Use of health care services among people with Covid-19 symptoms in the first pandemic peak in France.

Abstract

In France, the first pandemic peak fell disproportionately on the most disadvantaged, as they were overrepresented in contaminations and in developing severe forms of the virus. At that time, and especially during lockdown, the French healthcare system was severely disrupted and limited. The issue of social differences in the use of healthcare by people experiencing symptoms of Covid-19 arose. Based on a random sample of 135,000 persons, we selected respondents who reported Covid-19-like symptoms (cough, fever, dyspnea, anosmia and/or ageusia) during the first lockdown (n = 12,422). The aim of this study was to determine if the use of health care services was likely to contribute to widen Covid-19 social inequalities. Use of health care services was classified in three categories: (1) no consultation, (2) out-of-hospital consultation(s) and (3) in-hospital consultation(s). We estimated odds ratio of utilization of health care using multinomial regressions, adjusted on social factors (age, gender, class, ethno-racial status, social class, standard of living and education), contextual variables, health variables, and symptoms characteristics. Altogether, 37.8% of the individuals consulted a doctor for their symptoms; 32.1% outside hospital and 5.7% in hospital. Use of health care services was strongly associated with social position2: the most disadvantaged social groups and racially minoritized immigrants were more likely to use health care, particularly for in-hospital consultation(s). The highest utilization of health care were found among older adults (OR 9.51, 95%CI 5.02-18.0 compared to the youngest age group), the racially minoritized first-generation immigrants (OR 1.61, 95%CI 1.09-2.36 compared to the mainstream population), the poorest (OR 1.31, 95%CI 1.00-1.72) and the least educated (OR 2.20, 95%CI 1.44-3.38). To conclude, we found that the use of health care services counteracted the potential impact of social inequalities in exposure and infection to the Covid-19.