The COVID-19 epidemic deeply disrupted the French health system in what was already a difficult context.
The broad objective of this project is to assess the direct and indirect effects of the epidemic (and/or lockdown) on the health of the French population using French National Health Data System (SNDS) data.
Patient cohorts with chronic pathologies that can be readily identified in the SNDS (e.g., solid tumor cancer, AIDS, sickle cell disease, cystic fibrosis, kidney failure requiring dialysis, diabetes, psychiatric disorders) will be drawn up: For each cohort the following information will be determined:
- levels of treatment use and consumption, morbidity, and mortality (before, during and after France’s first lockdown period, March 17-May 11, 2020);
- frequency of serious COVID-19 infections: admission to ICU, in-hospital mortality, mortality up to 60 days beyond hospital admission;
- population heterogeneity in connection with mortality-associated factors: sex, age, comorbidities, social categories (determined using INSEE’s index of social deprivation), type of residence (institution versus ordinary household), type of employment, place of birth, and geographic zone in France.
Funders: le Ministère des Solidarités et de la Santé, dans le cadre du Programme de Recherche sur la Performance du Système de soins (PREPS)
- hospital complex of Annecy-Genevois (Tristan Delory);
- INED (Sophie Le Coeur, Myriam Khlat, Gil Bellis, Émilie Counil, INED Statistical Methods Service);
- INSERM Mixed Research/Service Unit 1136 (Nathanaël Lapidus, Pierre-Yves Boëlle, Gilles Hejblum).
Online :June 2021