Carl Strömberg1, Emmanuel Aboagye1, Jan Hagberg1, Gunnar Bergström1, Malin Lohela-Karlsson2. 1. Institute of Environmental Medicine, Unit of Intervention and Implementation Research for Worker Health, Karolinska Institutet, Stockholm, Sweden. 2. Institute of Environmental Medicine, Unit of Intervention and Implementation Research for Worker Health, Karolinska Institutet, Stockholm, Sweden. Electronic address: malin.lohela.karlsson@ki.se.
Abstract
OBJECTIVES: The aim of this study was to propose wage multipliers that can be used to estimate the costs of productivity loss for employers in economic evaluations, using detailed information from managers. METHODS: Data were collected in a survey panel of 758 managers from different sectors of the labor market. Based on assumed scenarios of a period of absenteeism due to sickness, presenteeism and work environment-related problem episodes, and specified job characteristics (i.e., explanatory variables), managers assessed their impact on group productivity and cost (i.e., the dependent variable). In an ordered probit model, the extent of productivity loss resulting from job characteristics is predicted. The predicted values are used to derive wage multipliers based on the cost of productivity estimates provided by the managers. RESULTS: The results indicate that job characteristics (i.e., degree of time sensitivity of output, teamwork, or difficulty in replacing a worker) are linked to productivity loss as a result of health-related and work environment-related problems. The impact of impaired performance on productivity differs among various occupations. The mean wage multiplier is 1.97 for absenteeism, 1.70 for acute presenteeism, 1.54 for chronic presenteeism, and 1.72 for problems related to the work environment. This implies that the costs of health-related and work environment-related problems to organizations can exceed the worker's wage. CONCLUSIONS: The use of wage multipliers is recommended for calculating the cost of health-related and work environment-related productivity loss to properly account for actual costs.
OBJECTIVES: The aim of this study was to propose wage multipliers that can be used to estimate the costs of productivity loss for employers in economic evaluations, using detailed information from managers. METHODS: Data were collected in a survey panel of 758 managers from different sectors of the labor market. Based on assumed scenarios of a period of absenteeism due to sickness, presenteeism and work environment-related problem episodes, and specified job characteristics (i.e., explanatory variables), managers assessed their impact on group productivity and cost (i.e., the dependent variable). In an ordered probit model, the extent of productivity loss resulting from job characteristics is predicted. The predicted values are used to derive wage multipliers based on the cost of productivity estimates provided by the managers. RESULTS: The results indicate that job characteristics (i.e., degree of time sensitivity of output, teamwork, or difficulty in replacing a worker) are linked to productivity loss as a result of health-related and work environment-related problems. The impact of impaired performance on productivity differs among various occupations. The mean wage multiplier is 1.97 for absenteeism, 1.70 for acute presenteeism, 1.54 for chronic presenteeism, and 1.72 for problems related to the work environment. This implies that the costs of health-related and work environment-related problems to organizations can exceed the worker's wage. CONCLUSIONS: The use of wage multipliers is recommended for calculating the cost of health-related and work environment-related productivity loss to properly account for actual costs.
Authors: Staffan Marklund; Klas Gustafsson; Gunnar Bergström; Constanze Leineweber Journal: Int Arch Occup Environ Health Date: 2021-04-29 Impact factor: 3.015
Authors: Francisco Rodríguez-Cifuentes; Samuel Fernández-Salinero; Juan Antonio Moriano; Gabriela Topa Journal: Int J Environ Res Public Health Date: 2020-11-20 Impact factor: 3.390