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Unemployment and early retirement among patients with epilepsy - A study on predictors, resilience factors and occupational reintegration measures.
Willems, Laurent M; Zöllner, Johann Philipp; Hamann, Laura; Knake, Susanne; Kovac, Stjepana; von Podewils, Felix; Rosenow, Felix; Strzelczyk, Adam.
Afiliación
  • Willems LM; Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany. Electronic address: Laur
  • Zöllner JP; Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.
  • Hamann L; Department of Neurology, University Hospital Greifswald, Greifswald, Germany.
  • Knake S; Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg, Germany.
  • Kovac S; Epilepsy Center Münster-Osnabrück, Department of Neurology, Institute of Translational Neurology, University of Münster, Münster, Germany.
  • von Podewils F; Department of Neurology, University Hospital Greifswald, Greifswald, Germany.
  • Rosenow F; Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.
  • Strzelczyk A; Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany; LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.
Epilepsy Behav ; 144: 109255, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37209554
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Desempleo / Epilepsia Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Desempleo / Epilepsia Tipo de estudio: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2023 Tipo del documento: Article