Article review: Can you predict in advance whether an employees will take long-term sickness absence?

  • Iván Devosa Károli Gáspár University, Kecskemét, Hungary
DOI: https://doi.org/10.24365/ef.v63i2.7502
Keywords: prediction model, prospective cohort study, prevention, calibration, discrimination, development

References

van der Burg, L., van Kuijk, S., Ter Wee, M. M., Heymans, M. W., de Rijk, A. E., Geuskens, G. A., Ottenheijm, R., Di-nant, G. J., & Boonen, A. (2020). Long-term sickness absence in a working population: development and va-lidation of a risk prediction model in a large Dutch prospective cohort. BMC Public Health 20, 699. https://doi.org/10.1186/s12889-020-08843-x

KSH (2021): 25.1.1.30. Egészségbiztosítás, táppénz* https://www.ksh.hu/stadat_files/szo/hu/szo0030.html

Published
2022-06-01
How to Cite
Devosa, I. (2022). Article review: Can you predict in advance whether an employees will take long-term sickness absence?. Health Promotion, 63(2), 82-83. https://doi.org/10.24365/ef.v63i2.7502
Issue
Vol. 63 No. 2 (2022)
Section
Article review

Copyright (c) 2022 Iván Devosa

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