Predicting long-term sickness absence among retail workers after four days of sick-listing

• Main Authors: Corné AM Roelen (Author), Erwin M Speklé (Author), Birgit I Lissenberg-Witte (Author), Martijn W Heymans (Author), Willem van Rhenen (Author), Frederieke G Schaafsma (Author)
• Format: Book
• Published: Nordic Association of Occupational Safety and Health (NOROSH), 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

OBJECTIVE: This study tested and validated an existing tool for its ability to predict the risk of long-term (ie, ≥6 weeks) sickness absence (LTSA) after four days of sick-listing. METHODS: A 9-item tool is completed online on the fourth day of sick-listing. The tool was tested in a sample (N=13 597...