Occupational health engagement combined with experience and science
SALUTION helps to maintain the health of employees and reduce costs in the company through
Reduction of sick days
Lower fluctuation
Higher Productivity
According to salutogenesis (Antonovsky), SALUTION examines aspects in your company that are important for the development and maintenance of health. Using a valid but simple and comprehensible scientific method, an employee survey can identify those aspects in your company that contribute to an increase in health and to lower fluctuation – and thus to high cost savings on the company side! We also offer to conduct a psychological risk assessment in accordance with § 5 of the German Occupational Health and Safety Act. SALUTION offers you compact and at the same time action-oriented solutions from a single source.
Focus on prevention
In our predictive model, SALUTION measures your employees’ stress levels, health and turnover intention. We show you which sickness absences or switching behavior you can expect within a period of one year after measurement. In doing so, we identify specific areas for action. This allows you to act preventively and avoid sickness costs, loss of productivity and unwanted fluctuation.
Legal obligation
Since 2013, every employer in Germany has been obliged to carry out a risk assessment that takes into account psychological risks in the workplace (PRA) (Section 5 of the Occupational Health and Safety Act). SALUTION offers you the know-how and the necessary tools to accompany your company in fulfilling this legal obligation.
All from one source
We offer you all services from one source: From consulting on the selection of the survey module, preparation of the employee survey, implementation, evaluation to results presentations and action workshops. We also offer individual, team and management coaching as well as workshops on specific topics.
Scientifically validated
The SALUTION method is based on the MEHQ questionnaire developed by Prof. Dr. Bettina Zweck: http://www.mehq.de. The method allows significant statistical predictions, as well as internal and external benchmarking.
