Effectiveness of a digital data gathering system to manage the first pandemic wave among healthcare workers in a main European coronavirus disease 2019 (COVID-19) tertiary-care hospital.
Antimicrob Steward Healthc Epidemiol
; 2(1): e66, 2022.
Article
in English
| MEDLINE | ID: covidwho-1860212
ABSTRACT
Objective:
To evaluate the information collected from workers infected with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) or close contacts using a digital data gathering system (DDGS) developed at the onset of the coronavirus disease 2019 (COVID-19) pandemic to better manage the spread of infection at our hospital.Design:
Observational retrospective study.Setting:
Tertiary University Hospital "Spedali Civili" Hospital, Brescia, Italy.Participants:
Workers (most of whom are healthcare workers) employed at the hospital.Methods:
The information collected by the DDGS was transferred to the IBM SPSS statistical software package and then statistically analyzed.Results:
Overall, â¼16% of the hospital workforce was infected by SARS-CoV-2 in the first pandemic wave. Nurses were the professional category with the highest infection rate (â¼15%). The asymptomatic rate of infection was between 31% and 62%. Positive molecular swabs were significantly more frequent in workers undergoing the test after sending a signaling form to our DDGS. Among workers sending the signaling forms, the information about symptoms was more predictive in terms of risk, compared to the close-contact information. The concordance between molecular swabs and subsequent serological testing was significantly higher in workers signaling their at-risk condition through the DDGS.Conclusions:
Overall, our data demonstrate the advantages of a digital system to gather information from workers, which is useful for managing emergencies such as the COVID-19 pandemic. This holds particularly true for large organizations such as hospitals.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Experimental Studies
/
Observational study
/
Prognostic study
Language:
English
Journal:
Antimicrob Steward Healthc Epidemiol
Year:
2022
Document Type:
Article
Affiliation country:
Ash.2022.48
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