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Socioeconomic inequalities in COVID-19 - An analysis of health insurance data

BACKGROUND: Evidence on socioeconomic inequalities in COVID-19 outcomes largely rests on ecological studies. Only few studies investigated inequalities in different COVID-19 outcomes prospectively on an individual level. We therefore conducted an analysis of German health insurance data to assess so...

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Detalles Bibliográficos
Autores principales: Wachtler, B, Beese, F, Wahrendorf, M, Hoebel, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596579/
http://dx.doi.org/10.1093/eurpub/ckad160.1264
Descripción
Sumario:BACKGROUND: Evidence on socioeconomic inequalities in COVID-19 outcomes largely rests on ecological studies. Only few studies investigated inequalities in different COVID-19 outcomes prospectively on an individual level. We therefore conducted an analysis of German health insurance data to assess socioeconomic inequalities in COVID-19 incidence and hospitalizations within a cohort of insured individuals. METHODS: We used data of 3.17 million working-aged individuals (18 to 67 years) from various statutory health insurances in Germany. Educational level and occupational position were used as measures of socioeconomic position (SEP). We calculated directly age-standardized incidence rates per 1000 person-weeks (IR) and incidence rate ratios (IRR) among the sample population for COVID-19 incidence and COVID-19 hospitalizations for each exposure during the first four pandemic waves (01.01.2020-31.12.2021). RESULTS: Age-standardized IR and IRR of COVID-19 incidence and hospitalizations showed social gradients with higher rates in socioeconomically more disadvantaged groups. Incidence risk was higher among those in a low occupational position (IRR low vs. high: 1.29, 95% CI 1.27-1.31) and with a low level of education (IRR low vs. high: 1.36, 95% CI 1.34-1.38). Inequalities in COVID-19 hospitalizations were more pronounced with an IRR for low vs. high occupational position of 2.29 (95% CI 2.10-2.50) and an IRR for low vs. high level of education of 1.86 (95% CI 1.72-2.03). CONCLUSIONS: We found socioeconomic inequalities in COVID-19 by education and occupational position, with inequalities in hospitalizations being more pronounced than those in incidence risk. These results show a high potential of prevention to improve population health and health equity in pandemics with novel respiratory pathogens. Further research on the underlying mechanisms of these inequalities in COVID-19 is needed. KEY MESSAGES: • Socioeconomically more disadvantaged individuals have a higher risk of COVID-19 and a severe disease progression. • These inequalities should be addressed in future pandemic preparedness planning in order to minimize the unequal health impacts of pandemics with new emerging diseases.