Psychosocial determinants predicting long-term sickness absence: a register-based cohort study

Area of Science:

• Occupational Health
• Psychosocial Medicine
• Biostatistics

Background:

• Work disability and sick leave duration are significant concerns in occupational health.
• Understanding the determinants of sick leave length is crucial for effective intervention.
• Biomedical factors alone may not fully explain the variability in sick leave duration.

Purpose of the Study:

• To assess psychosocial determinants as explanatory variables for work disability duration.
• To estimate the predictive value of specific psychosocial factors from the Quickscan questionnaire for sick leave length.
• To compare the predictive power of psychosocial factors against biomedical determinants, such as diagnosis.

Main Methods:

• A cohort study of 4,981 insured Belgian patients was conducted.
• Sick leave duration was analyzed using Kaplan-Meier survival analysis.
• Cox regression and concordance index (C-index) were employed to identify predictive psychosocial determinants and compare model performances.

Main Results:

• Fourteen psychosocial determinants, including health perception, workload, and job satisfaction, were significantly related to sick leave length (p<0.10).
• A biopsychosocial model incorporating these determinants achieved a high predictive capacity (C-index: 0.80).
• In a subset analysis, the psychosocial model demonstrated superior predictive value (C-index: 0.73) compared to the biomedical model (C-index: 0.63) for predicting long-term sick leave.

Conclusions:

• A set of 14 psychosocial determinants effectively predicts the length of sick leave.
• Psychosocial factors offer better predictive capacity for long-term sick leave than diagnostic information alone.
• These findings highlight the importance of considering psychosocial aspects in managing work disability.