Fiche publication
Date publication
août 2024
Journal
PloS one
Auteurs
Membres identifiés du Cancéropôle Est :
Dr MOITRY Marie
Tous les auteurs :
Milcent C, Ramaroson H, Maury F, Binder-Foucard F, Moitry M, Moulin AM
Lien Pubmed
Résumé
To counter the spread of COVID-19, the French government imposed several stringent social and political measures across its entire population. We hereto assess the impact of these political decisions on healthcare access in 2020, focusing on patients who suffered from an ischemic stroke. We divide our analysis into four distinct periods: the pre-COVID-19 pandemic period, the lockdown period, the "in-between" or transitional period, and the shutdown period. Our methodology involves utilizing a retrospective dataset spanning 2019-2020, an exhaustive French national hospital discharge diagnosis database for stroke inpatients, integrated with income information from the reference year of 2019. The results reveal that the most affluent were more likely to forgo medical care, particularly in heavily affected areas. Moreover, the most disadvantaged exhibited even greater reluctance to seek care, especially in the most severely impacted regions. The data suggest a loss of opportunity for less severely affected patients to benefit from healthcares during this lockdown period, regardless of demographic, location, and socioeconomic determinants. Furthermore, our analysis reveals a notable discrepancy in healthcare-seeking behavior, with less affluent patients and seniors (over 75 years old) experiencing slower rates of return to healthcare access compared to pre-pandemic levels. This highlights a persistent gap in healthcare accessibility, particularly among socioeconomically disadvantaged groups, despite the easing of COVID-19 restrictions.
Mots clés
Humans, COVID-19, epidemiology, Aged, Male, Female, Retrospective Studies, France, epidemiology, Middle Aged, Health Services Accessibility, Stroke, therapy, Hospitalization, statistics & numerical data, Aged, 80 and over, SARS-CoV-2, Patient Acceptance of Health Care, statistics & numerical data, Pandemics, Socioeconomic Factors
Référence
PLoS One. 2024 08 28;19(8):e0307220
