A doctoral thesis from the University of Gothenburg reveals that monitoring changes in work capacity can identify employees at risk of taking sick leave before absences occur. The research suggests that shifts in how much work an employee can handle serve as early warning signals for occupational health professionals and employers.
The thesis examines patterns in worker productivity and performance metrics to detect declining capacity. By tracking these changes over time, organizations can intervene with targeted support before an employee reaches a crisis point requiring medical leave.
This approach offers practical value for workplace health management. Early identification allows employers to offer accommodations, flexible schedules, or other interventions that may prevent extended absences. The findings suggest that work capacity functions as a measurable indicator of underlying health or wellbeing concerns.
The research builds on existing occupational health literature examining the relationship between work performance and health outcomes. Previous studies have shown links between declining productivity and conditions like burnout, depression, and physical health problems. This thesis contributes by establishing work capacity changes as a predictive metric.
The implications extend beyond individual workers. Organizations implementing early detection systems based on these findings could reduce overall sick leave costs and maintain workforce continuity. However, the approach requires careful implementation to balance employee monitoring with privacy concerns and ethical workplace practices.
The thesis addresses a gap in occupational health by focusing on prevention rather than treatment of absence. Rather than waiting for employees to request sick leave, this method enables proactive support.
The University of Gothenburg research team developed their framework through analysis of workplace data, though specific sample sizes and methodologies remain typical of academic theses. The findings represent one perspective on measuring work capacity and may require validation across different industries and organizational contexts before widespread adoption.