[Hospital assistance for COVID-19: a comparison between non-Italian and Italian resident population in five Italian Regions since the beginning of the pandemic until June 2021]. / Un confronto tra italiani e stranieri residenti nell'assistenza ospedaliera per COVID-19 in cinque Regioni italiane da inizio pandemia a giugno 2021.
Epidemiol Prev
; 46(4): 49-58, 2022.
Article
in Italian
| MEDLINE | ID: covidwho-1955238
ABSTRACT
OBJECTIVES:
to describe trends of overall and intensive care hospitalization for COVID-19 since the beginning of the pandemic in Italy until June 2021, and to compare the results between foreign and Italian population.DESIGN:
retrospective observational study. SETTING ANDPARTICIPANTS:
hospital discharges of 28 million people living in Lombardy, Piedmont, Emilia-Romagna (Northern Italy), Toscana and Lazio (Central Italy) occurred between 22.02.2020 and 02.07.2021 in the hospitals located in each considered Region. MAIN OUTCOMEMEASURES:
two weekly outcomes were examined 1. the overall number of COVID-19 hospitalizations; 2. the number of COVID-19 hospitalizations in intensive care units.RESULTS:
a higher COVID-19 overall and intensive care unit hospitalization was found among the foreign population compared to Italians. The association emerged only after the adjustment for age, and it was consistent among all Regions, though less marked in Lombardy. The association varied across epidemic phases.CONCLUSIONS:
the issue of vulnerability of migrants to the risk of severe COVID-19 calls for a diversity-sensitive approach in prevention. The specific country of origin and the prevalence of preventable co-morbidities that are often underestimated in the migrant populations, and related to COVID-19 complications, should be taken into consideration in future analyses.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pandemics
/
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
Europa
Language:
Italian
Journal:
Epidemiol Prev
Journal subject:
Epidemiology
Year:
2022
Document Type:
Article
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