalina, Carlos | |
| dc.contributor.author | Alzaga, Jose María | |
| dc.contributor.author | Gomez Quilon, David | |
| dc.contributor.author | Alberto Valdivia, Carlos | |
| dc.contributor.author | de lara, Celia | |
| dc.contributor.author | Ancochea, Julio | |
| dc.date.accessioned | 2024-09-13T09:13:33Z | |
| dc.date.available | 2024-09-13T09:13:33Z | |
| dc.date.issued | 2020-07 | |
| dc.description.abstract | 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. | en |
| dc.format.number | 3 | es_ES |
| dc.format.page | 475-487 | es_ES |
| dc.format.volume | 6 | es_ES |
| dc.identifier.citation | Soriano JB, Fernandez E, De Astorza A, Perez De Llano LA, Fernandez-Villar A, Carnicer-Pont D, et al. Hospital Epidemics Tracker (HEpiTracker): Description and Pilot Study of a Mobile App to Track COVID-19 in Hospital Workers. JMIR Public Health Surveill. 2020 Jul;6(3):475-87. | en |
| dc.identifier.doi | 10.2196/21653 | |
| dc.identifier.issn | 2369-2960 | |
| dc.identifier.journal | JMIR Public Health and Surveillance | es_ES |
| dc.identifier.other | http://hdl.handle.net/20.500.13003/17050 | |
| dc.identifier.pubmedID | 32845852 | es_ES |
| dc.identifier.scopus | 2-s2.0-85097886831 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12105/22929 | |
| dc.identifier.wos | 578947300044 | |
| dc.language.iso | eng | en |
| dc.publisher | JMIR Publications | |
| dc.relation.publisherversion | https://dx.doi.org/10.2196/21653 | en |
| dc.rights.accessRights | open access | en |
| dc.rights.license | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | app | |
| dc.subject | COVID-19 | |
| dc.subject | Coronavirus | |
| dc.subject | e-medicine | |
| dc.subject | Monitoring | |
| dc.subject | Symptoms | |
| dc.subject | Surveillance | |
| dc.subject.decs | Betacoronavirus | * |
| dc.subject.decs | Telemedicina | * |
| dc.subject.decs | Femenino | * |
| dc.subject.decs | COVID-19 | * |
| dc.subject.decs | Hospitales | * |
| dc.subject.decs | Aplicaciones Móviles | * |
| dc.subject.decs | Masculino | * |
| dc.subject.decs | Proyectos Piloto | * |
| dc.subject.decs | Humanos | * |
| dc.subject.decs | Persona de Mediana Edad | * |
| dc.subject.decs | SARS-CoV-2 | * |
| dc.subject.decs | Tamizaje Masivo | * |
| dc.subject.decs | Estado de Salud | * |
| dc.subject.decs | Vigilancia de la Población | * |
| dc.subject.decs | Epidemias | * |
| dc.subject.decs | Personal de Hospital | * |
| dc.subject.decs | Temperatura Corporal | * |
| dc.subject.decs | Neumonía Viral | * |
| dc.subject.decs | Adulto | * |
| dc.subject.decs | Revelación | * |
| dc.subject.decs | Infecciones por Coronavirus | * |
| dc.subject.decs | España | * |
| dc.subject.decs | Pandemias | * |
| dc.subject.mesh | Coronavirus Infections | * |
| dc.subject.mesh | Body Temperature | * |
| dc.subject.mesh | SARS-CoV-2 | * |
| dc.subject.mesh | Spain | * |
| dc.subject.mesh | Adult | * |
| dc.subject.mesh | Humans | * |
| dc.subject.mesh | Health Status | * |
| dc.subject.mesh | Mass Screening | * |
| dc.subject.mesh | Middle Aged | * |
| dc.subject.mesh | Mobile Applications | * |
| dc.subject.mesh | Hospitals | * |
| dc.subject.mesh | Betacoronavirus | * |
| dc.subject.mesh | Pandemics | * |
| dc.subject.mesh | Population Surveillance | * |
| dc.subject.mesh | Epidemics | * |
| dc.subject.mesh | Personnel, Hospital | * |
| dc.subject.mesh | Male | * |
| dc.subject.mesh | Pilot Projects | * |
| dc.subject.mesh | Female | * |
| dc.subject.mesh | Telemedicine | * |
| dc.subject.mesh | COVID-19 | * |
| dc.subject.mesh | Disclosure | * |
| dc.subject.mesh | Pneumonia, Viral | * |
| dc.title | Hospital Epidemics Tracker (HEpiTracker): Description and Pilot Study of a Mobile App to Track COVID-19 in Hospital Workers | en |
| dc.type | research article | en |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | b9db5b2d-44c4-4d09-8de8-781466b510e3 | |
| relation.isAuthorOfPublication.latestForDiscovery | b9db5b2d-44c4-4d09-8de8-781466b510e3 | |
| relation.isPublisherOfPublication | 6896baaf-fddf-4e9b-bf5e-813dce3a11f8 | |
| relation.isPublisherOfPublication.latestForDiscovery | 6896baaf-fddf-4e9b-bf5e-813dce3a11f8 |


