Mostrar el registro sencillo del ítem
dc.contributor.author | Soriano, Joan B. |
dc.contributor.author | Basagaña Flores, Xavier |
dc.contributor.author | Ancochea, Julio |
dc.date.accessioned | 2022-05-25T05:35:16Z |
dc.date.available | 2022-05-25T05:35:16Z |
dc.date.issued | 2020 |
dc.identifier.citation | Soriano JB, Fernández E, de Astorza Á, Pérez de Llano LA, Fernández-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 Sep 21;6(3):e21653. DOI: 10.2196/21653 |
dc.identifier.issn | 2369-2960 |
dc.identifier.uri | http://hdl.handle.net/10230/53238 |
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. Trial registration: ClinicalTrials.gov NCT04326400; https://clinicaltrials.gov/ct2/show/NCT04326400. |
dc.format.mimetype | application/pdf |
dc.language.iso | eng |
dc.publisher | JMIR Publications |
dc.relation.ispartof | JMIR Public Health Surveill. 2020 Sep 21;6(3):e21653 |
dc.rights | 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. |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.title | Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers |
dc.type | info:eu-repo/semantics/article |
dc.identifier.doi | http://dx.doi.org/10.2196/21653 |
dc.subject.keyword | COVID-19 |
dc.subject.keyword | App |
dc.subject.keyword | Coronavirus |
dc.subject.keyword | E-medicine |
dc.subject.keyword | Monitoring |
dc.subject.keyword | Surveillance |
dc.subject.keyword | Symptoms |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
dc.type.version | info:eu-repo/semantics/publishedVersion |