Design of an algorithm for measuring psychosocial risk factors in higher education teachers

Psychosocial factors have represented a major challenge for occupational safety and health, being one of the main causes that affect individuals' psychosocial well-being. Teachers are no exception, as they are exposed to multifactorial variables that impact their health.

To design an algorithm that measures the risk of exposure to psychosocial factors and guides the definition of specific control measures for higher education teachers.

Specific formulas were developed to tabulate responses, assigning scores from 1 to 5 points according to each selected option. This approach made it possible to average the opinions provided by the evaluated teachers. The formulas were applied in a pilot test to determine the level of risk of exposure to psychosocial factors, in accordance with the previously established scale.

The designed formulas allowed for the summation and averaging the evaluated dimensions, generating a matrix with the individually obtained responses. The overall calculated risk level was low, with values (between 3.6 and 4.1), although specific dimensions, such as task demands and work changes, reached a medium level of risk (3.3), according to the established scale. Finally, intervention options aimed at managing these risks were described.

The proposed algorithm represents a significant advance in the efficient management of psychosocial factors affecting teachers. This tool facilitates the analysis of risk levels and the planning of appropriate actions, providing a practical approach to address psychosocial challenges within this academic population.