LAUSR

Objectives To identify factors associated with work readaptation after sick leaves in a group of public workers in Brazil. Methods Case-control study of sick leaves in a university campus from 2010 to 2015. Logistic regression models were adjusted for two different response variables: readaptation and readaptation with limitations. A digital database was created and completed with data from manual sources. Results Age at the beginning of the process, number of sick leaves, those of more than 16 days, average duration (total time of sick leaves/number of medical records), and mid-level healthcare positions were associated with work readaptation. In the model of readaptation with limitations, the age of hiring by the university, the number of sick leaves, those of more than 16 days, and mid-level healthcare positions, both rural work and operational positions were associated to the response variable. Discussion A computerized database has been created, based on manual records, which has allowed us to identify labour and non-labour factors associated with the return to work after a sick leave and the possible functional readaptation, with or without limitation, in public workers. This has allowed proposing more efficient management of health measures to this population.