Objectives: We aimed to investigate possible differences in the aggregated hospital fatality rate from coronavirus disease 2019 (COVID-19) in France at the early phase of the outbreak and to determine whether factors related to population or healthcare supply before the pandemic could be associated with outcome differences.
Study design: This is a nationwide observational study including all French hospitals from January 24, 2020, to April 11, 2020.
Methods: We analyzed the aggregated hospital fatality rate. A Poisson regression was performed to investigate associations between characteristics pertaining to populational health, socio-economic context and local healthcare supply at baseline, and the chosen outcome.
Results: On April 11, 2020, a total number of 30,960 patients were hospitalized among the 3046 French healthcare facilities, including 6832 patients in the intensive care unit (ICU). A total of 8581 deaths due to COVID-19 had been recorded, with a median mortality rate per 10,000 people per department of 0.53 (interquartile range: 0.29-1.90). There were significant variations between the 95 French departments even after adjusting for outbreak inception (P < 0.001). After multivariable analysis, four factors were independently associated with a significantly higher aggregated hospital fatality rate: a higher ICU capacity at baseline (estimate = 1.47; P = 0.00791), a lower density of general practitioners (estimate = 0.95; P = 0.0205), a lower fraction of activity from the for-profit private sector (estimate = 0.99; P < 0.001), and the ratio of people older than 75 years (estimate = 0.91; P = 0.0023).
Conclusions: The aggregated hospital fatality rate from COVID-19 in France seems to vary among geographic areas, with some factors pertaining to local healthcare supply being associated with the outcome.
Keywords: Aggregated fatality rate; COVID-19; Care environment; Social factors.
Copyright © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.