COVIDApp: A health application as an innovative strategy for the management of the COVID-19 pandemic in longterm care facilities

P. Echeverria, M. Mas,J. Puig, M. Isnard,M. Massot, C. Vedia, R. Peiro, Y. Ordorica, S. Pablo, M. Ulldemolins, M. Iruela,D. Balart,J. Ruiz, J. Herms,B. Clotet,E. Negredo

JOURNAL OF THE INTERNATIONAL AIDS SOCIETY(2020)

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摘要
Background: The COVID-19 pandemic has caused an unprecedented worldwide public health crisis that requires new approaches COVIDApp is a mobile application for the management of institutionalised individuals in long-term care facilities (LTCF) Methods: COVIDApp was implemented in 196 care centres in collaboration with 64 primary care teams Objectives: early detection;selfisolation of suspected cases and rapid diagnosis;remote treatment and monitoring of mild cases;and real-time monitoring of the progression of the infection The following parameters of COVID-19 were reported daily: signs/symptoms;diagnosis by polymerase chain reaction;absence of symptoms for =14 days;total deaths;and healthcare workers isolated with suspected COVID-19 The number of centres at risk was also described Results: Data were recorded from =10 000 institutionalised individuals and up to 4000 healthcare workers between 1 and 30 April 2020 A rapid increase in suspected cases was seen until Day 6 but decreased during the 2 last weeks (from 1084 to 282 cases) Confirmed cases increased from 419 cases (Day 6) to 1293 cases (Day 22), remaining stable during the last week Around 49 2% remained asymptomatic =14 days A total of 854 (8%) deaths were reported (383 in suspected/confirmed cases) The number of isolated healthcare workers remained high over the 30 days;suspected cases decreased during the last 2 weeks The number of high-risk LTCF decreased from 9 5% to 1 5% (Figure 1) Conclusions: COVIDApp could help clinicians to rapidly detect and remotely monitor suspected and confirmed cases of COVID-19 among institutionalised individuals, thus limiting the risk of spreading the virus The platform shows the progression of infection in real time and can help us to design new monitoring strategies
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