Roland Polacsek Ernst
University in Witten, Germany
Title: The impact of psychosocial risk reduction on sickness absence leave days: Structural equation model analysis
Biography
Biography: Roland Polacsek Ernst
Abstract
Objectives: This study was conducted to determine the impact of workplace psychosocial risk reduction on sickness absence days of employees.
Methods: We used longitudinal data with two points of time: t0 represents the baseline analysis of psychosocial risk, at t1 the effects of psychosocial risk management measures between t0 and t1 were evaluated. At both points of time we determined the sickness leave absence days of employees. We measured Psychosocial Risk with the Module2 of Psychosocial Stressors (PBM2). Data for both t0 and t1 was available for 183 departments of 28 companies from various lines of business. The differences between t0 and t1 for the average PBM2 results and sick leave days for each department was calculated.
Results: The average sickness leave reduction was 0.9 days per employee (p<0,05). The psychosocial risk reductions on the 0-100% scales of the four PBM2 dimensions were: Social Climate (SC): 10.0%, Work Organisation (WO): 4.7%, Job Requirements (JR): 9.8% and for the Work Environment (WE): 17.4% (P<0.05). The structural equation model showed a significant relationship between the psychosocial risk reduction of the PBM2 dimensions and the decrease of sickness absence days.
Conclusion: Psychosocial risk management interventions led to a significant reduction in psychosocial risk. This improvement had a significant impact on the decrease of employees’ sickness absence days. Therefore the psychosocial risk reduction has a positive effect for employees and employers.