Your browser doesn't support javascript.
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.
  • Soriano JB; Hospital Universitario La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
  • Fernández E; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
  • de Astorza Á; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
  • Pérez de Llano LA; Unidad de Control del Tabaco, Centro Colaborador de la OMS para el Control del Tabaco, Institut Català d'Oncologia-ICO, Hospitalet de Llobregat, Barcelona, Spain.
  • Fernández-Villar A; Grupo de Control y Prevención del Cáncer, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
  • Carnicer-Pont D; Departamento de Ciencias Clínicas, Facultad de Medicina, Universitat de Barcelona, Hospitalet de Llobregat, Barcelona, Spain.
  • Alcázar-Navarrete B; Servicio de Neumología, Hospital de Can Misses, Ibiza, Spain.
  • García A; Servicio de Neumología, Hospital Lucus Augusti, Lugo, Spain.
  • Morales A; Servicio de Neumología, Hospital Álvaro Cunqueiro, Vigo, Spain.
  • Lobo M; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
  • Maroto M; Unidad de Control del Tabaco, Centro Colaborador de la OMS para el Control del Tabaco, Institut Català d'Oncologia-ICO, Hospitalet de Llobregat, Barcelona, Spain.
  • Ferreras E; Grupo de Control y Prevención del Cáncer, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
  • Soriano C; Departamento de Ciencias Clínicas, Facultad de Medicina, Universitat de Barcelona, Hospitalet de Llobregat, Barcelona, Spain.
  • Del Rio-Bermudez C; Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
  • Vega-Piris L; Servicio de Neumología, Hospital de Alta Resolución de Loja, Loja, Spain.
  • Basagaña X; Fundación Teófilo Hernando, Madrid, Spain.
  • Muncunill J; Fundación Teófilo Hernando, Madrid, Spain.
  • Cosio BG; Fundación Teófilo Hernando, Madrid, Spain.
  • Lumbreras S; Fundación Teófilo Hernando, Madrid, Spain.
  • Catalina C; Fundación Teófilo Hernando, Madrid, Spain.
  • Alzaga JM; CIMNE - International Center for Numerical Methods in Engineering, Barcelona, Spain.
  • Gómez Quilón D; SAVANA Med, Madrid, Spain.
  • Valdivia CA; Unidad de Metodología, IIS del Hospital Universitario La Princesa, Madrid, Spain.
  • de Lara C; ISGlobal, Universitat Pompeu Fabra, Barcelona, Spain.
  • Ancochea J; IdISBa, Palma, Spain.
JMIR Public Health Surveill ; 6(3): e21653, 2020 09 21.
Article in English | MEDLINE | ID: covidwho-789092
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Personnel, Hospital / Pneumonia, Viral / Mass Screening / Population Surveillance / Coronavirus Infections / Epidemics / Mobile Applications / Hospitals Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 21653

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Personnel, Hospital / Pneumonia, Viral / Mass Screening / Population Surveillance / Coronavirus Infections / Epidemics / Mobile Applications / Hospitals Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 21653