Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees.

Autor: Nyberg, Solja T., Elovainio, Marko, Pentti, Jaana, Frank, Philipp, Ervasti, Jenni, Härmä, Mikko, Koskinen, Aki, Peutere, Laura, Ropponen, Annina, Vahtera, Jussi, Virtanen, Marianna, Airaksinen, Jaakko, Batty, G. David, Kivimäki, Mika
Zdroj: Scandinavian Journal of Work, Environment & Health; 2023, Vol. 49 Issue 8, p610-620, 11p
Abstrakt: The article focuses on predicting long-term sickness absence among shift workers, comparing the effectiveness of risk estimation from employee questionnaires and administrative records. Topics discussed include the study's methodology, discrimination abilities of different models, and the need for further research to generalize the findings.
Databáze: Complementary Index