Unemployment and early retirement among patients with epilepsy – A study on predictors, resilience factors and occupational reintegration measures

Abstract

The primary aim of this study was to identify predictors and resilience factors for unemployment and early retirement in patients with epilepsy of working age based on data from a multicenter German cohort study performed in 2020 (n = 456) by using multivariate binary logistic regression analysis. A second aim was to assess the assumed working ability of patients as well as the use of occupational reintegration measures. The unemployment rate was 8.3%, and 18% of patients had retired early due to epilepsy. Multivariate binary logistic regression analysis identified the presence of a relevant disability and frequent seizures as significant predictors of unemployment and early retirement, while seizures in remission were the only resilience factor associated with job retention. Regarding occupational incapacity, at the time of the survey, most of the patients in early retirement or unemployment were fit for work in their original or extended occupational setting. The proportion of patients with recent epilepsy-related occupational retraining (0.4%) or job changes (0.9%) was low, and only 2.4% reported an epilepsy-related reduction in work time. These findings underline the persistent disadvantage of patients with epilepsy in the professional field and the urgent need for effective, comprehensive work reintegration measures that must be made accessible for all patients.