Prevalence of, and factors associated with, long-term COVID-19 sick leave in working-age patients followed in general practices in Germany.
Por:
Jacob L., Koyanagi A, Smith L, Tanislav C, Konrad M, van der Beck S and Kostev K
Publicada:
1 ago 2021
Ahead of Print:
2 jul 2021
Resumen:
OBJECTIVES: To investigate the prevalence of, and the factors associated with, long-term sick leave in working-age patients diagnosed with COVID-19 in general practices in Germany. METHODS: Patients aged 18-65 years diagnosed with COVID-19 in any of 1255 general practices in Germany between March 2020 and February 2021 were included in the study. Long-term sick leave was defined as sick leave of at least 4 weeks. The association between predefined independent variables and long-term sick leave was studied using an adjusted logistic regression model. RESULTS: This study included 30 950 patients diagnosed with COVID-19 (51.7% women, mean (standard deviation) age 41.5 (±13.0) years). The prevalence of long-term sick leave was 5.8%. Female sex, older age, and several conditions (noninfective enteritis and colitis; reaction to severe stress, and adjustment disorders; atopic dermatitis; mononeuropathies; reflux diseases; diabetes mellitus; and hypertension) were positively and significantly associated with long-term sick leave. CONCLUSION: Long-term sick leave was relatively rare in COVID-19 patients followed in general practices in Germany. These results should be confirmed or invalidated in other settings and countries.
Filiaciones:
Jacob L.:
Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona 08830, Spain
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux 78180, France
Koyanagi A:
Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluis Companys 23, 08010 Barcelona, Spain
Smith L:
The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK
Tanislav C:
Department of Geriatrics and Neurology, Diakonie Hospital Jung Stilling Siegen, Germany
Konrad M:
Health & Social, FOM University of Applied Sciences for Economics and Management, Frankfurt am Main, Germany
van der Beck S:
Epidemiology, IQVIA, Frankfurt, Germany
Kostev K:
Epidemiology, IQVIA, Frankfurt, Germany
Green Published, Green Accepted, gold
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